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	<updated>2026-04-17T02:58:59Z</updated>
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		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Standalone_Lessons&amp;diff=13939</id>
		<title>Standalone Lessons</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Standalone_Lessons&amp;diff=13939"/>
		<updated>2025-12-01T17:15:56Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;''If you have questions or need help, you can email binap@googlegroups.com and your question will go to the group of teachers that made these lessons. These teachers are:&lt;br /&gt;
* Rita Ciambra, Peoples Academy High School, Morristown, Vermont&lt;br /&gt;
* Olivia Kuper, North Greene High School, Greeneville, Tennessee&lt;br /&gt;
* Tom Rutherford, East Tennessee State University, Johnson City, Tennessee / King University, Bristol, Tennessee&lt;br /&gt;
* Ace Schwarz, The Shipley School, Bryn Mawr, Pennsylvania&lt;br /&gt;
''&lt;br /&gt;
&lt;br /&gt;
''If you use any of these lessons please fill out [https://docs.google.com/forms/d/e/1FAIpQLSd6TifmguQa_MBlaFNs7H5WS_ZUGXM1ndJ6Xy2by3XHOplmwQ/viewform?usp=sf_link this Google Form]''&lt;br /&gt;
&lt;br /&gt;
'''High School / Astronomy 101''' &lt;br /&gt;
&lt;br /&gt;
[https://openstax.org/details/books/astronomy-2e OpenStax Astronomy Textbook] - This is a free Astronomy textbook for use as a reference.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1bN1q6bRCU5jsXcH8XT67qhMxhMylLRrach5LTXspoF4/edit?usp=sharing What is a Star and How does a Star Form?] - This is a short slideshow about star formation with an embedded activity.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1KZt2FEhfDGX_8CxCYjl8lOTeDaaUK2B3hb0y_TYX3Bk/edit?usp=sharing Waves and the Electromagnetic Spectrum] - This is a short slideshow with an embedded activity about waves and energy.  &lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/15q8oDQB7eqHK_C26qJGXLmEPvZo-HkOyIp23SLX0Dpc/edit?usp=sharing Filters] - This is a short slideshow with an embedded video and activity explaining filters.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1Oz0Kbp4ADiBcnirWciRyKWb5oJf549GDNc8W4pMtYiE/edit?usp=sharing What is a YSO?] - This is a short slideshow describing the different classes of young stellar objects (YSOs).&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1a75rUyGFdnE2GmNLye4zExWnJS2d_z3qzkjQYO9dx90/edit?usp=sharing What is a Color-Magnitude Diagram?] - A short set of notes describing a color-magnitude (Hertzsprung-Russell) diagram.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/document/d/12A1GQ6mf0feTEJzhqQqQHBhHmT3FknKORnT4TZSfGCY/edit#heading=h.qw1x8pn7qul Creating a Color-Magnitude Diagram using Gaia Data and IRSA] - This is an activity that has students use IRSA viewer to filter Gaia data and use that data to create color-magnitude diagrams of clusters. Students use the color-magnitude diagrams to answer analysis questions about each cluster.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/19oB_-BEO9IWiDNf5ss9xAnCs9N6mLycak5Zc10CKIxw/edit?usp=sharing What is a Color-Color Diagram?] - This is a short explanation of what a color-color magnitude diagram is and what it can tell you.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1sx5CmkVTbN23OzBbnyOTlK_bFpGtvEvbrxZEYD4ZTKA/edit?usp=sharing What is Color?] - This is a slideshow explaining color and how it is used for color-color diagrams. It has embedded activities related to color and making color-color plots.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1s-8DlBDgJ__FCKtgsBtWwGCjB3FjfJgCpJA1aQDgatM/edit?usp=sharing Cracking the Color Code] - This is a hands-on activity on color, in the form of a mystery about sharpie markers. It introduces how color and color-color diagrams work in astronomy. Involves measuring and a lot of graphing. Includes [https://docs.google.com/document/d/1TA7DXkO6TEDy77F77xyJqSgEczhPP5897jGQXbQ68j8/edit?usp=sharing instructor notes] and [https://drive.google.com/file/d/1L2MmR4jIKnxWJ-gXiWDLldrbZilUmKz2/view?usp=sharing &amp;quot;cracking the color code&amp;quot; solution].&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1p8spn_HgGqWyXMD57jgtGYMzJfcAaAcKX4rTkiMXIsk/edit?usp=sharing Google Slides: ColorColor Why &amp;amp; How] and [https://docs.google.com/spreadsheets/d/1NGaDuLSH0YSkLWhkAXkti1LH7Tg4XB-WU9pk4m3Ipxw/edit?usp=sharing ColorColor Companion Data] - Together these two files attempt to establish a rationale for making color-color plots, using a contrived set of color objects. The beginning slides may look familiar, but they've been changed to emphasize wavelength instead of &amp;quot;color.&amp;quot; By starting with the general utility of color-color plotting, we hope the main ideas will be clear enough that the explicit steps can be understood and executed as the IRSA interface evolves. One file is a Google Slides document with instructions, and the other is a spreadsheet of values for the contrived 60-object set given on one of the slides. The spreadsheet provides rg&amp;amp;b values in hex, decimal, logs &amp;amp; mags along with other derived values to a) simulate the bewildering array of column headings in a real catalog and b) keep the focus on making the plot from data onhand instead of finding a catalog (perhaps the topic of another lesson). (From Vin Urbanowski and Donna Kaiser, 2025)&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[https://learn.k20center.ou.edu/lesson/1327 Classifying Stars with Spectra] - K20 lab for HS utilizing SDSS data and stellar spectra to find patterns and classify stars - has data for 20 stars, ppts, and group comparison.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1F8SNgPjz9WbmdFJiP7CZrQA7adr9WANg-T9d7l7XIWg/edit?usp=sharing Where Does the Data Come From?] - This is a slideshow with examples of different satellites and surveys that collect data in multiple wavelengths.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1NZhZ1ze5Stdq_PVdCU3HL43yhqE3KTWKcLxs-hOPac4/edit?usp=sharing What are SEDs and How to Interpret Them] - This is a slideshow that explains blackbody curves and spectral energy distributions.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/document/d/1n2h70YkvJd3XPdZ0anjTxo7dbgIGBfZBdftU-jtdJBA/edit?usp=sharing Using IRSA to Make Three-Color Images] - This is an activity that teaches students what they will see when they search for an image on IRSA. It also walks students through how to make a three-color image in IRSA.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1j9LvVLreOlC8avqU9YR8wm_BJwRJBNlCoN5Zmbm3M0U/edit?usp=sharing IRSA - Uploading a Catalog and Image Inspection] - This is a slideshow explaining how to upload a catalog to IRSA. It also explains how to accomplish image inspections for young stellar objects (YSOs).&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Middle School'''&lt;br /&gt;
&lt;br /&gt;
[https://www.canva.com/design/DAGL-FdioWw/pgjMQAad1eVa5kHH-1-t3A/edit?utm_content=DAGL-FdioWw&amp;amp;utm_campaign=designshare&amp;amp;utm_medium=link2&amp;amp;utm_source=sharebutton What is a Star and How Does it Form?] - This is a short slideshow for middle school students.&lt;br /&gt;
&lt;br /&gt;
[https://drive.google.com/file/d/1J8HLt080F2Cet13Tv426ECIFEWPTNzNk/view?usp=sharing What is a Star and How Does it Form? Open-Ended Questions] - This is an activity where middle school students write about what they learned about star formation.&lt;br /&gt;
&lt;br /&gt;
[https://nightsky.jpl.nasa.gov/docs/SNUniverseWo.pdf A Universe Without Supernovae] - This is a simple activity incorporating star life cycle with events and ties elements made during supernovae to daily life.&lt;br /&gt;
&lt;br /&gt;
[https://www.canva.com/design/DAGL-uV3GIk/lFcf7Ma-A6sTy9Tya7IrPA/edit?utm_content=DAGL-uV3GIk&amp;amp;utm_campaign=designshare&amp;amp;utm_medium=link2&amp;amp;utm_source=sharebutton Waves and the Electromagnetic Spectrum] - This is a short slideshow for middle school students.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1dsds2TJRGa8b6Zbhs4m6rHuqjd_2VL-JN7_oEDdduPg/edit?usp=sharing Waves and the Electromagnetic Spectrum 3-2-1 Summary with Reading] - This allows students to review the EMS and connect wavelength, frequency, and energy.&lt;br /&gt;
&lt;br /&gt;
[https://www.canva.com/design/DAGL-7GC900/vl9sC6BbL1qHz06sUaJFUA/edit?utm_content=DAGL-7GC900&amp;amp;utm_campaign=designshare&amp;amp;utm_medium=link2&amp;amp;utm_source=sharebutton Filters] - This is a slideshow for middle school students with embedded lab explaining filters.&lt;br /&gt;
&lt;br /&gt;
[https://www.canva.com/design/DAGMD1GX11k/OGjH9jYqOGFI5NIi2yhDvw/edit?utm_content=DAGMD1GX11k&amp;amp;utm_campaign=designshare&amp;amp;utm_medium=link2&amp;amp;utm_source=sharebutton What is a YSO?] - This is a slideshow for middle school students describing the different classes of YSOs and H-alpha emission lines.&lt;br /&gt;
&lt;br /&gt;
[https://www.canva.com/design/DAGMEBnRck4/KWbJBC7la3c7G61_kqH9pA/edit?utm_content=DAGMEBnRck4&amp;amp;utm_campaign=designshare&amp;amp;utm_medium=link2&amp;amp;utm_source=sharebutton What is a Color-Magnitude Diagram?] - This is a short slideshow for middle school students that explains what H-R diagrams are and includes a hands-on activity at the end.&lt;br /&gt;
&lt;br /&gt;
[https://www.canva.com/design/DAGMEeXbhVo/3I-nOcXuCCBklnADLmKVAw/edit?utm_content=DAGMEeXbhVo&amp;amp;utm_campaign=designshare&amp;amp;utm_medium=link2&amp;amp;utm_source=sharebutton What is a Color-Color Diagram?] - This is a presentation for middle school students about color-color diagrams with a short activity at the end.&lt;br /&gt;
&lt;br /&gt;
[https://www.canva.com/design/DAGMFsUAfpg/IHYXPJUW4GN7kwe8OGQWqg/edit?utm_content=DAGMFsUAfpg&amp;amp;utm_campaign=designshare&amp;amp;utm_medium=link2&amp;amp;utm_source=sharebutton How We View the Universe (where does the data come from?)] - This is a slideshow for middle school students about different telescopes that collect data in multiple wavelengths. There is a virtual telescope building activity at the end.&lt;br /&gt;
&lt;br /&gt;
[https://www.canva.com/design/DAGMbsBBDCk/X13JicB43VQHX9wwhCzJsA/edit?utm_content=DAGMbsBBDCk&amp;amp;utm_campaign=designshare&amp;amp;utm_medium=link2&amp;amp;utm_source=sharebutton Understanding and Interpreting SEDs and Blackbody Curves] - This slideshow is for middle school students and explains what SEDs and blackbody curves are, and it explains how to interpret a SED.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/document/d/1Tuq-uM51m6wTCXZCtuM3QvBXZIPoBrOVPWpdUt5qKWA/edit?usp=sharing Creating a Three-Color Image] - This activity is a guided exploration of IRSA Finder Chart and IRSA Viewer. It will help students create 3-color images.&lt;br /&gt;
&lt;br /&gt;
[https://www.canva.com/design/DAGM5zIF8bA/ESPkgPai7aV45FkFoKWoxA/edit?utm_content=DAGM5zIF8bA&amp;amp;utm_campaign=designshare&amp;amp;utm_medium=link2&amp;amp;utm_source=sharebutton Image Inspection with IRSA] - This slideshow is for middle school students and shows them how to inspect images with IRSA.&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Entry-Level_Research_Projects&amp;diff=13935</id>
		<title>Entry-Level Research Projects</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Entry-Level_Research_Projects&amp;diff=13935"/>
		<updated>2024-09-17T15:23:18Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;''If you have questions or need help, you can email binap@googlegroups.com and your question will go to the group of teachers that made these lessons.&lt;br /&gt;
''&lt;br /&gt;
&lt;br /&gt;
''If you use any of these projects please fill out this [https://docs.google.com/forms/d/e/1FAIpQLScGg_3-t9G-H9SLZUD4aw3VGxkpWOyMG8DZgnICEDX9CdcG0g/viewform?usp=sf_link Google form].''&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1XtLABn0jtDm4sZn-0mVwecFsu5oBKI-vD_5PMUcwgb0/edit?usp=sharing YSO Data Analysis Project] - This is a slideshow that explains the YSOs data analysis project and provides the links to single star pages for AFGL490 and IC417.&lt;br /&gt;
&lt;br /&gt;
Please note: The YSO Data Analysis Project that is outlined on this page is based on research done with real NITARP teams. This project models what it is like to analyze a real data set and come to conclusions based on scientific evidence. The most recent NITARP teams working on these kinds of projects yielded this journal article: [https://ui.adsabs.harvard.edu/abs/2023AJ....166...87R/abstract Young Stellar Object Candidates in IC 417] and this data delivery to IRSA: [https://irsa.ipac.caltech.edu/data/NITARP/IC417/overview.html IC 417]. If you are interested in doing a project that is more inquiry-based with less scaffolding, feel free to use the data and look at the journal article -- everything is open access, and the journal article includes (at the referee's insistence!) a rather long appendix that is almost a textbook, suitable for learning! An additional set of movies developed by Dr. Luisa Rebull for her NITARP teams that you might find useful for &amp;quot;freshening up&amp;quot; your background knowledge are: [https://www.youtube.com/playlist?list=PLjCjDYabTFm8pfXRQvUwZ8U5ddM3zw6sJ Filters, Mags, Colors, Oh My!], [https://youtu.be/3WNQUqTSRH8 NITARP: Crash Course in Star Formation] and [https://youtu.be/1Cip73i8voY NITARP Crash Course Patch: Star Formation], as well as [https://youtu.be/Mdr9K1DM89w NITARP: Crash Course in Infrared Missions].&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Exercises_with_IRSA_tools&amp;diff=13926</id>
		<title>Exercises with IRSA tools</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Exercises_with_IRSA_tools&amp;diff=13926"/>
		<updated>2024-07-30T17:07:38Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=Multi-wavelength images, the simplest version=&lt;br /&gt;
&lt;br /&gt;
IRSA home page → Finder Chart → put in any target you want. Turn off catalog searching; just search for images. Look at results and compare images across wavelengths. Turn on 3-color images if you want. Why do things look like they do as a function of wavelength?&lt;br /&gt;
&lt;br /&gt;
=Multi-wavelength images, a more complex version=&lt;br /&gt;
Based on this idea:&lt;br /&gt;
https://vmcoolwiki.ipac.caltech.edu/index.php/Dustier,_Messier_Messier_Marathon&lt;br /&gt;
&lt;br /&gt;
'''Goal''' : explore differences between optical and IR properties of images of various types of objects&lt;br /&gt;
 &lt;br /&gt;
Go here: https://en.wikipedia.org/wiki/Messier_object&lt;br /&gt;
pick your favorite Messier object and/or pick one of each broad type (globular cluster, galaxy, star-forming region, planetary nebula, etc.).&lt;br /&gt;
&lt;br /&gt;
Go to IRSA Finder Chart (for small objects) or IRSA Viewer (for larger objects, or objects where you want to explore images beyond what is available in Finder Chart). You may want to just start in Finder Chart and see what it looks like, then move to IRSA Viewer once you learn a little about the object(s), like size, or how different it looks in visible vs. IR.&lt;br /&gt;
&lt;br /&gt;
Finder Chart has DSS, SDSS (both optical); 2MASS, WISE, Spitzer (cryo only), AKARI, IRAS (all IR).&lt;br /&gt;
IRSA Viewer has much more data, but of the stuff that covers a large enough fraction of the sky that any given Messier object might be in it, in addition to the stuff also in Finder Chart, try SINGS (for galaxies), GLIMPSE (for galactic plane, e.g., star-forming regions), ZTF/PTF, Herschel (several versions, incl HHLI, *HPDP), MSX (for galactic plane, e.g., star-forming regions).&lt;br /&gt;
 &lt;br /&gt;
'''Skill building''': play with the color stretch. Why does this matter? Why would you need to play with the stretch? What details does it bring out in any given image you’ve selected?&lt;br /&gt;
 &lt;br /&gt;
'''Science''': does any given object type look the same or different in optical vs. IR? Why? Does it look the same in NIR and FIR? Why? What are the images you have loaded telling you about the spatial resolution across the wavelengths of your target?&lt;br /&gt;
 &lt;br /&gt;
'''Extension''': make color images. In Finder Chart, it’s a single click that makes a 3-color image at the end of each row of images, and you don’t get to control which band is which color plane. In IRSA Viewer, you control what image is in each plane. Conventionally, red is the longest wavelength, but do what you wish. Note that IRSA Viewer will downsample images to the red plane, so if you choose an IRAS image to be the red plane, all the images will have the same enormous pixels. What is the 3-color image telling you about the science in your image? What is bright in which wavelength? What is the 3-color image you have created telling you about the spatial resolution across the wavelengths of your target? Can you create a 3-color image where the colors enhance the spatial resolution differences?&lt;br /&gt;
 &lt;br /&gt;
Possibly relevant IRSA videos (not all yet updated for new look):&lt;br /&gt;
* https://youtu.be/17-9pDRnv2o   (short) intro to IRSA Viewer (UPDATED)&lt;br /&gt;
* https://youtu.be/QEDT6NXzves (long) intro to IRSA Viewer (UPDATED)&lt;br /&gt;
* There are three more short updated videos, one on plotting (https://youtu.be/6PIpX_LqNu4), one on  tables (https://youtu.be/VPRQkdfTmOw) and one on images (https://youtu.be/MUBHf8h3_GY). &lt;br /&gt;
* https://youtu.be/InFiP7oAPKo  (brief) intro to Finder Chart&lt;br /&gt;
* https://youtu.be/aZ119L64T24 Overview of images in these kinds of tools&lt;br /&gt;
* https://youtu.be/cjIBbodbKkI  Dustier, Messier Messier Marathon&lt;br /&gt;
* https://youtu.be/cjaiGdQj3ls  3-color images in Finder Chart&lt;br /&gt;
* https://youtu.be/KTV5-lwxIwI  3-color images in IRSA Viewer&lt;br /&gt;
 &lt;br /&gt;
'''Optional extension to coding''': Visualizing images (and making 3-color images) is something that really does need to be done interactively, e.g., it’s not necessarily something that can be easily done in a lights-out “let me write code to do this” kind of way. Finder Chart does have a “batch mode” that can be used to make thumbnails or color images for hundreds of targets at once. You can also interact with IRSA’s holdings to pull FITS images (large or small) from our holdings, but then it’s on you to change the stretch and color table. At this point, I’d recommend using IRSA tools (or ds9) to work with the images interactively. In the longer term, you can use python to either just use the astropy tools to visualize the images, or invoke Firefly from your notebook.&lt;br /&gt;
 &lt;br /&gt;
Relevant links (I will be of little help):&lt;br /&gt;
* https://www.astropy.org/ astropy&lt;br /&gt;
* https://github.com/astropy/pyvo pyvo&lt;br /&gt;
* https://irsa.ipac.caltech.edu/docs/notebooks/ IRSA Notebooks which include examples of how to pull image cutouts and visualize them using astropy/pyvo tools&lt;br /&gt;
* https://github.com/Caltech-IPAC/firefly Firefly itself &lt;br /&gt;
* instructions as to how to invoke Firefly from a python notebook: https://caltech-ipac.github.io/firefly_client/&lt;br /&gt;
&lt;br /&gt;
=Quick, help me make a CMD and don’t make me think too hard!=&lt;br /&gt;
Make an Gaia absolute color-magnitude diagram of nearby stars, and find white dwarfs and giants among the nearby stars.&lt;br /&gt;
Go here:&lt;br /&gt;
https://caltech.box.com/s/uq8a92vyyq1m4bgyqo152lb2ppo88oqg &lt;br /&gt;
Quickest path to success: download gj_gaia_culledcolumns.tbl from that link. &lt;br /&gt;
Go here:&lt;br /&gt;
https://irsa.ipac.caltech.edu&lt;br /&gt;
Click on the big “IRSA Viewer” link.&lt;br /&gt;
Drag-and-drop that gj_gaia_culledcolumns.tbl into the IRSA Viewer link (or the “upload” tab).&lt;br /&gt;
After it loads, in the plot tab in the upper right, click on the gears to change what’s plotted.&lt;br /&gt;
Put “bp_rp” (which is B-R in “Gaia database” parlance) on the x-axis and “gmag” (or “phot_g_mean_mag”; both are the same, it’s just the latter is what the Gaia database calls the G magnitude measurement) on the y-axis; under “chart options”, click on ‘reverse’ for the y-axis to put the bright objects at the top. “Apply.” But! You have distances from Gaia, so you can do a better job: m-M=5*log(d)-5 with distance in parsecs and distance in parsecs = 1/parallax in arcseconds. Get the plot options back by clicking on the gears (if you don’t still have that window up), and for the y-axis, use gmag-(5*log10(1000/parallax) - 5) because the parallax as retrieved from Gaia is in millarcsec. Make sure that you reverse the y-axis to put the bright objects at the top. Where are the giants? Where are the white dwarfs? Pick any object in the plot that you think is a giant or a white dwarf and click on it. It’s highlighted in the table at the bottom. Go to the microscope in the top right of the table, and pick “Go to and search Simbad at row with 5” radius” to see what this object is. Were you right, is it what you thought it was?&lt;br /&gt;
&lt;br /&gt;
This catalog I had you use is a version of the “Gliese-Jareiss catalog of bright stars” which was at one point the most complete catalog of nearby stars, since ‘bright’ often also means ‘nearby’... it has since been surpassed by more complete, better catalogs of truly nearby stars, but this is sufficient for our purposes. For completeness, let me acknowledge that (a) the GJ catalog is of bright stars so some of the stars actually turn out to be rather far away (you can find them in the list!); (b) simply inverting the Gaia-provided parallax is ‘good enough’ for these purposes, but technically, you need to do lots more sophisticated things to get good distances. See 2021A&amp;amp;A...649A...6G for both a more recent/complete list of nearby stars AND a discussion of what that group did to get reliable distances from Gaia in this context. (Note the link under “Related materials” on the upper right of the ADS page that goes to all sorts of online data tables associated with this paper.)&lt;br /&gt;
&lt;br /&gt;
=Hm, actually, I’d rather you make me think harder to make a CMD…=&lt;br /&gt;
Based on this idea:&lt;br /&gt;
https://vmcoolwiki.ipac.caltech.edu/index.php/Gliese_Catalog_Explorations&lt;br /&gt;
'''Goal''' : make Gaia absolute CMD and find white dwarfs and giants among the nearby stars&lt;br /&gt;
 &lt;br /&gt;
Find the gj.tbl file here: https://caltech.box.com/s/jrz5cxv77pivbjdxkja78r570satebuh  and download it, renaming it if need be. This is the Gliese-Jareiss catalog of nearby stars. All of them should be pretty good coordinates; the positions come from https://ui.adsabs.harvard.edu/abs/2010PASP..122..885S/abstract&lt;br /&gt;
&lt;br /&gt;
''Aside for completeness: This catalog is a version of the “Gliese-Jareiss catalog of bright stars” which was at one point the most complete catalog of nearby stars, since ‘bright’ often also means ‘nearby’... it has since been surpassed by more complete, better catalogs of truly nearby stars, but this is sufficient for our purposes. For completeness, let me acknowledge that (a) the GJ catalog is of bright stars so some of the stars actually turn out to be rather far away (you can find them in the list!); (b) simply inverting the Gaia-provided parallax is ‘good enough’ for these purposes, but technically, you need to do lots more sophisticated things to get good distances. See 2021A&amp;amp;A...649A...6G for both a more recent/complete list of nearby stars AND a discussion of what that group did to get reliable distances from Gaia in this context. (Note the link under “Related materials” on the upper right of the ADS page that goes to all sorts of online data tables associated with this paper.)'' &lt;br /&gt;
&lt;br /&gt;
Go to IRSA Catalog Search Tool, pick Gaia DR3, do a multi-object search, 1-to-1 matching with a 2 arcsecond radius, and upload this list of sources. Save the catalog to your disk and upload it back to IRSA Viewer, or make the plot entirely within the IRSA Catalog tool. (I think the IRSA Viewer interface is moderately easier to use and more powerful.)&lt;br /&gt;
 &lt;br /&gt;
Make a color-magnitude diagram! You can put G (phot_g_mean_mag) on the y-axis (don’t forget to reverse the y axis to put bright objects at the top) and either the field bp_rp (which is B-R) or explicitly “phot_bp_mean_mag-phot_rp_mean_mag” on the x-axis. Look at that CMD. But wait! You can do better.&lt;br /&gt;
 &lt;br /&gt;
Because you have matched to Gaia data, you now have distances to these stars, so you can do more than just make a color-magnitude diagram; you can make a color-absolute magnitude diagram! However, parallax is tabulated, not distance. Note that the parallax is tabulated in units of milliarcsec (mas). Because the IRSA plotting can do simple mathematical manipulations including logarithms, you can use the information there to make an absolute color-magnitude diagram. '''STOP HERE AND DON’T READ FURTHER UNTIL YOU HAVE AT LEAST TRIED BY YOURSELF TO FIGURE OUT HOW TO DO THIS.''' &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
(Use phot_g_mean_mag- (5*log10(1000/parallax) - 5) for the y axis, and don’t forget to reverse the y axis to put bright objects at the top, and for the x axis, use either the field bp_rp or explicitly phot_bp_mean_mag-phot_rp_mean_mag.) Look at how much better your diagram looks when you take distances into account! The scatter goes way down on the main sequence, and the giants and white dwarfs differentiate themselves much more clearly.&lt;br /&gt;
 &lt;br /&gt;
'''Science 1''': Which stars are white dwarfs in your diagram? Which stars are giants in your diagram? Click on any source you think is a white dwarf in the plot. The star corresponding to the point in the plot is highlighted in the table. Once that row is highlighted, especially if your table is in IRSA Viewer, you can use the native Firefly tools to search Simbad. (Go to the binoculars and “Go to and Search Simbad at row” to spawn another window or tab at Simbad with the source in question loaded (or all the sources within 5 arc sec, sorted by distance). Were you right? Is the source you picked a white dwarf?&lt;br /&gt;
 &lt;br /&gt;
'''Extension 1''': Scroll down and find the references on the object. Find the most recent paper that mentions this object. Is it a paper about Gaia observations of white dwarfs? What data are the paper using? Learn something you didn’t know about this white dwarf.  Repeat this again for another white dwarf. Can you find something different about this white dwarf compared to the first white dwarf you found?&lt;br /&gt;
 &lt;br /&gt;
'''Science 2''': Repeat for any red giant.&lt;br /&gt;
 &lt;br /&gt;
'''Skill building:'''&lt;br /&gt;
Sort the catalog. Which is the closest/furthest star from us in the list?&lt;br /&gt;
Where does Alpha Cen end up in the CMD?&lt;br /&gt;
Filter the catalog. How many of the stars don’t have matches in Gaia? What happens to the fraction that is matched if you change the 1-to-1 matching radius to something larger or smaller? What are the risks of just setting the matching radius to 15 or 20 arcsec?&lt;br /&gt;
 &lt;br /&gt;
'''Challenge''' (MUCH bigger challenge than I thought it might be): How might you find main sequence binaries in this catalog?&lt;br /&gt;
 &lt;br /&gt;
Possibly relevant IRSA videos (not all yet updated for new look):&lt;br /&gt;
* https://youtu.be/17-9pDRnv2o   (short) intro to IRSA Viewer (UPDATED)&lt;br /&gt;
* https://youtu.be/QEDT6NXzves (long) intro to IRSA Viewer (UPDATED)&lt;br /&gt;
* There are three more short updated videos, one on plotting (https://youtu.be/6PIpX_LqNu4), one on  tables (https://youtu.be/VPRQkdfTmOw) and one on images (https://youtu.be/MUBHf8h3_GY). &lt;br /&gt;
* https://youtu.be/IGQB8a4YY4U making plots like this Gaia color-mag diagram&lt;br /&gt;
* https://youtu.be/vZOIJR3-StY catalog query: one-to-one matching&lt;br /&gt;
* https://youtu.be/CaNhqcdlVFU catalog query overview&lt;br /&gt;
* &lt;br /&gt;
 &lt;br /&gt;
'''Extension to coding''': I would try this in IRSA Viewer first so that you “get the idea” of what you’re trying to do. But then, once you do that, then you should be able to do this entirely within the routines you can find in astropy and pyvo. You can pull catalogs (https://pyvo.readthedocs.io/en/latest/dal/index.html#pyvo-tap), merge them by position (https://docs.astropy.org/en/stable/coordinates/matchsep.html#matching-catalogs) to create a master merged catalog, and make plots like the ones above. Again, though, I will be of minimal help. I just know generally that it’s possible within the astronomical python universe of code.&lt;br /&gt;
&lt;br /&gt;
=Do you have something with YSOs for me to do?=&lt;br /&gt;
'''Goal''': Compare color-mag and color-color diagrams for the young stars in Taurus and the Gliese-Jareiss catalog of nearby stars to see how different they are. (Hint: they are very different in many cases!)&lt;br /&gt;
 &lt;br /&gt;
Do the prior activity to get Gliese-Jareiss catalog matched to Gaia and loaded into one IRSA Catalog search window.  Go here https://caltech.box.com/s/jntjw6wo7zqvk9e55evwb4k8865s3sfd , find the taurus.tbl file and download it. This is a catalog from Taurus (a star-forming region), already in IRSA table file format. Start another browser window, but this time, Luhman (an author from an article in the literature, I think this one if my notes are correct: https://ui.adsabs.harvard.edu/abs/2019AJ....158...54E/abstract ) has already done the catalog matching for us, and this catalog has all the Gaia, 2MASS, Spitzer, and WISE matches included. Start IRSA Viewer, click on the catalogs tab, and upload this taurus.tbl file into IRSA Viewer. It should recognize it as a tbl file and interpret all the columns correctly.&lt;br /&gt;
 &lt;br /&gt;
Make a color- absolute magnitude diagram for Taurus. Now the columns are named differently (sorry), so you need bmag-rmag for the x-axis and, for the y-axis, gmag - (5*log10(1000/par) - 5).&lt;br /&gt;
 &lt;br /&gt;
'''Science''': why does this Taurus CMD look so different than the Gliese-Jareiss one? Why are there points below the main sequence in Taurus?&lt;br /&gt;
 &lt;br /&gt;
Go back to your Gliese-Jareiss browser window. Go back to the catalog search. This time, do a 2MASS point source catalog search, again a multi-object search (on the Gliese-Jareiss catalog), 1-to-1 matching, 3 arcsecond radius. Change the plot to be J-H on the y-axis (j_m-h_m) and H-K on the x-axis (h_m-k_m). Note that there are some clearly not-real data points that are large outliers in this plot when you first make it. In order to get rid of them, you will need to filter down the table to get rid of the limits. The best way to do this is to filter on j_snr&amp;gt;0, h_snr&amp;gt;0, and k_snr&amp;gt;0. Note that this immediately makes the plot much better behaved. Pin the plot so that you can keep it.&lt;br /&gt;
 &lt;br /&gt;
Go back to your Taurus browser window, and make the same JHK plot there. (jmag-hmag and hmag-kmag). In this catalog, there are no upper limits, so the plot is better behaved. Pin the plot so that you can see it next to the Gliese-Jareiss one. Does it look like the Gliese-Jareiss one? Why or why not? &lt;br /&gt;
 &lt;br /&gt;
Repeat this for Gliese-Jareiss and AllWISE, [W1] vs. [W1]-[W4] (w1mpro vs. w1mpro-w4mpro). And for Taurus (w1mag vs w1mag-w4mag). These plots look HUGELY different from each other (between catalogs, not just between wavelengths). Why?&lt;br /&gt;
 &lt;br /&gt;
'''Challenge''': What is the deal with the things brighter than [W1]~4 in Gliese-Jareiss? Why does this plot do that?&lt;br /&gt;
 &lt;br /&gt;
'''Challenge''' (HARD!): Why haven’t I asked you to do this for IRAC?&lt;br /&gt;
 &lt;br /&gt;
'''Challenge''': Try any other color-mag or color-color combination you want and compare Gliese-Jareiss with Taurus. Do the two look the same or different in your chosen parameter space?&lt;br /&gt;
 &lt;br /&gt;
'''Extension to coding''': If you were able to do idea #2 above, then you can certainly do this one. 😊  You need to merge catalogs to get the Gliese-Jareiss catalog, but I’ve given you the entire catalog you need for Taurus, so that part is easy; you’re pretty much just making plots at this point.&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Exercises_with_IRSA_tools&amp;diff=13925</id>
		<title>Exercises with IRSA tools</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Exercises_with_IRSA_tools&amp;diff=13925"/>
		<updated>2024-07-30T17:07:24Z</updated>

		<summary type="html">&lt;p&gt;Rebull: Created page with &amp;quot;=Multi-wavelength images, the simplest version=  IRSA home page → Finder Chart → put in any target you want. Turn off catalog searching; just search for images. Look at re...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=Multi-wavelength images, the simplest version=&lt;br /&gt;
&lt;br /&gt;
IRSA home page → Finder Chart → put in any target you want. Turn off catalog searching; just search for images. Look at results and compare images across wavelengths. Turn on 3-color images if you want. Why do things look like they do as a function of wavelength?&lt;br /&gt;
&lt;br /&gt;
=Multi-wavelength images, a more complex version=&lt;br /&gt;
Based on this idea:&lt;br /&gt;
https://vmcoolwiki.ipac.caltech.edu/index.php/Dustier,_Messier_Messier_Marathon&lt;br /&gt;
'''Goal''' : explore differences between optical and IR properties of images of various types of objects&lt;br /&gt;
 &lt;br /&gt;
Go here: https://en.wikipedia.org/wiki/Messier_object&lt;br /&gt;
pick your favorite Messier object and/or pick one of each broad type (globular cluster, galaxy, star-forming region, planetary nebula, etc.).&lt;br /&gt;
&lt;br /&gt;
Go to IRSA Finder Chart (for small objects) or IRSA Viewer (for larger objects, or objects where you want to explore images beyond what is available in Finder Chart). You may want to just start in Finder Chart and see what it looks like, then move to IRSA Viewer once you learn a little about the object(s), like size, or how different it looks in visible vs. IR.&lt;br /&gt;
&lt;br /&gt;
Finder Chart has DSS, SDSS (both optical); 2MASS, WISE, Spitzer (cryo only), AKARI, IRAS (all IR).&lt;br /&gt;
IRSA Viewer has much more data, but of the stuff that covers a large enough fraction of the sky that any given Messier object might be in it, in addition to the stuff also in Finder Chart, try SINGS (for galaxies), GLIMPSE (for galactic plane, e.g., star-forming regions), ZTF/PTF, Herschel (several versions, incl HHLI, *HPDP), MSX (for galactic plane, e.g., star-forming regions).&lt;br /&gt;
 &lt;br /&gt;
'''Skill building''': play with the color stretch. Why does this matter? Why would you need to play with the stretch? What details does it bring out in any given image you’ve selected?&lt;br /&gt;
 &lt;br /&gt;
'''Science''': does any given object type look the same or different in optical vs. IR? Why? Does it look the same in NIR and FIR? Why? What are the images you have loaded telling you about the spatial resolution across the wavelengths of your target?&lt;br /&gt;
 &lt;br /&gt;
'''Extension''': make color images. In Finder Chart, it’s a single click that makes a 3-color image at the end of each row of images, and you don’t get to control which band is which color plane. In IRSA Viewer, you control what image is in each plane. Conventionally, red is the longest wavelength, but do what you wish. Note that IRSA Viewer will downsample images to the red plane, so if you choose an IRAS image to be the red plane, all the images will have the same enormous pixels. What is the 3-color image telling you about the science in your image? What is bright in which wavelength? What is the 3-color image you have created telling you about the spatial resolution across the wavelengths of your target? Can you create a 3-color image where the colors enhance the spatial resolution differences?&lt;br /&gt;
 &lt;br /&gt;
Possibly relevant IRSA videos (not all yet updated for new look):&lt;br /&gt;
* https://youtu.be/17-9pDRnv2o   (short) intro to IRSA Viewer (UPDATED)&lt;br /&gt;
* https://youtu.be/QEDT6NXzves (long) intro to IRSA Viewer (UPDATED)&lt;br /&gt;
* There are three more short updated videos, one on plotting (https://youtu.be/6PIpX_LqNu4), one on  tables (https://youtu.be/VPRQkdfTmOw) and one on images (https://youtu.be/MUBHf8h3_GY). &lt;br /&gt;
* https://youtu.be/InFiP7oAPKo  (brief) intro to Finder Chart&lt;br /&gt;
* https://youtu.be/aZ119L64T24 Overview of images in these kinds of tools&lt;br /&gt;
* https://youtu.be/cjIBbodbKkI  Dustier, Messier Messier Marathon&lt;br /&gt;
* https://youtu.be/cjaiGdQj3ls  3-color images in Finder Chart&lt;br /&gt;
* https://youtu.be/KTV5-lwxIwI  3-color images in IRSA Viewer&lt;br /&gt;
 &lt;br /&gt;
'''Optional extension to coding''': Visualizing images (and making 3-color images) is something that really does need to be done interactively, e.g., it’s not necessarily something that can be easily done in a lights-out “let me write code to do this” kind of way. Finder Chart does have a “batch mode” that can be used to make thumbnails or color images for hundreds of targets at once. You can also interact with IRSA’s holdings to pull FITS images (large or small) from our holdings, but then it’s on you to change the stretch and color table. At this point, I’d recommend using IRSA tools (or ds9) to work with the images interactively. In the longer term, you can use python to either just use the astropy tools to visualize the images, or invoke Firefly from your notebook.&lt;br /&gt;
 &lt;br /&gt;
Relevant links (I will be of little help):&lt;br /&gt;
* https://www.astropy.org/ astropy&lt;br /&gt;
* https://github.com/astropy/pyvo pyvo&lt;br /&gt;
* https://irsa.ipac.caltech.edu/docs/notebooks/ IRSA Notebooks which include examples of how to pull image cutouts and visualize them using astropy/pyvo tools&lt;br /&gt;
* https://github.com/Caltech-IPAC/firefly Firefly itself &lt;br /&gt;
* instructions as to how to invoke Firefly from a python notebook: https://caltech-ipac.github.io/firefly_client/&lt;br /&gt;
&lt;br /&gt;
=Quick, help me make a CMD and don’t make me think too hard!=&lt;br /&gt;
Make an Gaia absolute color-magnitude diagram of nearby stars, and find white dwarfs and giants among the nearby stars.&lt;br /&gt;
Go here:&lt;br /&gt;
https://caltech.box.com/s/uq8a92vyyq1m4bgyqo152lb2ppo88oqg &lt;br /&gt;
Quickest path to success: download gj_gaia_culledcolumns.tbl from that link. &lt;br /&gt;
Go here:&lt;br /&gt;
https://irsa.ipac.caltech.edu&lt;br /&gt;
Click on the big “IRSA Viewer” link.&lt;br /&gt;
Drag-and-drop that gj_gaia_culledcolumns.tbl into the IRSA Viewer link (or the “upload” tab).&lt;br /&gt;
After it loads, in the plot tab in the upper right, click on the gears to change what’s plotted.&lt;br /&gt;
Put “bp_rp” (which is B-R in “Gaia database” parlance) on the x-axis and “gmag” (or “phot_g_mean_mag”; both are the same, it’s just the latter is what the Gaia database calls the G magnitude measurement) on the y-axis; under “chart options”, click on ‘reverse’ for the y-axis to put the bright objects at the top. “Apply.” But! You have distances from Gaia, so you can do a better job: m-M=5*log(d)-5 with distance in parsecs and distance in parsecs = 1/parallax in arcseconds. Get the plot options back by clicking on the gears (if you don’t still have that window up), and for the y-axis, use gmag-(5*log10(1000/parallax) - 5) because the parallax as retrieved from Gaia is in millarcsec. Make sure that you reverse the y-axis to put the bright objects at the top. Where are the giants? Where are the white dwarfs? Pick any object in the plot that you think is a giant or a white dwarf and click on it. It’s highlighted in the table at the bottom. Go to the microscope in the top right of the table, and pick “Go to and search Simbad at row with 5” radius” to see what this object is. Were you right, is it what you thought it was?&lt;br /&gt;
&lt;br /&gt;
This catalog I had you use is a version of the “Gliese-Jareiss catalog of bright stars” which was at one point the most complete catalog of nearby stars, since ‘bright’ often also means ‘nearby’... it has since been surpassed by more complete, better catalogs of truly nearby stars, but this is sufficient for our purposes. For completeness, let me acknowledge that (a) the GJ catalog is of bright stars so some of the stars actually turn out to be rather far away (you can find them in the list!); (b) simply inverting the Gaia-provided parallax is ‘good enough’ for these purposes, but technically, you need to do lots more sophisticated things to get good distances. See 2021A&amp;amp;A...649A...6G for both a more recent/complete list of nearby stars AND a discussion of what that group did to get reliable distances from Gaia in this context. (Note the link under “Related materials” on the upper right of the ADS page that goes to all sorts of online data tables associated with this paper.)&lt;br /&gt;
&lt;br /&gt;
=Hm, actually, I’d rather you make me think harder to make a CMD…=&lt;br /&gt;
Based on this idea:&lt;br /&gt;
https://vmcoolwiki.ipac.caltech.edu/index.php/Gliese_Catalog_Explorations&lt;br /&gt;
'''Goal''' : make Gaia absolute CMD and find white dwarfs and giants among the nearby stars&lt;br /&gt;
 &lt;br /&gt;
Find the gj.tbl file here: https://caltech.box.com/s/jrz5cxv77pivbjdxkja78r570satebuh  and download it, renaming it if need be. This is the Gliese-Jareiss catalog of nearby stars. All of them should be pretty good coordinates; the positions come from https://ui.adsabs.harvard.edu/abs/2010PASP..122..885S/abstract&lt;br /&gt;
&lt;br /&gt;
''Aside for completeness: This catalog is a version of the “Gliese-Jareiss catalog of bright stars” which was at one point the most complete catalog of nearby stars, since ‘bright’ often also means ‘nearby’... it has since been surpassed by more complete, better catalogs of truly nearby stars, but this is sufficient for our purposes. For completeness, let me acknowledge that (a) the GJ catalog is of bright stars so some of the stars actually turn out to be rather far away (you can find them in the list!); (b) simply inverting the Gaia-provided parallax is ‘good enough’ for these purposes, but technically, you need to do lots more sophisticated things to get good distances. See 2021A&amp;amp;A...649A...6G for both a more recent/complete list of nearby stars AND a discussion of what that group did to get reliable distances from Gaia in this context. (Note the link under “Related materials” on the upper right of the ADS page that goes to all sorts of online data tables associated with this paper.)'' &lt;br /&gt;
&lt;br /&gt;
Go to IRSA Catalog Search Tool, pick Gaia DR3, do a multi-object search, 1-to-1 matching with a 2 arcsecond radius, and upload this list of sources. Save the catalog to your disk and upload it back to IRSA Viewer, or make the plot entirely within the IRSA Catalog tool. (I think the IRSA Viewer interface is moderately easier to use and more powerful.)&lt;br /&gt;
 &lt;br /&gt;
Make a color-magnitude diagram! You can put G (phot_g_mean_mag) on the y-axis (don’t forget to reverse the y axis to put bright objects at the top) and either the field bp_rp (which is B-R) or explicitly “phot_bp_mean_mag-phot_rp_mean_mag” on the x-axis. Look at that CMD. But wait! You can do better.&lt;br /&gt;
 &lt;br /&gt;
Because you have matched to Gaia data, you now have distances to these stars, so you can do more than just make a color-magnitude diagram; you can make a color-absolute magnitude diagram! However, parallax is tabulated, not distance. Note that the parallax is tabulated in units of milliarcsec (mas). Because the IRSA plotting can do simple mathematical manipulations including logarithms, you can use the information there to make an absolute color-magnitude diagram. '''STOP HERE AND DON’T READ FURTHER UNTIL YOU HAVE AT LEAST TRIED BY YOURSELF TO FIGURE OUT HOW TO DO THIS.''' &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
 &lt;br /&gt;
(Use phot_g_mean_mag- (5*log10(1000/parallax) - 5) for the y axis, and don’t forget to reverse the y axis to put bright objects at the top, and for the x axis, use either the field bp_rp or explicitly phot_bp_mean_mag-phot_rp_mean_mag.) Look at how much better your diagram looks when you take distances into account! The scatter goes way down on the main sequence, and the giants and white dwarfs differentiate themselves much more clearly.&lt;br /&gt;
 &lt;br /&gt;
'''Science 1''': Which stars are white dwarfs in your diagram? Which stars are giants in your diagram? Click on any source you think is a white dwarf in the plot. The star corresponding to the point in the plot is highlighted in the table. Once that row is highlighted, especially if your table is in IRSA Viewer, you can use the native Firefly tools to search Simbad. (Go to the binoculars and “Go to and Search Simbad at row” to spawn another window or tab at Simbad with the source in question loaded (or all the sources within 5 arc sec, sorted by distance). Were you right? Is the source you picked a white dwarf?&lt;br /&gt;
 &lt;br /&gt;
'''Extension 1''': Scroll down and find the references on the object. Find the most recent paper that mentions this object. Is it a paper about Gaia observations of white dwarfs? What data are the paper using? Learn something you didn’t know about this white dwarf.  Repeat this again for another white dwarf. Can you find something different about this white dwarf compared to the first white dwarf you found?&lt;br /&gt;
 &lt;br /&gt;
'''Science 2''': Repeat for any red giant.&lt;br /&gt;
 &lt;br /&gt;
'''Skill building:'''&lt;br /&gt;
Sort the catalog. Which is the closest/furthest star from us in the list?&lt;br /&gt;
Where does Alpha Cen end up in the CMD?&lt;br /&gt;
Filter the catalog. How many of the stars don’t have matches in Gaia? What happens to the fraction that is matched if you change the 1-to-1 matching radius to something larger or smaller? What are the risks of just setting the matching radius to 15 or 20 arcsec?&lt;br /&gt;
 &lt;br /&gt;
'''Challenge''' (MUCH bigger challenge than I thought it might be): How might you find main sequence binaries in this catalog?&lt;br /&gt;
 &lt;br /&gt;
Possibly relevant IRSA videos (not all yet updated for new look):&lt;br /&gt;
* https://youtu.be/17-9pDRnv2o   (short) intro to IRSA Viewer (UPDATED)&lt;br /&gt;
* https://youtu.be/QEDT6NXzves (long) intro to IRSA Viewer (UPDATED)&lt;br /&gt;
* There are three more short updated videos, one on plotting (https://youtu.be/6PIpX_LqNu4), one on  tables (https://youtu.be/VPRQkdfTmOw) and one on images (https://youtu.be/MUBHf8h3_GY). &lt;br /&gt;
* https://youtu.be/IGQB8a4YY4U making plots like this Gaia color-mag diagram&lt;br /&gt;
* https://youtu.be/vZOIJR3-StY catalog query: one-to-one matching&lt;br /&gt;
* https://youtu.be/CaNhqcdlVFU catalog query overview&lt;br /&gt;
* &lt;br /&gt;
 &lt;br /&gt;
'''Extension to coding''': I would try this in IRSA Viewer first so that you “get the idea” of what you’re trying to do. But then, once you do that, then you should be able to do this entirely within the routines you can find in astropy and pyvo. You can pull catalogs (https://pyvo.readthedocs.io/en/latest/dal/index.html#pyvo-tap), merge them by position (https://docs.astropy.org/en/stable/coordinates/matchsep.html#matching-catalogs) to create a master merged catalog, and make plots like the ones above. Again, though, I will be of minimal help. I just know generally that it’s possible within the astronomical python universe of code.&lt;br /&gt;
&lt;br /&gt;
=Do you have something with YSOs for me to do?=&lt;br /&gt;
'''Goal''': Compare color-mag and color-color diagrams for the young stars in Taurus and the Gliese-Jareiss catalog of nearby stars to see how different they are. (Hint: they are very different in many cases!)&lt;br /&gt;
 &lt;br /&gt;
Do the prior activity to get Gliese-Jareiss catalog matched to Gaia and loaded into one IRSA Catalog search window.  Go here https://caltech.box.com/s/jntjw6wo7zqvk9e55evwb4k8865s3sfd , find the taurus.tbl file and download it. This is a catalog from Taurus (a star-forming region), already in IRSA table file format. Start another browser window, but this time, Luhman (an author from an article in the literature, I think this one if my notes are correct: https://ui.adsabs.harvard.edu/abs/2019AJ....158...54E/abstract ) has already done the catalog matching for us, and this catalog has all the Gaia, 2MASS, Spitzer, and WISE matches included. Start IRSA Viewer, click on the catalogs tab, and upload this taurus.tbl file into IRSA Viewer. It should recognize it as a tbl file and interpret all the columns correctly.&lt;br /&gt;
 &lt;br /&gt;
Make a color- absolute magnitude diagram for Taurus. Now the columns are named differently (sorry), so you need bmag-rmag for the x-axis and, for the y-axis, gmag - (5*log10(1000/par) - 5).&lt;br /&gt;
 &lt;br /&gt;
'''Science''': why does this Taurus CMD look so different than the Gliese-Jareiss one? Why are there points below the main sequence in Taurus?&lt;br /&gt;
 &lt;br /&gt;
Go back to your Gliese-Jareiss browser window. Go back to the catalog search. This time, do a 2MASS point source catalog search, again a multi-object search (on the Gliese-Jareiss catalog), 1-to-1 matching, 3 arcsecond radius. Change the plot to be J-H on the y-axis (j_m-h_m) and H-K on the x-axis (h_m-k_m). Note that there are some clearly not-real data points that are large outliers in this plot when you first make it. In order to get rid of them, you will need to filter down the table to get rid of the limits. The best way to do this is to filter on j_snr&amp;gt;0, h_snr&amp;gt;0, and k_snr&amp;gt;0. Note that this immediately makes the plot much better behaved. Pin the plot so that you can keep it.&lt;br /&gt;
 &lt;br /&gt;
Go back to your Taurus browser window, and make the same JHK plot there. (jmag-hmag and hmag-kmag). In this catalog, there are no upper limits, so the plot is better behaved. Pin the plot so that you can see it next to the Gliese-Jareiss one. Does it look like the Gliese-Jareiss one? Why or why not? &lt;br /&gt;
 &lt;br /&gt;
Repeat this for Gliese-Jareiss and AllWISE, [W1] vs. [W1]-[W4] (w1mpro vs. w1mpro-w4mpro). And for Taurus (w1mag vs w1mag-w4mag). These plots look HUGELY different from each other (between catalogs, not just between wavelengths). Why?&lt;br /&gt;
 &lt;br /&gt;
'''Challenge''': What is the deal with the things brighter than [W1]~4 in Gliese-Jareiss? Why does this plot do that?&lt;br /&gt;
 &lt;br /&gt;
'''Challenge''' (HARD!): Why haven’t I asked you to do this for IRAC?&lt;br /&gt;
 &lt;br /&gt;
'''Challenge''': Try any other color-mag or color-color combination you want and compare Gliese-Jareiss with Taurus. Do the two look the same or different in your chosen parameter space?&lt;br /&gt;
 &lt;br /&gt;
'''Extension to coding''': If you were able to do idea #2 above, then you can certainly do this one. 😊  You need to merge catalogs to get the Gliese-Jareiss catalog, but I’ve given you the entire catalog you need for Taurus, so that part is easy; you’re pretty much just making plots at this point.&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Coherent_ideas_of_what_to_do_with_these_pieces&amp;diff=13924</id>
		<title>Coherent ideas of what to do with these pieces</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Coherent_ideas_of_what_to_do_with_these_pieces&amp;diff=13924"/>
		<updated>2024-07-30T17:04:35Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
Think of these as &amp;quot;Lego kits&amp;quot; to build .. you may need to go seek out the appropriate &amp;quot;Lego bricks&amp;quot; from the rest of the wiki (listed on each page) to supplement your skills in order to build these Lego kits.&lt;br /&gt;
&lt;br /&gt;
=Simpler=&lt;br /&gt;
&lt;br /&gt;
[[Literature: Observation and Inference]]&lt;br /&gt;
&lt;br /&gt;
[[Resolution Skills]] includes links to resolution worksheets by Dr. Luisa Rebull (see [[Measuring resolutions]] and the Resolution worksheets linked near the bottom of the [[Resolution Skills]] page). The most recent worksheets include some of the more general information on resolution, as well as sources specific to regions we were studying in those years. Similar worksheets could be developed for any given region.&lt;br /&gt;
&lt;br /&gt;
[[Measuring distances on images]] - includes link to activity [[Finding the velocity of a high-proper-motion star in IC2118‎‎]] &lt;br /&gt;
&lt;br /&gt;
[[Getting your feet wet with images at IRSA]] - getting started playing with images&lt;br /&gt;
&lt;br /&gt;
[[Making 3-color images with IRSA tools (mostly)]] - includes links to online lab on making 3-color images.&lt;br /&gt;
&lt;br /&gt;
[[Dustier, Messier Messier Marathon]] - explore what different kinds of objects look like in the visible as compared to the IR.&lt;br /&gt;
&lt;br /&gt;
[[Gliese Catalog Explorations]] - things to do with nearby stars&lt;br /&gt;
&lt;br /&gt;
[[Getting your feet wet with catalogs and plots at IRSA]] - getting started playing with catalogs (tables) and plots&lt;br /&gt;
&lt;br /&gt;
[[Exercises with IRSA tools]] - pulled together tasks from several places, 2024 edition&lt;br /&gt;
&lt;br /&gt;
[[File:Lab_Activity-_IRSA_Finder_Chart.pdf]] - Lab from NITARP Alumnus Danny Mattern. Uses Finder Chart to explore images of bright stars, with explorations into resolution/pixel sizes, space-based observatories. Also see [[File:Optical_Images_and_Stellar_Spectra_Lab_Activity.pdf]] which explores those bright stars in different ways (also by Danny Mattern).&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;''things that need to be copied, updated, generated ab initio, etc.''&amp;lt;/font&amp;gt;&lt;br /&gt;
* 3-color image where your own image is one of hte planes (astrometry.net if need be)&lt;br /&gt;
* get list of cluster members. pull Gaia and 2mass and wise. make CMDs. get relative ages and disk fractions.&lt;br /&gt;
* Making CMDs/color-color diagrams and color selection - [[Taurus catalog]] has a catalog of legitimate young stars. Use this catalog to devise your own color selection approach to find young stars. Where do these objects fall with respect to either the Gutermuth or Koenig colors? Which ones would be retrieved or lost by these color selections? Would your method work if your catalog had a mixture of young stars and field stars?&lt;br /&gt;
* find rotation periods for set of K2 LCs - throw in periodic/not, noisy/not, sinusoidal/not, single/multi period, EBs&lt;br /&gt;
* take an apparent visual binary and use Finder Chart and Gaia to determine if the two are co-moving or not. If they are co-moving, use POSS, 2MASS, Gaia, even PanSTARRS to determine orbit. Don't forget to do a literature search to see if there is more information out there on the stars.&lt;br /&gt;
*&amp;quot;[[I need a sinusoidal light curve to play with]]&amp;quot;&lt;br /&gt;
&lt;br /&gt;
=Harder=&lt;br /&gt;
&lt;br /&gt;
* [[SSW2022 Activities]]&lt;br /&gt;
* [[Playing Around with Clusters]]&lt;br /&gt;
&lt;br /&gt;
* [https://drive.google.com/drive/folders/1uuyNLzeZxRqCoN_al1yvxqo-CL1nO7Gx?usp=sharing Images and Photometry with Image J] by Wendy Curtis, NITARP alum&lt;br /&gt;
* [https://drive.google.com/drive/folders/1JTeCs_wCAy53tWIKCqoyxTaicx1cmqCd?usp=sharing Distance to Cepheid in the Small Magellanic Cloud (SMC)] by Wendy Curtis, NITARP alum&lt;br /&gt;
* [https://drive.google.com/drive/folders/1EA9AFTcYP-XNaE0zec7FZxcC9-EGbkc-?usp=sharing Photometry of a Star Cluster -- Making an HR Diagram] by Wendy Curtis, NITARP alum&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
*IC2118 project&lt;br /&gt;
*CG4 project&lt;br /&gt;
*Li-rich giants project - extending to new samples, e.g., https://www.nature.com/articles/s41550-020-1139-7?utm_source=natastron_etoc&amp;amp;utm_medium=email&amp;amp;utm_campaign=toc_41550_4_11&amp;amp;utm_content=20201107&amp;amp;WT.ec_id=NATASTRON-202011&amp;amp;sap-outbound-id=8AD016DDFB5DD0066576339CC17DD068DCD50FEF&lt;br /&gt;
&lt;br /&gt;
* [http://burro.case.edu/Academics/Astr306/ClusterAGN/SDSSlab.html lab on Abell 2065 using SDSS] - can we adapt to use IRSA tools?&lt;br /&gt;
*[https://colab.research.google.com/drive/1WhQxvu80iw7yBbbeoiqOerrQo5eTe_VV?usp=sharing SDSS BOSS Plates Hubble's Law] - can we adapt?&lt;br /&gt;
&lt;br /&gt;
People want *anything* having to do with black holes. AGN light curves?&lt;br /&gt;
&lt;br /&gt;
= bookmarked from before=&lt;br /&gt;
&lt;br /&gt;
wise lesson plans?&lt;br /&gt;
&lt;br /&gt;
SOFIA lesson plans?&lt;br /&gt;
&lt;br /&gt;
Kepler lesson plans?&lt;br /&gt;
&lt;br /&gt;
oh, god, all the &amp;quot;working with&amp;quot; pages from all my summer teams up to a few years ago.&lt;br /&gt;
&lt;br /&gt;
[[Misc. Lesson Plans, Activities, and Useful Websites]]&lt;br /&gt;
Please feel free to contribute.  We do ask that you include your wiki signature (click on the username/date stamp button in the edit window) when submitting lesson plans and activities.  This will help users of the site in the event they have questions.  Also, when posting a website, please provide a brief description of the site along with the web link.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Future Research Project Ideas]] Here is a place to explore future research project ideas.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Now what?]] So you've finished your year of NITARP and are looking for what's next...&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
= Vandana's brainstormed list=&lt;br /&gt;
xx just sent me this page, which should have a syllabus: https://sites.google.com/a/siena.edu/observational-astronomy/&lt;br /&gt;
&lt;br /&gt;
Some ideas:&lt;br /&gt;
*She has a lab about CCDs. Might be interesting to show how IR data collection is different. &lt;br /&gt;
*How do observing strategies in the IR differ from observing strategies in the optical?&lt;br /&gt;
* Optical measurements of SFRs can miss a lot of the action.&lt;br /&gt;
* The resolution in the IR is different than the optical. What should the resolution of Spitzer be? Go get the images. Measure the PSF. Did you get what you expected? &amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;(this one met by above materials)&amp;lt;/font&amp;gt;&lt;br /&gt;
* How does a galaxy's morphology depend on resolution?&lt;br /&gt;
I wonder if JWST already has tutorials like these? I'm focusing on galaxies because I'm assuming the NITARP ones focus more on stars? I need to look!&lt;br /&gt;
In general, she's not that interested in teaching her students HOW TO GET DATA. That part should be incidental to the topics above, which she said would be the kind of thing she wants them to learn.&lt;br /&gt;
Her link also includes a link to courses at other schools: https://sites.google.com/a/siena.edu/observational-astronomy/lab-resources/courses-at-other-schools&lt;br /&gt;
* Showing that stars are blackbodies? Except when they're not!&lt;br /&gt;
* Something about coordinate systems?&lt;br /&gt;
* Making color images that actually tell you the colors of stars?&lt;br /&gt;
* Comparing constellations with actual astronomical images?&lt;br /&gt;
* Planning an observing run, making a finder chart.&lt;br /&gt;
This professor actually teaches the Aladin interface explicitly: https://web.njit.edu/~gary/322/&lt;br /&gt;
* Something about proper motions? https://web.njit.edu/~gary/322/assets/Lab_3.pdf&lt;br /&gt;
* Looking at ZTF light curves, https://web.njit.edu/~gary/322/assets/Lab_4.pdf&lt;br /&gt;
* Measuring the transit of an exoplanet https://www.physics.rutgers.edu/ugrad/344/Lab5.pdf&lt;br /&gt;
* Fundamentals of IR spectroscopy&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Standalone_Lessons&amp;diff=13916</id>
		<title>Standalone Lessons</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Standalone_Lessons&amp;diff=13916"/>
		<updated>2024-07-26T21:01:14Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;'''High School / Astronomy 101''' &lt;br /&gt;
&lt;br /&gt;
''If you have questions or need help, you can email binap@googlegroups.com and your question will go to the group of teachers that made these lessons. These teachers are:&lt;br /&gt;
* Rita Ciambra, Peoples Academy, Morristown, Vermont&lt;br /&gt;
* Olivia Kuper, North Greene High School, Greeneville, Tennessee&lt;br /&gt;
* Tom Rutherford, xxx&lt;br /&gt;
* Ace Schwarz, The Shipley School, Bryn Mawr, Pennsylvania&lt;br /&gt;
''&lt;br /&gt;
&lt;br /&gt;
''If you use any of these lessons please fill out [https://docs.google.com/forms/d/e/1FAIpQLSd6TifmguQa_MBlaFNs7H5WS_ZUGXM1ndJ6Xy2by3XHOplmwQ/viewform?usp=sf_link this Google Form]''&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[https://openstax.org/details/books/astronomy-2e OpenStax Astronomy Textbook] - This is a free Astronomy textbook for use as a reference.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1bN1q6bRCU5jsXcH8XT67qhMxhMylLRrach5LTXspoF4/edit?usp=sharing What is a Star and How does a Star Form?] - This is a short slideshow about star formation with an embedded activity.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1KZt2FEhfDGX_8CxCYjl8lOTeDaaUK2B3hb0y_TYX3Bk/edit?usp=sharing Waves and the Electromagnetic Spectrum] - This is a short slideshow with an embedded activity about waves and energy.  &lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/15q8oDQB7eqHK_C26qJGXLmEPvZo-HkOyIp23SLX0Dpc/edit?usp=sharing Filters] - This is a short slideshow with an embedded video and activity explaining filters.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1Oz0Kbp4ADiBcnirWciRyKWb5oJf549GDNc8W4pMtYiE/edit?usp=sharing What is a YSO?] - This is a short slideshow describing the different classes of young stellar objects (YSOs).&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1a75rUyGFdnE2GmNLye4zExWnJS2d_z3qzkjQYO9dx90/edit?usp=sharing What is a Color-Magnitude Diagram?] - A short set of notes describing a color-magnitude (Hertzsprung-Russell) diagram.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/19oB_-BEO9IWiDNf5ss9xAnCs9N6mLycak5Zc10CKIxw/edit?usp=sharing What is a Color-Color Diagram?] - This is a short explanation of what a color-color magnitude diagram is and what it can tell you.&lt;br /&gt;
&lt;br /&gt;
[https://learn.k20center.ou.edu/lesson/1327 Classifying Stars with Spectra] - K20 lab for HS utilizing SDSS data and stellar spectra to find patterns and classify stars - has data for 20 stars, ppts, and group comparison.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1F8SNgPjz9WbmdFJiP7CZrQA7adr9WANg-T9d7l7XIWg/edit?usp=sharing Where Does the Data Come From?] - This is a slideshow with examples of different satellites and surveys that collect data in multiple wavelengths.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1NZhZ1ze5Stdq_PVdCU3HL43yhqE3KTWKcLxs-hOPac4/edit?usp=sharing What are SEDs and How to Interpret Them] - This is a slideshow that explains blackbody curves and spectral energy distributions.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/document/d/1n2h70YkvJd3XPdZ0anjTxo7dbgIGBfZBdftU-jtdJBA/edit?usp=sharing Using IRSA to Make Three-Color Images] - This is an activity that teaches students what they will see when they search for an image on IRSA. It also walks students through how to make a three-color image in IRSA.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1j9LvVLreOlC8avqU9YR8wm_BJwRJBNlCoN5Zmbm3M0U/edit?usp=sharing IRSA - Uploading a Catalog and Image Inspection] - This is a slideshow explaining how to upload a catalog to IRSA. It also explains how to accomplish image inspections for young stellar objects (YSOs).&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Middle School'''&lt;br /&gt;
&lt;br /&gt;
[https://www.canva.com/design/DAGL-FdioWw/pgjMQAad1eVa5kHH-1-t3A/edit?utm_content=DAGL-FdioWw&amp;amp;utm_campaign=designshare&amp;amp;utm_medium=link2&amp;amp;utm_source=sharebutton What is a Star and How Does it Form?] - This is a short slideshow for middle school students.&lt;br /&gt;
&lt;br /&gt;
[https://drive.google.com/file/d/1J8HLt080F2Cet13Tv426ECIFEWPTNzNk/view?usp=sharing What is a Star and How Does it Form? Open-Ended Questions] - This is an activity where middle school students write about what they learned about star formation.&lt;br /&gt;
&lt;br /&gt;
[https://nightsky.jpl.nasa.gov/docs/SNUniverseWo.pdf A Universe Without Supernovae] - This is a simple activity incorporating star life cycle with events and ties elements made during supernovae to daily life.&lt;br /&gt;
&lt;br /&gt;
[https://www.canva.com/design/DAGL-uV3GIk/lFcf7Ma-A6sTy9Tya7IrPA/edit?utm_content=DAGL-uV3GIk&amp;amp;utm_campaign=designshare&amp;amp;utm_medium=link2&amp;amp;utm_source=sharebutton Waves and the Electromagnetic Spectrum] - This is a short slideshow for middle school students.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1dsds2TJRGa8b6Zbhs4m6rHuqjd_2VL-JN7_oEDdduPg/edit?usp=sharing Waves and the Electromagnetic Spectrum 3-2-1 Summary with Reading] - This allows students to review the EMS and connect wavelength, frequency, and energy.&lt;br /&gt;
&lt;br /&gt;
[https://www.canva.com/design/DAGL-7GC900/vl9sC6BbL1qHz06sUaJFUA/edit?utm_content=DAGL-7GC900&amp;amp;utm_campaign=designshare&amp;amp;utm_medium=link2&amp;amp;utm_source=sharebutton Filters] - This is a slideshow for middle school students with embedded lab explaining filters.&lt;br /&gt;
&lt;br /&gt;
[https://www.canva.com/design/DAGMD1GX11k/OGjH9jYqOGFI5NIi2yhDvw/edit?utm_content=DAGMD1GX11k&amp;amp;utm_campaign=designshare&amp;amp;utm_medium=link2&amp;amp;utm_source=sharebutton What is a YSO?] - This is a slideshow for middle school students describing the different classes of YSOs and H-alpha emission lines.&lt;br /&gt;
&lt;br /&gt;
[https://www.canva.com/design/DAGMEBnRck4/KWbJBC7la3c7G61_kqH9pA/edit?utm_content=DAGMEBnRck4&amp;amp;utm_campaign=designshare&amp;amp;utm_medium=link2&amp;amp;utm_source=sharebutton What is a Color-Magnitude Diagram?] - This is a short slideshow for middle school students that explains what H-R diagrams are and includes a hands-on activity at the end.&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Standalone_Lessons&amp;diff=13915</id>
		<title>Standalone Lessons</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Standalone_Lessons&amp;diff=13915"/>
		<updated>2024-07-26T20:57:53Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;'''High School / Astronomy 101''' &lt;br /&gt;
&lt;br /&gt;
''If you have questions or need help, you can email binap@googlegroups.com and your question will go to the group of teachers that made these lessons. These teachers are:&lt;br /&gt;
* Rita Ciambra, Peoples Academy, Morristown, Vermont&lt;br /&gt;
* Olivia Kuper, North Greene High School, Greeneville, Tennessee&lt;br /&gt;
* Tom Rutherford, &lt;br /&gt;
* Ace Schwarz, The Shipley School, Bryn Mawr, Pennsylvania&lt;br /&gt;
''&lt;br /&gt;
&lt;br /&gt;
''If you use any of these lessons please fill out [https://docs.google.com/forms/d/e/1FAIpQLSd6TifmguQa_MBlaFNs7H5WS_ZUGXM1ndJ6Xy2by3XHOplmwQ/viewform?usp=sf_link this Google Form]''&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[https://openstax.org/details/books/astronomy-2e OpenStax Astronomy Textbook] - This is a free Astronomy textbook for use as a reference.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1bN1q6bRCU5jsXcH8XT67qhMxhMylLRrach5LTXspoF4/edit?usp=sharing What is a Star and How does a Star Form?] - This is a short slideshow about star formation with an embedded activity.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1KZt2FEhfDGX_8CxCYjl8lOTeDaaUK2B3hb0y_TYX3Bk/edit?usp=sharing Waves and the Electromagnetic Spectrum] - This is a short slideshow with an embedded activity about waves and energy.  &lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/15q8oDQB7eqHK_C26qJGXLmEPvZo-HkOyIp23SLX0Dpc/edit?usp=sharing Filters] - This is a short slideshow with an embedded video and activity explaining filters.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1Oz0Kbp4ADiBcnirWciRyKWb5oJf549GDNc8W4pMtYiE/edit?usp=sharing What is a YSO?] - This is a short slideshow describing the different classes of young stellar objects (YSOs).&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1a75rUyGFdnE2GmNLye4zExWnJS2d_z3qzkjQYO9dx90/edit?usp=sharing What is a Color-Magnitude Diagram?] - A short set of notes describing a color-magnitude (Hertzsprung-Russell) diagram.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/19oB_-BEO9IWiDNf5ss9xAnCs9N6mLycak5Zc10CKIxw/edit?usp=sharing What is a Color-Color Diagram?] - This is a short explanation of what a color-color magnitude diagram is and what it can tell you.&lt;br /&gt;
&lt;br /&gt;
[https://learn.k20center.ou.edu/lesson/1327 Classifying Stars with Spectra] - K20 lab for HS utilizing SDSS data and stellar spectra to find patterns and classify stars - has data for 20 stars, ppts, and group comparison.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1F8SNgPjz9WbmdFJiP7CZrQA7adr9WANg-T9d7l7XIWg/edit?usp=sharing Where Does the Data Come From?] - This is a slideshow with examples of different satellites and surveys that collect data in multiple wavelengths.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1NZhZ1ze5Stdq_PVdCU3HL43yhqE3KTWKcLxs-hOPac4/edit?usp=sharing What are SEDs and How to Interpret Them] - This is a slideshow that explains blackbody curves and spectral energy distributions.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/document/d/1n2h70YkvJd3XPdZ0anjTxo7dbgIGBfZBdftU-jtdJBA/edit?usp=sharing Using IRSA to Make Three-Color Images] - This is an activity that teaches students what they will see when they search for an image on IRSA. It also walks students through how to make a three-color image in IRSA.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1j9LvVLreOlC8avqU9YR8wm_BJwRJBNlCoN5Zmbm3M0U/edit?usp=sharing IRSA - Uploading a Catalog and Image Inspection] - This is a slideshow explaining how to upload a catalog to IRSA. It also explains how to accomplish image inspections for young stellar objects (YSOs).&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
'''Middle School'''&lt;br /&gt;
&lt;br /&gt;
[https://www.canva.com/design/DAGL-FdioWw/pgjMQAad1eVa5kHH-1-t3A/edit?utm_content=DAGL-FdioWw&amp;amp;utm_campaign=designshare&amp;amp;utm_medium=link2&amp;amp;utm_source=sharebutton What is a Star and How Does it Form?] - This is a short slideshow for middle school students.&lt;br /&gt;
&lt;br /&gt;
[https://drive.google.com/file/d/1J8HLt080F2Cet13Tv426ECIFEWPTNzNk/view?usp=sharing What is a Star and How Does it Form? Open-Ended Questions] - This is an activity where middle school students write about what they learned about star formation.&lt;br /&gt;
&lt;br /&gt;
[https://nightsky.jpl.nasa.gov/docs/SNUniverseWo.pdf A Universe Without Supernovae] - This is a simple activity incorporating star life cycle with events and ties elements made during supernovae to daily life.&lt;br /&gt;
&lt;br /&gt;
[https://www.canva.com/design/DAGL-uV3GIk/lFcf7Ma-A6sTy9Tya7IrPA/edit?utm_content=DAGL-uV3GIk&amp;amp;utm_campaign=designshare&amp;amp;utm_medium=link2&amp;amp;utm_source=sharebutton Waves and the Electromagnetic Spectrum] - This is a short slideshow for middle school students.&lt;br /&gt;
&lt;br /&gt;
[https://docs.google.com/presentation/d/1dsds2TJRGa8b6Zbhs4m6rHuqjd_2VL-JN7_oEDdduPg/edit?usp=sharing Waves and the Electromagnetic Spectrum 3-2-1 Summary with Reading] - This allows students to review the EMS and connect wavelength, frequency, and energy.&lt;br /&gt;
&lt;br /&gt;
[https://www.canva.com/design/DAGL-7GC900/vl9sC6BbL1qHz06sUaJFUA/edit?utm_content=DAGL-7GC900&amp;amp;utm_campaign=designshare&amp;amp;utm_medium=link2&amp;amp;utm_source=sharebutton Filters] - This is a slideshow for middle school students with embedded lab explaining filters.&lt;br /&gt;
&lt;br /&gt;
[https://www.canva.com/design/DAGMD1GX11k/OGjH9jYqOGFI5NIi2yhDvw/edit?utm_content=DAGMD1GX11k&amp;amp;utm_campaign=designshare&amp;amp;utm_medium=link2&amp;amp;utm_source=sharebutton What is a YSO?] - This is a slideshow for middle school students describing the different classes of YSOs and H-alpha emission lines.&lt;br /&gt;
&lt;br /&gt;
[https://www.canva.com/design/DAGMEBnRck4/KWbJBC7la3c7G61_kqH9pA/edit?utm_content=DAGMEBnRck4&amp;amp;utm_campaign=designshare&amp;amp;utm_medium=link2&amp;amp;utm_source=sharebutton What is a Color-Magnitude Diagram?] - This is a short slideshow for middle school students that explains what H-R diagrams are and includes a hands-on activity at the end.&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Standalone_Lessons&amp;diff=13898</id>
		<title>Standalone Lessons</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Standalone_Lessons&amp;diff=13898"/>
		<updated>2024-07-25T22:56:43Z</updated>

		<summary type="html">&lt;p&gt;Rebull: Created page with &amp;quot;placeholder text&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;placeholder text&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Entry-Level_Research_Projects&amp;diff=13897</id>
		<title>Entry-Level Research Projects</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Entry-Level_Research_Projects&amp;diff=13897"/>
		<updated>2024-07-25T22:56:33Z</updated>

		<summary type="html">&lt;p&gt;Rebull: Created page with &amp;quot;placeholder text&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;placeholder text&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=MediaWiki:Sidebar&amp;diff=13896</id>
		<title>MediaWiki:Sidebar</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=MediaWiki:Sidebar&amp;diff=13896"/>
		<updated>2024-07-25T22:56:09Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;* navigation&lt;br /&gt;
** mainpage|mainpage&lt;br /&gt;
** Background/general_reference|Background/reference&lt;br /&gt;
** Skill_development|Skill development&lt;br /&gt;
** Science_background|Science background&lt;br /&gt;
** Coherent_ideas_of_what_to_do_with_these_pieces|Coherent ideas&lt;br /&gt;
** Standalone_Lessons|Standalone Lessons&lt;br /&gt;
** Entry-Level_Research_Projects|Entry-Level Research Projects&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
** recentchanges-url|recentchanges&lt;br /&gt;
** randompage-url|randompage&lt;br /&gt;
** helppage|help&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=SSW2022_Activities&amp;diff=13895</id>
		<title>SSW2022 Activities</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=SSW2022_Activities&amp;diff=13895"/>
		<updated>2024-06-04T02:08:48Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Introduction ==&lt;br /&gt;
&lt;br /&gt;
The [https://nexsci.caltech.edu/conferences/ Sagan Summer Workshop] (SSW) is held annually and is meant to be a week-long summer &amp;quot;school&amp;quot; for early career astronomers (advanced undergraduates and graduate students/postdocs. The conferences traditionally have a substantial hands-on component. Each year, they pick a different theme. In 2022, the theme was [https://nexsci.caltech.edu/workshop/2022/agenda.shtml Exoplanet Science in the Gaia Era]. Several of the hands-on components from earlier in the week can be done using IRSA tools, so this is what we have reproduced here. See the SSW website for recordings of the talks that led into these hands-on sessions, as well as [https://nexsci.caltech.edu/workshop/2022/handson.shtml detailed instructions] as to how to do these exercises using the Google Colab Notebooks provided by the workshop team. &lt;br /&gt;
&lt;br /&gt;
== Monday Afternoon, Part 1==&lt;br /&gt;
&lt;br /&gt;
# ''Query the Gaia Catalog of Nearby Stars (GCNS) for all stars within 20 pc.'' - as of the time I am writing this, the GCNS isn't available at IRSA, so you have to either go directly to the [https://gea.esac.esa.int/archive/ ESA Gaia Archive] to get it, or get it from [https://vizier.cds.unistra.fr/viz-bin/VizieR VizieR], like at [https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/649/A6 this ftp site]. The GCNS is '''large''', but you can get it in csv format, which IRSA tools understand. To make this process easier, though, [https://caltech.box.com/s/72dlt4l8547eb3g6nbn0kyh70hx5jeln here] is a truncated csv version of this catalog. &lt;br /&gt;
##Download and uncompress that copy, or download your own copy from VizieR.&lt;br /&gt;
##Load that csv catalog into IRSA Viewer by clicking on the catalogs tab, then &amp;quot;Load Catalog File.&amp;quot;&lt;br /&gt;
##Filter down the catalog to only have the stars within 20 pc -- turn on filters and restrict the file to have only Plx&amp;gt;50. You should be left with ~2600 stars.&lt;br /&gt;
# ''Make an observed Gaia color-magnitude diagram for this sample.''&lt;br /&gt;
##Use IRSA Viewer to make a plot of G vs. B-R -- the columns in the zipped csv file above are x=BPmag-RPmag and y=Gmag. Don't forget to reverse the y axis! Pin the plot so that you can compare it to other plots.&lt;br /&gt;
# ''Make an absolute Gaia color-magnitude diagram for this sample.'' - that is, correct for distance because you have the parallax!&lt;br /&gt;
##Use IRSA Viewer to make a new plot of absolute G vs. B-R. Hint: Gmag- (5*log10(1000/Plx) - 5). &lt;br /&gt;
##Pin it so that you can compare the first plot with this one. &lt;br /&gt;
##What are some things that are the same and different between these two plots? Why?&lt;br /&gt;
##What happens to the outliers if you plot absolute G vs. G-R instead of G vs. B-R? (Why?)&lt;br /&gt;
# ''Make an absolute SDSS color-magnitude diagram for this sample.'' - the SDSS photometry is included in the GCNS catalog, and you still have the parallax, of course.&lt;br /&gt;
##The SDSS filters are the columns &amp;quot;gmag&amp;quot;, &amp;quot;rmag&amp;quot;, &amp;quot;imag&amp;quot;, and &amp;quot;zmag&amp;quot;. Try g vs. g-i. You may have to cope with some outliers either by filtering the catalog or changing the limits of the plot.&lt;br /&gt;
##Why does the SDSS CMD look like it does? Why is it worse or better than the Gaia CMD?&lt;br /&gt;
&lt;br /&gt;
== Monday Afternoon, Part 2==&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! name in Google Colab !! name in Exoplanet UI &lt;br /&gt;
|-&lt;br /&gt;
| pl_name || Names / Planet Name &lt;br /&gt;
|-&lt;br /&gt;
| hostname || Names / Host Name &lt;br /&gt;
|-&lt;br /&gt;
| ra || System Data / Position / RA (pick the one in degrees, not sexagesimal) &lt;br /&gt;
|-&lt;br /&gt;
| dec || System Data / Position / Dec (pick the one in degrees, not sexagesimal) &lt;br /&gt;
|-&lt;br /&gt;
| sy_gaiamag || System Data / Photometry / Gaia Magnitude &lt;br /&gt;
|-&lt;br /&gt;
| st_teff || Stellar data / Stellar Effective Temperature &lt;br /&gt;
|-&lt;br /&gt;
| st_logg || Stellar data / Stellar Surface Gravity &lt;br /&gt;
|-&lt;br /&gt;
| st_met || Stellar data / Stellar Metallicity (in dex) &lt;br /&gt;
|-&lt;br /&gt;
| st_lum || Stellar data / Stellar Luminosity &lt;br /&gt;
|-&lt;br /&gt;
| st_rad || Stellar data / Stellar Radius &lt;br /&gt;
|-&lt;br /&gt;
| st_age || Stellar data / Stellar Age &lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Some critical columns in Gaia DR3 !! definition &lt;br /&gt;
|-&lt;br /&gt;
| phot_g_mean_mag || G mag &lt;br /&gt;
|-&lt;br /&gt;
| phot_bp_mean_mag || Bp mag &lt;br /&gt;
|-&lt;br /&gt;
| phot_rp_mean_mag || Rp mag &lt;br /&gt;
|-&lt;br /&gt;
| parallax || Parallax in mas &lt;br /&gt;
|-&lt;br /&gt;
|parallax_over_error || parallax divided by the error in parallax, e.g., a measure of signal-to-noise&lt;br /&gt;
|-&lt;br /&gt;
|distance_gspphot || Distance in pc&lt;br /&gt;
|-&lt;br /&gt;
| ebpminrp_gspphot || E(B-R), e.g., reddening in Bp-Rp&lt;br /&gt;
|-&lt;br /&gt;
| ag_gspphot || A_G, e.g., reddening in G&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
# ''Query the Exoplanet Archive''&lt;br /&gt;
##Go to the [https://exoplanetarchive.ipac.caltech.edu/ Exoplanet Archive], and find the [https://exoplanetarchive.ipac.caltech.edu/cgi-bin/TblView/nph-tblView?app=ExoTbls&amp;amp;config=PSCompPars Planetary Systems Composite Data] Table.&lt;br /&gt;
##Go up the the upper left of the screen and click on &amp;quot;select columns.&amp;quot; &amp;quot;Clear all&amp;quot; then select the columns corresponding to the columns in the SSW example -- see table above. Then click &amp;quot;update&amp;quot; and close the pop-up window. &lt;br /&gt;
##&amp;quot;Download table&amp;quot; to, well, download the table. Save it as an IPAC table file (&amp;quot;IPAC format&amp;quot;) to make things easier for the next step.&lt;br /&gt;
# ''Crossmatch the Exoplanet Archive and Gaia DR3''&lt;br /&gt;
##Load the [https://irsa.ipac.caltech.edu/applications/Gator/ IRSA Catalog Search Tool]&lt;br /&gt;
##Select Gaia.&lt;br /&gt;
##Select Gaia Source Catalogue (DR3).&lt;br /&gt;
##Select &amp;quot;Multi-Object Search.&amp;quot;&lt;br /&gt;
##Click on &amp;quot;Browse&amp;quot; to upload the IPAC Table file you just downloaded from the Exoplanet Archive.&lt;br /&gt;
##To match what they are doing in the Colab notebook most closely, leave &amp;quot;one-to-one matching&amp;quot; turned off, and give it a search radius of 1 arcsec.&lt;br /&gt;
#The Colab notebook at this point asks, ''We now have a table with all the Gaia DR3 data for the host stars from the Exoplanet Archive. Not all host stars have a match in Gaia DR3 and how do we known the matches found are correct? Are all host stars uniquely matched to a Gaia source? Come up with a basic check of the cross-matches. Think about plots you could make to spot any matches that might be dubious. Identify exoplanets matched to more than one Gaia DR3 source, and/or bad matches. Find a way to filter these out.''&lt;br /&gt;
##For us, we can bypass much of this, but let's try to explore the spirit of these questions. One of the columns that is returned by the Catalog Search Tool is a column called dist_x which is the distance between the requested position and the match. You can explore the distribution of this in any of a number of ways, but the way that gives the easiest-to-interpret results may seem a little klunky. &lt;br /&gt;
###Click on the diskette icon on the data table in the Catalog Search Tool to save the cross matched results as an IPAC table file.&lt;br /&gt;
###Start a new session of IRSA Viewer and upload that IPAC table file.&lt;br /&gt;
###Once it loads, click on the gears in the plot pane. &lt;br /&gt;
###Make a histogram of the dist_x column: Add new plot, pick &amp;quot;histogram&amp;quot;, enter dist_x, enter your desired parameters (or leave the defaults) and apply. &lt;br /&gt;
###Where do most of the matches fall? Does it make sense to keep matches up to 1 arcsec away, or is a smaller radius more appropriate?&lt;br /&gt;
##Let's go back a step, because we can bypass some of this. Return to your Catalog Search Tool matching, and this time, turn on &amp;quot;one-to-one matching&amp;quot; by clicking on the &amp;quot;One-to-one Match&amp;quot; checkbox, and give it a search radius of 1 arcsec. What this does is give you one line of output for each line of input, with the closest match from Gaia DR3 within the specified search radius. If there is no match, there will be a row of nulls for that input line. If there is more than one match within the radius, it will take the closest one.&lt;br /&gt;
###Click on the diskette icon on the data table in the Catalog Search Tool to save the cross matched results as an IPAC table file.&lt;br /&gt;
###Return to your prior session of IRSA Viewer and upload that new IPAC table file.&lt;br /&gt;
###Once it loads, click on the gears in the plot pane. &lt;br /&gt;
###Make a histogram of the dist_x column: Add new plot, pick &amp;quot;histogram&amp;quot;, enter dist_x, enter your desired parameters (or leave the defaults) and apply. &lt;br /&gt;
###Now, you know for a fact that all the duplicate hits are gone. Are the larger matches you noticed before gone now too? &lt;br /&gt;
###What happens if you expand the search radius to, say, 3 arcsec? Are those matches likely legitimate matches?&lt;br /&gt;
##We still need to do a sanity check to see if the matches between what the Exoplanet Archive thinks is the star and what we think is the star is the right match. We pulled the Gaia (DR2) magnitude from the Exoplanet Archive, and we pulled the Gaia DR3 magnitude now.  The columns in our uploaded catalog have their original names plus &amp;quot;_01&amp;quot; appended to them. The columns retrieved from the matched catalog, in this case Gaia DR3, have their original names. In the version of the catalog we saved and uploaded to IRSA Viewer, the Gaia DR2 mag is therefore &amp;quot;sy_gaiamag_01&amp;quot;, and the Gaia DR3 magnitude is therefore &amp;quot;phot_g_mean_mag&amp;quot;. Make a plot that compares sy_gaiamag_01 and phot_g_mean_mag.&lt;br /&gt;
##What plot did you use? You may be tempted to try sy_gaiamag_01 vs. phot_g_mean_mag but can you find a better one? &lt;br /&gt;
##You probably have a situation where there are so many points that you only have a heatmap (binned greyscale) plot. How can you filter down the catalog so that you can identify individual objects that may be problematic? (Hint: maybe something somewhere like abs(&amp;quot;phot_g_mean_mag&amp;quot;-&amp;quot;sy_gaiamag_01&amp;quot;) &amp;gt; 0.1?) Do you notice anything in common about these stars?&lt;br /&gt;
##I note that we do still have the problem where individual planets are listed once but stars are listed more than once (e.g., Kepler 108 appears once for Kepler 108b and once for 108c), but these points should be plotted identically on top of each other in the plots; they just contribute to source counts. If you want to get rid of them, to first order, keep only those that have a &amp;quot;b&amp;quot; in the planet name, e.g., impose a filter &amp;quot;like '%b%'&amp;quot; on pl_name_01. This should omit all the planets that are 'c' or 'd' or 'e' ... you get the idea. It will keep any that have &amp;quot;b&amp;quot; in the root of their name, however. (This actually helps because it weeds down the catalog enough to see individual points!)&lt;br /&gt;
# ''Plot the Gaia absolute CMD diagram for the exoplanet host stars, corrected for the effects of extinction. Make two plots, one using the parallaxes to calculate G and the other using Gaia DR3 distances. What might be the cause of the differences you see? Create a plot to investigate this.''&lt;br /&gt;
##For this, we need to dig into the column definitions of the Gaia DR3 catalog -- see table above. You are going to want to plot on the x-axis B-R-E(B-R) to correct for the reddening, and on the y-axis, G-5logd-5-Ag. For the first request, you can invert the parallax to get the distance (watch your units), and for the second request, use the distance provided in the catalog. Pin the plots to compare them side-by-side.&lt;br /&gt;
##There are definitely points that are different. Click on points in either plot to find the corresponding rows in the catalog. Do you notice anything about the most discrepant points? The words and the code in the Colab notebook solutions do different things, but one could explore filtering to omit negative parallaxes or those with parallax_over_error &amp;lt; 5.&lt;br /&gt;
# ''Astrophysical Parameters from Gaia DR3'' &lt;br /&gt;
##These are not yet available at IRSA, so we are stopping here for the moment.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
(e.g., these are the &amp;quot;Lego bricks&amp;quot; to go investigate in order to build this &amp;quot;Lego kit.&amp;quot;)&lt;br /&gt;
*[[Filters]]&lt;br /&gt;
*[[Photometry (finding it)]]&lt;br /&gt;
*[[Gliese Catalog Explorations]] - things to do with nearby stars&lt;br /&gt;
*[[Getting your feet wet with catalogs and plots at IRSA]] - getting started playing with catalogs (tables) and plots&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Playing_Around_with_Clusters&amp;diff=13894</id>
		<title>Playing Around with Clusters</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Playing_Around_with_Clusters&amp;diff=13894"/>
		<updated>2024-06-04T02:07:19Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Preamble=&lt;br /&gt;
There are a lot of astronomy exercises that can be done once you have a list of cluster members. Now that there are plenty of Gaia data, there are lots of lists of stars that people think are members of various clusters. Some of the prep work that has to be done is extracting the data and converting it into a state that is straightforward for your students to use. Along with a framework of things to do with the clusters, I've done the prep work here for three clusters, along with an explanation of what I've done &amp;quot;behind the scenes&amp;quot; to get these data to this point. I've provided the data from the papers I've used, and then pointers to even more data that you could use to expand this project. Students, if you're reading this, this page could be the seeds for a really impressive science fair project. &lt;br /&gt;
&lt;br /&gt;
First, I just have the skeleton for the lab exercise, then I have more of the infrastructure stuff below that.&lt;br /&gt;
&lt;br /&gt;
=Introduction=&lt;br /&gt;
&lt;br /&gt;
Astronomers use the 3-D motion of stars in the sky to identify stars that are moving as a group, e.g., clusters, also &amp;quot;moving groups&amp;quot;, &amp;quot;open clusters&amp;quot;, myriad other names for stars that apparently were born together and are still associated with each other. Now that there is plenty of Gaia data to be had, the race is on to use all that data to identify members of known clusters and even identify new clusters. Many, many papers have done this, and you may notice that not all the papers agree with each other! We're going to use the published tables from one group's work and take those lists of members as &amp;quot;truth&amp;quot;. &lt;br /&gt;
&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
We are going to load in the Gaia photometry for three clusters, the Pleiades, Praesepe, and NGC 6774. We are going to create optical color-magnitude diagrams for these three clusters and place them in relative age order. As an extension, we will match these stars to 2MASS and WISE data and create IR CMDs to see how they are different than optical CMDs.&lt;br /&gt;
&lt;br /&gt;
=Finding the relative ages=&lt;br /&gt;
&lt;br /&gt;
[https://caltech.box.com/s/pkfawopfzinmmmjfpjc7msquhnvcvxfk This tarfile] has several files. It has pleiades.tbl, praesepe.tbl, and ngc6774.tbl. Load them into IRSA Viewer as catalogs. IRSA Viewer will recognize the positions and plot them on the sky on an image on the left, but also plot positions on the sky on the right. Change what is plotted to be an optical color-magnitude diagram, G vs. B-R, for each catalog (gmag vs. bpmag-rpmag). No need to compensate for distance if you don't want to. (Why do you think that is? What happens if you do compensate for distance?) Pin each CMD so that you can see all three CMDs at once. You may wish to make sure the titles are marked so that you know which diagram is which. &lt;br /&gt;
&lt;br /&gt;
Which cluster is the oldest? Which is the youngest? How do you know?&lt;br /&gt;
&lt;br /&gt;
'''Challenge''': find any white dwarfs, giants, or binary stars in any of these clusters. Verify that you're right by finding the star in SIMBAD.&lt;br /&gt;
&lt;br /&gt;
=Moving into the IR=&lt;br /&gt;
&lt;br /&gt;
Now, we need to go and get the 2MASS data for these stars. For each of these three clusters, go to the Catalog Search Tool, and use multi-object searching and one-to-one matching to find 2MASS point source catalog matches. Save the tables to disk so that you can get the catalogs back into the same IRSA Viewer session as before. &lt;br /&gt;
&lt;br /&gt;
The Catalog Search Tool takes all the same columns you had, appends &amp;quot;_01&amp;quot; to the column name, and then appends the new columns from the catalog you asked it to match, in this case 2mass. So now you have catalogs that have the information from Gaia and now 2MASS as well. Make new CMDs, this time near-IR CMDs, say, J vs. H-K (j_m vs. h_m-k_m). &lt;br /&gt;
&lt;br /&gt;
Are these plots different? How? (hint: Look at the range of the x axis.) Why are they so different? &lt;br /&gt;
&lt;br /&gt;
'''Challenge''': Make optical and NIR CMDs from the same catalog such that once you click on a giant or a white dwarf in a cluster in an optical CMD then it is also highlighted in the corresponding NIR CMD. Where are they in both plots -- are they where you expect?  &lt;br /&gt;
&lt;br /&gt;
'''Challenge''': Repeat this using WISE (you will have to use the original tbl files, not the ones output from the 2MASS merge). Make a plot of [W1] vs. [W1]-[W3] (w1mpro vs. w1mpro-w3mpro). You will most likely need to restrict it to only have the high signal-to-noise sources, e.g., filter down so that at least w3snr &amp;gt; 10). Why does this look like it does? Where are the giants/white dwarfs -- are they where you expect?  Why are there outliers in this plot? What are the outliers? (Hints: worry about errors on the photometry? source confusion? Use Finder Chart? What are the ages of the clusters here - should these stars have IR excesses?)&lt;br /&gt;
&lt;br /&gt;
=Details and expansion options=&lt;br /&gt;
&lt;br /&gt;
If you want to read more about what these particular authors did to get these members, the papers are these: &lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2021ApJ...912..162P/abstract&lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2022ApJ...931..156P/abstract&lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2021RNAAS...5..173L/abstract - just the Pleiades - note that RNAAS papers are not refereed.&lt;br /&gt;
&lt;br /&gt;
The clusters that these papers consider are listed in one of the early tables in both of the first two papers. The data from each of the stars behind these papers are electronic tables and can be downloaded from the journals themselves (everything is open access) or from VizieR. These data files are in plain text format, and you can download them, but they are not yet in a format that IRSA tools can easily recognize. The way that I get them into a format that can be recognized is to import them into Excel, make sure I have the columns parsed properly (you will need to explicitly cast the Gaia number as a string; otherwise it thinks it's a large integer and truncates the value), and save it as a csv file. The columns with RA and Dec should have column headings &amp;quot;ra&amp;quot; and &amp;quot;dec&amp;quot;, just like that, with no capitalization. Then, load the csv file into IRSA Viewer, and it will properly interpret the data tables. For this example, I then used IRSA Viewer to filter down the table based on cluster name to be just Praesepe, then saved that filtered table, and then just NGC 6774, then saved that filtered table accordingly.&lt;br /&gt;
&lt;br /&gt;
If you don't want to use the Pleiades in this project, you can ignore the last paper. I included it because the Pleiades is a benchmark cluster for SO MANY things. The RNAAS paper above has provided the data table as a FITS table, which IRSA Viewer can read directly, but the columns are totally different than what the other papers have. What I did was load the fits table into IRSA Viewer, use the table options (the gears) to turn off and on various columns, then save the table as an IPAC table file as a much slimmed down table containing just the columns I wanted. Then I edited the tbl file to have the same column headings as the other two saved tables such that, e.g., gmag is the same in all three tables for ease of plotting.&lt;br /&gt;
&lt;br /&gt;
Expansion options:&lt;br /&gt;
* Use different/additional clusters. The papers have lots and lots of clusters, and the tables include the ages for the clusters. Pick clusters of different ages, create catalogs via the same methods I used above, and see if your students can put them in the correct relative age order based on the Gaia CMDs. &lt;br /&gt;
* Use different clusters that are young enough that some will have IR excesses. This will make the expansion to WISE data more interesting, but you still need to worry about measurement error and source confusion.&lt;br /&gt;
* Explore ramifications of taking these member lists as opposed to someone else's member lists. Lists of just some of these papers below.&lt;br /&gt;
* For each cluster, explore the proper motions and/or true space motions. This is how the members were selected, so all the cluster members ought to have similar motions.&lt;br /&gt;
* Explore binaries in these clusters. Pull light curves from ZTF or TESS or ASAS-SN to see if they are eclipsing binaries.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Places with cluster membership (far from exhaustive list; get into ADS to find more [[Literature searching]])&lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2018A%26A...616A..10G/abstract&lt;br /&gt;
*And extract the source list (cluster, ra, dec) for each star from the relevant tables&lt;br /&gt;
*http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/616/A10#/browse &lt;br /&gt;
*Separating them out into one source list per cluster, in the right IPAC table format. Then bounce that ra, dec against IRSA’s copy of the Gaia catalogs to get G, B, and R, then use that to make the CMDs. &lt;br /&gt;
*http://cdsarc.u-strasbg.fr/ftp/J/A+A/616/A10/ReadMe&lt;br /&gt;
*https://academic.oup.com/mnras/article/512/3/4464/6563713&lt;br /&gt;
*https://www.aanda.org/articles/aa/full_html/2018/08/aa32843-18/aa32843-18.html#T3&lt;br /&gt;
*https://www.aanda.org/articles/aa/full_html/2018/08/aa32843-18/F16.html&lt;br /&gt;
*100 pc gaia catalog https://ui.adsabs.harvard.edu/abs/2021A%26A...649A...6G/abstract&lt;br /&gt;
*https://academic.oup.com/mnras/article/478/4/5184/5033414 and https://cdsarc.cds.unistra.fr/ftp/J/MNRAS/478/5184/ReadMe&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Finding_cluster_members&amp;diff=13893</id>
		<title>Finding cluster members</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Finding_cluster_members&amp;diff=13893"/>
		<updated>2024-01-25T23:02:12Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This document is also known as &amp;quot;Luisa’s Table of Characteristics of Young Stars for Determining Cluster Members&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
=Introduction=&lt;br /&gt;
&lt;br /&gt;
[[Image:anatomy.gif|right]]&lt;br /&gt;
Whenever we study stellar clusters the question is: '''Which objects are the cluster members?'''  This is easier with young clusters than old because the young stars are noticeably different than older stars, so it is easier to distinguish the young cluster members from the surrounding interloper stars (foreground and background populations).  This process has a nice analogy with people too... when the IC 2118 teacher team came to visit the SSC, we all went out to lunch at a local Mexican place.  If someone who didn't know any of us walked into the restaurant while we were eating lunch, as a group of astronomers, we are (for the most part! ;) ) not distinctly different than the rest of the adults in there, so we’d be difficult to pick out as a distinct ‘cluster’ of people, especially while we weren’t all physically co-located -- some of us were in line, getting salsa, and/or at the table.  '''But''', if a group from a day care center had been there, it would have been immediately clearly obvious that the children were a group that was different than the rest of the people in the restaurant.  Moreover, the amount of time a human spends as a child is short compared to their entire lifetime, and so it is with stars.  You have to seek out the group of young stars/humans in order to study their development.&lt;br /&gt;
&lt;br /&gt;
Astronomers use as many of the following characteristics of young stars as possible to determine cluster membership, and we will do the same.  &lt;br /&gt;
&lt;br /&gt;
After reading this table, if you now go back and look at [http://adsabs.harvard.edu/abs/2004A%26A...418...89K Maria Kun’s original IC2118 papers], see how many of these items she’s listing in making her case that she’s found young stars in IC 2118.  I haven’t done this.  Have I missed any in the list below? &lt;br /&gt;
&lt;br /&gt;
Anatomy of a young star system (for reference) is to the right.&lt;br /&gt;
&lt;br /&gt;
''making more text solely for the purpose of getting better spacing.&lt;br /&gt;
&lt;br /&gt;
tra la la &lt;br /&gt;
&lt;br /&gt;
more spacing...''&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=The Table=&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Characteristics &lt;br /&gt;
| Pros &lt;br /&gt;
| Cons&lt;br /&gt;
|-&lt;br /&gt;
|IR Excess &lt;br /&gt;
''(IR is emitted by circumstellar matter)'' &lt;br /&gt;
|&lt;br /&gt;
* Need a large field of view to efficiently study large parts of the sky at once&lt;br /&gt;
* Need Spitzer or WISE for mid- and far-IR work (in terms of wavelength coverage and efficiently covering large parts of the sky). (or, Herschel for far-IR.)&lt;br /&gt;
* In our case, we have the data already! (this is a BIG pro!!)&lt;br /&gt;
* Can find all of the stars with an infrared excess pretty straightforwardly.&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Padgett et al., “[http://adsabs.harvard.edu/abs/2004ApJS..154..433P An Aggregate of Young Stellar Disks in Lynds 1228 South],” 2004, ApJS, 154, 433; Joergensen et al., “[http://adsabs.harvard.edu/abs/2006ApJ...645.1246J The Spitzer c2d Survey of Large, Nearby, Interstellar Clouds. III. Perseus Observed with IRAC],” 2006, ApJ, 645, 1246; Rebull et al., “[http://adsabs.harvard.edu/abs/2007ApJS..171..447R The Spitzer c2d Survey of Large, Nearby, Interstellar Clouds: VI. Perseus Observed with MIPS],” 2007, ApJS, 171, 447&lt;br /&gt;
|&lt;br /&gt;
* Need Spitzer or WISE or Herschel (that is, if we didn’t already have the data, as it would be in the general case of cluster membership, not specifically in IC 2118)&lt;br /&gt;
* Will only find those stars which still have enough disk left to make an IR excess – will be unable to distinguish young stars without disks (Class IIIs) from the interlopers.&lt;br /&gt;
* Background galaxies (many of which are forming stars) can have the same IR colors as stars with disks, so need additional data to distinguish stars from galaxies.&lt;br /&gt;
|-&lt;br /&gt;
|(Flaring) X-rays &lt;br /&gt;
''(young stars emit lots of X-rays because they are completely convective and fast-rotating, so they have lots of starspots and therefore lots of flares, big and small)''&lt;br /&gt;
|&lt;br /&gt;
* Need something that can detect X-rays – CXO (Chandra X-ray Observatory) or  XMM (X-Ray Multi-mirror Mission)&lt;br /&gt;
* Can find all of the stars that are bright in X-rays pretty straightforwardly - you just look, and see the ones that are bright.&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Wolk et al., “[http://adsabs.harvard.edu/abs/2006AJ....132.1100W X-Ray and Infrared Point Source Identification and Characteristics in the Embedded, Massive Star-Forming Region RCW 38],” 2006, AJ, 132, 1100, Alcala et al., “[http://adsabs.harvard.edu/abs/1996A%26AS..119....7A New weak-line T Tauri stars in Orion from the ROSAT all-sky survey],” 1996, A&amp;amp;AS, 119, 7.  (Note that both of these folks went out and got additional data on at least some of their objects to further indicate that they were members.)&lt;br /&gt;
|&lt;br /&gt;
* Need space-based mission to see X-rays - can't do from the ground.&lt;br /&gt;
* Need a large field of view to efficiently study large parts of the sky at once; all missions (now, anyway) have small FOV (due to methodology for detection)&lt;br /&gt;
* Takes a long time (like 25,000 seconds for one 5x5 arcminute field), and even then you will still be able to count the number of individual photons that you see.&lt;br /&gt;
* Not all will be detectable on a reasonable timescale.&lt;br /&gt;
* Stars might not be flaring at the time you look.&lt;br /&gt;
* Will only find those stars that are X-ray active enough (might miss those that are deeply embedded or have big enough thick disks to block out the X-rays).&lt;br /&gt;
* Background galaxies can also be bright in X-rays, as can active foreground M dwarfs. &lt;br /&gt;
|-&lt;br /&gt;
|(Flaring) Radio &lt;br /&gt;
''(young stars emit in radio when they flare; see above entry for X-rays)''&lt;br /&gt;
|&lt;br /&gt;
* Need something that can detect radio (ground-based)&lt;br /&gt;
* Can find all of the stars that are bright in radio pretty straightforwardly - you just look, and see the ones that are bright.&lt;br /&gt;
* I don't know of very many people using this method as a primary method for finding young stars.  I invite you to find the ADS references and link them in!&lt;br /&gt;
|&lt;br /&gt;
* Field M stars can also be active, and thus just being bright in radio is not enough.&lt;br /&gt;
* Spatial resolution of radio telescopes usually means either you have low-resolution over a large area (making it problematic to match to specific stars) or high-resolution over a small area (but we have a big map).&lt;br /&gt;
* Background galaxies can also be bright in radio. &lt;br /&gt;
|-&lt;br /&gt;
|Outflows &lt;br /&gt;
''(only present for the very youngest objects, Class Os and Is)''&lt;br /&gt;
|&lt;br /&gt;
* Again, need to cover large areas (outflows can extend over many parsecs).&lt;br /&gt;
* Easily detectable in IRAC or optical emission line studies from the ground (search in ADS on “John Bally” to find lots such optical surveys)&lt;br /&gt;
* Signpost to star formation – really big, obvious literal pointer saying “there is a very young star right HERE”&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Walawender et al., “[http://adsabs.harvard.edu/abs/2006AJ....132..467W Multiple Outflows and Protostars near IC348 and the Flying Ghost Nebula],” 2006, AJ, 132, 467, Bally et al., “[http://adsabs.harvard.edu/abs/2006AJ....131..473B Irradiated and Bent Jets in the Orion Nebula],” 2006, AJ, 131, 473&lt;br /&gt;
|&lt;br /&gt;
* Orientation might not be good – if it’s pointing right at us, we’ll miss it.&lt;br /&gt;
* Not all stars have jets - only the very youngest, and stars don't spend much of their lives in that particular phase, so it's hard to catch them &amp;quot;in the act.&amp;quot;&lt;br /&gt;
* Sometimes hard to connect the maze of jets back to their source -- 2 main reasons: (a) central object often very embedded, and may be missed in optical and/or shallow surveys; (b) object precesses and moves, so jets twist and turn and don’t always point straight back to their source.  In complicated regions (e.g., NGC 1333, see [http://www.spitzer.caltech.edu/Media/releases/ssc2005-24/index.shtml Spitzer image in press release archive]), this is particularly tough.&lt;br /&gt;
|-&lt;br /&gt;
|Emission lines and other line shapes&lt;br /&gt;
''(emitted/absorbed by accreting matter and technically disks too, though I wasn’t thinking of that at the time)''&lt;br /&gt;
|&lt;br /&gt;
* Photometry: Often easy to cover large areas with ground-based telescopes and a narrow-band filter such as Halpha or Neon II.&lt;br /&gt;
* Spectroscopy: fast enough sequence of Halpha spectra can literally allow you to see blobs of matter as they fall into the star (!), which is pretty incontrovertible evidence you have a young star.&lt;br /&gt;
* If you have a single spectroscopic observation of something with a P Cygni profile, this can also indicate accretion (emission line slightly redshifted from absorption line because matter is falling into the star).&lt;br /&gt;
* Spectroscopy of the disk: need IR spectroscopy to see emission lines from molecules in disk&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Ogura et al., “[http://adsabs.harvard.edu/abs/2002AJ....123.2597O Halpha Emission Stars and Herbig-Haro Objects in the Vicinity of Bright-Rimmed Clouds],” 2002, AJ, 123, 2597, Edwards et al., “[http://adsabs.harvard.edu/abs/2006ApJ...646..319E Probing T Tauri Accretion and Outflow with 1 Micron Spectroscopy],” 2006, ApJ, 646, 319 (ok, this is not blind searching, but it is really using line shapes to learn more about the stars in question.)&lt;br /&gt;
|&lt;br /&gt;
* For a more precise measurement of Halpha, need to take spectra, which take longer to acquire than photometry.&lt;br /&gt;
* The nebula itself can emit in Halpha (especially true in Orion Nebula, M41/42), so it can be hard to distinguish the young star emission from the nebular emission (photom or spec).&lt;br /&gt;
* Older stars which are simply chromospherically active can emit in Halpha, so it can be hard to distinguish young stars from older stars on Halpha alone.&lt;br /&gt;
* Spectroscopy of the disk – usually too expensive in terms of observing time to just go hunting blindly – usually need to have some reason to suspect a star is already young before embarking on such a project.&lt;br /&gt;
|-&lt;br /&gt;
|Variability&lt;br /&gt;
''(because so much is happening in and around young stars, they are highly variable.  In all cases here, I’m thinking of photometry, but as mentioned above, temporal studies using spectroscopy are also possible.)''&lt;br /&gt;
|&lt;br /&gt;
* Most frequently done in V, I,  and/or J bands; variability in young stars has been seen in nearly all possible wavelengths&lt;br /&gt;
* Can do from the ground, so can cover large areas of sky if you have a large FOV camera&lt;br /&gt;
* With a large FOV, can do many stars at once.&lt;br /&gt;
* Young stars highly variable, so relatively easy to do (need ~week or two rather than ~month or two of telescope time, and need only to go to 0.1 mag accuracy, not 0.001 mag accuracy, though that would help)&lt;br /&gt;
* Can do relative photometry (photometry with respect to the other stars in the frame rather than with respect to photometric standards) so don’t really need calibrators, and you can keep observing if the night is strictly not photometric conditions. &lt;br /&gt;
* Can be done (often best done) using small (&amp;lt;1 m) telescopes&lt;br /&gt;
* Can look for periods at the same time (see below)&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Carpenter et al., “[http://adsabs.harvard.edu/abs/2001AJ....121.3160C Near-Infrared Photometric Variability of Stars toward the Orion A Molecular Cloud],” 2001, AJ, 121, 3160&lt;br /&gt;
* Note that variability was once one of the defining characteristics of YSOs ([http://adsabs.harvard.edu/abs/1945ApJ...102..168J Joy 1945]).&lt;br /&gt;
|&lt;br /&gt;
* Takes time, need many observations per night over many nights&lt;br /&gt;
* Need to see photosphere (or close to it), so deeply embedded stars are harder to do, or at least harder to make the case to our colleagues that we’re not seeing variation in the nebula or outer disk&lt;br /&gt;
* Need to do both short and long integrations to be able to get valid data on the bright and faint stars, respectively.&lt;br /&gt;
* Older stars can vary too, but generally not at the rate or amplitude &lt;br /&gt;
|-&lt;br /&gt;
|Rotation rate&lt;br /&gt;
''(a special case of ‘variability’ above)''&lt;br /&gt;
|&lt;br /&gt;
* Young stars rotate in general much faster than old stars, so fast rotation is also generally taken as evidence for youth.&lt;br /&gt;
* Spectroscopy: only need one observation per star to get vsini.&lt;br /&gt;
* Spectroscopy: high-res spectra can often also tell you if there is a nearby companion&lt;br /&gt;
* Spectroscopy: high-res spectra can also tell you if the star still has lithum (Li burns so easily that only the youngest stars are thought to have any left)&lt;br /&gt;
* Photometry: know the true value of the period (number is either really right, or wrong by a lot, as a result of observing method), no inclination (sin i) uncertainty&lt;br /&gt;
* Photometry: Period is often something we know with more precision than anything else about these young stars.&lt;br /&gt;
* Photometry: can use the same data you’re using for variability study above.&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Rebull, “[http://adsabs.harvard.edu/abs/2001AJ....121.1676R Rotation of Young Low-Mass Stars in the Orion Nebula Cluster Flanking Fields],” 2001, AJ, 121, 1676; Makidon et al., “[http://adsabs.harvard.edu/abs/2004AJ....127.2228M Periodic Variability of Pre-Main Sequence Stars in the NGC 2264 OB Association],” 2004, AJ, 127, 2228&lt;br /&gt;
|&lt;br /&gt;
* Spectroscopy: need high spectral resolution to get measurement of projected rotational velocity (v sin i)&lt;br /&gt;
* Spectroscopy: can’t do anything about that inclination (sin i) uncertainty&lt;br /&gt;
* Photometry: need many observations per night over many nights, and even then maybe only a fraction of your observed young stars will be detectably periodic.&lt;br /&gt;
* Photometry; need stars to cooperate --  another observing campaign on the same stars a year later will only recover about half(!) of the periodic stars, presumably due to changes in the stars themselves (star spot shape and coverage, disk ‘puffiness’, etc)&lt;br /&gt;
* Photometry: possible – though unlikely for fast rotation rates –  to be fooled by binaries or disk occultations&lt;br /&gt;
|-&lt;br /&gt;
|UV &lt;br /&gt;
''(due to shocks as accretion material hits star)''&lt;br /&gt;
|&lt;br /&gt;
* Lots more UV than expected is a dead give-away for mass accretion onto star (no clear way to create lots of UV any other way)&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Rebull et al., “[http://adsabs.harvard.edu/abs/2000AJ....119.3026R Circumstellar Disk Candidates Identified from UV Excesses in the Orion Nebula Cluster Flanking Fields],” 2000, AJ, 119, 3026&lt;br /&gt;
|&lt;br /&gt;
* Long integration times needed because star faint at shorter wavelengths&lt;br /&gt;
* Star needs to be accreting in order to be &amp;quot;brighter than you expect&amp;quot; at these wavelengths.&lt;br /&gt;
* Subtle accretion rates look like coronal activity in older stars (similar to Halpha “cons” above&lt;br /&gt;
|-&lt;br /&gt;
|Spatial location &lt;br /&gt;
''(localized in area of gas and dust)''&lt;br /&gt;
|&lt;br /&gt;
* Easy to measure – can do from just images&lt;br /&gt;
* We have Spitzer/WISE/Herschel data already, and IR observations easily find dust.&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Padgett et al., “[http://adsabs.harvard.edu/abs/2004ApJS..154..433P An Aggregate of Young Stellar Disks in Lynds 1228 South],” 2004, ApJS, 154, 433 (ok, so spatial location is a co-primary method with IR excess in this paper); Kiss et al., “[http://adsabs.harvard.edu/abs/2006A%26A...453..923K Star formation in the Cepheus Flare region: implications from morphology and infrared properties of optically selected clouds],” 2006, A&amp;amp;A, 453, 923 (again, morphology isn’t the only thing but it plays an important role)&lt;br /&gt;
|&lt;br /&gt;
* Details of extinction not easy to measure&lt;br /&gt;
* Chance superposition of foreground or background stars (and galaxies) can easily fool you, so usually you need at least one other indicator of youth before you can write a paper.&lt;br /&gt;
|-&lt;br /&gt;
|Similar brightness (similar age)&lt;br /&gt;
''(can also think of this as placing them on a color-magnitude diagram [CMD] or HR diagram [HRD])''&lt;br /&gt;
|&lt;br /&gt;
* Can do with photometry of any sort (we can do this with Spitzer/WISE/Herschel data we have) &lt;br /&gt;
* To really put in CMD and get ages/masses, need optical data (photom and spec)&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Rebull et al., “[http://adsabs.harvard.edu/abs/2000AJ....119.3026R Circumstellar Disk Candidates Identified from UV Excesses in the Orion Nebula Cluster Flanking Fields ],” 2000, AJ, 119, 3026 (ok, so I found them first using UV, but the optical CMD is important for making the case that they’re really young); Rebull et al., “[http://adsabs.harvard.edu/abs/2002AJ....123.1528R Circumstellar Disk Candidates Identified in NGC 2264],” 2002, AJ, 123, 1528 (ditto!)&lt;br /&gt;
|&lt;br /&gt;
* Need optical spectra to give us a spectral type (we had time to do this at Palomar for IC 2118) to help with placement in CMD/HRD (we need to get a handle on optical reddening, since reddening will make the stars appear fainter than they should, making it hard to see if they all have similar brightnesses)&lt;br /&gt;
|-&lt;br /&gt;
|Spatial motion &lt;br /&gt;
''(Vradial = radial velocity, AND motion across the sky = proper motion, often abbreviated with the greek letter “mu”)''&lt;br /&gt;
|&lt;br /&gt;
* A cluster will be moving through space together, and if we really know the motion of individual stars, we can determine which objects are part of the cluster.&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Song et al., “[http://adsabs.harvard.edu/abs/2003ApJ...599..342S New Members of the TW Hydrae Association, Beta Pictoris Moving Group, and Tucana/Horologium Association],” 2003, ApJ, 599, 342; Mamajek et al., “[http://adsabs.harvard.edu/abs/1999ApJ...516L..77M The eta Chamaeleontis Cluster: A Remarkable New Nearby Young Open Cluster],” 1999, ApJL, 516, 77 (they use X-rays to also make the case, because this was such a surprising result, people wouldn’t have bought it just based on spatial motions alone.)&lt;br /&gt;
|&lt;br /&gt;
* Takes a long time; have to wait for star to move (units of proper motion are commonly arcseconds per century). Old telescopes like Palomar or Yerkes are best for doing these kinds of studies because they have such a long baseline of observation.  ESA missions called [http://www.rssd.esa.int/index.php?project=HIPPARCOS Hipparcos] and now [https://www.esa.int/Science_Exploration/Space_Science/Gaia Gaia] were both designed for determining proper motions of things all over the sky. &lt;br /&gt;
* Works best for nearby clusters, because the apparent motions are generally larger if the thing is closer. This method is no help for distant clusters.&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=Additional questions asked at the time=&lt;br /&gt;
&lt;br /&gt;
Can you have a disk without accretion? – yes, because the disk could just be sitting there, not actively dumping stuff onto the star; that’s how you get stars with an IR excess but no UV excess.  (Cindy originally had: “yes, because you have Av extinction in the visible” .. the problem with that is that the Av could come from the general ISM, not just the circumstellar disk. &lt;br /&gt;
&lt;br /&gt;
Can you have accretion without a disk? – seems awfully hard to imagine how this could happen, but we have a handful of stars that appear to be doing it.  We don’t know what’s going on there.  Since we are sensitive to DUSTY disks, maybe it is GAS that is still accreting onto the star.&lt;br /&gt;
&lt;br /&gt;
= Questions to think about and things to try=&lt;br /&gt;
&lt;br /&gt;
What happens if a star satisfies some but not all of the criteria above? What if it has only one of the properties? How many properties does it need to have before you could stand up and claim to have found a young star, and have no one argue with you about it?&lt;br /&gt;
&lt;br /&gt;
Find a paper in the literature about finding young stars, not necessarily using Spitzer data, and see how many of these characteristics they use.  Did we miss any?&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Playing_Around_with_Clusters&amp;diff=13892</id>
		<title>Playing Around with Clusters</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Playing_Around_with_Clusters&amp;diff=13892"/>
		<updated>2023-06-30T18:16:59Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Preamble=&lt;br /&gt;
There are a lot of astronomy exercises that can be done once you have a list of cluster members. Now that there are plenty of Gaia data, there are lots of lists of stars that people think are members of various clusters. Some of the prep work that has to be done is extracting the data and converting it into a state that is straightforward for your students to use. Along with a framework of things to do with the clusters, I've done the prep work here for three clusters, along with an explanation of what I've done &amp;quot;behind the scenes&amp;quot; to get these data to this point. I've provided the data from the papers I've used, and then pointers to even more data that you could use to expand this project. Students, if you're reading this, this page could be the seeds for a really impressive science fair project. &lt;br /&gt;
&lt;br /&gt;
First, I just have the skeleton for the lab exercise, then I have more of the infrastructure stuff below that.&lt;br /&gt;
&lt;br /&gt;
=Introduction=&lt;br /&gt;
&lt;br /&gt;
Astronomers use the 3-D motion of stars in the sky to identify stars that are moving as a group, e.g., clusters, also &amp;quot;moving groups&amp;quot;, &amp;quot;open clusters&amp;quot;, myriad other names for stars that apparently were born together and are still associated with each other. Now that there is plenty of Gaia data to be had, the race is on to use all that data to identify members of known clusters and even identify new clusters. Many, many papers have done this, and you may notice that not all the papers agree with each other! We're going to use the published tables from one group's work and take those lists of members as &amp;quot;truth&amp;quot;. &lt;br /&gt;
&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
We are going to load in the Gaia photometry for three clusters, the Pleiades, Praesepe, and NGC 6774. We are going to create optical color-magnitude diagrams for these three clusters and place them in relative age order. As an extension, we will match these stars to 2MASS and WISE data and create IR CMDs to see how they are different than optical CMDs.&lt;br /&gt;
&lt;br /&gt;
=Finding the relative ages=&lt;br /&gt;
&lt;br /&gt;
[https://caltech.box.com/s/0n4d8l4rotxl77otkfeg01oe9rm70t43 This tarfile] has several files. It has pleiades.tbl, praesepe.tbl, and ngc6774.tbl. Load them into IRSA Viewer as catalogs. IRSA Viewer will recognize the positions and plot them on the sky on an image on the left, but also plot positions on the sky on the right. Change what is plotted to be an optical color-magnitude diagram, G vs. B-R, for each catalog (gmag vs. bpmag-rpmag). No need to compensate for distance if you don't want to. (Why do you think that is? What happens if you do compensate for distance?) Pin each CMD so that you can see all three CMDs at once. You may wish to make sure the titles are marked so that you know which diagram is which. &lt;br /&gt;
&lt;br /&gt;
Which cluster is the oldest? Which is the youngest? How do you know?&lt;br /&gt;
&lt;br /&gt;
'''Challenge''': find any white dwarfs, giants, or binary stars in any of these clusters. Verify that you're right by finding the star in SIMBAD.&lt;br /&gt;
&lt;br /&gt;
=Moving into the IR=&lt;br /&gt;
&lt;br /&gt;
Now, we need to go and get the 2MASS data for these stars. For each of these three clusters, go to the Catalog Search Tool, and use multi-object searching and one-to-one matching to find 2MASS point source catalog matches. Save the tables to disk so that you can get the catalogs back into the same IRSA Viewer session as before. &lt;br /&gt;
&lt;br /&gt;
The Catalog Search Tool takes all the same columns you had, appends &amp;quot;_01&amp;quot; to the column name, and then appends the new columns from the catalog you asked it to match, in this case 2mass. So now you have catalogs that have the information from Gaia and now 2MASS as well. Make new CMDs, this time near-IR CMDs, say, J vs. H-K (j_m vs. h_m-k_m). &lt;br /&gt;
&lt;br /&gt;
Are these plots different? How? (hint: Look at the range of the x axis.) Why are they so different? &lt;br /&gt;
&lt;br /&gt;
'''Challenge''': Make optical and NIR CMDs from the same catalog such that once you click on a giant or a white dwarf in a cluster in an optical CMD then it is also highlighted in the corresponding NIR CMD. Where are they in both plots -- are they where you expect?  &lt;br /&gt;
&lt;br /&gt;
'''Challenge''': Repeat this using WISE (you will have to use the original tbl files, not the ones output from the 2MASS merge). Make a plot of [W1] vs. [W1]-[W3] (w1mpro vs. w1mpro-w3mpro). You will most likely need to restrict it to only have the high signal-to-noise sources, e.g., filter down so that at least w3snr &amp;gt; 10). Why does this look like it does? Where are the giants/white dwarfs -- are they where you expect?  Why are there outliers in this plot? What are the outliers? (Hints: worry about errors on the photometry? source confusion? Use Finder Chart? What are the ages of the clusters here - should these stars have IR excesses?)&lt;br /&gt;
&lt;br /&gt;
=Details and expansion options=&lt;br /&gt;
&lt;br /&gt;
If you want to read more about what these particular authors did to get these members, the papers are these: &lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2021ApJ...912..162P/abstract&lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2022ApJ...931..156P/abstract&lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2021RNAAS...5..173L/abstract - just the Pleiades - note that RNAAS papers are not refereed.&lt;br /&gt;
&lt;br /&gt;
The clusters that these papers consider are listed in one of the early tables in both of the first two papers. The data from each of the stars behind these papers are electronic tables and can be downloaded from the journals themselves (everything is open access) or from VizieR. These data files are in plain text format, and you can download them, but they are not yet in a format that IRSA tools can easily recognize. The way that I get them into a format that can be recognized is to import them into Excel, make sure I have the columns parsed properly (you will need to explicitly cast the Gaia number as a string; otherwise it thinks it's a large integer and truncates the value), and save it as a csv file. The columns with RA and Dec should have column headings &amp;quot;ra&amp;quot; and &amp;quot;dec&amp;quot;, just like that, with no capitalization. Then, load the csv file into IRSA Viewer, and it will properly interpret the data tables. For this example, I then used IRSA Viewer to filter down the table based on cluster name to be just Praesepe, then saved that filtered table, and then just NGC 6774, then saved that filtered table accordingly.&lt;br /&gt;
&lt;br /&gt;
If you don't want to use the Pleiades in this project, you can ignore the last paper. I included it because the Pleiades is a benchmark cluster for SO MANY things. The RNAAS paper above has provided the data table as a FITS table, which IRSA Viewer can read directly, but the columns are totally different than what the other papers have. What I did was load the fits table into IRSA Viewer, use the table options (the gears) to turn off and on various columns, then save the table as an IPAC table file as a much slimmed down table containing just the columns I wanted. Then I edited the tbl file to have the same column headings as the other two saved tables such that, e.g., gmag is the same in all three tables for ease of plotting.&lt;br /&gt;
&lt;br /&gt;
Expansion options:&lt;br /&gt;
* Use different/additional clusters. The papers have lots and lots of clusters, and the tables include the ages for the clusters. Pick clusters of different ages, create catalogs via the same methods I used above, and see if your students can put them in the correct relative age order based on the Gaia CMDs. &lt;br /&gt;
* Use different clusters that are young enough that some will have IR excesses. This will make the expansion to WISE data more interesting, but you still need to worry about measurement error and source confusion.&lt;br /&gt;
* Explore ramifications of taking these member lists as opposed to someone else's member lists. Lists of just some of these papers below.&lt;br /&gt;
* For each cluster, explore the proper motions and/or true space motions. This is how the members were selected, so all the cluster members ought to have similar motions.&lt;br /&gt;
* Explore binaries in these clusters. Pull light curves from ZTF or TESS or ASAS-SN to see if they are eclipsing binaries.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Places with cluster membership (far from exhaustive list; get into ADS to find more [[Literature searching]])&lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2018A%26A...616A..10G/abstract&lt;br /&gt;
*And extract the source list (cluster, ra, dec) for each star from the relevant tables&lt;br /&gt;
*http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/616/A10#/browse &lt;br /&gt;
*Separating them out into one source list per cluster, in the right IPAC table format. Then bounce that ra, dec against IRSA’s copy of the Gaia catalogs to get G, B, and R, then use that to make the CMDs. &lt;br /&gt;
*http://cdsarc.u-strasbg.fr/ftp/J/A+A/616/A10/ReadMe&lt;br /&gt;
*https://academic.oup.com/mnras/article/512/3/4464/6563713&lt;br /&gt;
*https://www.aanda.org/articles/aa/full_html/2018/08/aa32843-18/aa32843-18.html#T3&lt;br /&gt;
*https://www.aanda.org/articles/aa/full_html/2018/08/aa32843-18/F16.html&lt;br /&gt;
*100 pc gaia catalog https://ui.adsabs.harvard.edu/abs/2021A%26A...649A...6G/abstract&lt;br /&gt;
*https://academic.oup.com/mnras/article/478/4/5184/5033414 and https://cdsarc.cds.unistra.fr/ftp/J/MNRAS/478/5184/ReadMe&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Playing_Around_with_Clusters&amp;diff=13891</id>
		<title>Playing Around with Clusters</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Playing_Around_with_Clusters&amp;diff=13891"/>
		<updated>2023-06-30T18:16:49Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Preamble=&lt;br /&gt;
There are a lot of astronomy exercises that can be done once you have a list of cluster members. Now that there is plenty of Gaia data, there are lots of lists of stars that people think are members of various clusters. Some of the prep work that has to be done is extracting the data and converting it into a state that is straightforward for your students to use. Along with a framework of things to do with the clusters, I've done the prep work here for three clusters, along with an explanation of what I've done &amp;quot;behind the scenes&amp;quot; to get these data to this point. I've provided the data from the papers I've used, and then pointers to even more data that you could use to expand this project. Students, if you're reading this, this page could be the seeds for a really impressive science fair project. &lt;br /&gt;
&lt;br /&gt;
First, I just have the skeleton for the lab exercise, then I have more of the infrastructure stuff below that.&lt;br /&gt;
&lt;br /&gt;
=Introduction=&lt;br /&gt;
&lt;br /&gt;
Astronomers use the 3-D motion of stars in the sky to identify stars that are moving as a group, e.g., clusters, also &amp;quot;moving groups&amp;quot;, &amp;quot;open clusters&amp;quot;, myriad other names for stars that apparently were born together and are still associated with each other. Now that there is plenty of Gaia data to be had, the race is on to use all that data to identify members of known clusters and even identify new clusters. Many, many papers have done this, and you may notice that not all the papers agree with each other! We're going to use the published tables from one group's work and take those lists of members as &amp;quot;truth&amp;quot;. &lt;br /&gt;
&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
We are going to load in the Gaia photometry for three clusters, the Pleiades, Praesepe, and NGC 6774. We are going to create optical color-magnitude diagrams for these three clusters and place them in relative age order. As an extension, we will match these stars to 2MASS and WISE data and create IR CMDs to see how they are different than optical CMDs.&lt;br /&gt;
&lt;br /&gt;
=Finding the relative ages=&lt;br /&gt;
&lt;br /&gt;
[https://caltech.box.com/s/0n4d8l4rotxl77otkfeg01oe9rm70t43 This tarfile] has several files. It has pleiades.tbl, praesepe.tbl, and ngc6774.tbl. Load them into IRSA Viewer as catalogs. IRSA Viewer will recognize the positions and plot them on the sky on an image on the left, but also plot positions on the sky on the right. Change what is plotted to be an optical color-magnitude diagram, G vs. B-R, for each catalog (gmag vs. bpmag-rpmag). No need to compensate for distance if you don't want to. (Why do you think that is? What happens if you do compensate for distance?) Pin each CMD so that you can see all three CMDs at once. You may wish to make sure the titles are marked so that you know which diagram is which. &lt;br /&gt;
&lt;br /&gt;
Which cluster is the oldest? Which is the youngest? How do you know?&lt;br /&gt;
&lt;br /&gt;
'''Challenge''': find any white dwarfs, giants, or binary stars in any of these clusters. Verify that you're right by finding the star in SIMBAD.&lt;br /&gt;
&lt;br /&gt;
=Moving into the IR=&lt;br /&gt;
&lt;br /&gt;
Now, we need to go and get the 2MASS data for these stars. For each of these three clusters, go to the Catalog Search Tool, and use multi-object searching and one-to-one matching to find 2MASS point source catalog matches. Save the tables to disk so that you can get the catalogs back into the same IRSA Viewer session as before. &lt;br /&gt;
&lt;br /&gt;
The Catalog Search Tool takes all the same columns you had, appends &amp;quot;_01&amp;quot; to the column name, and then appends the new columns from the catalog you asked it to match, in this case 2mass. So now you have catalogs that have the information from Gaia and now 2MASS as well. Make new CMDs, this time near-IR CMDs, say, J vs. H-K (j_m vs. h_m-k_m). &lt;br /&gt;
&lt;br /&gt;
Are these plots different? How? (hint: Look at the range of the x axis.) Why are they so different? &lt;br /&gt;
&lt;br /&gt;
'''Challenge''': Make optical and NIR CMDs from the same catalog such that once you click on a giant or a white dwarf in a cluster in an optical CMD then it is also highlighted in the corresponding NIR CMD. Where are they in both plots -- are they where you expect?  &lt;br /&gt;
&lt;br /&gt;
'''Challenge''': Repeat this using WISE (you will have to use the original tbl files, not the ones output from the 2MASS merge). Make a plot of [W1] vs. [W1]-[W3] (w1mpro vs. w1mpro-w3mpro). You will most likely need to restrict it to only have the high signal-to-noise sources, e.g., filter down so that at least w3snr &amp;gt; 10). Why does this look like it does? Where are the giants/white dwarfs -- are they where you expect?  Why are there outliers in this plot? What are the outliers? (Hints: worry about errors on the photometry? source confusion? Use Finder Chart? What are the ages of the clusters here - should these stars have IR excesses?)&lt;br /&gt;
&lt;br /&gt;
=Details and expansion options=&lt;br /&gt;
&lt;br /&gt;
If you want to read more about what these particular authors did to get these members, the papers are these: &lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2021ApJ...912..162P/abstract&lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2022ApJ...931..156P/abstract&lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2021RNAAS...5..173L/abstract - just the Pleiades - note that RNAAS papers are not refereed.&lt;br /&gt;
&lt;br /&gt;
The clusters that these papers consider are listed in one of the early tables in both of the first two papers. The data from each of the stars behind these papers are electronic tables and can be downloaded from the journals themselves (everything is open access) or from VizieR. These data files are in plain text format, and you can download them, but they are not yet in a format that IRSA tools can easily recognize. The way that I get them into a format that can be recognized is to import them into Excel, make sure I have the columns parsed properly (you will need to explicitly cast the Gaia number as a string; otherwise it thinks it's a large integer and truncates the value), and save it as a csv file. The columns with RA and Dec should have column headings &amp;quot;ra&amp;quot; and &amp;quot;dec&amp;quot;, just like that, with no capitalization. Then, load the csv file into IRSA Viewer, and it will properly interpret the data tables. For this example, I then used IRSA Viewer to filter down the table based on cluster name to be just Praesepe, then saved that filtered table, and then just NGC 6774, then saved that filtered table accordingly.&lt;br /&gt;
&lt;br /&gt;
If you don't want to use the Pleiades in this project, you can ignore the last paper. I included it because the Pleiades is a benchmark cluster for SO MANY things. The RNAAS paper above has provided the data table as a FITS table, which IRSA Viewer can read directly, but the columns are totally different than what the other papers have. What I did was load the fits table into IRSA Viewer, use the table options (the gears) to turn off and on various columns, then save the table as an IPAC table file as a much slimmed down table containing just the columns I wanted. Then I edited the tbl file to have the same column headings as the other two saved tables such that, e.g., gmag is the same in all three tables for ease of plotting.&lt;br /&gt;
&lt;br /&gt;
Expansion options:&lt;br /&gt;
* Use different/additional clusters. The papers have lots and lots of clusters, and the tables include the ages for the clusters. Pick clusters of different ages, create catalogs via the same methods I used above, and see if your students can put them in the correct relative age order based on the Gaia CMDs. &lt;br /&gt;
* Use different clusters that are young enough that some will have IR excesses. This will make the expansion to WISE data more interesting, but you still need to worry about measurement error and source confusion.&lt;br /&gt;
* Explore ramifications of taking these member lists as opposed to someone else's member lists. Lists of just some of these papers below.&lt;br /&gt;
* For each cluster, explore the proper motions and/or true space motions. This is how the members were selected, so all the cluster members ought to have similar motions.&lt;br /&gt;
* Explore binaries in these clusters. Pull light curves from ZTF or TESS or ASAS-SN to see if they are eclipsing binaries.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Places with cluster membership (far from exhaustive list; get into ADS to find more [[Literature searching]])&lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2018A%26A...616A..10G/abstract&lt;br /&gt;
*And extract the source list (cluster, ra, dec) for each star from the relevant tables&lt;br /&gt;
*http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/616/A10#/browse &lt;br /&gt;
*Separating them out into one source list per cluster, in the right IPAC table format. Then bounce that ra, dec against IRSA’s copy of the Gaia catalogs to get G, B, and R, then use that to make the CMDs. &lt;br /&gt;
*http://cdsarc.u-strasbg.fr/ftp/J/A+A/616/A10/ReadMe&lt;br /&gt;
*https://academic.oup.com/mnras/article/512/3/4464/6563713&lt;br /&gt;
*https://www.aanda.org/articles/aa/full_html/2018/08/aa32843-18/aa32843-18.html#T3&lt;br /&gt;
*https://www.aanda.org/articles/aa/full_html/2018/08/aa32843-18/F16.html&lt;br /&gt;
*100 pc gaia catalog https://ui.adsabs.harvard.edu/abs/2021A%26A...649A...6G/abstract&lt;br /&gt;
*https://academic.oup.com/mnras/article/478/4/5184/5033414 and https://cdsarc.cds.unistra.fr/ftp/J/MNRAS/478/5184/ReadMe&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Playing_Around_with_Clusters&amp;diff=13890</id>
		<title>Playing Around with Clusters</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Playing_Around_with_Clusters&amp;diff=13890"/>
		<updated>2023-06-30T18:13:14Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Preamble=&lt;br /&gt;
There is a lot of astronomy exercises that can be done once you have a list of cluster members. Now that there is plenty of Gaia data, there are lots of lists of stars that people think are members of various clusters. Some of the prep work that has to be done is extracting the data and converting it into a state that is straightforward for your students to use. Along with a framework of things to do with the clusters, I've done the prep work here for three clusters, along with an explanation of what I've done &amp;quot;behind the scenes&amp;quot; to get these data to this point. I've provided the data from the papers I've used, and then pointers to even more data that you could use to expand this project. Students, if you're reading this, this page could be the seeds for a really impressive science fair project. &lt;br /&gt;
&lt;br /&gt;
First, I just have the skeleton for the lab exercise, then I have more of the infrastructure stuff below that.&lt;br /&gt;
&lt;br /&gt;
=Introduction=&lt;br /&gt;
&lt;br /&gt;
Astronomers use the 3-D motion of stars in the sky to identify stars that are moving as a group, e.g., clusters, also &amp;quot;moving groups&amp;quot;, &amp;quot;open clusters&amp;quot;, myriad other names for stars that apparently were born together and are still associated with each other. Now that there is plenty of Gaia data to be had, the race is on to use all that data to identify members of known clusters and even identify new clusters. Many, many papers have done this, and you may notice that not all the papers agree with each other! We're going to use the published tables from one group's work and take those lists of members as &amp;quot;truth&amp;quot;. &lt;br /&gt;
&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
We are going to load in the Gaia photometry for three clusters, the Pleiades, Praesepe, and NGC 6774. We are going to create optical color-magnitude diagrams for these three clusters and place them in relative age order. As an extension, we will match these stars to 2MASS and WISE data and create IR CMDs to see how they are different than optical CMDs.&lt;br /&gt;
&lt;br /&gt;
=Finding the relative ages=&lt;br /&gt;
&lt;br /&gt;
[https://caltech.box.com/s/0n4d8l4rotxl77otkfeg01oe9rm70t43 This tarfile] has several files. It has pleiades.tbl, praesepe.tbl, and ngc6774.tbl. Load them into IRSA Viewer as catalogs. IRSA Viewer will recognize the positions and plot them on the sky on an image on the left, but also plot positions on the sky on the right. Change what is plotted to be an optical color-magnitude diagram, G vs. B-R, for each catalog (gmag vs. bpmag-rpmag). No need to compensate for distance if you don't want to. (Why do you think that is? What happens if you do compensate for distance?) Pin each CMD so that you can see all three CMDs at once. You may wish to make sure the titles are marked so that you know which diagram is which. &lt;br /&gt;
&lt;br /&gt;
Which cluster is the oldest? Which is the youngest? How do you know?&lt;br /&gt;
&lt;br /&gt;
'''Challenge''': find any white dwarfs, giants, or binary stars in any of these clusters. Verify that you're right by finding the star in SIMBAD.&lt;br /&gt;
&lt;br /&gt;
=Moving into the IR=&lt;br /&gt;
&lt;br /&gt;
Now, we need to go and get the 2MASS data for these stars. For each of these three clusters, go to the Catalog Search Tool, and use multi-object searching and one-to-one matching to find 2MASS point source catalog matches. Save the tables to disk so that you can get the catalogs back into the same IRSA Viewer session as before. &lt;br /&gt;
&lt;br /&gt;
The Catalog Search Tool takes all the same columns you had, appends &amp;quot;_01&amp;quot; to the column name, and then appends the new columns from the catalog you asked it to match, in this case 2mass. So now you have catalogs that have the information from Gaia and now 2MASS as well. Make new CMDs, this time near-IR CMDs, say, J vs. H-K (j_m vs. h_m-k_m). &lt;br /&gt;
&lt;br /&gt;
Are these plots different? How? (hint: Look at the range of the x axis.) Why are they so different? &lt;br /&gt;
&lt;br /&gt;
'''Challenge''': Make optical and NIR CMDs from the same catalog such that once you click on a giant or a white dwarf in a cluster in an optical CMD then it is also highlighted in the corresponding NIR CMD. Where are they in both plots -- are they where you expect?  &lt;br /&gt;
&lt;br /&gt;
'''Challenge''': Repeat this using WISE (you will have to use the original tbl files, not the ones output from the 2MASS merge). Make a plot of [W1] vs. [W1]-[W3] (w1mpro vs. w1mpro-w3mpro). You will most likely need to restrict it to only have the high signal-to-noise sources, e.g., filter down so that at least w3snr &amp;gt; 10). Why does this look like it does? Where are the giants/white dwarfs -- are they where you expect?  Why are there outliers in this plot? What are the outliers? (Hints: worry about errors on the photometry? source confusion? Use Finder Chart? What are the ages of the clusters here - should these stars have IR excesses?)&lt;br /&gt;
&lt;br /&gt;
=Details and expansion options=&lt;br /&gt;
&lt;br /&gt;
If you want to read more about what these particular authors did to get these members, the papers are these: &lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2021ApJ...912..162P/abstract&lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2022ApJ...931..156P/abstract&lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2021RNAAS...5..173L/abstract - just the Pleiades - note that RNAAS papers are not refereed.&lt;br /&gt;
&lt;br /&gt;
The clusters that these papers consider are listed in one of the early tables in both of the first two papers. The data from each of the stars behind these papers are electronic tables and can be downloaded from the journals themselves (everything is open access) or from VizieR. These data files are in plain text format, and you can download them, but they are not yet in a format that IRSA tools can easily recognize. The way that I get them into a format that can be recognized is to import them into Excel, make sure I have the columns parsed properly (you will need to explicitly cast the Gaia number as a string; otherwise it thinks it's a large integer and truncates the value), and save it as a csv file. The columns with RA and Dec should have column headings &amp;quot;ra&amp;quot; and &amp;quot;dec&amp;quot;, just like that, with no capitalization. Then, load the csv file into IRSA Viewer, and it will properly interpret the data tables. For this example, I then used IRSA Viewer to filter down the table based on cluster name to be just Praesepe, then saved that filtered table, and then just NGC 6774, then saved that filtered table accordingly.&lt;br /&gt;
&lt;br /&gt;
If you don't want to use the Pleiades in this project, you can ignore the last paper. I included it because the Pleiades is a benchmark cluster for SO MANY things. The RNAAS paper above has provided the data table as a FITS table, which IRSA Viewer can read directly, but the columns are totally different than what the other papers have. What I did was load the fits table into IRSA Viewer, use the table options (the gears) to turn off and on various columns, then save the table as an IPAC table file as a much slimmed down table containing just the columns I wanted. Then I edited the tbl file to have the same column headings as the other two saved tables such that, e.g., gmag is the same in all three tables for ease of plotting.&lt;br /&gt;
&lt;br /&gt;
Expansion options:&lt;br /&gt;
* Use different/additional clusters. The papers have lots and lots of clusters, and the tables include the ages for the clusters. Pick clusters of different ages, create catalogs via the same methods I used above, and see if your students can put them in the correct relative age order based on the Gaia CMDs. &lt;br /&gt;
* Use different clusters that are young enough that some will have IR excesses. This will make the expansion to WISE data more interesting, but you still need to worry about measurement error and source confusion.&lt;br /&gt;
* Explore ramifications of taking these member lists as opposed to someone else's member lists. Lists of just some of these papers below.&lt;br /&gt;
* For each cluster, explore the proper motions and/or true space motions. This is how the members were selected, so all the cluster members ought to have similar motions.&lt;br /&gt;
* Explore binaries in these clusters. Pull light curves from ZTF or TESS or ASAS-SN to see if they are eclipsing binaries.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Places with cluster membership (far from exhaustive list; get into ADS to find more [[Literature searching]])&lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2018A%26A...616A..10G/abstract&lt;br /&gt;
*And extract the source list (cluster, ra, dec) for each star from the relevant tables&lt;br /&gt;
*http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/616/A10#/browse &lt;br /&gt;
*Separating them out into one source list per cluster, in the right IPAC table format. Then bounce that ra, dec against IRSA’s copy of the Gaia catalogs to get G, B, and R, then use that to make the CMDs. &lt;br /&gt;
*http://cdsarc.u-strasbg.fr/ftp/J/A+A/616/A10/ReadMe&lt;br /&gt;
*https://academic.oup.com/mnras/article/512/3/4464/6563713&lt;br /&gt;
*https://www.aanda.org/articles/aa/full_html/2018/08/aa32843-18/aa32843-18.html#T3&lt;br /&gt;
*https://www.aanda.org/articles/aa/full_html/2018/08/aa32843-18/F16.html&lt;br /&gt;
*100 pc gaia catalog https://ui.adsabs.harvard.edu/abs/2021A%26A...649A...6G/abstract&lt;br /&gt;
*https://academic.oup.com/mnras/article/478/4/5184/5033414 and https://cdsarc.cds.unistra.fr/ftp/J/MNRAS/478/5184/ReadMe&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Finding_the_velocity_of_a_high-proper-motion_star_in_IC2118&amp;diff=13889</id>
		<title>Finding the velocity of a high-proper-motion star in IC2118</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Finding_the_velocity_of_a_high-proper-motion_star_in_IC2118&amp;diff=13889"/>
		<updated>2023-06-15T19:13:54Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Introduction=&lt;br /&gt;
[https://ui.adsabs.harvard.edu/abs/2010ApJ...720...46G/abstract This paper] was a result of one of the very first NITARP teams, when it was still the Spitzer program. &lt;br /&gt;
&lt;br /&gt;
IC2118 is also known as the Witch Head Nebula, and is off the knee of Orion.&lt;br /&gt;
&lt;br /&gt;
When we were working on finding new YSOs in IC 2118, we found a high proper motion star.&lt;br /&gt;
&lt;br /&gt;
=You can find the high proper motion star=&lt;br /&gt;
&lt;br /&gt;
In general, stars don't move very fast by human standards. In order to find stars that move, it's easier if you have images taken over a long time baseline to give the stars time to move enough for you to see it. Alternatively, you need to move your baseline and make very careful measurements (for related information on measuring parallax, which is easier than proper motions, see [https://www.esa.int/Science_Exploration/Space_Science/Gaia/Parallax Gaia] and the [http://pluto.jhuapl.edu/Learn/Get-Involved.php#Parallax-Program New Horizons parallax project]).&lt;br /&gt;
&lt;br /&gt;
Fortunately, you have easy access to a time baseline of more than 50 years -- POSS photographic plates were taken in the 1950s and the Spitzer data were taken in the mid-2000s. Use IRSA Viewer to pull &amp;quot;big enough&amp;quot; images of IC2118 from POSS and from Spitzer (use the SEIP). You will need to decide how big is &amp;quot;big enough.&amp;quot; Use IRSA Viewer to make a 3-color image using one of the earliest POSS images for at least one plane and one of the Spitzer/IRAC images for another plane. Does the high-proper-motion star jump out at you?&lt;br /&gt;
&lt;br /&gt;
Identify the position of the high proper motion star in at least two epochs. (You have easy access to a third epoch from the late 1990s from 2MASS.) Do this by hand or look up the derived (sub-arc-second) position for the star at each epoch.&lt;br /&gt;
&lt;br /&gt;
=Do the math!=&lt;br /&gt;
&lt;br /&gt;
Figure out how far it has moved in the available time. Calculate the spherical trig properly. Make a note of the dates precisely. Calculate the average proper motion (in RA and Dec directions).  Do you get the same numbers we did in section 4.6 of the IC2118 paper?&lt;br /&gt;
&lt;br /&gt;
Since we did this work, more data have been released. Can you find this star in Gaia DR2 or DR3? What parallax and proper motion did they get? How does it compare to our value from the paper, or your calculated value? (Did we get it right, or at least close?) DR3 includes both parallaxes and distances. Are they consistent with each other? Advanced: use Bailer-Jones et al. (2018 or 2021) to get the corrected distance for this thing, as opposed to just inverting the parallax (you can look up individual objects in catalogs that are not at IRSA by using [https://vizier.cds.unistra.fr/viz-bin/VizieR VizieR]). Why does this matter? (To get Bailer-Jones et al. distances, you may need to go elsewhere; bonus points for getting into ESA and working from there rather than VizieR.)&lt;br /&gt;
&lt;br /&gt;
Calculate the true space velocity of this star, or at least the projected space velocity assuming ~50 pc distance. Is it a runaway? (Will it escape the galaxy?) You'll need to look up a bunch of supporting information to figure this out.&lt;br /&gt;
&lt;br /&gt;
News item on runaways: https://www.sciencealert.com/scientists-detect-fastest-runaway-star-ever-seen-in-the-milky-way&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
(e.g., these are the &amp;quot;Lego bricks&amp;quot; to go investigate in order to build this &amp;quot;Lego kit.&amp;quot;)&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[All ds9 information in one place]]&lt;br /&gt;
*[[Overview of measuring distances]]&lt;br /&gt;
*[[Photometry (finding it)]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13888</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13888"/>
		<updated>2023-05-16T15:51:54Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
'''Read the entire page below before you try to fill out this table!'''&lt;br /&gt;
&lt;br /&gt;
Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance https://youtu.be/Y5DEo6amN44 but it is totally silent because I’m in my mom’s room at the nursing facility and she is dozing.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution !! Where you find the images&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || || || https://ps1images.stsci.edu/cgi-bin/ps1cutouts&lt;br /&gt;
|-&lt;br /&gt;
| IPHAS || 0.62-0.77 um || || || https://www.iphas.org/images/&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)'' || (don't exist)&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || || || Finder Chart or IRSA Viewer (use 6 deg img if IRSA Viewer)&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || || || Finder Chart or IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || || || Finder Chart or IRSA Viewer, but some data sets only IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || || || Finder Chart or IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || || || IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || || || IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || ''(~5 arcsec; FIS is 1-1.5 ARCMIN)'' || ''(no images released so can't do this)'' || (aren't accessible; ones in IRSA tools are FIS, not IRC)&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || ''(harder than i thought it would be; it's 12-20 arcsec)'' || ''(varies a lot over the bands; you can just pick 1 or 2)'' || IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || || || Finder Chart or IRSA Viewer&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE (columns 3 and 4 for for three rows), and attempt the questions in &amp;quot;Backing out to the bigger picture&amp;quot;&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows), and answer the questions in &amp;quot;Backing out to the bigger picture&amp;quot;&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can, and answer the questions in &amp;quot;Backing out to the bigger picture&amp;quot;, and come up with some questions of your own! :)&lt;br /&gt;
&lt;br /&gt;
'''Read the entire page below before you try to fill out this table!''' &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. (arcseconds per pixel to be precise!) If you are finding numbers in degrees or arcMINUTES per pixel, convert the units! 60 arcseconds to an arcminute, and 60 arcminutes to a degree.&lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for at least the three core data sets (2MASS, Spitzer/IRAC, WISE)? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.)&lt;br /&gt;
&lt;br /&gt;
=Backing out to the bigger picture again=&lt;br /&gt;
&lt;br /&gt;
Do you notice any trends of resolution with wavelength?&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many catalogs and papers list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
Sh 2-187: Why is it that the &amp;quot;blue clusters&amp;quot; are easier to find in Spitzer data than WISE data?&lt;br /&gt;
&lt;br /&gt;
Sh 2-192: Why is it that the source right at the position of Sh 2-192 gets suddenly much larger at 22 um? Is that resolution or astrophysics?&lt;br /&gt;
&lt;br /&gt;
How is all of this going to affect our ability to match sources across wavelengths from optical to 24 microns?&lt;br /&gt;
&lt;br /&gt;
= Hints and Tips =&lt;br /&gt;
&lt;br /&gt;
Sh 2-187 has Spitzer data in SEIP but not GLIMPSE. Sh 2-192 has data in GLIMPSE but not SEIP (so you need to go to IRSA Viewer to find it).&lt;br /&gt;
&lt;br /&gt;
Both of them have tiles too small in 2MASS to cover the whole 20 arcmin. If you want a bigger 2MASS tile, you need to go to IRSA Viewer and use 6 degree, not 6x.&lt;br /&gt;
&lt;br /&gt;
Align and lock by position in Finder Chart is on by default, but it isn't in IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
PanSTARRS images: https://ps1images.stsci.edu/cgi-bin/ps1cutouts&lt;br /&gt;
&lt;br /&gt;
IPHAS images: https://www.iphas.org/images/ &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13887</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13887"/>
		<updated>2023-04-23T21:31:39Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
'''Read the entire page below before you try to fill out this table!'''&lt;br /&gt;
&lt;br /&gt;
Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance https://youtu.be/Y5DEo6amN44 but it is totally silent because I’m in my mom’s room at the nursing facility and she is dozing.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution !! Where you find the images&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || || || https://ps1images.stsci.edu/cgi-bin/ps1cutouts&lt;br /&gt;
|-&lt;br /&gt;
| IPHAS || 0.62-0.77 um || || || https://www.iphas.org/images/&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)'' || (don't exist)&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || || || Finder Chart or IRSA Viewer (use 6 deg img if IRSA Viewer)&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || || || Finder Chart or IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || || || Finder Chart or IRSA Viewer, but some data sets only IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || || || Finder Chart or IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || || || IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || || || IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)'' || (aren't accessible; ones in IRSA tools are FIS, not IRC)&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || || ''(varies a lot over the bands; you can just pick 1 or 2)'' || IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || || || Finder Chart or IRSA Viewer&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE (columns 3 and 4 for for three rows), and attempt the questions in &amp;quot;Backing out to the bigger picture&amp;quot;&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows), and answer the questions in &amp;quot;Backing out to the bigger picture&amp;quot;&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can, and answer the questions in &amp;quot;Backing out to the bigger picture&amp;quot;, and come up with some questions of your own! :)&lt;br /&gt;
&lt;br /&gt;
'''Read the entire page below before you try to fill out this table!''' &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. (arcseconds per pixel to be precise!) If you are finding numbers in degrees or arcMINUTES per pixel, convert the units! 60 arcseconds to an arcminute, and 60 arcminutes to a degree.&lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for at least the three core data sets (2MASS, Spitzer/IRAC, WISE)? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.)&lt;br /&gt;
&lt;br /&gt;
=Backing out to the bigger picture again=&lt;br /&gt;
&lt;br /&gt;
Do you notice any trends of resolution with wavelength?&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many catalogs and papers list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
Sh 2-187: Why is it that the &amp;quot;blue clusters&amp;quot; are easier to find in Spitzer data than WISE data?&lt;br /&gt;
&lt;br /&gt;
Sh 2-192: Why is it that the source right at the position of Sh 2-192 gets suddenly much larger at 22 um? Is that resolution or astrophysics?&lt;br /&gt;
&lt;br /&gt;
How is all of this going to affect our ability to match sources across wavelengths from optical to 24 microns?&lt;br /&gt;
&lt;br /&gt;
= Hints and Tips =&lt;br /&gt;
&lt;br /&gt;
Sh 2-187 has Spitzer data in SEIP but not GLIMPSE. Sh 2-192 has data in GLIMPSE but not SEIP (so you need to go to IRSA Viewer to find it).&lt;br /&gt;
&lt;br /&gt;
Both of them have tiles too small in 2MASS to cover the whole 20 arcmin. If you want a bigger 2MASS tile, you need to go to IRSA Viewer and use 6 degree, not 6x.&lt;br /&gt;
&lt;br /&gt;
Align and lock by position in Finder Chart is on by default, but it isn't in IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
PanSTARRS images: https://ps1images.stsci.edu/cgi-bin/ps1cutouts&lt;br /&gt;
&lt;br /&gt;
IPHAS images: https://www.iphas.org/images/ &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13886</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13886"/>
		<updated>2023-04-23T21:30:59Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
'''Read the entire page below before you try to fill out this table!'''&lt;br /&gt;
&lt;br /&gt;
Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance https://youtu.be/Y5DEo6amN44 but it is totally silent because I’m in my mom’s room at the nursing facility and she is dozing.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution !! Where you find the images&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || || || https://ps1images.stsci.edu/cgi-bin/ps1cutouts&lt;br /&gt;
|-&lt;br /&gt;
| IPHAS || 0.62-0.77 um || || || https://www.iphas.org/images/&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)'' || (don't exist)&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || || || Finder Chart or IRSA Viewer (use 6 deg img if IRSA Viewer)&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || || || Finder Chart or IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || || || Finder Chart or IRSA Viewer, but some data sets only IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || || || Finder Chart or IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || || || IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || || || IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)'' || (aren't accessible)&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || || ''(varies a lot over the bands; you can just pick 1 or 2)'' || IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || || || Finder Chart or IRSA Viewer&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE (columns 3 and 4 for for three rows), and attempt the questions in &amp;quot;Backing out to the bigger picture&amp;quot;&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows), and answer the questions in &amp;quot;Backing out to the bigger picture&amp;quot;&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can, and answer the questions in &amp;quot;Backing out to the bigger picture&amp;quot;, and come up with some questions of your own! :)&lt;br /&gt;
&lt;br /&gt;
'''Read the entire page below before you try to fill out this table!''' &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. (arcseconds per pixel to be precise!) If you are finding numbers in degrees or arcMINUTES per pixel, convert the units! 60 arcseconds to an arcminute, and 60 arcminutes to a degree.&lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for at least the three core data sets (2MASS, Spitzer/IRAC, WISE)? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.)&lt;br /&gt;
&lt;br /&gt;
=Backing out to the bigger picture again=&lt;br /&gt;
&lt;br /&gt;
Do you notice any trends of resolution with wavelength?&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many catalogs and papers list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
Sh 2-187: Why is it that the &amp;quot;blue clusters&amp;quot; are easier to find in Spitzer data than WISE data?&lt;br /&gt;
&lt;br /&gt;
Sh 2-192: Why is it that the source right at the position of Sh 2-192 gets suddenly much larger at 22 um? Is that resolution or astrophysics?&lt;br /&gt;
&lt;br /&gt;
How is all of this going to affect our ability to match sources across wavelengths from optical to 24 microns?&lt;br /&gt;
&lt;br /&gt;
= Hints and Tips =&lt;br /&gt;
&lt;br /&gt;
Sh 2-187 has Spitzer data in SEIP but not GLIMPSE. Sh 2-192 has data in GLIMPSE but not SEIP (so you need to go to IRSA Viewer to find it).&lt;br /&gt;
&lt;br /&gt;
Both of them have tiles too small in 2MASS to cover the whole 20 arcmin. If you want a bigger 2MASS tile, you need to go to IRSA Viewer and use 6 degree, not 6x.&lt;br /&gt;
&lt;br /&gt;
Align and lock by position in Finder Chart is on by default, but it isn't in IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
PanSTARRS images: https://ps1images.stsci.edu/cgi-bin/ps1cutouts&lt;br /&gt;
&lt;br /&gt;
IPHAS images: https://www.iphas.org/images/ &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13885</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13885"/>
		<updated>2023-04-23T21:30:14Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
'''Read the entire page below before you try to fill out this table!'''&lt;br /&gt;
&lt;br /&gt;
Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance https://youtu.be/Y5DEo6amN44 but it is totally silent because I’m in my mom’s room at the nursing facility and she is dozing.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution !! (Where you find the data)&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || || || https://ps1images.stsci.edu/cgi-bin/ps1cutouts&lt;br /&gt;
|-&lt;br /&gt;
| IPHAS || 0.62-0.77 um || || || https://www.iphas.org/images/&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)'' || (doesn't exist)&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || || || Finder Chart or IRSA Viewer (use 6 deg img if IRSA Viewer)&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || || || Finder Chart or IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || || || Finder Chart or IRSA Viewer, but some data sets only IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || || || Finder Chart or IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || || || IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || || || IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)'' || (doesn't exist)&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || || ''(varies a lot over the bands; you can just pick 1 or 2)'' || IRSA Viewer&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || || || Finder Chart or IRSA Viewer&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE (columns 3 and 4 for for three rows), and attempt the questions in &amp;quot;Backing out to the bigger picture&amp;quot;&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows), and answer the questions in &amp;quot;Backing out to the bigger picture&amp;quot;&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can, and answer the questions in &amp;quot;Backing out to the bigger picture&amp;quot;, and come up with some questions of your own! :)&lt;br /&gt;
&lt;br /&gt;
'''Read the entire page below before you try to fill out this table!''' &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. (arcseconds per pixel to be precise!) If you are finding numbers in degrees or arcMINUTES per pixel, convert the units! 60 arcseconds to an arcminute, and 60 arcminutes to a degree.&lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for at least the three core data sets (2MASS, Spitzer/IRAC, WISE)? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.)&lt;br /&gt;
&lt;br /&gt;
=Backing out to the bigger picture again=&lt;br /&gt;
&lt;br /&gt;
Do you notice any trends of resolution with wavelength?&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many catalogs and papers list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
Sh 2-187: Why is it that the &amp;quot;blue clusters&amp;quot; are easier to find in Spitzer data than WISE data?&lt;br /&gt;
&lt;br /&gt;
Sh 2-192: Why is it that the source right at the position of Sh 2-192 gets suddenly much larger at 22 um? Is that resolution or astrophysics?&lt;br /&gt;
&lt;br /&gt;
How is all of this going to affect our ability to match sources across wavelengths from optical to 24 microns?&lt;br /&gt;
&lt;br /&gt;
= Hints and Tips =&lt;br /&gt;
&lt;br /&gt;
Sh 2-187 has Spitzer data in SEIP but not GLIMPSE. Sh 2-192 has data in GLIMPSE but not SEIP (so you need to go to IRSA Viewer to find it).&lt;br /&gt;
&lt;br /&gt;
Both of them have tiles too small in 2MASS to cover the whole 20 arcmin. If you want a bigger 2MASS tile, you need to go to IRSA Viewer and use 6 degree, not 6x.&lt;br /&gt;
&lt;br /&gt;
Align and lock by position in Finder Chart is on by default, but it isn't in IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
PanSTARRS images: https://ps1images.stsci.edu/cgi-bin/ps1cutouts&lt;br /&gt;
&lt;br /&gt;
IPHAS images: https://www.iphas.org/images/ &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13884</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13884"/>
		<updated>2023-04-23T21:26:30Z</updated>

		<summary type="html">&lt;p&gt;Rebull: /* Getting started on filling out that table */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
'''Read the entire page below before you try to fill out this table!'''&lt;br /&gt;
&lt;br /&gt;
Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance https://youtu.be/Y5DEo6amN44 but it is totally silent because I’m in my mom’s room at the nursing facility and she is dozing.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| IPHAS || 0.62-0.77 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || || ''(varies a lot over the bands; you can just pick 1 or 2)''&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE (columns 3 and 4 for for three rows), and attempt the questions in &amp;quot;Backing out to the bigger picture&amp;quot;&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows), and answer the questions in &amp;quot;Backing out to the bigger picture&amp;quot;&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can, and answer the questions in &amp;quot;Backing out to the bigger picture&amp;quot;, and come up with some questions of your own! :)&lt;br /&gt;
&lt;br /&gt;
'''Read the entire page below before you try to fill out this table!''' &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. (arcseconds per pixel to be precise!) If you are finding numbers in degrees or arcMINUTES per pixel, convert the units! 60 arcseconds to an arcminute, and 60 arcminutes to a degree.&lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for at least the three core data sets (2MASS, Spitzer/IRAC, WISE)? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.)&lt;br /&gt;
&lt;br /&gt;
=Backing out to the bigger picture again=&lt;br /&gt;
&lt;br /&gt;
Do you notice any trends of resolution with wavelength?&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many catalogs and papers list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
Sh 2-187: Why is it that the &amp;quot;blue clusters&amp;quot; are easier to find in Spitzer data than WISE data?&lt;br /&gt;
&lt;br /&gt;
Sh 2-192: Why is it that the source right at the position of Sh 2-192 gets suddenly much larger at 22 um? Is that resolution or astrophysics?&lt;br /&gt;
&lt;br /&gt;
How is all of this going to affect our ability to match sources across wavelengths from optical to 24 microns?&lt;br /&gt;
&lt;br /&gt;
= Hints and Tips =&lt;br /&gt;
&lt;br /&gt;
Sh 2-187 has Spitzer data in SEIP but not GLIMPSE. Sh 2-192 has data in GLIMPSE but not SEIP (so you need to go to IRSA Viewer to find it).&lt;br /&gt;
&lt;br /&gt;
Both of them have tiles too small in 2MASS to cover the whole 20 arcmin. If you want a bigger 2MASS tile, you need to go to IRSA Viewer and use 6 degree, not 6x.&lt;br /&gt;
&lt;br /&gt;
Align and lock by position in Finder Chart is on by default, but it isn't in IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
PanSTARRS images: https://ps1images.stsci.edu/cgi-bin/ps1cutouts&lt;br /&gt;
&lt;br /&gt;
IPHAS images: https://www.iphas.org/images/ &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13883</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13883"/>
		<updated>2023-04-23T21:25:11Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
'''Read the entire page below before you try to fill out this table!'''&lt;br /&gt;
&lt;br /&gt;
Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance https://youtu.be/Y5DEo6amN44 but it is totally silent because I’m in my mom’s room at the nursing facility and she is dozing.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| IPHAS || 0.62-0.77 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || || ''(varies a lot over the bands; you can just pick 1 or 2)''&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE (columns 3 and 4 for for three rows), and attempt the questions in &amp;quot;Backing out to the bigger picture&amp;quot;&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows), and answer the questions in &amp;quot;Backing out to the bigger picture&amp;quot;&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can, and answer the questions in &amp;quot;Backing out to the bigger picture&amp;quot;, and come up with some questions of your own! :)&lt;br /&gt;
&lt;br /&gt;
'''Read the entire page below before you try to fill out this table!''' &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. (arcseconds per pixel to be precise!) If you are finding numbers in degrees or arcMINUTES per pixel, convert the units! 60 arcseconds to an arcminute, and 60 arcminutes to a degree.&lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for each survey? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.)&lt;br /&gt;
&lt;br /&gt;
=Backing out to the bigger picture again=&lt;br /&gt;
&lt;br /&gt;
Do you notice any trends of resolution with wavelength?&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many catalogs and papers list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
Sh 2-187: Why is it that the &amp;quot;blue clusters&amp;quot; are easier to find in Spitzer data than WISE data?&lt;br /&gt;
&lt;br /&gt;
Sh 2-192: Why is it that the source right at the position of Sh 2-192 gets suddenly much larger at 22 um? Is that resolution or astrophysics?&lt;br /&gt;
&lt;br /&gt;
How is all of this going to affect our ability to match sources across wavelengths from optical to 24 microns?&lt;br /&gt;
&lt;br /&gt;
= Hints and Tips =&lt;br /&gt;
&lt;br /&gt;
Sh 2-187 has Spitzer data in SEIP but not GLIMPSE. Sh 2-192 has data in GLIMPSE but not SEIP (so you need to go to IRSA Viewer to find it).&lt;br /&gt;
&lt;br /&gt;
Both of them have tiles too small in 2MASS to cover the whole 20 arcmin. If you want a bigger 2MASS tile, you need to go to IRSA Viewer and use 6 degree, not 6x.&lt;br /&gt;
&lt;br /&gt;
Align and lock by position in Finder Chart is on by default, but it isn't in IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
PanSTARRS images: https://ps1images.stsci.edu/cgi-bin/ps1cutouts&lt;br /&gt;
&lt;br /&gt;
IPHAS images: https://www.iphas.org/images/ &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13882</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13882"/>
		<updated>2023-04-23T21:24:40Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
'''Read the entire page below before you try to fill out this table!'''&lt;br /&gt;
&lt;br /&gt;
Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance https://youtu.be/Y5DEo6amN44 but it is totally silent because I’m in my mom’s room at the nursing facility and she is dozing.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| IPHAS || 0.62-0.77 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || || ''(varies a lot over the bands; you can just pick 1 or 2)''&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE. (columns 3 and 4 for for three rows), and attempt the questions in &amp;quot;Backing out to the bigger picture&amp;quot;&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows), and answer the questions in &amp;quot;Backing out to the bigger picture&amp;quot;&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can, and answer the questions in &amp;quot;Backing out to the bigger picture&amp;quot;, and come up with some questions of your own! :)&lt;br /&gt;
&lt;br /&gt;
'''Read the entire page below before you try to fill out this table!''' &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. (arcseconds per pixel to be precise!) If you are finding numbers in degrees or arcMINUTES per pixel, convert the units! 60 arcseconds to an arcminute, and 60 arcminutes to a degree.&lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for each survey? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.)&lt;br /&gt;
&lt;br /&gt;
=Backing out to the bigger picture again=&lt;br /&gt;
&lt;br /&gt;
Do you notice any trends of resolution with wavelength?&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many catalogs and papers list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
Sh 2-187: Why is it that the &amp;quot;blue clusters&amp;quot; are easier to find in Spitzer data than WISE data?&lt;br /&gt;
&lt;br /&gt;
Sh 2-192: Why is it that the source right at the position of Sh 2-192 gets suddenly much larger at 22 um? Is that resolution or astrophysics?&lt;br /&gt;
&lt;br /&gt;
How is all of this going to affect our ability to match sources across wavelengths from optical to 24 microns?&lt;br /&gt;
&lt;br /&gt;
= Hints and Tips =&lt;br /&gt;
&lt;br /&gt;
Sh 2-187 has Spitzer data in SEIP but not GLIMPSE. Sh 2-192 has data in GLIMPSE but not SEIP (so you need to go to IRSA Viewer to find it).&lt;br /&gt;
&lt;br /&gt;
Both of them have tiles too small in 2MASS to cover the whole 20 arcmin. If you want a bigger 2MASS tile, you need to go to IRSA Viewer and use 6 degree, not 6x.&lt;br /&gt;
&lt;br /&gt;
Align and lock by position in Finder Chart is on by default, but it isn't in IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
PanSTARRS images: https://ps1images.stsci.edu/cgi-bin/ps1cutouts&lt;br /&gt;
&lt;br /&gt;
IPHAS images: https://www.iphas.org/images/ &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13881</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13881"/>
		<updated>2023-04-23T21:23:32Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
'''Read the entire page below before you try to fill out this table!'''&lt;br /&gt;
&lt;br /&gt;
Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance https://youtu.be/Y5DEo6amN44 but it is totally silent because I’m in my mom’s room at the nursing facility and she is dozing.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| IPHAS || 0.62-0.77 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || || ''(varies a lot over the bands; you can just pick 1 or 2)''&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE. (columns 3 and 4 for for three rows)&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows).&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can&lt;br /&gt;
&lt;br /&gt;
'''Read the entire page below before you try to fill out this table!''' &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. (arcseconds per pixel to be precise!) If you are finding numbers in degrees or arcMINUTES per pixel, convert the units! 60 arcseconds to an arcminute, and 60 arcminutes to a degree.&lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for each survey? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.)&lt;br /&gt;
&lt;br /&gt;
=Backing out to the bigger picture again=&lt;br /&gt;
&lt;br /&gt;
Do you notice any trends of resolution with wavelength?&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many catalogs and papers list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
Sh 2-187: Why is it that the &amp;quot;blue clusters&amp;quot; are easier to find in Spitzer data than WISE data?&lt;br /&gt;
&lt;br /&gt;
Sh 2-192: Why is it that the source right at the position of Sh 2-192 gets suddenly much larger at 22 um? Is that resolution or astrophysics?&lt;br /&gt;
&lt;br /&gt;
How is all of this going to affect our ability to match sources across wavelengths from optical to 24 microns?&lt;br /&gt;
&lt;br /&gt;
= Hints and Tips =&lt;br /&gt;
&lt;br /&gt;
Sh 2-187 has Spitzer data in SEIP but not GLIMPSE. Sh 2-192 has data in GLIMPSE but not SEIP (so you need to go to IRSA Viewer to find it).&lt;br /&gt;
&lt;br /&gt;
Both of them have tiles too small in 2MASS to cover the whole 20 arcmin. If you want a bigger 2MASS tile, you need to go to IRSA Viewer and use 6 degree, not 6x.&lt;br /&gt;
&lt;br /&gt;
Align and lock by position in Finder Chart is on by default, but it isn't in IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
PanSTARRS images: https://ps1images.stsci.edu/cgi-bin/ps1cutouts&lt;br /&gt;
&lt;br /&gt;
IPHAS images: https://www.iphas.org/images/ &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13880</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13880"/>
		<updated>2023-04-23T15:51:53Z</updated>

		<summary type="html">&lt;p&gt;Rebull: /* Getting started on filling out that table */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance https://youtu.be/Y5DEo6amN44 but it is totally silent because I’m in my mom’s room at the nursing facility and she is dozing.&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| IPHAS || 0.62-0.77 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || || ''(varies a lot over the bands; you can just pick 1 or 2)''&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE. (columns 3 and 4 for for three rows)&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows).&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can&lt;br /&gt;
&lt;br /&gt;
'''Read the stuff below before you try to fill out this table!''' &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. (arcseconds per pixel to be precise!) If you are finding numbers in degrees or arcMINUTES per pixel, convert the units! 60 arcseconds to an arcminute, and 60 arcminutes to a degree.&lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for each survey? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.)&lt;br /&gt;
&lt;br /&gt;
=Backing out to the bigger picture again=&lt;br /&gt;
&lt;br /&gt;
Do you notice any trends of resolution with wavelength?&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many catalogs and papers list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
Sh 2-187: Why is it that the &amp;quot;blue clusters&amp;quot; are easier to find in Spitzer data than WISE data?&lt;br /&gt;
&lt;br /&gt;
Sh 2-192: Why is it that the source right at the position of Sh 2-192 gets suddenly much larger at 22 um? Is that resolution or astrophysics?&lt;br /&gt;
&lt;br /&gt;
How is all of this going to affect our ability to match sources across wavelengths from optical to 24 microns?&lt;br /&gt;
&lt;br /&gt;
= Hints and Tips =&lt;br /&gt;
&lt;br /&gt;
Sh 2-187 has Spitzer data in SEIP but not GLIMPSE. Sh 2-192 has data in GLIMPSE but not SEIP (so you need to go to IRSA Viewer to find it).&lt;br /&gt;
&lt;br /&gt;
Both of them have tiles too small in 2MASS to cover the whole 20 arcmin. If you want a bigger 2MASS tile, you need to go to IRSA Viewer and use 6 degree, not 6x.&lt;br /&gt;
&lt;br /&gt;
Align and lock by position in Finder Chart is on by default, but it isn't in IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
PanSTARRS images: https://ps1images.stsci.edu/cgi-bin/ps1cutouts&lt;br /&gt;
&lt;br /&gt;
IPHAS images: https://www.iphas.org/images/ &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13879</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13879"/>
		<updated>2023-04-23T15:50:04Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance https://youtu.be/Y5DEo6amN44 but it is totally silent because I’m in my mom’s room at the nursing facility and she is dozing.&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| IPHAS || 0.62-0.77 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || || ''(varies a lot over the bands; you can just pick 1 or 2)''&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE. (columns 3 and 4 for for three rows)&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows).&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can&lt;br /&gt;
&lt;br /&gt;
'''Read the stuff below before you try to fill out this table!''' &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. &lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for each survey? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.) &lt;br /&gt;
&lt;br /&gt;
=Backing out to the bigger picture again=&lt;br /&gt;
&lt;br /&gt;
Do you notice any trends of resolution with wavelength?&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many catalogs and papers list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
Sh 2-187: Why is it that the &amp;quot;blue clusters&amp;quot; are easier to find in Spitzer data than WISE data?&lt;br /&gt;
&lt;br /&gt;
Sh 2-192: Why is it that the source right at the position of Sh 2-192 gets suddenly much larger at 22 um? Is that resolution or astrophysics?&lt;br /&gt;
&lt;br /&gt;
How is all of this going to affect our ability to match sources across wavelengths from optical to 24 microns?&lt;br /&gt;
&lt;br /&gt;
= Hints and Tips =&lt;br /&gt;
&lt;br /&gt;
Sh 2-187 has Spitzer data in SEIP but not GLIMPSE. Sh 2-192 has data in GLIMPSE but not SEIP (so you need to go to IRSA Viewer to find it).&lt;br /&gt;
&lt;br /&gt;
Both of them have tiles too small in 2MASS to cover the whole 20 arcmin. If you want a bigger 2MASS tile, you need to go to IRSA Viewer and use 6 degree, not 6x.&lt;br /&gt;
&lt;br /&gt;
Align and lock by position in Finder Chart is on by default, but it isn't in IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
PanSTARRS images: https://ps1images.stsci.edu/cgi-bin/ps1cutouts&lt;br /&gt;
&lt;br /&gt;
IPHAS images: https://www.iphas.org/images/ &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13878</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13878"/>
		<updated>2023-04-22T17:06:47Z</updated>

		<summary type="html">&lt;p&gt;Rebull: /* Backing out to the bigger picture again */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance https://youtu.be/Y5DEo6amN44 but it is totally silent because I’m in my mom’s room at the nursing facility and she is dozing.&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| IPHAS || 0.62-0.77 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || || ''(varies a lot over the bands; you can just pick 1 or 2)''&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE. (columns 3 and 4 for for three rows)&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows).&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can! &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. &lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for each survey? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.) &lt;br /&gt;
&lt;br /&gt;
=Backing out to the bigger picture again=&lt;br /&gt;
&lt;br /&gt;
Do you notice any trends of resolution with wavelength?&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many catalogs and papers list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
Sh 2-187: Why is it that the &amp;quot;blue clusters&amp;quot; are easier to find in Spitzer data than WISE data?&lt;br /&gt;
&lt;br /&gt;
Sh 2-192: Why is it that the source right at the position of Sh 2-192 gets suddenly much larger at 22 um? Is that resolution or astrophysics?&lt;br /&gt;
&lt;br /&gt;
How is all of this going to affect our ability to match sources across wavelengths from optical to 24 microns?&lt;br /&gt;
&lt;br /&gt;
= Hints and Tips =&lt;br /&gt;
&lt;br /&gt;
Sh 2-187 has Spitzer data in SEIP but not GLIMPSE. Sh 2-192 has data in GLIMPSE but not SEIP (so you need to go to IRSA Viewer to find it).&lt;br /&gt;
&lt;br /&gt;
Both of them have tiles too small in 2MASS to cover the whole 20 arcmin. If you want a bigger 2MASS tile, you need to go to IRSA Viewer and use 6 degree, not 6x.&lt;br /&gt;
&lt;br /&gt;
Align and lock by position in Finder Chart is on by default, but it isn't in IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
PanSTARRS images: https://ps1images.stsci.edu/cgi-bin/ps1cutouts&lt;br /&gt;
&lt;br /&gt;
IPHAS images: https://www.iphas.org/images/ &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13877</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13877"/>
		<updated>2023-04-22T17:06:21Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance https://youtu.be/Y5DEo6amN44 but it is totally silent because I’m in my mom’s room at the nursing facility and she is dozing.&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| IPHAS || 0.62-0.77 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || || ''(varies a lot over the bands; you can just pick 1 or 2)''&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE. (columns 3 and 4 for for three rows)&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows).&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can! &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. &lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for each survey? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.) &lt;br /&gt;
&lt;br /&gt;
=Backing out to the bigger picture again=&lt;br /&gt;
&lt;br /&gt;
Do you notice any trends of resolution with wavelength?&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many of the catalogs and papers that we have list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
Sh 2-187: Why is it that the &amp;quot;blue clusters&amp;quot; are easier to find in Spitzer data than WISE data?&lt;br /&gt;
&lt;br /&gt;
Sh 2-192: Why is it that the source right at the position of Sh 2-192 gets suddenly much larger at 22 um? Is that resolution or astrophysics?&lt;br /&gt;
&lt;br /&gt;
How is all of this going to affect our ability to match sources across wavelengths from optical to 24 microns?&lt;br /&gt;
&lt;br /&gt;
= Hints and Tips =&lt;br /&gt;
&lt;br /&gt;
Sh 2-187 has Spitzer data in SEIP but not GLIMPSE. Sh 2-192 has data in GLIMPSE but not SEIP (so you need to go to IRSA Viewer to find it).&lt;br /&gt;
&lt;br /&gt;
Both of them have tiles too small in 2MASS to cover the whole 20 arcmin. If you want a bigger 2MASS tile, you need to go to IRSA Viewer and use 6 degree, not 6x.&lt;br /&gt;
&lt;br /&gt;
Align and lock by position in Finder Chart is on by default, but it isn't in IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
PanSTARRS images: https://ps1images.stsci.edu/cgi-bin/ps1cutouts&lt;br /&gt;
&lt;br /&gt;
IPHAS images: https://www.iphas.org/images/ &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13876</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13876"/>
		<updated>2023-04-22T17:02:28Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance https://youtu.be/Y5DEo6amN44 but it is totally silent because I’m in my mom’s room at the nursing facility and she is dozing.&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| IPHAS || 0.62-0.77 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || || ''(varies a lot over the bands; you can just pick 1 or 2)''&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE. (columns 3 and 4 for for three rows)&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows).&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can! &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. &lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for each survey? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.) &lt;br /&gt;
&lt;br /&gt;
=Backing out to the bigger picture again=&lt;br /&gt;
&lt;br /&gt;
Do you notice any trends of resolution with wavelength?&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many of the catalogs and papers that we have list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
Sh 2-187: Why is it that the &amp;quot;blue clusters&amp;quot; are easier to find in Spitzer data than WISE data?&lt;br /&gt;
&lt;br /&gt;
Sh 2-192: Why is it that the source right at the position of Sh 2-192 gets suddenly much larger at 22 um? Is that resolution or astrophysics?&lt;br /&gt;
&lt;br /&gt;
= Hints and Tips =&lt;br /&gt;
&lt;br /&gt;
Sh 2-187 has Spitzer data in SEIP but not GLIMPSE. Sh 2-192 has data in GLIMPSE but not SEIP (so you need to go to IRSA Viewer to find it).&lt;br /&gt;
&lt;br /&gt;
Both of them have tiles too small in 2MASS to cover the whole 20 arcmin. If you want a bigger 2MASS tile, you need to go to IRSA Viewer and use 6 degree, not 6x.&lt;br /&gt;
&lt;br /&gt;
Align and lock by position in Finder Chart is on by default, but it isn't in IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
PanSTARRS images: https://ps1images.stsci.edu/cgi-bin/ps1cutouts&lt;br /&gt;
&lt;br /&gt;
IPHAS images: https://www.iphas.org/images/ &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13875</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13875"/>
		<updated>2023-04-22T16:33:11Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance. &lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| IPHAS || 0.62-0.77 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || || ''(varies a lot over the bands; you can just pick 1 or 2)''&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE. (columns 3 and 4 for for three rows)&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows).&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can! &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. &lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for each survey? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.) &lt;br /&gt;
&lt;br /&gt;
=Backing out to the bigger picture again=&lt;br /&gt;
&lt;br /&gt;
Do you notice any trends of resolution with wavelength?&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many of the catalogs and papers that we have list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
Sh 2-187: Why is it that the &amp;quot;blue clusters&amp;quot; are easier to find in Spitzer data than WISE data?&lt;br /&gt;
&lt;br /&gt;
Sh 2-192: Why is it that the source right at the position of Sh 2-192 gets suddenly much larger at 22 um? Is that resolution or astrophysics?&lt;br /&gt;
&lt;br /&gt;
= Hints and Tips =&lt;br /&gt;
&lt;br /&gt;
Sh 2-187 has Spitzer data in SEIP but not GLIMPSE. Sh 2-192 has data in GLIMPSE but not SEIP (so you need to go to IRSA Viewer to find it).&lt;br /&gt;
&lt;br /&gt;
Both of them have tiles too small in 2MASS to cover the whole 20 arcmin. If you want a bigger 2MASS tile, you need to go to IRSA Viewer and use 6 degree, not 6x.&lt;br /&gt;
&lt;br /&gt;
Align and lock by position in Finder Chart is on by default, but it isn't in IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
PanSTARRS images: https://ps1images.stsci.edu/cgi-bin/ps1cutouts&lt;br /&gt;
&lt;br /&gt;
IPHAS images: https://www.iphas.org/images/ &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13874</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13874"/>
		<updated>2023-04-22T16:27:56Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance. &lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| IPHAS || 0.62-0.77 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || || ''(varies a lot over the bands; you can just pick 1 or 2)''&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE. (columns 3 and 4 for for three rows)&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows).&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can! &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. &lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for each survey? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.) &lt;br /&gt;
&lt;br /&gt;
=Backing out to the bigger picture again=&lt;br /&gt;
&lt;br /&gt;
Do you notice any trends of resolution with wavelength?&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many of the catalogs and papers that we have list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
Sh 2-187: Why is it that the &amp;quot;blue clusters&amp;quot; are easier to find in Spitzer data than WISE data?&lt;br /&gt;
&lt;br /&gt;
Sh 2-192: Why is it that the source right at the position of Sh 2-192 gets suddenly much larger at 22 um? Is that resolution or astrophysics?&lt;br /&gt;
&lt;br /&gt;
= Hints and Tips =&lt;br /&gt;
&lt;br /&gt;
Sh 2-187 has Spitzer data in SEIP but not GLIMPSE. Sh 2-192 has data in GLIMPSE but not SEIP (so you need to go to IRSA Viewer to find it).&lt;br /&gt;
&lt;br /&gt;
Both of them have tiles too small in 2MASS to cover the whole 20 arcmin. If you want a bigger 2MASS tile, you need to go to IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
Align and lock by position in Finder Chart is on by default, but it isn't in IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
PanSTARRS images: https://ps1images.stsci.edu/cgi-bin/ps1cutouts&lt;br /&gt;
&lt;br /&gt;
IPHAS images: https://www.iphas.org/images/ &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13873</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13873"/>
		<updated>2023-04-22T16:22:32Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance. &lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || || ''(varies a lot over the bands; you can just pick 1 or 2)''&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE. (columns 3 and 4 for for three rows)&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows).&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can! &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. &lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for each survey? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.) &lt;br /&gt;
&lt;br /&gt;
=Backing out to the bigger picture again=&lt;br /&gt;
&lt;br /&gt;
Do you notice any trends of resolution with wavelength?&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many of the catalogs and papers that we have list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
Sh 2-187: Why is it that the &amp;quot;blue clusters&amp;quot; are easier to find in Spitzer data than WISE data?&lt;br /&gt;
&lt;br /&gt;
Sh 2-192: Why is it that the source right at the position of Sh 2-192 gets suddenly much larger at 22 um? Is that resolution or astrophysics?&lt;br /&gt;
&lt;br /&gt;
= Hints and Tips =&lt;br /&gt;
&lt;br /&gt;
Sh 2-187 has Spitzer data in SEIP but not GLIMPSE. Sh 2-192 has data in GLIMPSE but not SEIP (so you need to go to IRSA Viewer to find it).&lt;br /&gt;
&lt;br /&gt;
Both of them have tiles too small in 2MASS to cover the whole 20 arcmin. If you want a bigger 2MASS tile, you need to go to IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
Align and lock by position in Finder Chart is on by default, but it isn't in IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13872</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13872"/>
		<updated>2023-04-22T16:21:55Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance. &lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE. (columns 3 and 4 for for three rows)&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows).&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can! &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. &lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for each survey? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.) &lt;br /&gt;
&lt;br /&gt;
=Backing out to the bigger picture again=&lt;br /&gt;
&lt;br /&gt;
Do you notice any trends of resolution with wavelength?&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many of the catalogs and papers that we have list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
Sh 2-187: Why is it that the &amp;quot;blue clusters&amp;quot; are easier to find in Spitzer data than WISE data?&lt;br /&gt;
&lt;br /&gt;
Sh 2-192: Why is it that the source right at the position of Sh 2-192 gets suddenly much larger at 22 um? Is that resolution or astrophysics?&lt;br /&gt;
&lt;br /&gt;
= Hints and Tips =&lt;br /&gt;
&lt;br /&gt;
Sh 2-187 has Spitzer data in SEIP but not GLIMPSE. Sh 2-192 has data in GLIMPSE but not SEIP (so you need to go to IRSA Viewer to find it).&lt;br /&gt;
&lt;br /&gt;
Both of them have tiles too small in 2MASS to cover the whole 20 arcmin. If you want a bigger 2MASS tile, you need to go to IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
Align and lock by position in Finder Chart is on by default, but it isn't in IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13871</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13871"/>
		<updated>2023-04-22T16:21:24Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance. &lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE. (columns 3 and 4 for for three rows)&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows).&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can! &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. &lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for each survey? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.) &lt;br /&gt;
&lt;br /&gt;
=Backing out to the bigger picture again=&lt;br /&gt;
&lt;br /&gt;
Do you notice any trends of resolution with wavelength?&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many of the catalogs and papers that we have list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
Sh 2-187: Why is it that the &amp;quot;blue clusters&amp;quot; are easier to find in Spitzer data than WISE data?&lt;br /&gt;
&lt;br /&gt;
Sh 2-192: Why is it that the source right at the position of Sh 2-192 gets suddenly much larger at 22 um? Is that resolution or astrophysics?&lt;br /&gt;
&lt;br /&gt;
= Hints and Tips =&lt;br /&gt;
&lt;br /&gt;
Sh 2-187 has Spitzer data in SEIP but not GLIMPSE. Sh 2-192 has data in GLIMPSE but not SEIP (so you need to go to IRSA Viewer to find it).&lt;br /&gt;
&lt;br /&gt;
Both of them have tiles too small in 2MASS to cover the whole 20 arcmin. If you want a bigger 2MASS tile, you need to go to IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
Align and lock by position in Finder Chart is on by default, but it isn't in IRSA Viewer.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13870</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13870"/>
		<updated>2023-04-22T16:17:09Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance. &lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE. (columns 3 and 4 for for three rows)&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows).&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can! &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. &lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for each survey? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.) &lt;br /&gt;
&lt;br /&gt;
=Backing out to the bigger picture again=&lt;br /&gt;
&lt;br /&gt;
Do you notice any trends of resolution with wavelength?&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many of the catalogs and papers that we have list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
Why is it that the &amp;quot;blue clusters&amp;quot; are easier to find in Spitzer data than WISE data?&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13869</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13869"/>
		<updated>2023-04-22T16:15:55Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance. &lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE. (columns 3 and 4 for for three rows)&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (column four, three rows).&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can! &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution.&lt;br /&gt;
&lt;br /&gt;
'''What does &amp;quot;spatial resolution&amp;quot; mean?''' ''How close together can two sources in the image be before your eye or even the computer can no longer distinguish them as two separate sources?'' If the spatial resolution is poor, then two sources don't have to be very close together before the telescope sees them as just one source. The spatial resolution of a telescope is set in part by the size of the mirror and the wavelength of light being used. The combination of these things also tends to set the size of the pixels used in the camera. If your telescope+wavelength tells you that you are expecting a resolution of ~4 arcseconds, then there is no point in paying for a detector with 0.3 arcsecond pixels -- usually astronomers need a source to affect at minimum 2 pixels, preferably at least 3, before we believe a detection. So a spatial resolution of ~4 arcsec and 0.3 arcsec px would be ~13 pixels for a source, and that's just not necessary. (This is also why I'm having you explore pixel sizes as well as spatial resolution below.)&lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
Column three is all documentation, most of which can be found at IRSA. Google!! :) &amp;quot;spatial resolution of 2MASS&amp;quot;, etc. You should be finding numbers in units of arcseconds. &lt;br /&gt;
&lt;br /&gt;
Column four means you need to start pulling images. Finder Chart. IRSA Viewer. Sh 2-192 and Sh 2-187 over 20 arcminutes.&lt;br /&gt;
&lt;br /&gt;
What is the size of each pixel for each survey? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For at least one frame from each of the surveys you want to work with, go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. That's your empirical spatial resolution for the table above. Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things; it is also going to change the apparent size of the sources! (It is going to be hard to find 'typical' in IRAS if you want to work with those data; do what you can.) &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
The IAU-compliant names of sources are based on positions. Many of the catalogs and papers that we have list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13868</id>
		<title>Measuring Resolutions (2023)</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_Resolutions_(2023)&amp;diff=13868"/>
		<updated>2023-04-22T16:03:55Z</updated>

		<summary type="html">&lt;p&gt;Rebull: Created page with &amp;quot;Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fi...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Since spatial resolution issues are going to be important for our work, let’s explore what spatial resolutions we have in our data. The first goal of this worksheet is to fill out the following table. The second goal is to apply that knowledge to two of our objects (see below). I have made a movie with sort of QuickStart guidance. &lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Data source !! Wavelengths !! Reported spatial resolution !! Empirical spatial resolution&lt;br /&gt;
|-&lt;br /&gt;
| PanSTARRS || 0.48-0.96 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Gaia || 0.622-0.777 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| 2MASS || 1.2-2.2 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| WISE || 3.5-22 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/IRAC || 3.5-8 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Spitzer/MIPS || 24 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/PACS || 70-160 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Herschel/SPIRE || 250-500 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| Akari/IRC || 9-18 um || || ''(no images released so can't do this)''&lt;br /&gt;
|-&lt;br /&gt;
| MSX || 7.8-21 um || ||&lt;br /&gt;
|-&lt;br /&gt;
| IRAS || 12-100 um || ||&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
* Minimum expectations: look up the reported resolution for, and empirically find the spatial resolution of, 2MASS, Spitzer/IRAC, and WISE. (columns 3 and 4 for for three rows)&lt;br /&gt;
* Meets expectations: look up the reported resolution for everything (all of column 3) and empirically find the spatial resolution of 2MASS, Spitzer/IRAC, and WISE (three rows).&lt;br /&gt;
* Exceeds expectations: fill out as many cells as you can! &lt;br /&gt;
&lt;br /&gt;
=Background motivation=&lt;br /&gt;
&lt;br /&gt;
Use Finder Chart to pull up images of Sh 2-192 and Sh 2-187 over 20 arcminutes. Click on the '3color' button to make a color image at the end of each row. For both of these targets, zoom in a bit and really start to look at the point sources (the stars, as opposed to the diffuse fluffy stuff) in each of these images. Are they the same apparent size in each of the images? Are there the same numbers of sources in each of the images? (Some of the differences are due to resolution and some of this is astrophysics!) Look at the blue cluster (one of our stated goals) in Sh 2-187. Does it look different across the bands in Finder Chart? This is why we are thinking about these issues of spatial resolution .  &lt;br /&gt;
&lt;br /&gt;
You may wish to have both a Finder Chart session and an IRSA Viewer session on these targets to pull all the images you need for this work. Some of the images you need above (depending on how much you want to do) aren't available in IRSA tools. &lt;br /&gt;
&lt;br /&gt;
=Getting started on filling out that table=&lt;br /&gt;
&lt;br /&gt;
In order to fill out that table, you need to explore both documentation and the images themselves. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Q1.1 : Retrieve images of our area. For the images that it returns, what is the size of each pixel for each survey? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
Q1.2 : You will need to Google for this one. What is the original native pixel size for these surveys? Finder Chart gives you images that come straight from the original surveys, so they should match the original native pixel size for each survey. &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Q1.4 : Did you do the calculations right? Here's how to check. Look at the sources in the 2MASS image you retrieved from Finder Chart (which you know is native px size) and compare it to the sources in the image you retrieved from Skyview. Have you lost information? (To see what this looks like, try to make it lose information deliberately by asking for much larger pixels.) &lt;br /&gt;
&lt;br /&gt;
Q1.5 : Skyview attempts to knit tiles together, but sometimes you can see the original tile boundaries, and it looks like a patchwork quilt. Do you see this here? &lt;br /&gt;
&lt;br /&gt;
Q1.6 : For at least one frame from each of a few of the surveys we picked, from either your Finder Chart or Skyview images (assuming you are confident you have native pixel resolution), go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. What kinds of sizes are you getting for each survey? (It is going to be hard to find 'typical' in IRAS; do what you can.) Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things.&lt;br /&gt;
&lt;br /&gt;
Skyview won't give you Spitzer images, because Spitzer isn't an all-sky survey. But there are lots of large images available at IRSA from Spitzer. SEIP = Spitzer Enhanced Imaging Products, but this too works in tiles, and the request you give Finder Chart or IRSA Viewer may run off the edges of some of those tiles. There are data there, just not in the tile that the IRSA tools may be pulling for you.  To find individual sources in regions off the tile it gives you, ask for a smaller region.&lt;br /&gt;
&lt;br /&gt;
Q1.7: The IAU-compliant names of sources are based on positions. Many of the catalogs and papers that we have list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
(e.g., these are the &amp;quot;Lego bricks&amp;quot; to go investigate in order to build this &amp;quot;Lego kit.&amp;quot;)&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[All ds9 information in one place]]&lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_resolutions&amp;diff=13867</id>
		<title>Measuring resolutions</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Measuring_resolutions&amp;diff=13867"/>
		<updated>2023-04-22T15:42:24Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;[[Measuring Resolutions (2023)]]&lt;br /&gt;
&lt;br /&gt;
Since resolution issues are going to be more important to us in the infrared, let’s focus on those bands for most of our by-hand (as opposed to by-Google) work. For the M8 (Lagoon Nebula) project, our infrared (through submm) inventory is:&lt;br /&gt;
*2MASS&lt;br /&gt;
*Spitzer (SEIP, GLIMPSE)&lt;br /&gt;
*WISE&lt;br /&gt;
*SCUBA (partial coverage)&lt;br /&gt;
*Herschel (partial coverage)&lt;br /&gt;
*AKARI (only have images for FIS, not IRC)&lt;br /&gt;
*MSX&lt;br /&gt;
*IRAS&lt;br /&gt;
&lt;br /&gt;
You should aim for, at minimum, empirically finding the resolution of 2MASS, Spitzer, and WISE.  Use Finder Chart (or IRSA Viewer) to retrieve images of our region from at least 2MASS, Spitzer, and WISE. (If you want to do more, you will need also to use IRSA Viewer, rather than just Finder Chart.) &lt;br /&gt;
&lt;br /&gt;
Q1.1 : Retrieve images of our area. For the images that it returns, what is the size of each pixel for each survey? (Option #1 to do this: Make the image big enough in your view of it that you can see pixels, and measure the size of it using ruler tools (not a real ruler). Option #2 to do this: look in the FITS header and find a useful keyword.) Try at least one image from each of the surveys. &lt;br /&gt;
&lt;br /&gt;
Q1.2 : You will need to Google for this one. What is the original native pixel size for these surveys? Finder Chart gives you images that come straight from the original surveys, so they should match the original native pixel size for each survey. &lt;br /&gt;
&lt;br /&gt;
Q1.3 : Are there any images you've retrieved that have “run off the edge” of a stored tile? (Hint: yes.) Which ones? &lt;br /&gt;
For the surveys where you have run off the tile rather dramatically (at least 2MASS), you can use Skyview to get a larger image. The four most important parameter choices Skyview gives you are:&lt;br /&gt;
*center position &lt;br /&gt;
*survey (wavelength) &lt;br /&gt;
*image size in pixels &lt;br /&gt;
*image size in degrees &lt;br /&gt;
Skyview will happily and without complaint or warning resample and regrid the pixels to whatever scale you want. What do you need to do to get ‘native pixel’ resolution out of Skyview? You should have the information from earlier questions to figure out how many pixels you need to cover our region, so go and do the math, and ask Skyview to give you a full-sized image of your desired size. Note that you can request more than one survey at a time, but Skyview will use the same parameters for each of them.  Alternatively, you can use IRSA Viewer to request 2MASS images from the 6 degree (note 6d not 6x) images.&lt;br /&gt;
&lt;br /&gt;
Q1.4 : Did you do the calculations right? Here's how to check. Look at the sources in the 2MASS image you retrieved from Finder Chart (which you know is native px size) and compare it to the sources in the image you retrieved from Skyview. Have you lost information? (To see what this looks like, try to make it lose information deliberately by asking for much larger pixels.) &lt;br /&gt;
&lt;br /&gt;
Q1.5 : Skyview attempts to knit tiles together, but sometimes you can see the original tile boundaries, and it looks like a patchwork quilt. Do you see this here? &lt;br /&gt;
&lt;br /&gt;
Q1.6 : For at least one frame from each of a few of the surveys we picked, from either your Finder Chart or Skyview images (assuming you are confident you have native pixel resolution), go and measure the sizes of 3 to 5 ‘typical’ isolated point sources in these images. What kinds of sizes are you getting for each survey? (It is going to be hard to find 'typical' in IRAS; do what you can.) Changing the color table/stretch is useful for telling if the image is slightly asymmetric (implying a barely resolved companion) or saturated or other things.&lt;br /&gt;
&lt;br /&gt;
Skyview won't give you Spitzer images, because Spitzer isn't an all-sky survey. But there are lots of large images available at IRSA from Spitzer. SEIP = Spitzer Enhanced Imaging Products, but this too works in tiles, and the request you give Finder Chart or IRSA Viewer may run off the edges of some of those tiles. There are data there, just not in the tile that the IRSA tools may be pulling for you.  To find individual sources in regions off the tile it gives you, ask for a smaller region.&lt;br /&gt;
&lt;br /&gt;
Q1.7: The IAU-compliant names of sources are based on positions. Many of the catalogs and papers that we have list some sort of unique ID within the survey, but its ‘real’ name is the position-based name, which is typically included in the catalogs if not all the journal articles (the journal articles are supposed to use position-based names, but they don’t always).  People often assign and use internal source IDs in papers because it’s easier to say “source 346” in conversations with collaborators rather than the full phone number that might look like 18033652-2423108.  But, why is it that IRAS sources are given as, e.g., &amp;quot;IRAS 18006-2422&amp;quot; and 2MASS sources are given as, e.g., “2MASS 18033652-2423108”?&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
(e.g., these are the &amp;quot;Lego bricks&amp;quot; to go investigate in order to build this &amp;quot;Lego kit.&amp;quot;)&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[All ds9 information in one place]]&lt;br /&gt;
*[[Overview of measuring distances]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Studying_Young_Stars&amp;diff=13866</id>
		<title>Studying Young Stars</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Studying_Young_Stars&amp;diff=13866"/>
		<updated>2023-03-23T22:21:40Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;=Why should anyone care about young stars?=&lt;br /&gt;
*Understanding star formation includes understanding how planets form, including planets like Earth.&lt;br /&gt;
*Star formation is the &amp;quot;happening field&amp;quot; right now!  TONS of new discoveries happening all the time, many driven by Spitzer.&lt;br /&gt;
*A friend who is the author of a popular college textbook told me that the chapter that she revises most frequently (particularly recently) in response to new developments is the star formation chapter. &lt;br /&gt;
*By doing this project, you are participating in the revolution!&lt;br /&gt;
&lt;br /&gt;
=Young stars in general: Introduction to (low-mass) star formation=&lt;br /&gt;
&lt;br /&gt;
''Also see this [http://coolcosmos.ipac.caltech.edu/resources/star_formation/ longer somewhat more technical intro to star formation], which I wrote for Cool Cosmos.  https://web.ipac.caltech.edu/staff/rebull/starform/ This content too is the &amp;quot;story of star formation&amp;quot; if that cool cosmos link is dead. ''&lt;br /&gt;
&lt;br /&gt;
==Overview==&lt;br /&gt;
&lt;br /&gt;
{| cellpadding=&amp;quot;1&amp;quot;&lt;br /&gt;
| [[Image:starformationcartoon.png]] &lt;br /&gt;
|''Cartoon from Greene, American Scientist, Jul-Aug 2001''&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
Stars begin their lives in a cloud of gas and dust (a nebula). Gravitational forces cause the nebula to start to condense (shrink). (a, b)&lt;br /&gt;
&lt;br /&gt;
As the nebula shrinks, like a spinning skater pulling in her arms, it begins to spin more rapidly.  The same physics (&amp;quot;conservation of angular momentum&amp;quot;) means that the dust and gas in the nebula doesn't fall straight into the center; it falls onto a disk surrounding the central object, and from the disk, the matter falls onto the central object.  The temperature at the center of the shrinking nebula rises due to increasing pressure and friction between the particles.  The figure has this stage labeled as a &amp;quot;protostar&amp;quot;, but for some astronomers, beginning at this stage, and until the star starts to turn H into He the object is still called a protostar. Since the protostar is still embedded in a thick cloud of gas and dust, it can't be detected in the optical. (c)  &lt;br /&gt;
&lt;br /&gt;
When the protostar enters the next stage, labeled in the figure as the T Tauri stage, it’s still gaining mass and contracting slowly because material is still falling onto it, but it begins to eject gas in two giant gas jets, called bipolar flows. These jets and stellar winds eventually sweep away the envelope of gas still surrounding the protostar. In the surrounding disk protoplanets are beginning to form. (d)  &lt;br /&gt;
&lt;br /&gt;
Leftover material in the disk surrounding the star clumps together and undergoes many collisions until most of the material has been swept up by objects orbiting the star, such as planets, asteroids and comets. (e)&lt;br /&gt;
&lt;br /&gt;
The star’s life so far has been governed by the continuous inward pressure of gravity. The gravitational pressure keeps compressing the gas into a smaller and smaller volume, making it hotter and hotter in the core. As soon as the temperature in the core of the protostar becomes great enough, nuclear fusion begins.  When this nuclear fusion begins, finally the star has a way to &amp;quot;fight back&amp;quot; against gravity. So much energy is released in this reaction that it enables the star to &amp;quot;push back&amp;quot; with an outward radiation pressure that balances the inward push of gravity. The protostar is now a full-fledged star, fusing hydrogen into helium in its core. (f) The star will stay the same size until it runs out of nuclear fuel in the core (all of the hydrogen has been converted into helium). Then, the pressure from gravity takes over again, pushing in on the star.&lt;br /&gt;
&lt;br /&gt;
'''Movies!''' -- The sequence of star formation described above can also be visualized with some movies (ARTIST CONCEPTIONS!) created by the Spitzer public affairs group.  First [http://coolcosmos.ipac.caltech.edu/resources/star_formation/index.html#flash_video_player_01 form grains in the disk] (note that the grains are distinctly green because they are olivine, like green sand beaches in Hawaii, and the grains get covered in ice).  Then [http://coolcosmos.ipac.caltech.edu/resources/star_formation/index.html#flash_video_player_02 form a planet that clears a gap in the disk].  Next,&lt;br /&gt;
[http://coolcosmos.ipac.caltech.edu/resources/star_formation/index.html#flash_video_player_03 this is what happens when you form many planets at once] - there are many gaps formed at once. (Where else in the Solar System have you seen this physics before? [http://saturn.jpl.nasa.gov/multimedia/images/raw/raw-images-details.cfm?feiImageID=112884 stumped?]) Of course, it can get crowded in these protoplanetary disks, so [http://coolcosmos.ipac.caltech.edu/resources/star_formation/index.html#flash_video_player_04 occasionally stuff hits each other], creating a second generation of dust.  When this happens, [http://coolcosmos.ipac.caltech.edu/resources/star_formation/index.html#flash_video_player_05 the dust gets smeared out into a ring], and there can be many collisions that create transient dust, e.g., dust that comes and goes depending on when you look.  Finally, [http://coolcosmos.ipac.caltech.edu/resources/star_formation/index.html#flash_video_player_07 you end up with a fully-fledged planetary system], but you have the remnants of the protoplanetary disk left in the outer reaches of the system.  (What do we call this in our Solar System? hint: not the asteroid belt.  out farther than that -- see in the movie, we go out well past a &amp;quot;jupiter&amp;quot;.)&lt;br /&gt;
&lt;br /&gt;
==More in depth, and SEDs==&lt;br /&gt;
The cartoon above is the version of this information that is appropriate for an &amp;quot;educated person from the general public.&amp;quot;  Now, let's look at this same story again, but using the kinds of plots and information used by professional astronomers.&lt;br /&gt;
&lt;br /&gt;
A spectral energy distribution (SED) is a graph of the energy emitted by an object (any object) as a function of different wavelengths.  ([[SED_plots | Read more about SEDs here]].)  There are some example SEDs of young stellar objects below.  Astronomers originally used the slope of the SEDs for protostars between about 2 and 20 microns quite literally to '''define''' different classes.  (This is similar to the process that astronomers such as [http://en.wikipedia.org/wiki/Annie_Jump_Cannon Annie Jump Cannon] followed when they originally classified stars -- astronomers start by putting similar objects together, and through this process, eventually deeper physical understanding follows.  I say ''eventually'', because, sure, initially you might put the zebras and the tigers together because they're both stripey, but eventually you'll notice their feet are different, as is what they eat, and you'll put them in separate bins.)  These stages that were defined based on the SED slope are dubbed Class I, II, and III.  As we learned more, we created another class called &amp;quot;flat&amp;quot; between Class I and II.  The very earliest stages, ones where there are no 2 micron observations at all, are the Class 0s.  These classifications more or less match up to the overall sequence of events described by the cartoon above.&lt;br /&gt;
&lt;br /&gt;
{| cellpadding=&amp;quot;2&amp;quot; &lt;br /&gt;
| [[Image:class0.png]]	&lt;br /&gt;
| This SED corresponds to the earliest, most embedded phase, called Class 0.  The x-axis is wavelength, and the y-axis is energy.   It looks like a cold black body; all of the emission comes from the dust and gas in the cloud. The mass of the envelope surrounding the star is more than half a solar mass.  The age of the object is about 10,000 (&amp;lt;math&amp;gt;10^4&amp;lt;/math&amp;gt;) years. This is thought to be the main accretion phase, where most of the mass of the object is accreted from the cloud. &lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
{| cellpadding=&amp;quot;2&amp;quot;&lt;br /&gt;
| [[Image:classI.png]] &lt;br /&gt;
|This Class I SED is the next stage.  Now there is a warmer blackbody corresponding to the central object, but most of the energy is still coming from the dusty cocoon around the star (which is reprocessed emission from the central object).  The &amp;quot;bite&amp;quot; that is at about 10 microns tells us that there are silicates (beach sand) in the dust around the star.  About this time is when the rate of accretion slows.  The envelope is now about 0.1 Msun.  The age of the object is about &amp;lt;math&amp;gt;10^5&amp;lt;/math&amp;gt; years. (Note that there is now a Flat class between I and II -- see notes below.)&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
{| cellpadding=&amp;quot;2&amp;quot;&lt;br /&gt;
| [[Image:classII.png]] &lt;br /&gt;
|This Class II SED is also a kind of object also known as a young T Tauri (&amp;quot;Classical T Tauri&amp;quot;).  Most of the energy is coming from the central object (warm blackbody), but there is still emission from the disk, more than you'd expect from a plain blackbody; the disk is optically thick.  The disk mass now is very roughly 0.01 Msun.  The age of the object is about &amp;lt;math&amp;gt;10^6&amp;lt;/math&amp;gt; years.  &lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
{| cellpadding=&amp;quot;2&amp;quot;&lt;br /&gt;
| [[Image:classIII.png]] &lt;br /&gt;
|This SED is of the last stage, Class III; this is an older T Tauri (&amp;quot;Weak-Lined T Tauri&amp;quot;).  The protostar still has a little dust left around it, for just slightly more emission from the disk than you'd expect from a plain blackbody.  The disk now is optically thin.  The disk mass is very roughly 0.003 Msun. The object is about &amp;lt;math&amp;gt;10^7&amp;lt;/math&amp;gt; years old.&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
==Several important notes about this classification scheme==&lt;br /&gt;
*As the ages mentioned above suggest, this sequence of Class 0 to I to II to III is often interpreted as an age sequence, so a Class I object is younger than a Class II object, etc.  Some of the most recent evidence suggests that maybe the connection to age is not as secure as we have been thinking!  So let me just reiterate: the Class of each object is ''defined'' by the slope of the SED.  The physical interpretation of the classification definition is degree of embeddedness, e.g., Class 0s are still buried deep within their natal cloud, and Class IIIs have freed themselves.  '''The interpretation of the Class as an age may change.'''&lt;br /&gt;
*This process strictly only applies to low-mass stars.  High-mass stars might very well do this, only faster.  We just don’t know yet for sure.&lt;br /&gt;
*Class 0s are the the hardest to &amp;quot;catch in the act&amp;quot;, from which we infer that they are the shortest lived.   Not too long ago, the list of all of the Class 0s known could fit on one page.  Spitzer is changing that. Class Is are also being found by Spitzer in abundance.&lt;br /&gt;
*Class 0s used to be defined as &amp;quot;undetectable in IR.&amp;quot;  Even before Spitzer, deeper integrations forced a change in that definition.&lt;br /&gt;
*Although the story seems nice and well-defined, even before Spitzer, Class IIs and IIIs have been found at the same ages, e.g., some stars lose their disks very quickly, and some hold on to them for a long time.  Now with Spitzer, we're muddying the waters even more.&lt;br /&gt;
*(Also, although the story seems nice and well-defined, and it explains our Solar System nicely (with all the planets in the same plane, going the same direction, as they were in the disk that preceded them), we need to have theories to explain stuff like [http://blogs.discovermagazine.com/badastronomy/2010/05/24/nearby-planetary-system-is-seriously-screwed-up/ this] too.)&lt;br /&gt;
*A current major question in star formation is the how and why of this entire process.  &lt;br /&gt;
*It’s not clear whether Class 0s and Is are found at the same age – until very recently, too few of them were known, and getting an age for them is tough. &lt;br /&gt;
*[http://www.spitzer.caltech.edu/news/172-ssc2004-17-Astronomers-Discover-Planet-Building-Is-Big-Mess- This press release] talks about A stars, which are a little massive for Class 0/I/II/III, but the confusion in disk clearing timescales is vividly displayed there. &lt;br /&gt;
*We can be fooled!  You can imagine that a Class III that is edge-on might look like a Class II.  It could be that some things we think are the youngest protostars are actually just edge-on older things.  There are other things that could matter too - binarity, initial and current rotation rate, initial and current accretion rate, and more. All of this is also one of the current burning questions.&lt;br /&gt;
*Most people still use the series Class 0-I-II-III to mean a series of youngest to oldest, but it’s important to remember all of these uncertainties.&lt;br /&gt;
*Technically, there is also a &amp;quot;flat&amp;quot; class in between I and II because the SED is, well, flat. &lt;br /&gt;
&lt;br /&gt;
The details of the shape of the SED can tell us about the disk structure.  Dips and wiggles in the SED may suggest, e.g., that there is no (or little) dust near the star, just further out. (see [http://www.spitzer.caltech.edu/news/163-ssc2004-08-Raw-Ingredients-for-Life-Detected-in-Planetary-Construction-Zones this graphic from the SSC press release archive].)&lt;br /&gt;
&lt;br /&gt;
==Things to think about==&lt;br /&gt;
Why is it that in most of the teacher programs looking for young stars, we've found Class II or III objects? Why have we not found many stars with jets or Class 0 or I objects?   Hint: think about the lifetimes of these objects and statistical liklihoods.&lt;br /&gt;
&lt;br /&gt;
Nomenclature is a nightmare, as it is in so many parts of astronomy.  See http://lanl.arxiv.org/abs/0901.1691v1 for examples of real-life flailing around with the wording.&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Finding_cluster_members&amp;diff=13865</id>
		<title>Finding cluster members</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Finding_cluster_members&amp;diff=13865"/>
		<updated>2023-02-25T00:49:07Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;This document is also known as &amp;quot;Luisa’s Table of Characteristics of Young Stars for Determining Cluster Members&amp;quot;.&lt;br /&gt;
&lt;br /&gt;
=Introduction=&lt;br /&gt;
&lt;br /&gt;
[[Image:anatomy.gif|right]]&lt;br /&gt;
Whenever we study stellar clusters the question is: '''Which objects are the cluster members?'''  This is easier with young clusters than old because the young stars are noticeably different than older stars, so it is easier to distinguish the young cluster members from the surrounding interloper stars (foreground and background populations).  This process has a nice analogy with people too... when the IC 2118 teacher team came to visit the SSC, we all went out to lunch at a local Mexican place.  If someone who didn't know any of us walked into the restaurant while we were eating lunch, as a group of astronomers, we are (for the most part! ;) ) not distinctly different than the rest of the adults in there, so we’d be difficult to pick out as a distinct ‘cluster’ of people, especially while we weren’t all physically co-located -- some of us were in line, getting salsa, and/or at the table.  '''But''', if a group from a day care center had been there, it would have been immediately clearly obvious that the children were a group that was different than the rest of the people in the restaurant.  Moreover, the amount of time a human spends as a child is short compared to their entire lifetime, and so it is with stars.  You have to seek out the group of young stars/humans in order to study their development.&lt;br /&gt;
&lt;br /&gt;
Astronomers use as many of the following characteristics of young stars as possible to determine cluster membership, and we will do the same.  &lt;br /&gt;
&lt;br /&gt;
After reading this table, if you now go back and look at [http://adsabs.harvard.edu/abs/2004A%26A...418...89K Maria Kun’s original IC2118 papers], see how many of these items she’s listing in making her case that she’s found young stars in IC 2118.  I haven’t done this.  Have I missed any in the list below? &lt;br /&gt;
&lt;br /&gt;
Anatomy of a young star system (for reference) is to the right.&lt;br /&gt;
&lt;br /&gt;
''making more text solely for the purpose of getting better spacing.&lt;br /&gt;
&lt;br /&gt;
tra la la &lt;br /&gt;
&lt;br /&gt;
more spacing...''&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=The Table=&lt;br /&gt;
&lt;br /&gt;
{| border=&amp;quot;1&amp;quot;&lt;br /&gt;
|Characteristics &lt;br /&gt;
| Pros &lt;br /&gt;
| Cons&lt;br /&gt;
|-&lt;br /&gt;
|IR Excess &lt;br /&gt;
''(IR is emitted by circumstellar matter)'' &lt;br /&gt;
|&lt;br /&gt;
* Need a large field of view to efficiently study large parts of the sky at once&lt;br /&gt;
* Need Spitzer or WISE for mid- and far-IR work (in terms of wavelength coverage and efficiently covering large parts of the sky). (or, Herschel for far-IR.)&lt;br /&gt;
* In our case, we have the data already! (this is a BIG pro!!)&lt;br /&gt;
* Can find all of the stars with an infrared excess pretty straightforwardly.&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Padgett et al., “[http://adsabs.harvard.edu/abs/2004ApJS..154..433P An Aggregate of Young Stellar Disks in Lynds 1228 South],” 2004, ApJS, 154, 433; Joergensen et al., “[http://adsabs.harvard.edu/abs/2006ApJ...645.1246J The Spitzer c2d Survey of Large, Nearby, Interstellar Clouds. III. Perseus Observed with IRAC],” 2006, ApJ, 645, 1246; Rebull et al., “[http://adsabs.harvard.edu/abs/2007ApJS..171..447R The Spitzer c2d Survey of Large, Nearby, Interstellar Clouds: VI. Perseus Observed with MIPS],” 2007, ApJS, 171, 447&lt;br /&gt;
|&lt;br /&gt;
* Need Spitzer or WISE or Herschel (that is, if we didn’t already have the data, as it would be in the general case of cluster membership, not specifically in IC 2118)&lt;br /&gt;
* Will only find those stars which still have enough disk left to make an IR excess – will be unable to distinguish young stars without disks (Class IIIs) from the interlopers.&lt;br /&gt;
* Background galaxies (many of which are forming stars) can have the same IR colors as stars with disks, so need additional data to distinguish stars from galaxies.&lt;br /&gt;
|-&lt;br /&gt;
|(Flaring) X-rays &lt;br /&gt;
''(young stars emit lots of X-rays because they are completely convective and fast-rotating, so they have lots of starspots and therefore lots of flares, big and small)''&lt;br /&gt;
|&lt;br /&gt;
* Need something that can detect X-rays – CXO (Chandra X-ray Observatory) or  XMM (X-Ray Multi-mirror Mission)&lt;br /&gt;
* Can find all of the stars that are bright in X-rays pretty straightforwardly - you just look, and see the ones that are bright.&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Wolk et al., “[http://adsabs.harvard.edu/abs/2006AJ....132.1100W X-Ray and Infrared Point Source Identification and Characteristics in the Embedded, Massive Star-Forming Region RCW 38],” 2006, AJ, 132, 1100, Alcala et al., “[http://adsabs.harvard.edu/abs/1996A%26AS..119....7A New weak-line T Tauri stars in Orion from the ROSAT all-sky survey],” 1996, A&amp;amp;AS, 119, 7.  (Note that both of these folks went out and got additional data on at least some of their objects to further indicate that they were members.)&lt;br /&gt;
|&lt;br /&gt;
* Need space-based mission to see X-rays - can't do from the ground.&lt;br /&gt;
* Need a large field of view to efficiently study large parts of the sky at once; all missions (now, anyway) have small FOV (due to methodology for detection)&lt;br /&gt;
* Takes a long time (like 25,000 seconds for one 5x5 arcminute field), and even then you will still be able to count the number of individual photons that you see.&lt;br /&gt;
* Not all will be detectable on a reasonable timescale.&lt;br /&gt;
* Stars might not be flaring at the time you look.&lt;br /&gt;
* Will only find those stars that are X-ray active enough (might miss those that are deeply embedded or have big enough thick disks to block out the X-rays).&lt;br /&gt;
* Background galaxies can also be bright in X-rays, as can active foreground M dwarfs. &lt;br /&gt;
|-&lt;br /&gt;
|(Flaring) Radio &lt;br /&gt;
''(young stars emit in radio when they flare; see above entry for X-rays)''&lt;br /&gt;
|&lt;br /&gt;
* Need something that can detect radio (ground-based)&lt;br /&gt;
* Can find all of the stars that are bright in radio pretty straightforwardly - you just look, and see the ones that are bright.&lt;br /&gt;
* I don't know of very many people using this method as a primary method for finding young stars.  I invite you to find the ADS references and link them in!&lt;br /&gt;
|&lt;br /&gt;
* Field M stars can also be active, and thus just being bright in radio is not enough.&lt;br /&gt;
* Spatial resolution of radio telescopes usually means either you have low-resolution over a large area (making it problematic to match to specific stars) or high-resolution over a small area (but we have a big map).&lt;br /&gt;
* Background galaxies can also be bright in radio. &lt;br /&gt;
|-&lt;br /&gt;
|Outflows &lt;br /&gt;
''(only present for the very youngest objects, Class Os and Is)''&lt;br /&gt;
|&lt;br /&gt;
* Again, need to cover large areas (outflows can extend over many parsecs).&lt;br /&gt;
* Easily detectable in IRAC or optical emission line studies from the ground (search in ADS on “John Bally” to find lots such optical surveys)&lt;br /&gt;
* Signpost to star formation – really big, obvious literal pointer saying “there is a very young star right HERE”&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Walawender et al., “[http://adsabs.harvard.edu/abs/2006AJ....132..467W Multiple Outflows and Protostars near IC348 and the Flying Ghost Nebula],” 2006, AJ, 132, 467, Bally et al., “[http://adsabs.harvard.edu/abs/2006AJ....131..473B Irradiated and Bent Jets in the Orion Nebula],” 2006, AJ, 131, 473&lt;br /&gt;
|&lt;br /&gt;
* Orientation might not be good – if it’s pointing right at us, we’ll miss it.&lt;br /&gt;
* Not all stars have jets - only the very youngest, and stars don't spend much of their lives in that particular phase, so it's hard to catch them &amp;quot;in the act.&amp;quot;&lt;br /&gt;
* Sometimes hard to connect the maze of jets back to their source -- 2 main reasons: (a) central object often very embedded, and may be missed in optical and/or shallow surveys; (b) object precesses and moves, so jets twist and turn and don’t always point straight back to their source.  In complicated regions (e.g., NGC 1333, see [http://www.spitzer.caltech.edu/Media/releases/ssc2005-24/index.shtml Spitzer image in press release archive]), this is particularly tough.&lt;br /&gt;
|-&lt;br /&gt;
|Emission lines and other line shapes&lt;br /&gt;
''(emitted/absorbed by accreting matter and technically disks too, though I wasn’t thinking of that at the time)''&lt;br /&gt;
|&lt;br /&gt;
* Photometry: Often easy to cover large areas with ground-based telescopes and a narrow-band filter such as Halpha or Neon II.&lt;br /&gt;
* Spectroscopy: fast enough sequence of Halpha spectra can literally allow you to see blobs of matter as they fall into the star (!), which is pretty incontrovertible evidence you have a young star.&lt;br /&gt;
* If you have a single spectroscopic observation of something with a P Cygni profile, this can also indicate accretion (emission line slightly redshifted from absorption line because matter is falling into the star).&lt;br /&gt;
* Spectroscopy of the disk: need IR spectroscopy to see emission lines from molecules in disk&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Ogura et al., “[http://adsabs.harvard.edu/abs/2002AJ....123.2597O Halpha Emission Stars and Herbig-Haro Objects in the Vicinity of Bright-Rimmed Clouds],” 2002, AJ, 123, 2597, Edwards et al., “[http://adsabs.harvard.edu/abs/2006ApJ...646..319E Probing T Tauri Accretion and Outflow with 1 Micron Spectroscopy],” 2006, ApJ, 646, 319 (ok, this is not blind searching, but it is really using line shapes to learn more about the stars in question.)&lt;br /&gt;
|&lt;br /&gt;
* For a more precise measurement of Halpha, need to take spectra, which take longer to acquire than photometry.&lt;br /&gt;
* The nebula itself can emit in Halpha (especially true in Orion Nebula, M41/42), so it can be hard to distinguish the young star emission from the nebular emission (photom or spec).&lt;br /&gt;
* Older stars which are simply chromospherically active can emit in Halpha, so it can be hard to distinguish young stars from older stars on Halpha alone.&lt;br /&gt;
* Spectroscopy of the disk – usually too expensive in terms of observing time to just go hunting blindly – usually need to have some reason to suspect a star is already young before embarking on such a project.&lt;br /&gt;
|-&lt;br /&gt;
|Variability&lt;br /&gt;
''(because so much is happening in and around young stars, they are highly variable.  In all cases here, I’m thinking of photometry, but as mentioned above, temporal studies using spectroscopy are also possible.)''&lt;br /&gt;
|&lt;br /&gt;
* Most frequently done in V, I,  and/or J bands; variability in young stars has been seen in nearly all possible wavelengths&lt;br /&gt;
* Can do from the ground, so can cover large areas of sky if you have a large FOV camera&lt;br /&gt;
* With a large FOV, can do many stars at once.&lt;br /&gt;
* Young stars highly variable, so relatively easy to do (need ~week or two rather than ~month or two of telescope time, and need only to go to 0.1 mag accuracy, not 0.001 mag accuracy, though that would help)&lt;br /&gt;
* Can do relative photometry (photometry with respect to the other stars in the frame rather than with respect to photometric standards) so don’t really need calibrators, and you can keep observing if the night is strictly not photometric conditions. &lt;br /&gt;
* Can be done (often best done) using small (&amp;lt;1 m) telescopes&lt;br /&gt;
* Can look for periods at the same time (see below)&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Carpenter et al., “[http://adsabs.harvard.edu/abs/2001AJ....121.3160C Near-Infrared Photometric Variability of Stars toward the Orion A Molecular Cloud],” 2001, AJ, 121, 3160&lt;br /&gt;
* Note that variability was once one of the defining characteristics of YSOs ([http://adsabs.harvard.edu/abs/1945ApJ...102..168J Joy 1945]).&lt;br /&gt;
|&lt;br /&gt;
* Takes time, need many observations per night over many nights&lt;br /&gt;
* Need to see photosphere (or close to it), so deeply embedded stars are harder to do, or at least harder to make the case to our colleagues that we’re not seeing variation in the nebula or outer disk&lt;br /&gt;
* Need to do both short and long integrations to be able to get valid data on the bright and faint stars, respectively.&lt;br /&gt;
* Older stars can vary too, but generally not at the rate or amplitude &lt;br /&gt;
|-&lt;br /&gt;
|Rotation rate&lt;br /&gt;
''(a special case of ‘variability’ above)''&lt;br /&gt;
|&lt;br /&gt;
* Young stars rotate in general much faster than old stars, so fast rotation is also generally taken as evidence for youth.&lt;br /&gt;
* Spectroscopy: only need one observation per star to get vsini.&lt;br /&gt;
* Spectroscopy: high-res spectra can often also tell you if there is a nearby companion&lt;br /&gt;
* Spectroscopy: high-res spectra can also tell you if the star still has lithum (Li burns so easily that only the youngest stars are thought to have any left)&lt;br /&gt;
* Photometry: know the true value of the period (number is either really right, or wrong by a lot, as a result of observing method), no inclination (sin i) uncertainty&lt;br /&gt;
* Photometry: Period is often something we know with more precision than anything else about these young stars.&lt;br /&gt;
* Photometry: can use the same data you’re using for variability study above.&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Rebull, “[http://adsabs.harvard.edu/abs/2001AJ....121.1676R Rotation of Young Low-Mass Stars in the Orion Nebula Cluster Flanking Fields],” 2001, AJ, 121, 1676; Makidon et al., “[http://adsabs.harvard.edu/abs/2004AJ....127.2228M Periodic Variability of Pre-Main Sequence Stars in the NGC 2264 OB Association],” 2004, AJ, 127, 2228&lt;br /&gt;
|&lt;br /&gt;
* Spectroscopy: need high spectral resolution to get measurement of projected rotational velocity (v sin i)&lt;br /&gt;
* Spectroscopy: can’t do anything about that inclination (sin i) uncertainty&lt;br /&gt;
* Photometry: need many observations per night over many nights, and even then maybe only a fraction of your observed young stars will be detectably periodic.&lt;br /&gt;
* Photometry; need stars to cooperate --  another observing campaign on the same stars a year later will only recover about half(!) of the periodic stars, presumably due to changes in the stars themselves (star spot shape and coverage, disk ‘puffiness’, etc)&lt;br /&gt;
* Photometry: possible – though unlikely for fast rotation rates –  to be fooled by binaries or disk occultations&lt;br /&gt;
|-&lt;br /&gt;
|UV &lt;br /&gt;
''(due to shocks as accretion material hits star)''&lt;br /&gt;
|&lt;br /&gt;
* Lots more UV than expected is a dead give-away for mass accretion onto star (no clear way to create lots of UV any other way)&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Rebull et al., “[http://adsabs.harvard.edu/abs/2000AJ....119.3026R Circumstellar Disk Candidates Identified from UV Excesses in the Orion Nebula Cluster Flanking Fields],” 2000, AJ, 119, 3026&lt;br /&gt;
|&lt;br /&gt;
* Long integration times needed because star faint at shorter wavelengths&lt;br /&gt;
* Star needs to be accreting in order to be &amp;quot;brighter than you expect&amp;quot; at these wavelengths.&lt;br /&gt;
* Subtle accretion rates look like coronal activity in older stars (similar to Halpha “cons” above&lt;br /&gt;
|-&lt;br /&gt;
|Spatial location &lt;br /&gt;
''(localized in area of gas and dust)''&lt;br /&gt;
|&lt;br /&gt;
* Easy to measure – can do from just images&lt;br /&gt;
* We have Spitzer/WISE/Herschel data already, and IR observations easily find dust.&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Padgett et al., “[http://adsabs.harvard.edu/abs/2004ApJS..154..433P An Aggregate of Young Stellar Disks in Lynds 1228 South],” 2004, ApJS, 154, 433 (ok, so spatial location is a co-primary method with IR excess in this paper); Kiss et al., “[http://adsabs.harvard.edu/abs/2006A%26A...453..923K Star formation in the Cepheus Flare region: implications from morphology and infrared properties of optically selected clouds],” 2006, A&amp;amp;A, 453, 923 (again, morphology isn’t the only thing but it plays an important role)&lt;br /&gt;
|&lt;br /&gt;
* Details of extinction not easy to measure&lt;br /&gt;
* Chance superposition of foreground or background stars (and galaxies) can easily fool you, so usually you need at least one other indicator of youth before you can write a paper.&lt;br /&gt;
|-&lt;br /&gt;
|Similar brightness (similar age)&lt;br /&gt;
''(can also think of this as placing them on a color-magnitude diagram [CMD] or HR diagram [HRD])''&lt;br /&gt;
|&lt;br /&gt;
* Can do with photometry of any sort (we can do this with Spitzer/WISE/Herschel data we have) &lt;br /&gt;
* To really put in CMD and get ages/masses, need optical data (photom and spec)&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Rebull et al., “[http://adsabs.harvard.edu/abs/2000AJ....119.3026R Circumstellar Disk Candidates Identified from UV Excesses in the Orion Nebula Cluster Flanking Fields ],” 2000, AJ, 119, 3026 (ok, so I found them first using UV, but the optical CMD is important for making the case that they’re really young); Rebull et al., “[http://adsabs.harvard.edu/abs/2002AJ....123.1528R Circumstellar Disk Candidates Identified in NGC 2264],” 2002, AJ, 123, 1528 (ditto!)&lt;br /&gt;
|&lt;br /&gt;
* Need optical spectra to give us a spectral type (we had time to do this at Palomar for IC 2118) to help with placement in CMD/HRD (we need to get a handle on optical reddening, since reddening will make the stars appear fainter than they should, making it hard to see if they all have similar brightnesses)&lt;br /&gt;
|-&lt;br /&gt;
|Spatial motion &lt;br /&gt;
''(Vradial = radial velocity, AND motion across the sky = proper motion, often abbreviated with the greek letter “mu”)''&lt;br /&gt;
|&lt;br /&gt;
* A cluster will be moving through space together, and if we really know the motion of individual stars, we can determine which objects are part of the cluster.&lt;br /&gt;
* Real life examples of people using this method as a primary method for finding young stars: Song et al., “[http://adsabs.harvard.edu/abs/2003ApJ...599..342S New Members of the TW Hydrae Association, Beta Pictoris Moving Group, and Tucana/Horologium Association],” 2003, ApJ, 599, 342; Mamajek et al., “[http://adsabs.harvard.edu/abs/1999ApJ...516L..77M The eta Chamaeleontis Cluster: A Remarkable New Nearby Young Open Cluster],” 1999, ApJL, 516, 77 (they use X-rays to also make the case, because this was such a surprising result, people wouldn’t have bought it just based on spatial motions alone.)&lt;br /&gt;
|&lt;br /&gt;
* Takes a long time; have to wait for star to move (units of proper motion are commonly arcseconds per century). Old telescopes like Palomar or Yerkes are best for doing these kinds of studies because they have such a long baseline of observation.  An ESA mission called [http://www.rssd.esa.int/index.php?project=HIPPARCOS Hipparcos] was designed for determining proper motions of things all over the sky. Gaia is now doing a similar survey but for fainter stars.&lt;br /&gt;
* Works best for nearby clusters, because the apparent motions are generally larger if the thing is closer. This method is no help for distant clusters.&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
=Additional questions asked at the time=&lt;br /&gt;
&lt;br /&gt;
Can you have a disk without accretion? – yes, because the disk could just be sitting there, not actively dumping stuff onto the star; that’s how you get stars with an IR excess but no UV excess.  (Cindy originally had: “yes, because you have Av extinction in the visible” .. the problem with that is that the Av could come from the general ISM, not just the circumstellar disk. &lt;br /&gt;
&lt;br /&gt;
Can you have accretion without a disk? – seems awfully hard to imagine how this could happen, but we have a handful of stars that appear to be doing it.  We don’t know what’s going on there.  Since we are sensitive to DUSTY disks, maybe it is GAS that is still accreting onto the star.&lt;br /&gt;
&lt;br /&gt;
= Questions to think about and things to try=&lt;br /&gt;
&lt;br /&gt;
What happens if a star satisfies some but not all of the criteria above? What if it has only one of the properties? How many properties does it need to have before you could stand up and claim to have found a young star, and have no one argue with you about it?&lt;br /&gt;
&lt;br /&gt;
Find a paper in the literature about finding young stars, not necessarily using Spitzer data, and see how many of these characteristics they use.  Did we miss any?&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Playing_Around_with_Clusters&amp;diff=13864</id>
		<title>Playing Around with Clusters</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Playing_Around_with_Clusters&amp;diff=13864"/>
		<updated>2022-10-06T18:41:18Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Preamble=&lt;br /&gt;
There is a lot of astronomy exercises that can be done once you have a list of cluster members. Now that there is plenty of Gaia data, there are lots of lists of stars that people think are members of various clusters. Some of the prep work that has to be done is extracting the data and converting it into a state that is straightforward for your students to use. Along with a framework of things to do with the clusters, I've done the prep work here for three clusters, along with an explanation of what I've done &amp;quot;behind the scenes&amp;quot; to get these data to this point. I've provided the data from the papers I've used, and then pointers to even more data that you could use to expand this project. Students, if you're reading this, this page could be the seeds for a really impressive science fair project. &lt;br /&gt;
&lt;br /&gt;
First, I just have the skeleton for the lab exercise, then I have more of the infrastructure stuff below that.&lt;br /&gt;
&lt;br /&gt;
=Introduction=&lt;br /&gt;
&lt;br /&gt;
Astronomers use the 3-D motion of stars in the sky to identify stars that are moving as a group, e.g., clusters, also &amp;quot;moving groups&amp;quot;, &amp;quot;open clusters&amp;quot;, myriad other names for stars that apparently were born together and are still associated with each other. Now that there is plenty of Gaia data to be had, the race is on to use all that data to identify members of known clusters and even identify new clusters. Many, many papers have done this, and you may notice that not all the papers agree with each other! We're going to use the published tables from one group's work and take those lists of members as &amp;quot;truth&amp;quot;. &lt;br /&gt;
&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
We are going to load in the Gaia photometry for three clusters, the Pleiades, Praesepe, and NGC 6774. We are going to create optical color-magnitude diagrams for these three clusters and place them in relative age order. As an extension, we will match these stars to 2MASS and WISE data and create IR CMDs to see how they are different than optical CMDs.&lt;br /&gt;
&lt;br /&gt;
=Finding the relative ages=&lt;br /&gt;
&lt;br /&gt;
[https://caltech.box.com/s/p27611bs6et5uqglozcg6kykj216znzk This directory] has several files. Grab pleiades.tbl, praesepe.tbl, and ngc6774.tbl. Load them into IRSA Viewer as catalogs. IRSA Viewer will recognize the positions and plot them on the sky on an image on the left, but also plot positions on the sky on the right. Change what is plotted to be an optical color-magnitude diagram, G vs. B-R, for each catalog (gmag vs. bpmag-rpmag). No need to compensate for distance if you don't want to. (Why do you think that is? What happens if you do compensate for distance?) Pin each CMD so that you can see all three CMDs at once. You may wish to make sure the titles are marked so that you know which diagram is which. &lt;br /&gt;
&lt;br /&gt;
Which cluster is the oldest? Which is the youngest? How do you know?&lt;br /&gt;
&lt;br /&gt;
'''Challenge''': find any white dwarfs, giants, or binary stars in any of these clusters. Verify that you're right by finding the star in SIMBAD.&lt;br /&gt;
&lt;br /&gt;
=Moving into the IR=&lt;br /&gt;
&lt;br /&gt;
Now, we need to go and get the 2MASS data for these stars. For each of these three clusters, go to the Catalog Search Tool, and use multi-object searching and one-to-one matching to find 2MASS point source catalog matches. Save the tables to disk so that you can get the catalogs back into the same IRSA Viewer session as before. &lt;br /&gt;
&lt;br /&gt;
The Catalog Search Tool takes all the same columns you had, appends &amp;quot;_01&amp;quot; to the column name, and then appends the new columns from the catalog you asked it to match, in this case 2mass. So now you have catalogs that have the information from Gaia and now 2MASS as well. Make new CMDs, this time near-IR CMDs, say, J vs. H-K (j_m vs. h_m-k_m). &lt;br /&gt;
&lt;br /&gt;
Are these plots different? How? (hint: Look at the range of the x axis.) Why are they so different? &lt;br /&gt;
&lt;br /&gt;
'''Challenge''': Make optical and NIR CMDs from the same catalog such that once you click on a giant or a white dwarf in a cluster in an optical CMD then it is also highlighted in the corresponding NIR CMD. Where are they in both plots -- are they where you expect?  &lt;br /&gt;
&lt;br /&gt;
'''Challenge''': Repeat this using WISE (you will have to use the original tbl files, not the ones output from the 2MASS merge). Make a plot of [W1] vs. [W1]-[W3] (w1mpro vs. w1mpro-w3mpro). You will most likely need to restrict it to only have the high signal-to-noise sources, e.g., filter down so that at least w3snr &amp;gt; 10). Why does this look like it does? Where are the giants/white dwarfs -- are they where you expect?  Why are there outliers in this plot? What are the outliers? (Hints: worry about errors on the photometry? source confusion? Use Finder Chart? What are the ages of the clusters here - should these stars have IR excesses?)&lt;br /&gt;
&lt;br /&gt;
=Details and expansion options=&lt;br /&gt;
&lt;br /&gt;
If you want to read more about what these particular authors did to get these members, the papers are these: &lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2021ApJ...912..162P/abstract&lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2022ApJ...931..156P/abstract&lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2021RNAAS...5..173L/abstract - just the Pleiades - note that RNAAS papers are not refereed.&lt;br /&gt;
&lt;br /&gt;
The clusters that these papers consider are listed in one of the early tables in both of the first two papers. The data from each of the stars behind these papers are electronic tables and can be downloaded from the journals themselves (everything is open access) or from VizieR. These data files are in plain text format, and you can download them, but they are not yet in a format that IRSA tools can easily recognize. The way that I get them into a format that can be recognized is to import them into Excel, make sure I have the columns parsed properly (you will need to explicitly cast the Gaia number as a string; otherwise it thinks it's a large integer and truncates the value), and save it as a csv file. The columns with RA and Dec should have column headings &amp;quot;ra&amp;quot; and &amp;quot;dec&amp;quot;, just like that, with no capitalization. Then, load the csv file into IRSA Viewer, and it will properly interpret the data tables. For this example, I then used IRSA Viewer to filter down the table based on cluster name to be just Praesepe, then saved that filtered table, and then just NGC 6774, then saved that filtered table accordingly.&lt;br /&gt;
&lt;br /&gt;
If you don't want to use the Pleiades in this project, you can ignore the last paper. I included it because the Pleiades is a benchmark cluster for SO MANY things. The RNAAS paper above has provided the data table as a FITS table, which IRSA Viewer can read directly, but the columns are totally different than what the other papers have. What I did was load the fits table into IRSA Viewer, use the table options (the gears) to turn off and on various columns, then save the table as an IPAC table file as a much slimmed down table containing just the columns I wanted. Then I edited the tbl file to have the same column headings as the other two saved tables such that, e.g., gmag is the same in all three tables for ease of plotting.&lt;br /&gt;
&lt;br /&gt;
Expansion options:&lt;br /&gt;
* Use different/additional clusters. The papers have lots and lots of clusters, and the tables include the ages for the clusters. Pick clusters of different ages, create catalogs via the same methods I used above, and see if your students can put them in the correct relative age order based on the Gaia CMDs. &lt;br /&gt;
* Use different clusters that are young enough that some will have IR excesses. This will make the expansion to WISE data more interesting, but you still need to worry about measurement error and source confusion.&lt;br /&gt;
* Explore ramifications of taking these member lists as opposed to someone else's member lists. Lists of just some of these papers below.&lt;br /&gt;
* For each cluster, explore the proper motions and/or true space motions. This is how the members were selected, so all the cluster members ought to have similar motions.&lt;br /&gt;
* Explore binaries in these clusters. Pull light curves from ZTF or TESS or ASAS-SN to see if they are eclipsing binaries.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Places with cluster membership (far from exhaustive list; get into ADS to find more [[Literature searching]])&lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2018A%26A...616A..10G/abstract&lt;br /&gt;
*And extract the source list (cluster, ra, dec) for each star from the relevant tables&lt;br /&gt;
*http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/616/A10#/browse &lt;br /&gt;
*Separating them out into one source list per cluster, in the right IPAC table format. Then bounce that ra, dec against IRSA’s copy of the Gaia catalogs to get G, B, and R, then use that to make the CMDs. &lt;br /&gt;
*http://cdsarc.u-strasbg.fr/ftp/J/A+A/616/A10/ReadMe&lt;br /&gt;
*https://academic.oup.com/mnras/article/512/3/4464/6563713&lt;br /&gt;
*https://www.aanda.org/articles/aa/full_html/2018/08/aa32843-18/aa32843-18.html#T3&lt;br /&gt;
*https://www.aanda.org/articles/aa/full_html/2018/08/aa32843-18/F16.html&lt;br /&gt;
*100 pc gaia catalog https://ui.adsabs.harvard.edu/abs/2021A%26A...649A...6G/abstract&lt;br /&gt;
*https://academic.oup.com/mnras/article/478/4/5184/5033414 and https://cdsarc.cds.unistra.fr/ftp/J/MNRAS/478/5184/ReadMe&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Playing_Around_with_Clusters&amp;diff=13863</id>
		<title>Playing Around with Clusters</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Playing_Around_with_Clusters&amp;diff=13863"/>
		<updated>2022-10-06T18:40:57Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Preamble=&lt;br /&gt;
There is a lot of astronomy exercises that can be done once you have a list of cluster members. Now that there is plenty of Gaia data, there are lots of lists of stars that people think are members of various clusters. Some of the prep work that has to be done is extracting the data and converting it into a state that is straightforward for your students to use. Along with a framework of things to do with the clusters, I've done the prep work here for three clusters, along with an explanation of what I've done &amp;quot;behind the scenes&amp;quot; to get these data to this point. I've provided the data from the papers I've used, and then pointers to even more data that you could use to expand this project. Students, if you're reading this, this page could be the seeds for a really impressive science fair project. &lt;br /&gt;
&lt;br /&gt;
First, I just have the skeleton for the lab exercise, then I have more of the infrastructure stuff below that.&lt;br /&gt;
&lt;br /&gt;
=Introduction=&lt;br /&gt;
&lt;br /&gt;
Astronomers use the 3-D motion of stars in the sky to identify stars that are moving as a group, e.g., clusters, also &amp;quot;moving groups&amp;quot;, &amp;quot;open clusters&amp;quot;, myriad other names for stars that apparently were born together and are still associated with each other. Now that there is plenty of Gaia data to be had, the race is on to use all that data to identify members of known clusters and even identify new clusters. Many, many papers have done this, and you may notice that not all the papers agree with each other! We're going to use the published tables from one group's work and take those lists of members as &amp;quot;truth&amp;quot;. &lt;br /&gt;
&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
We are going to load in the Gaia photometry for three clusters, the Pleiades, Praesepe, and NGC 6774. We are going to create optical color-magnitude diagrams for these three clusters and place them in relative age order. As an extension, we will match these stars to 2MASS and WISE data and create IR CMDs to see how they are different than optical CMDs.&lt;br /&gt;
&lt;br /&gt;
=Finding the relative ages=&lt;br /&gt;
&lt;br /&gt;
[https://caltech.box.com/s/p27611bs6et5uqglozcg6kykj216znzk This directory] has several files. Grab pleiades.tbl, praesepe.tbl, and ngc6774.tbl. Load them into IRSA Viewer as catalogs. IRSA Viewer will recognize the positions and plot them on the sky on an image on the left, but also plot positions on the sky on the right. Change what is plotted to be an optical color-magnitude diagram, G vs. B-R, for each catalog (gmag vs. bpmag-rpmag). No need to compensate for distance if you don't want to. (Why do you think that is? What happens if you do compensate for distance?) Pin each CMD so that you can see all three CMDs at once. You may wish to make sure the titles are marked so that you know which diagram is which. &lt;br /&gt;
&lt;br /&gt;
Which cluster is the oldest? Which is the youngest? How do you know?&lt;br /&gt;
&lt;br /&gt;
'''Challenge''': find any white dwarfs, giants, or binary stars in any of these clusters. Verify that you're right by finding the star in SIMBAD.&lt;br /&gt;
&lt;br /&gt;
=Moving into the IR=&lt;br /&gt;
&lt;br /&gt;
Now, we need to go and get the 2MASS data for these stars. For each of these three clusters, go to the Catalog Search Tool, and use multi-object searching and one-to-one matching to find 2MASS point source catalog matches. Save the tables to disk so that you can get the catalogs back into the same IRSA Viewer session as before. &lt;br /&gt;
&lt;br /&gt;
The Catalog Search Tool takes all the same columns you had, appends &amp;quot;_01&amp;quot; to the column name, and then appends the new columns from the catalog you asked it to match, in this case 2mass. So now you have catalogs that have the information from Gaia and now 2MASS as well. Make new CMDs, this time near-IR CMDs, say, J vs. H-K (j_m vs. h_m-k_m). &lt;br /&gt;
&lt;br /&gt;
Are these plots different? How? (hint: Look at the range of the x axis.) Why are they so different? &lt;br /&gt;
&lt;br /&gt;
'''Challenge''': Make optical and NIR CMDs from the same catalog such that once you click on a giant or a white dwarf in a cluster in an optical CMD then it is also highlighted in the corresponding NIR CMD. Where are they in both plots -- are they where you expect?  &lt;br /&gt;
&lt;br /&gt;
'''Challenge''': Repeat this using WISE (you will have to use the original tbl files, not the ones output from the 2MASS merge). Make a plot of [W1] vs. [W1]-[W3] (w1mpro vs. w1mpro-w3mpro). You will most likely need to restrict it to only have the high signal-to-noise sources, e.g., filter down so that at least w3snr &amp;gt; 10). Why does this look like it does? Where are the giants/white dwarfs -- are they where you expect?  Why are there outliers in this plot? What are the outliers? (Hints: worry about errors on the photometry? source confusion? Use Finder Chart? What are the ages of the clusters here - should these stars have IR excesses?)&lt;br /&gt;
&lt;br /&gt;
=Details and expansion options=&lt;br /&gt;
&lt;br /&gt;
If you want to read more about what these particular authors did to get these members, the papers are these: &lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2021ApJ...912..162P/abstract&lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2022ApJ...931..156P/abstract&lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2021RNAAS...5..173L/abstract - just the Pleiades - note that RNAAS papers are not refereed.&lt;br /&gt;
&lt;br /&gt;
The clusters that these papers consider are listed in one of the early tables in both of the first two papers. The data from each of the stars behind these papers are electronic tables and can be downloaded from the journals themselves (everything is open access) or from VizieR. These data files are in plain text format, and you can download them, but they are not yet in a format that IRSA tools can easily recognize. The way that I get them into a format that can be recognized is to import them into Excel, make sure I have the columns parsed properly (you will need to explicitly cast the Gaia number as a string; otherwise it thinks it's a large integer and truncates the value), and save it as a csv file. The columns with RA and Dec should have column headings &amp;quot;ra&amp;quot; and &amp;quot;dec&amp;quot;, just like that, with no capitalization. Then, load the csv file into IRSA Viewer, and it will properly interpret the data tables. For this example, I then used IRSA Viewer to filter down the table based on cluster name to be just Praesepe, then saved that filtered table, and then just NGC 6774, then saved that filtered table accordingly.&lt;br /&gt;
&lt;br /&gt;
If you don't want to use the Pleiades in this project, you can ignore the last paper. I included it because the Pleiades is a benchmark cluster for SO MANY things. The RNAAS paper above has provided the data table as a FITS table, which IRSA Viewer can read directly, but the columns are totally different than what the other papers have. What I did was load the fits table into IRSA Viewer, use the table options (the gears) to turn off and on various columns, then save the table as an IPAC table file as a much slimmed down table containing just the columns I wanted. Then I edited the tbl file to have the same column headings as the other two saved tables such that, e.g., gmag is the same in all three tables for ease of plotting.&lt;br /&gt;
&lt;br /&gt;
Expansion options:&lt;br /&gt;
* Use different/additional clusters. The papers have lots and lots of clusters, and the tables include the ages for the clusters. Pick clusters of different ages, create catalogs via the same methods I used above, and see if your students can put them in the correct relative age order based on the Gaia CMDs. &lt;br /&gt;
* Use different clusters that are young enough that some will have IR excesses. This will make the expansion to WISE data more interesting, but you still need to worry about measurement error and source confusion.&lt;br /&gt;
* Explore ramifications of taking these member lists as opposed to someone else's member lists. Lists of just some of these papers below.&lt;br /&gt;
* For each cluster, explore the proper motions and/or true space motions. This is how the members were selected, so all the cluster members ought to have similar motions.&lt;br /&gt;
* Explore binaries in these clusters. Pull light curves from ZTF or TESS or ASAS-SN to see if they are eclipsing binaries.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Places with cluster membership (far from exhaustive list; get into ADS to find more [[Literature searching]])&lt;br /&gt;
https://ui.adsabs.harvard.edu/abs/2018A%26A...616A..10G/abstract&lt;br /&gt;
And extract the source list (cluster, ra, dec) for each star from the relevant tables&lt;br /&gt;
http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/616/A10#/browse &lt;br /&gt;
Separating them out into one source list per cluster, in the right IPAC table format. Then bounce that ra, dec against IRSA’s copy of the Gaia catalogs to get G, B, and R, then use that to make the CMDs. &lt;br /&gt;
http://cdsarc.u-strasbg.fr/ftp/J/A+A/616/A10/ReadMe&lt;br /&gt;
https://academic.oup.com/mnras/article/512/3/4464/6563713&lt;br /&gt;
https://www.aanda.org/articles/aa/full_html/2018/08/aa32843-18/aa32843-18.html#T3&lt;br /&gt;
https://www.aanda.org/articles/aa/full_html/2018/08/aa32843-18/F16.html&lt;br /&gt;
100 pc gaia catalog https://ui.adsabs.harvard.edu/abs/2021A%26A...649A...6G/abstract&lt;br /&gt;
https://academic.oup.com/mnras/article/478/4/5184/5033414 and https://cdsarc.cds.unistra.fr/ftp/J/MNRAS/478/5184/ReadMe&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Playing_Around_with_Clusters&amp;diff=13862</id>
		<title>Playing Around with Clusters</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Playing_Around_with_Clusters&amp;diff=13862"/>
		<updated>2022-10-06T17:35:27Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Preamble=&lt;br /&gt;
There is a lot of astronomy exercises that can be done once you have a list of cluster members. Now that there is plenty of Gaia data, there are lots of lists of stars that people think are members of various clusters. Some of the prep work that has to be done is extracting the data and converting it into a state that is straightforward for your students to use. Along with a framework of things to do with the clusters, I've done the prep work here for three clusters, along with an explanation of what I've done &amp;quot;behind the scenes&amp;quot; to get these data to this point. I've provided the data from the papers I've used, and then pointers to even more data that you could use to expand this project. Students, if you're reading this, this page could be the seeds for a really impressive science fair project. &lt;br /&gt;
&lt;br /&gt;
First, I just have the skeleton for the lab exercise, then I have more of the infrastructure stuff below that.&lt;br /&gt;
&lt;br /&gt;
=Introduction=&lt;br /&gt;
&lt;br /&gt;
Astronomers use the 3-D motion of stars in the sky to identify stars that are moving as a group, e.g., clusters, also &amp;quot;moving groups&amp;quot;, &amp;quot;open clusters&amp;quot;, myriad other names for stars that apparently were born together and are still associated with each other. Now that there is plenty of Gaia data to be had, the race is on to use all that data to identify members of known clusters and even identify new clusters. Many, many papers have done this, and you may notice that not all the papers agree with each other! We're going to use the published tables from one group's work and take those lists of members as &amp;quot;truth&amp;quot;. &lt;br /&gt;
&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
We are going to load in the Gaia photometry for three clusters, the Pleiades, Praesepe, and NGC 6774. We are going to create optical color-magnitude diagrams for these three clusters and place them in relative age order. As an extension, we will match these stars to 2MASS and WISE data and create IR CMDs to see how they are different than optical CMDs.&lt;br /&gt;
&lt;br /&gt;
=Finding the relative ages=&lt;br /&gt;
&lt;br /&gt;
[https://caltech.box.com/s/p27611bs6et5uqglozcg6kykj216znzk This directory] has several files. Grab pleiades.tbl, praesepe.tbl, and ngc6774.tbl. Load them into IRSA Viewer as catalogs. IRSA Viewer will recognize the positions and plot them on the sky on an image on the left, but also plot positions on the sky on the right. Change what is plotted to be an optical color-magnitude diagram, G vs. B-R, for each catalog (gmag vs. bpmag-rpmag). No need to compensate for distance if you don't want to. (Why do you think that is? What happens if you do compensate for distance?) Pin each CMD so that you can see all three CMDs at once. You may wish to make sure the titles are marked so that you know which diagram is which. &lt;br /&gt;
&lt;br /&gt;
Which cluster is the oldest? Which is the youngest? How do you know?&lt;br /&gt;
&lt;br /&gt;
'''Challenge''': find any white dwarfs, giants, or binary stars in any of these clusters. Verify that you're right by finding the star in SIMBAD.&lt;br /&gt;
&lt;br /&gt;
=Moving into the IR=&lt;br /&gt;
&lt;br /&gt;
Now, we need to go and get the 2MASS data for these stars. For each of these three clusters, go to the Catalog Search Tool, and use multi-object searching and one-to-one matching to find 2MASS point source catalog matches. Save the tables to disk so that you can get the catalogs back into the same IRSA Viewer session as before. &lt;br /&gt;
&lt;br /&gt;
The Catalog Search Tool takes all the same columns you had, appends &amp;quot;_01&amp;quot; to the column name, and then appends the new columns from the catalog you asked it to match, in this case 2mass. So now you have catalogs that have the information from Gaia and now 2MASS as well. Make new CMDs, this time near-IR CMDs, say, J vs. H-K (j_m vs. h_m-k_m). &lt;br /&gt;
&lt;br /&gt;
Are these plots different? How? (hint: Look at the range of the x axis.) Why are they so different? &lt;br /&gt;
&lt;br /&gt;
'''Challenge''': Make optical and NIR CMDs from the same catalog. Find the giants and WDs in both plots by using IRSA Viewer's capabilities. Where are they in both plots?  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
If you want to read more about what these authors did to get these members, the papers are these: &lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2021RNAAS...5..173L/abstract - just the Pleiades &lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2021ApJ...912..162P/abstract&lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2022ApJ...931..156P/abstract&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(challenge for later: explore ramifications of taking these lists as opposed to someone else's lists)&lt;br /&gt;
&lt;br /&gt;
(can be ignored if you don't want to use the Pleiades)&lt;br /&gt;
&lt;br /&gt;
The clusters that these papers consider are listed in one of the early tables in these papers. The data from each of the stars behind these papers are electronic tables and can be downloaded from the journals themselves (everything is open access) or from VizieR. These data files are in plain text format, but they are not yet in a format that IRSA tools can easily recognize. The way that I get them into a format that can be recognized is to import them into Excel, make sure I have the columns parsed properly (you will need to explicitly cast the Gaia number as a string; otherwise it thinks it's a large integer and truncates the value), and save it as a csv file. The columns with RA and Dec should have column headings &amp;quot;ra&amp;quot; and &amp;quot;dec&amp;quot;, just like that, with no capitalization. Then, I can load the csv file into IRSA Viewer, and it will properly interpret the data tables. Note that the RNAAS paper above has provided the data table as a FITS table, which IRSA Viewer can read directly, but the columns are totally different than &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
do the same thing against 2mass and explore why the NIR CMDs look so different than the optical ones.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Places with cluster membership (far from exhaustive list; get into ADS to find more [[Literature searching]])&lt;br /&gt;
https://ui.adsabs.harvard.edu/abs/2018A%26A...616A..10G/abstract&lt;br /&gt;
And extract the source list (cluster, ra, dec) for each star from the relevant tables&lt;br /&gt;
http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/616/A10#/browse &lt;br /&gt;
Separating them out into one source list per cluster, in the right IPAC table format. Then bounce that ra, dec against IRSA’s copy of the Gaia catalogs to get G, B, and R, then use that to make the CMDs. &lt;br /&gt;
http://cdsarc.u-strasbg.fr/ftp/J/A+A/616/A10/ReadMe&lt;br /&gt;
https://academic.oup.com/mnras/article/512/3/4464/6563713&lt;br /&gt;
https://www.aanda.org/articles/aa/full_html/2018/08/aa32843-18/aa32843-18.html#T3&lt;br /&gt;
https://www.aanda.org/articles/aa/full_html/2018/08/aa32843-18/F16.html&lt;br /&gt;
100 pc gaia catalog https://ui.adsabs.harvard.edu/abs/2021A%26A...649A...6G/abstract&lt;br /&gt;
https://academic.oup.com/mnras/article/478/4/5184/5033414 and https://cdsarc.cds.unistra.fr/ftp/J/MNRAS/478/5184/ReadMe&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Playing_Around_with_Clusters&amp;diff=13861</id>
		<title>Playing Around with Clusters</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Playing_Around_with_Clusters&amp;diff=13861"/>
		<updated>2022-10-06T17:15:54Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Preamble=&lt;br /&gt;
There is a lot of astronomy exercises that can be done once you have a list of cluster members. Now that there is plenty of Gaia data, there are lots of lists of stars that people think are members of various clusters. Some of the prep work that has to be done is extracting the data and converting it into a state that is straightforward for your students to use. Along with a framework of things to do with the clusters, I've done the prep work here for three clusters, along with an explanation of what I've done &amp;quot;behind the scenes&amp;quot; to get these data to this point. I've provided the data from the papers I've used, and then pointers to even more data that you could use to expand this project. Students, if you're reading this, this page could be the seeds for a really impressive science fair project. &lt;br /&gt;
&lt;br /&gt;
First, I just have the skeleton for the lab exercise, then I have more of the infrastructure stuff below that.&lt;br /&gt;
&lt;br /&gt;
=Introduction=&lt;br /&gt;
&lt;br /&gt;
Astronomers use the 3-D motion of stars in the sky to identify stars that are moving as a group, e.g., clusters, also &amp;quot;moving groups&amp;quot;, &amp;quot;open clusters&amp;quot;, myriad other names for stars that apparently were born together and are still associated with each other. Now that there is plenty of Gaia data to be had, the race is on to use all that data to identify members of known clusters and even identify new clusters. Many, many papers have done this, and you may notice that not all the papers agree with each other! We're going to use the published tables from one group's work and take those lists of members as &amp;quot;truth&amp;quot;. &lt;br /&gt;
&lt;br /&gt;
=Goals=&lt;br /&gt;
&lt;br /&gt;
We are going to load in the Gaia photometry for three clusters, the Pleiades, Praesepe, and NGC 6774. We are going to create optical color-magnitude diagrams for these three clusters and place them in relative age order. As an extension, we will match these stars to 2MASS and WISE data and create IR CMDs to see how they are different than optical CMDs.&lt;br /&gt;
&lt;br /&gt;
=Finding the relative ages=&lt;br /&gt;
&lt;br /&gt;
[https://caltech.box.com/s/p27611bs6et5uqglozcg6kykj216znzk This directory] has several files. Grab pleiades.tbl, praesepe.tbl, and ngc6774.tbl. Load them into IRSA Viewer as catalogs. IRSA Viewer will recognize the positions and plot them on the sky on an image on the left, but also plot positions on the sky on the right. Change what is plotted to be an optical color-magnitude diagram, G vs. B-R, for each catalog. No need to compensate for distance if you don't want to. (Why do you think that is? What happens if you do compensate for distance?) Pin each CMD so that you can see all three CMDs at once. You may wish to make sure the titles are marked so that you know which diagram is which. &lt;br /&gt;
&lt;br /&gt;
Which cluster is the oldest? Which is the youngest? How do you know?&lt;br /&gt;
&lt;br /&gt;
'''Challenge''': find any white dwarfs, giants, or binary stars in any of these clusters. Verify that you're right by finding the star in SIMBAD.&lt;br /&gt;
&lt;br /&gt;
=Moving into the IR=&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
If you want to read more about what these authors did to get these members, the papers are these: &lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2021RNAAS...5..173L/abstract - just the Pleiades &lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2021ApJ...912..162P/abstract&lt;br /&gt;
*https://ui.adsabs.harvard.edu/abs/2022ApJ...931..156P/abstract&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
(challenge for later: explore ramifications of taking these lists as opposed to someone else's lists)&lt;br /&gt;
&lt;br /&gt;
(can be ignored if you don't want to use the Pleiades)&lt;br /&gt;
&lt;br /&gt;
The clusters that these papers consider are listed in one of the early tables in these papers. The data from each of the stars behind these papers are electronic tables and can be downloaded from the journals themselves (everything is open access) or from VizieR. These data files are in plain text format, but they are not yet in a format that IRSA tools can easily recognize. The way that I get them into a format that can be recognized is to import them into Excel, make sure I have the columns parsed properly (you will need to explicitly cast the Gaia number as a string; otherwise it thinks it's a large integer and truncates the value), and save it as a csv file. The columns with RA and Dec should have column headings &amp;quot;ra&amp;quot; and &amp;quot;dec&amp;quot;, just like that, with no capitalization. Then, I can load the csv file into IRSA Viewer, and it will properly interpret the data tables. Note that the RNAAS paper above has provided the data table as a FITS table, which IRSA Viewer can read directly, but the columns are totally different than &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
do the same thing against 2mass and explore why the NIR CMDs look so different than the optical ones.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Places with cluster membership (far from exhaustive list; get into ADS to find more [[Literature searching]])&lt;br /&gt;
https://ui.adsabs.harvard.edu/abs/2018A%26A...616A..10G/abstract&lt;br /&gt;
And extract the source list (cluster, ra, dec) for each star from the relevant tables&lt;br /&gt;
http://cdsarc.u-strasbg.fr/viz-bin/qcat?J/A+A/616/A10#/browse &lt;br /&gt;
Separating them out into one source list per cluster, in the right IPAC table format. Then bounce that ra, dec against IRSA’s copy of the Gaia catalogs to get G, B, and R, then use that to make the CMDs. &lt;br /&gt;
http://cdsarc.u-strasbg.fr/ftp/J/A+A/616/A10/ReadMe&lt;br /&gt;
https://academic.oup.com/mnras/article/512/3/4464/6563713&lt;br /&gt;
https://www.aanda.org/articles/aa/full_html/2018/08/aa32843-18/aa32843-18.html#T3&lt;br /&gt;
https://www.aanda.org/articles/aa/full_html/2018/08/aa32843-18/F16.html&lt;br /&gt;
100 pc gaia catalog https://ui.adsabs.harvard.edu/abs/2021A%26A...649A...6G/abstract&lt;br /&gt;
https://academic.oup.com/mnras/article/478/4/5184/5033414 and https://cdsarc.cds.unistra.fr/ftp/J/MNRAS/478/5184/ReadMe&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=SSW2022_Activities&amp;diff=13860</id>
		<title>SSW2022 Activities</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=SSW2022_Activities&amp;diff=13860"/>
		<updated>2022-10-06T16:42:33Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Introduction ==&lt;br /&gt;
&lt;br /&gt;
The [https://nexsci.caltech.edu/conferences/ Sagan Summer Workshop] (SSW) is held annually and is meant to be a week-long summer &amp;quot;school&amp;quot; for early career astronomers (advanced undergraduates and graduate students/postdocs. The conferences traditionally have a substantial hands-on component. Each year, they pick a different theme. In 2022, the theme was [https://nexsci.caltech.edu/workshop/2022/agenda.shtml Exoplanet Science in the Gaia Era]. Several of the hands-on components from earlier in the week can be done using IRSA tools, so this is what we have reproduced here. See the SSW website for recordings of the talks that led into these hands-on sessions, as well as [https://nexsci.caltech.edu/workshop/2022/handson.shtml detailed instructions] as to how to do these exercises using the Google Colab Notebooks provided by the workshop team. &lt;br /&gt;
&lt;br /&gt;
== Monday Afternoon, Part 1==&lt;br /&gt;
&lt;br /&gt;
# ''Query the Gaia Catalog of Nearby Stars (GCNS) for all stars within 20 pc.'' - as of the time I am writing this, the GCNS isn't available at IRSA, so you have to either go directly to the [https://gea.esac.esa.int/archive/ ESA Gaia Archive] to get it, or get it from [https://vizier.cds.unistra.fr/viz-bin/VizieR VizieR], like at [https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/649/A6 this ftp site]. The GCNS is '''large''', but you can get it in csv format, which IRSA tools understand. To make this process easier, though, [https://caltech.box.com/s/ohqzfmhzf4ifc46caayh3fsyfpgxsn7p here] is a truncated csv version of this catalog. &lt;br /&gt;
##Download and uncompress that copy, or download your own copy from VizieR.&lt;br /&gt;
##Load that csv catalog into IRSA Viewer by clicking on the catalogs tab, then &amp;quot;Load Catalog File.&amp;quot;&lt;br /&gt;
##Filter down the catalog to only have the stars within 20 pc -- turn on filters and restrict the file to have only Plx&amp;gt;50. You should be left with ~2600 stars.&lt;br /&gt;
# ''Make an observed Gaia color-magnitude diagram for this sample.''&lt;br /&gt;
##Use IRSA Viewer to make a plot of G vs. B-R -- the columns in the zipped csv file above are x=BPmag-RPmag and y=Gmag. Don't forget to reverse the y axis! Pin the plot so that you can compare it to other plots.&lt;br /&gt;
# ''Make an absolute Gaia color-magnitude diagram for this sample.'' - that is, correct for distance because you have the parallax!&lt;br /&gt;
##Use IRSA Viewer to make a new plot of absolute G vs. B-R. Hint: Gmag- (5*log10(1000/Plx) - 5). &lt;br /&gt;
##Pin it so that you can compare the first plot with this one. &lt;br /&gt;
##What are some things that are the same and different between these two plots? Why?&lt;br /&gt;
##What happens to the outliers if you plot absolute G vs. G-R instead of G vs. B-R? (Why?)&lt;br /&gt;
# ''Make an absolute SDSS color-magnitude diagram for this sample.'' - the SDSS photometry is included in the GCNS catalog, and you still have the parallax, of course.&lt;br /&gt;
##The SDSS filters are the columns &amp;quot;gmag&amp;quot;, &amp;quot;rmag&amp;quot;, &amp;quot;imag&amp;quot;, and &amp;quot;zmag&amp;quot;. Try g vs. g-i. You may have to cope with some outliers either by filtering the catalog or changing the limits of the plot.&lt;br /&gt;
##Why does the SDSS CMD look like it does? Why is it worse or better than the Gaia CMD?&lt;br /&gt;
&lt;br /&gt;
== Monday Afternoon, Part 2==&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! name in Google Colab !! name in Exoplanet UI &lt;br /&gt;
|-&lt;br /&gt;
| pl_name || Names / Planet Name &lt;br /&gt;
|-&lt;br /&gt;
| hostname || Names / Host Name &lt;br /&gt;
|-&lt;br /&gt;
| ra || System Data / Position / RA (pick the one in degrees, not sexagesimal) &lt;br /&gt;
|-&lt;br /&gt;
| dec || System Data / Position / Dec (pick the one in degrees, not sexagesimal) &lt;br /&gt;
|-&lt;br /&gt;
| sy_gaiamag || System Data / Photometry / Gaia Magnitude &lt;br /&gt;
|-&lt;br /&gt;
| st_teff || Stellar data / Stellar Effective Temperature &lt;br /&gt;
|-&lt;br /&gt;
| st_logg || Stellar data / Stellar Surface Gravity &lt;br /&gt;
|-&lt;br /&gt;
| st_met || Stellar data / Stellar Metallicity (in dex) &lt;br /&gt;
|-&lt;br /&gt;
| st_lum || Stellar data / Stellar Luminosity &lt;br /&gt;
|-&lt;br /&gt;
| st_rad || Stellar data / Stellar Radius &lt;br /&gt;
|-&lt;br /&gt;
| st_age || Stellar data / Stellar Age &lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Some critical columns in Gaia DR3 !! definition &lt;br /&gt;
|-&lt;br /&gt;
| phot_g_mean_mag || G mag &lt;br /&gt;
|-&lt;br /&gt;
| phot_bp_mean_mag || Bp mag &lt;br /&gt;
|-&lt;br /&gt;
| phot_rp_mean_mag || Rp mag &lt;br /&gt;
|-&lt;br /&gt;
| parallax || Parallax in mas &lt;br /&gt;
|-&lt;br /&gt;
|parallax_over_error || parallax divided by the error in parallax, e.g., a measure of signal-to-noise&lt;br /&gt;
|-&lt;br /&gt;
|distance_gspphot || Distance in pc&lt;br /&gt;
|-&lt;br /&gt;
| ebpminrp_gspphot || E(B-R), e.g., reddening in Bp-Rp&lt;br /&gt;
|-&lt;br /&gt;
| ag_gspphot || A_G, e.g., reddening in G&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
# ''Query the Exoplanet Archive''&lt;br /&gt;
##Go to the [https://exoplanetarchive.ipac.caltech.edu/ Exoplanet Archive], and find the [https://exoplanetarchive.ipac.caltech.edu/cgi-bin/TblView/nph-tblView?app=ExoTbls&amp;amp;config=PSCompPars Planetary Systems Composite Data] Table.&lt;br /&gt;
##Go up the the upper left of the screen and click on &amp;quot;select columns.&amp;quot; &amp;quot;Clear all&amp;quot; then select the columns corresponding to the columns in the SSW example -- see table above. Then click &amp;quot;update&amp;quot; and close the pop-up window. &lt;br /&gt;
##&amp;quot;Download table&amp;quot; to, well, download the table. Save it as an IPAC table file (&amp;quot;IPAC format&amp;quot;) to make things easier for the next step.&lt;br /&gt;
# ''Crossmatch the Exoplanet Archive and Gaia DR3''&lt;br /&gt;
##Load the [https://irsa.ipac.caltech.edu/applications/Gator/ IRSA Catalog Search Tool]&lt;br /&gt;
##Select Gaia.&lt;br /&gt;
##Select Gaia Source Catalogue (DR3).&lt;br /&gt;
##Select &amp;quot;Multi-Object Search.&amp;quot;&lt;br /&gt;
##Click on &amp;quot;Browse&amp;quot; to upload the IPAC Table file you just downloaded from the Exoplanet Archive.&lt;br /&gt;
##To match what they are doing in the Colab notebook most closely, leave &amp;quot;one-to-one matching&amp;quot; turned off, and give it a search radius of 1 arcsec.&lt;br /&gt;
#The Colab notebook at this point asks, ''We now have a table with all the Gaia DR3 data for the host stars from the Exoplanet Archive. Not all host stars have a match in Gaia DR3 and how do we known the matches found are correct? Are all host stars uniquely matched to a Gaia source? Come up with a basic check of the cross-matches. Think about plots you could make to spot any matches that might be dubious. Identify exoplanets matched to more than one Gaia DR3 source, and/or bad matches. Find a way to filter these out.''&lt;br /&gt;
##For us, we can bypass much of this, but let's try to explore the spirit of these questions. One of the columns that is returned by the Catalog Search Tool is a column called dist_x which is the distance between the requested position and the match. You can explore the distribution of this in any of a number of ways, but the way that gives the easiest-to-interpret results may seem a little klunky. &lt;br /&gt;
###Click on the diskette icon on the data table in the Catalog Search Tool to save the cross matched results as an IPAC table file.&lt;br /&gt;
###Start a new session of IRSA Viewer and upload that IPAC table file.&lt;br /&gt;
###Once it loads, click on the gears in the plot pane. &lt;br /&gt;
###Make a histogram of the dist_x column: Add new plot, pick &amp;quot;histogram&amp;quot;, enter dist_x, enter your desired parameters (or leave the defaults) and apply. &lt;br /&gt;
###Where do most of the matches fall? Does it make sense to keep matches up to 1 arcsec away, or is a smaller radius more appropriate?&lt;br /&gt;
##Let's go back a step, because we can bypass some of this. Return to your Catalog Search Tool matching, and this time, turn on &amp;quot;one-to-one matching&amp;quot; by clicking on the &amp;quot;One-to-one Match&amp;quot; checkbox, and give it a search radius of 1 arcsec. What this does is give you one line of output for each line of input, with the closest match from Gaia DR3 within the specified search radius. If there is no match, there will be a row of nulls for that input line. If there is more than one match within the radius, it will take the closest one.&lt;br /&gt;
###Click on the diskette icon on the data table in the Catalog Search Tool to save the cross matched results as an IPAC table file.&lt;br /&gt;
###Return to your prior session of IRSA Viewer and upload that new IPAC table file.&lt;br /&gt;
###Once it loads, click on the gears in the plot pane. &lt;br /&gt;
###Make a histogram of the dist_x column: Add new plot, pick &amp;quot;histogram&amp;quot;, enter dist_x, enter your desired parameters (or leave the defaults) and apply. &lt;br /&gt;
###Now, you know for a fact that all the duplicate hits are gone. Are the larger matches you noticed before gone now too? &lt;br /&gt;
###What happens if you expand the search radius to, say, 3 arcsec? Are those matches likely legitimate matches?&lt;br /&gt;
##We still need to do a sanity check to see if the matches between what the Exoplanet Archive thinks is the star and what we think is the star is the right match. We pulled the Gaia (DR2) magnitude from the Exoplanet Archive, and we pulled the Gaia DR3 magnitude now.  The columns in our uploaded catalog have their original names plus &amp;quot;_01&amp;quot; appended to them. The columns retrieved from the matched catalog, in this case Gaia DR3, have their original names. In the version of the catalog we saved and uploaded to IRSA Viewer, the Gaia DR2 mag is therefore &amp;quot;sy_gaiamag_01&amp;quot;, and the Gaia DR3 magnitude is therefore &amp;quot;phot_g_mean_mag&amp;quot;. Make a plot that compares sy_gaiamag_01 and phot_g_mean_mag.&lt;br /&gt;
##What plot did you use? You may be tempted to try sy_gaiamag_01 vs. phot_g_mean_mag but can you find a better one? &lt;br /&gt;
##You probably have a situation where there are so many points that you only have a heatmap (binned greyscale) plot. How can you filter down the catalog so that you can identify individual objects that may be problematic? (Hint: maybe something somewhere like abs(&amp;quot;phot_g_mean_mag&amp;quot;-&amp;quot;sy_gaiamag_01&amp;quot;) &amp;gt; 0.1?) Do you notice anything in common about these stars?&lt;br /&gt;
##I note that we do still have the problem where individual planets are listed once but stars are listed more than once (e.g., Kepler 108 appears once for Kepler 108b and once for 108c), but these points should be plotted identically on top of each other in the plots; they just contribute to source counts. If you want to get rid of them, to first order, keep only those that have a &amp;quot;b&amp;quot; in the planet name, e.g., impose a filter &amp;quot;like '%b%'&amp;quot; on pl_name_01. This should omit all the planets that are 'c' or 'd' or 'e' ... you get the idea. It will keep any that have &amp;quot;b&amp;quot; in the root of their name, however. (This actually helps because it weeds down the catalog enough to see individual points!)&lt;br /&gt;
# ''Plot the Gaia absolute CMD diagram for the exoplanet host stars, corrected for the effects of extinction. Make two plots, one using the parallaxes to calculate G and the other using Gaia DR3 distances. What might be the cause of the differences you see? Create a plot to investigate this.''&lt;br /&gt;
##For this, we need to dig into the column definitions of the Gaia DR3 catalog -- see table above. You are going to want to plot on the x-axis B-R-E(B-R) to correct for the reddening, and on the y-axis, G-5logd-5-Ag. For the first request, you can invert the parallax to get the distance (watch your units), and for the second request, use the distance provided in the catalog. Pin the plots to compare them side-by-side.&lt;br /&gt;
##There are definitely points that are different. Click on points in either plot to find the corresponding rows in the catalog. Do you notice anything about the most discrepant points? The words and the code in the Colab notebook solutions do different things, but one could explore filtering to omit negative parallaxes or those with parallax_over_error &amp;lt; 5.&lt;br /&gt;
# ''Astrophysical Parameters from Gaia DR3'' &lt;br /&gt;
##These are not yet available at IRSA, so we are stopping here for the moment.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
(e.g., these are the &amp;quot;Lego bricks&amp;quot; to go investigate in order to build this &amp;quot;Lego kit.&amp;quot;)&lt;br /&gt;
*[[Filters]]&lt;br /&gt;
*[[Photometry (finding it)]]&lt;br /&gt;
*[[Gliese Catalog Explorations]] - things to do with nearby stars&lt;br /&gt;
*[[Getting your feet wet with catalogs and plots at IRSA]] - getting started playing with catalogs (tables) and plots&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Coherent_ideas_of_what_to_do_with_these_pieces&amp;diff=13859</id>
		<title>Coherent ideas of what to do with these pieces</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Coherent_ideas_of_what_to_do_with_these_pieces&amp;diff=13859"/>
		<updated>2022-10-06T16:32:25Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
Think of these as &amp;quot;Lego kits&amp;quot; to build .. you may need to go seek out the appropriate &amp;quot;Lego bricks&amp;quot; from the rest of the wiki (listed on each page) to supplement your skills in order to build these Lego kits.&lt;br /&gt;
&lt;br /&gt;
=Simpler=&lt;br /&gt;
&lt;br /&gt;
[[Literature: Observation and Inference]]&lt;br /&gt;
&lt;br /&gt;
[[Resolution Skills]] includes links to resolution worksheets by Dr. Luisa Rebull (see [[Measuring resolutions]] and the Resolution worksheets linked near the bottom of the [[Resolution Skills]] page). The most recent worksheets include some of the more general information on resolution, as well as sources specific to regions we were studying in those years. Similar worksheets could be developed for any given region.&lt;br /&gt;
&lt;br /&gt;
[[Measuring distances on images]] - includes link to activity [[Finding the velocity of a high-proper-motion star in IC2118‎‎]] &lt;br /&gt;
&lt;br /&gt;
[[Getting your feet wet with images at IRSA]] - getting started playing with images&lt;br /&gt;
&lt;br /&gt;
[[Making 3-color images with IRSA tools (mostly)]] - includes links to online lab on making 3-color images.&lt;br /&gt;
&lt;br /&gt;
[[Dustier, Messier Messier Marathon]] - explore what different kinds of objects look like in the visible as compared to the IR.&lt;br /&gt;
&lt;br /&gt;
[[Gliese Catalog Explorations]] - things to do with nearby stars&lt;br /&gt;
&lt;br /&gt;
[[Getting your feet wet with catalogs and plots at IRSA]] - getting started playing with catalogs (tables) and plots&lt;br /&gt;
&lt;br /&gt;
[[File:Lab_Activity-_IRSA_Finder_Chart.pdf]] - Lab from NITARP Alumnus Danny Mattern. Uses Finder Chart to explore images of bright stars, with explorations into resolution/pixel sizes, space-based observatories. Also see [[File:Optical_Images_and_Stellar_Spectra_Lab_Activity.pdf]] which explores those bright stars in different ways (also by Danny Mattern).&lt;br /&gt;
&lt;br /&gt;
&amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;''things that need to be copied, updated, generated ab initio, etc.''&amp;lt;/font&amp;gt;&lt;br /&gt;
* 3-color image where your own image is one of hte planes (astrometry.net if need be)&lt;br /&gt;
* get list of cluster members. pull Gaia and 2mass and wise. make CMDs. get relative ages and disk fractions.&lt;br /&gt;
* Making CMDs/color-color diagrams and color selection - [[Taurus catalog]] has a catalog of legitimate young stars. Use this catalog to devise your own color selection approach to find young stars. Where do these objects fall with respect to either the Gutermuth or Koenig colors? Which ones would be retrieved or lost by these color selections? Would your method work if your catalog had a mixture of young stars and field stars?&lt;br /&gt;
* find rotation periods for set of K2 LCs - throw in periodic/not, noisy/not, sinusoidal/not, single/multi period, EBs&lt;br /&gt;
* take an apparent visual binary and use Finder Chart and Gaia to determine if the two are co-moving or not. If they are co-moving, use POSS, 2MASS, Gaia, even PanSTARRS to determine orbit. Don't forget to do a literature search to see if there is more information out there on the stars.&lt;br /&gt;
*&amp;quot;[[I need a sinusoidal light curve to play with]]&amp;quot;&lt;br /&gt;
&lt;br /&gt;
=Harder=&lt;br /&gt;
&lt;br /&gt;
* [[SSW2022 Activities]]&lt;br /&gt;
* [[Playing Around with Clusters]]&lt;br /&gt;
&lt;br /&gt;
* [https://drive.google.com/drive/folders/1uuyNLzeZxRqCoN_al1yvxqo-CL1nO7Gx?usp=sharing Images and Photometry with Image J] by Wendy Curtis, NITARP alum&lt;br /&gt;
* [https://drive.google.com/drive/folders/1JTeCs_wCAy53tWIKCqoyxTaicx1cmqCd?usp=sharing Distance to Cepheid in the Small Magellanic Cloud (SMC)] by Wendy Curtis, NITARP alum&lt;br /&gt;
* [https://drive.google.com/drive/folders/1EA9AFTcYP-XNaE0zec7FZxcC9-EGbkc-?usp=sharing Photometry of a Star Cluster -- Making an HR Diagram] by Wendy Curtis, NITARP alum&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
*IC2118 project&lt;br /&gt;
*CG4 project&lt;br /&gt;
*Li-rich giants project - extending to new samples, e.g., https://www.nature.com/articles/s41550-020-1139-7?utm_source=natastron_etoc&amp;amp;utm_medium=email&amp;amp;utm_campaign=toc_41550_4_11&amp;amp;utm_content=20201107&amp;amp;WT.ec_id=NATASTRON-202011&amp;amp;sap-outbound-id=8AD016DDFB5DD0066576339CC17DD068DCD50FEF&lt;br /&gt;
&lt;br /&gt;
* [http://burro.case.edu/Academics/Astr306/ClusterAGN/SDSSlab.html lab on Abell 2065 using SDSS] - can we adapt to use IRSA tools?&lt;br /&gt;
*[https://colab.research.google.com/drive/1WhQxvu80iw7yBbbeoiqOerrQo5eTe_VV?usp=sharing SDSS BOSS Plates Hubble's Law] - can we adapt?&lt;br /&gt;
&lt;br /&gt;
People want *anything* having to do with black holes. AGN light curves?&lt;br /&gt;
&lt;br /&gt;
= bookmarked from before=&lt;br /&gt;
&lt;br /&gt;
wise lesson plans?&lt;br /&gt;
&lt;br /&gt;
SOFIA lesson plans?&lt;br /&gt;
&lt;br /&gt;
Kepler lesson plans?&lt;br /&gt;
&lt;br /&gt;
oh, god, all the &amp;quot;working with&amp;quot; pages from all my summer teams up to a few years ago.&lt;br /&gt;
&lt;br /&gt;
[[Misc. Lesson Plans, Activities, and Useful Websites]]&lt;br /&gt;
Please feel free to contribute.  We do ask that you include your wiki signature (click on the username/date stamp button in the edit window) when submitting lesson plans and activities.  This will help users of the site in the event they have questions.  Also, when posting a website, please provide a brief description of the site along with the web link.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Future Research Project Ideas]] Here is a place to explore future research project ideas.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
[[Now what?]] So you've finished your year of NITARP and are looking for what's next...&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
= Vandana's brainstormed list=&lt;br /&gt;
xx just sent me this page, which should have a syllabus: https://sites.google.com/a/siena.edu/observational-astronomy/&lt;br /&gt;
&lt;br /&gt;
Some ideas:&lt;br /&gt;
*She has a lab about CCDs. Might be interesting to show how IR data collection is different. &lt;br /&gt;
*How do observing strategies in the IR differ from observing strategies in the optical?&lt;br /&gt;
* Optical measurements of SFRs can miss a lot of the action.&lt;br /&gt;
* The resolution in the IR is different than the optical. What should the resolution of Spitzer be? Go get the images. Measure the PSF. Did you get what you expected? &amp;lt;font color=&amp;quot;red&amp;quot;&amp;gt;(this one met by above materials)&amp;lt;/font&amp;gt;&lt;br /&gt;
* How does a galaxy's morphology depend on resolution?&lt;br /&gt;
I wonder if JWST already has tutorials like these? I'm focusing on galaxies because I'm assuming the NITARP ones focus more on stars? I need to look!&lt;br /&gt;
In general, she's not that interested in teaching her students HOW TO GET DATA. That part should be incidental to the topics above, which she said would be the kind of thing she wants them to learn.&lt;br /&gt;
Her link also includes a link to courses at other schools: https://sites.google.com/a/siena.edu/observational-astronomy/lab-resources/courses-at-other-schools&lt;br /&gt;
* Showing that stars are blackbodies? Except when they're not!&lt;br /&gt;
* Something about coordinate systems?&lt;br /&gt;
* Making color images that actually tell you the colors of stars?&lt;br /&gt;
* Comparing constellations with actual astronomical images?&lt;br /&gt;
* Planning an observing run, making a finder chart.&lt;br /&gt;
This professor actually teaches the Aladin interface explicitly: https://web.njit.edu/~gary/322/&lt;br /&gt;
* Something about proper motions? https://web.njit.edu/~gary/322/assets/Lab_3.pdf&lt;br /&gt;
* Looking at ZTF light curves, https://web.njit.edu/~gary/322/assets/Lab_4.pdf&lt;br /&gt;
* Measuring the transit of an exoplanet https://www.physics.rutgers.edu/ugrad/344/Lab5.pdf&lt;br /&gt;
* Fundamentals of IR spectroscopy&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=SSW2022_Activities&amp;diff=13858</id>
		<title>SSW2022 Activities</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=SSW2022_Activities&amp;diff=13858"/>
		<updated>2022-10-05T23:57:21Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Introduction ==&lt;br /&gt;
&lt;br /&gt;
The [https://nexsci.caltech.edu/conferences/ Sagan Summer Workshop] (SSW) is held annually and is meant to be a week-long summer &amp;quot;school&amp;quot; for early career astronomers (advanced undergraduates and graduate students/postdocs. The conferences traditionally have a substantial hands-on component. Each year, they pick a different theme. In 2022, the theme was [https://nexsci.caltech.edu/workshop/2022/agenda.shtml Exoplanet Science in the Gaia Era]. Several of the hands-on components from earlier in the week can be done using IRSA tools, so this is what we have reproduced here. See the SSW website for recordings of the talks that led into these hands-on sessions, as well as [https://nexsci.caltech.edu/workshop/2022/handson.shtml detailed instructions] as to how to do these exercises using the Google Colab Notebooks provided by the workshop team. &lt;br /&gt;
&lt;br /&gt;
== Monday Afternoon, Part 1==&lt;br /&gt;
&lt;br /&gt;
# ''Query the Gaia Catalog of Nearby Stars (GCNS) for all stars within 20 pc.'' - as of the time I am writing this, the GCNS isn't available at IRSA, so you have to either go directly to the [https://gea.esac.esa.int/archive/ ESA Gaia Archive] to get it, or get it from [https://vizier.cds.unistra.fr/viz-bin/VizieR VizieR], like at [https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/649/A6 this ftp site]. The GCNS is '''large''', but you can get it in csv format, which IRSA tools understand. To make this process easier, though, [https://caltech.box.com/s/ohqzfmhzf4ifc46caayh3fsyfpgxsn7p here] is a truncated csv version of this catalog. &lt;br /&gt;
##Download and uncompress that copy, or download your own copy from VizieR.&lt;br /&gt;
##Load that csv catalog into IRSA Viewer by clicking on the catalogs tab, then &amp;quot;Load Catalog File.&amp;quot;&lt;br /&gt;
##Filter down the catalog to only have the stars within 20 pc -- turn on filters and restrict the file to have only Plx&amp;gt;50. You should be left with ~2600 stars.&lt;br /&gt;
# ''Make an observed Gaia color-magnitude diagram for this sample.''&lt;br /&gt;
##Use IRSA Viewer to make a plot of G vs. B-R -- the columns in the zipped csv file above are x=BPmag-RPmag and y=Gmag. Don't forget to reverse the y axis! Pin the plot so that you can compare it to other plots.&lt;br /&gt;
# ''Make an absolute Gaia color-magnitude diagram for this sample.'' - that is, correct for distance because you have the parallax!&lt;br /&gt;
##Use IRSA Viewer to make a new plot of absolute G vs. B-R. Hint: Gmag- (5*log10(1000/Plx) - 5). &lt;br /&gt;
##Pin it so that you can compare the first plot with this one. &lt;br /&gt;
##What are some things that are the same and different between these two plots? Why?&lt;br /&gt;
##What happens to the outliers if you plot absolute G vs. G-R instead of G vs. B-R? (Why?)&lt;br /&gt;
# ''Make an absolute SDSS color-magnitude diagram for this sample.'' - the SDSS photometry is included in the GCNS catalog, and you still have the parallax, of course.&lt;br /&gt;
##The SDSS filters are the columns &amp;quot;gmag&amp;quot;, &amp;quot;rmag&amp;quot;, &amp;quot;imag&amp;quot;, and &amp;quot;zmag&amp;quot;. Try g vs. g-i. You may have to cope with some outliers either by filtering the catalog or changing the limits of the plot.&lt;br /&gt;
##Why does the SDSS CMD look like it does? Why is it worse or better than the Gaia CMD?&lt;br /&gt;
&lt;br /&gt;
== Monday Afternoon, Part 2==&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! name in Google Colab !! name in Exoplanet UI &lt;br /&gt;
|-&lt;br /&gt;
| pl_name || Names / Planet Name &lt;br /&gt;
|-&lt;br /&gt;
| hostname || Names / Host Name &lt;br /&gt;
|-&lt;br /&gt;
| ra || System Data / Position / RA (pick the one in degrees, not sexagesimal) &lt;br /&gt;
|-&lt;br /&gt;
| dec || System Data / Position / Dec (pick the one in degrees, not sexagesimal) &lt;br /&gt;
|-&lt;br /&gt;
| sy_gaiamag || System Data / Photometry / Gaia Magnitude &lt;br /&gt;
|-&lt;br /&gt;
| st_teff || Stellar data / Stellar Effective Temperature &lt;br /&gt;
|-&lt;br /&gt;
| st_logg || Stellar data / Stellar Surface Gravity &lt;br /&gt;
|-&lt;br /&gt;
| st_met || Stellar data / Stellar Metallicity (in dex) &lt;br /&gt;
|-&lt;br /&gt;
| st_lum || Stellar data / Stellar Luminosity &lt;br /&gt;
|-&lt;br /&gt;
| st_rad || Stellar data / Stellar Radius &lt;br /&gt;
|-&lt;br /&gt;
| st_age || Stellar data / Stellar Age &lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
{| class=&amp;quot;wikitable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Some critical columns in Gaia DR3 !! definition &lt;br /&gt;
|-&lt;br /&gt;
| phot_g_mean_mag || G mag &lt;br /&gt;
|-&lt;br /&gt;
| phot_bp_mean_mag || Bp mag &lt;br /&gt;
|-&lt;br /&gt;
| phot_rp_mean_mag || Rp mag &lt;br /&gt;
|-&lt;br /&gt;
| parallax || Parallax in mas &lt;br /&gt;
|-&lt;br /&gt;
|parallax_over_error || parallax divided by the error in parallax, e.g., a measure of signal-to-noise&lt;br /&gt;
|-&lt;br /&gt;
|distance_gspphot || Distance in pc&lt;br /&gt;
|-&lt;br /&gt;
| ebpminrp_gspphot || E(B-R), e.g., reddening in Bp-Rp&lt;br /&gt;
|-&lt;br /&gt;
| ag_gspphot || A_G, e.g., reddening in G&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
# ''Query the Exoplanet Archive''&lt;br /&gt;
##Go to the [https://exoplanetarchive.ipac.caltech.edu/ Exoplanet Archive], and find the [https://exoplanetarchive.ipac.caltech.edu/cgi-bin/TblView/nph-tblView?app=ExoTbls&amp;amp;config=PSCompPars Planetary Systems Composite Data] Table.&lt;br /&gt;
##Go up the the upper left of the screen and click on &amp;quot;select columns.&amp;quot; &amp;quot;Clear all&amp;quot; then select the columns corresponding to the columns in the SSW example -- see table above. Then click &amp;quot;update&amp;quot; and close the pop-up window. &lt;br /&gt;
##&amp;quot;Download table&amp;quot; to, well, download the table. Save it as an IPAC table file (&amp;quot;IPAC format&amp;quot;) to make things easier for the next step.&lt;br /&gt;
# ''Crossmatch the Exoplanet Archive and Gaia DR3''&lt;br /&gt;
##Load the [https://irsa.ipac.caltech.edu/applications/Gator/ IRSA Catalog Search Tool]&lt;br /&gt;
##Select Gaia.&lt;br /&gt;
##Select Gaia Source Catalogue (DR3).&lt;br /&gt;
##Select &amp;quot;Multi-Object Search.&amp;quot;&lt;br /&gt;
##Click on &amp;quot;Browse&amp;quot; to upload the IPAC Table file you just downloaded from the Exoplanet Archive.&lt;br /&gt;
##To match what they are doing in the Colab notebook most closely, leave &amp;quot;one-to-one matching&amp;quot; turned off, and give it a search radius of 1 arcsec.&lt;br /&gt;
#The Colab notebook at this point asks, ''We now have a table with all the Gaia DR3 data for the host stars from the Exoplanet Archive. Not all host stars have a match in Gaia DR3 and how do we known the matches found are correct? Are all host stars uniquely matched to a Gaia source? Come up with a basic check of the cross-matches. Think about plots you could make to spot any matches that might be dubious. Identify exoplanets matched to more than one Gaia DR3 source, and/or bad matches. Find a way to filter these out.''&lt;br /&gt;
##For us, we can bypass much of this, but let's try to explore the spirit of these questions. One of the columns that is returned by the Catalog Search Tool is a column called dist_x which is the distance between the requested position and the match. You can explore the distribution of this in any of a number of ways, but the way that gives the easiest-to-interpret results may seem a little klunky. &lt;br /&gt;
###Click on the diskette icon on the data table in the Catalog Search Tool to save the cross matched results as an IPAC table file.&lt;br /&gt;
###Start a new session of IRSA Viewer and upload that IPAC table file.&lt;br /&gt;
###Once it loads, click on the gears in the plot pane. &lt;br /&gt;
###Make a histogram of the dist_x column: Add new plot, pick &amp;quot;histogram&amp;quot;, enter dist_x, enter your desired parameters (or leave the defaults) and apply. &lt;br /&gt;
###Where do most of the matches fall? Does it make sense to keep matches up to 1 arcsec away, or is a smaller radius more appropriate?&lt;br /&gt;
##Let's go back a step, because we can bypass some of this. Return to your Catalog Search Tool matching, and this time, turn on &amp;quot;one-to-one matching&amp;quot; by clicking on the &amp;quot;One-to-one Match&amp;quot; checkbox, and give it a search radius of 1 arcsec. What this does is give you one line of output for each line of input, with the closest match from Gaia DR3 within the specified search radius. If there is no match, there will be a row of nulls for that input line. If there is more than one match within the radius, it will take the closest one.&lt;br /&gt;
###Click on the diskette icon on the data table in the Catalog Search Tool to save the cross matched results as an IPAC table file.&lt;br /&gt;
###Return to your prior session of IRSA Viewer and upload that new IPAC table file.&lt;br /&gt;
###Once it loads, click on the gears in the plot pane. &lt;br /&gt;
###Make a histogram of the dist_x column: Add new plot, pick &amp;quot;histogram&amp;quot;, enter dist_x, enter your desired parameters (or leave the defaults) and apply. &lt;br /&gt;
###Now, you know for a fact that all the duplicate hits are gone. Are the larger matches you noticed before gone now too? &lt;br /&gt;
###What happens if you expand the search radius to, say, 3 arcsec? Are those matches likely legitimate matches?&lt;br /&gt;
##We still need to do a sanity check to see if the matches between what the Exoplanet Archive thinks is the star and what we think is the star is the right match. We pulled the Gaia (DR2) magnitude from the Exoplanet Archive, and we pulled the Gaia DR3 magnitude now.  The columns in our uploaded catalog have their original names plus &amp;quot;_01&amp;quot; appended to them. The columns retrieved from the matched catalog, in this case Gaia DR3, have their original names. In the version of the catalog we saved and uploaded to IRSA Viewer, the Gaia DR2 mag is therefore &amp;quot;sy_gaiamag_01&amp;quot;, and the Gaia DR3 magnitude is therefore &amp;quot;phot_g_mean_mag&amp;quot;. Make a plot that compares sy_gaiamag_01 and phot_g_mean_mag.&lt;br /&gt;
##What plot did you use? You may be tempted to try sy_gaiamag_01 vs. phot_g_mean_mag but can you find a better one? &lt;br /&gt;
##You probably have a situation where there are so many points that you only have a heatmap (binned greyscale) plot. How can you filter down the catalog so that you can identify individual objects that may be problematic? (Hint: maybe something somewhere like abs(&amp;quot;phot_g_mean_mag&amp;quot;-&amp;quot;sy_gaiamag_01&amp;quot;) &amp;gt; 0.1?) Do you notice anything in common about these stars?&lt;br /&gt;
##I note that we do still have the problem where individual planets are listed once but stars are listed more than once (e.g., Kepler 108 appears once for Kepler 108b and once for 108c), but these points should be plotted identically on top of each other in the plots; they just contribute to source counts. If you want to get rid of them, to first order, keep only those that have a &amp;quot;b&amp;quot; in the planet name, e.g., impose a filter &amp;quot;like '%b%'&amp;quot; on pl_name_01. This should omit all the planets that are 'c' or 'd' or 'e' ... you get the idea. It will keep any that have &amp;quot;b&amp;quot; in the root of their name, however. (This actually helps because it weeds down the catalog enough to see individual points!)&lt;br /&gt;
# ''Plot the Gaia absolute CMD diagram for the exoplanet host stars, corrected for the effects of extinction. Make two plots, one using the parallaxes to calculate G and the other using Gaia DR3 distances. What might be the cause of the differences you see? Create a plot to investigate this.''&lt;br /&gt;
##For this, we need to dig into the column definitions of the Gaia DR3 catalog -- see table above. You are going to want to plot on the x-axis B-R-E(B-R) to correct for the reddening, and on the y-axis, G-5logd-5-Ag. For the first request, you can invert the parallax to get the distance (watch your units), and for the second request, use the distance provided in the catalog. Pin the plots to compare them side-by-side.&lt;br /&gt;
##There are definitely points that are different. Click on points in either plot to find the corresponding rows in the catalog. Do you notice anything about the most discrepant points? The words and the code in the Colab notebook solutions do different things, but one could explore filtering to omit negative parallaxes or those with parallax_over_error &amp;lt; 5.&lt;br /&gt;
# ''Astrophysical Parameters from Gaia DR3'' &lt;br /&gt;
##These are not yet available at IRSA, so we are stopping here for the moment.&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Getting_your_feet_wet_with_catalogs_and_plots_at_IRSA&amp;diff=13857</id>
		<title>Getting your feet wet with catalogs and plots at IRSA</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Getting_your_feet_wet_with_catalogs_and_plots_at_IRSA&amp;diff=13857"/>
		<updated>2022-10-05T23:55:39Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Part 1=&lt;br /&gt;
&lt;br /&gt;
Based in part on [[Gliese Catalog Explorations]], this activity suggestion works with the Gliese-Jareiss catalog to (a) get comfortable with working with catalogs and plots at IRSA and (b) explore an optical color-magnitude diagram, as well as using SIMBAD.&lt;br /&gt;
&lt;br /&gt;
This [https://ui.adsabs.harvard.edu/abs/2010PASP..122..885S/abstract PASP paper] presents an updated version of the Gliese-Jareiss catalog of nearby stars. In order to get this source list into IRSA tools, you need to get it into [https://irsa.ipac.caltech.edu/applications/DDGEN/Doc/ipac_tbl.html IPAC Table Format], which is just ASCII but it has to have the right formatting. If you get it &amp;quot;close enough&amp;quot; to IPAC table format, you can pass it through [https://irsa.ipac.caltech.edu/applications/TblValidator/ IRSA's IPAC Table Validator] which can make formatting corrections. [https://vmcoolwiki.ipac.caltech.edu/images/1/1a/Gj.tbl.txt| Here] is the IPAC table I constructed from these sources. I don't know if the wiki will preserve the formatting of that sufficiently, so you may wish to save it, make sure it has a .tbl extension, and pass your copy through the Table Validator to be safe.&lt;br /&gt;
&lt;br /&gt;
(The positions in that catalog should be pretty good; they come from 2MASS, so they are J2000. However, these stars are often close enough that they have a high enough proper motion that they may have moved enough that finding a match automatically may be hard!)&lt;br /&gt;
&lt;br /&gt;
Go to the [https://irsa.ipac.caltech.edu/applications/Gator/ IRSA Catalog Search Tool], pick Gaia DR3, do a multi-object search, 1-to-1 matching with a 5 arcsecond radius, and upload this list of sources (saved as an IPAC table file with the extension .tbl). &lt;br /&gt;
&lt;br /&gt;
Make a color-magnitude diagram! You can put G (phot_g_mean_mag) on the y-axis (don’t forget to reverse the y axis to put bright objects at the top) and either the field bp_rp (which is B-R) or explicitly “phot_bp_mean_mag-phot_rp_mean_mag” on the x-axis. Look at that CMD. But wait! You can do better.&lt;br /&gt;
&lt;br /&gt;
Because you have matched to Gaia data, you now have distances to these stars, so you can do more than just make a color-magnitude diagram; you can make a color-''absolute'' magnitude diagram! However, '''parallax''' is tabulated, not distance. Note that the parallax is tabulated in units of milliarcsec (mas). Because the IRSA plotting can do simple mathematical manipulations including logarithms, you can use the information there to make an absolute color-magnitude diagram. (Use ''phot_g_mean_mag- (5*log10(1000/parallax) - 5)'' for the y axis, and don’t forget to reverse the y axis to put bright objects at the top. For the x axis, use either the field bp_rp (which is B-R) or explicitly do the subtraction with phot_bp_mean_mag-phot_rp_mean_mag.) Look at how much better your diagram looks when you take distances into account! The scatter goes way down on the main sequence, and the giants and white dwarfs differentiate themselves much more clearly. &lt;br /&gt;
&lt;br /&gt;
'''Science''': Which stars are white dwarfs in your diagram? Which stars are giants in your diagram? Click on any white dwarf. The star corresponding to the point in the plot is highlighted in the table. Identify that source in the list. Copy its name. Go to another browser tab/window and go to [http://simbad.u-strasbg.fr/simbad/ Simbad]. Search by identifier, paste in the name, and search. Does Simbad think that target is a white dwarf?  If it can’t find the object by name, copy the position and search by position. If you use a large search radius, it might give you a list of sources. If it does that, then the list it gives you is sorted by position, and the source closest to your position is at the top of the list, so the first source on the list is likely to match the position you gave it.&lt;br /&gt;
&lt;br /&gt;
'''Extension''': scroll down and find the references on the object. Ask it to give you the reference list. Find the most recent paper that mentions this object. Is it a paper about Gaia observations of white dwarfs? What is it telling you about this target? Do it again for another white dwarf.&lt;br /&gt;
&lt;br /&gt;
Repeat for any red giant. Or any high mass main sequence star (what type are the earliest main sequence stars you can find in the catalog?). Or any M main sequence star. &lt;br /&gt;
&lt;br /&gt;
'''Skill building:''' &lt;br /&gt;
* Filter the catalog. How many of the stars don’t have matches in Gaia? What happens to the fraction that is matched if you change the 1-to-1 matching radius to something larger or smaller? What are the risks of just setting the matching radius to 15 or 20 arcsec? &lt;br /&gt;
* Sort the catalog. Which is the closest/furthest star from us in the list? ''Caution'': The column near the left that has &amp;quot;dist&amp;quot; in it is not the distance of the source to us. What do you think that distance column actually means? hint: the second column near it is position angle. In order to answer the &amp;quot;closest/furthest&amp;quot; star question, you will need to use the parallax column.  Is Alpha Cen or Proxima Cen in the list?&lt;br /&gt;
* Where does the closest or furthest star with G, B, and R end up in the observed CMD? In the absolute CMD? Is the closest/furthest star a giant or dwarf?&lt;br /&gt;
&lt;br /&gt;
'''TOUGH Challenge''', tougher than I meant for it to be originally: How might you find main sequence binaries in this catalog?&lt;br /&gt;
&lt;br /&gt;
Possibly relevant IRSA videos (links may be out of date; if they are, there should be a more recent one with a similar name in the [https://www.youtube.com/channel/UCIysJbamhNnlu0Bgdrwxn_w IRSA YouTube feed]):&lt;br /&gt;
* https://youtu.be/xy97_aT8Jx0 introduction to plots&lt;br /&gt;
* https://youtu.be/IGQB8a4YY4U making more sophisticated plots&lt;br /&gt;
* https://youtu.be/vZOIJR3-StY catalog query: one-to-one matching&lt;br /&gt;
* https://youtu.be/CaNhqcdlVFU catalog query overview&lt;br /&gt;
&lt;br /&gt;
'''HINTS:''' [[Getting your feet wet with catalogs and plots at IRSA Hints]]&lt;br /&gt;
&lt;br /&gt;
=Part 2=&lt;br /&gt;
&lt;br /&gt;
Goal: Compare color-mag and color-color diagrams for the young stars in Taurus and the Gliese-Jareiss catalog of nearby stars to see how different they are. (Hint: they are very different in many ways!)&lt;br /&gt;
&lt;br /&gt;
Do the prior activity to get Gliese-Jareiss catalog matched to Gaia and loaded into one IRSA Catalog search window.  Get the Taurus catalog from [https://ui.adsabs.harvard.edu/abs/2018AJ....156..271L/abstract here] -- my version is [https://vmcoolwiki.ipac.caltech.edu/index.php/File:Taurus.luhman.tbl.txt here] but you will have to do the same tricks you did above to ensure the formatting and filename are both right.&lt;br /&gt;
&lt;br /&gt;
This time, Luhman has already done the catalog matching for us, and this catalog has all the Gaia, 2MASS, Spitzer, and WISE matches included. Start IRSA Viewer, click on the catalogs tab, and upload this taurus.tbl file into IRSA Viewer. It should recognize it as a tbl file and interpret all the columns correctly. &lt;br /&gt;
&lt;br /&gt;
Make a color- absolute magnitude diagram for Taurus. Now the columns are named differently, so you need bmag-rmag for the x-axis and, for the y-axis, gmag - (5*log10(1000/par) - 5).&lt;br /&gt;
&lt;br /&gt;
'''Science''': why does this Taurus CMD look so different than the Gliese-Jareiss one? Why are there points below the main sequence in Taurus?&lt;br /&gt;
&lt;br /&gt;
Go back to your Gliese-Jareiss browser window. Go back to the catalog search. This time, do a 2MASS point source catalog search, again a multi-object search (on the Gliese-Jareiss catalog), 1-to-1 matching, 3 arcsecond radius. Change the plot to be J-H on the y-axis (j_m-h_m) and H-K on the x-axis (h_m-k_m). Note that there are some clearly not-real data points that are large outliers in this plot when you first make it. In order to get rid of them, you will need to filter down the table to get rid of the limits. The best way to do this is to filter on j_snr&amp;gt;0, h_snr&amp;gt;0, and k_snr&amp;gt;0. Note that this immediately makes the plot much better behaved.&lt;br /&gt;
&lt;br /&gt;
Go back to your Taurus browser window, and make the same JHK plot there. (jmag-hmag and hmag-kmag). In this catalog, there are no upper limits, so the plot is better behaved. Does it look like the Gliese-Jareiss one? Why or why not?&lt;br /&gt;
&lt;br /&gt;
Repeat this for Gliese-Jareiss and AllWISE, [W1] vs. [W1]-[W4] (w1mpro vs. w1mpro-w4mpro). And for Taurus (w1mag vs w1mag-w4mag). These plots look HUGELY different from each other. Why? &lt;br /&gt;
&lt;br /&gt;
'''Challenge''': What is the deal with the things brighter than [W1]~4 in Gliese-Jareiss? Why does this plot do that?&lt;br /&gt;
&lt;br /&gt;
'''Challenge''': Why haven’t I asked you to do this for IRAC? &lt;br /&gt;
&lt;br /&gt;
'''Challenge''': Try any other color-mag or color-color combination you want and compare Gliese-Jareiss with Taurus. Do the two look the same or different in your chosen parameter space?&lt;br /&gt;
&lt;br /&gt;
'''HINTS:''' [[Getting your feet wet with catalogs and plots at IRSA Hints]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
	<entry>
		<id>https://vmcoolwiki.ipac.caltech.edu/index.php?title=Finding_the_velocity_of_a_high-proper-motion_star_in_IC2118&amp;diff=13856</id>
		<title>Finding the velocity of a high-proper-motion star in IC2118</title>
		<link rel="alternate" type="text/html" href="https://vmcoolwiki.ipac.caltech.edu/index.php?title=Finding_the_velocity_of_a_high-proper-motion_star_in_IC2118&amp;diff=13856"/>
		<updated>2022-10-05T23:53:46Z</updated>

		<summary type="html">&lt;p&gt;Rebull: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;&lt;br /&gt;
=Introduction=&lt;br /&gt;
[https://ui.adsabs.harvard.edu/abs/2010ApJ...720...46G/abstract This paper] was a result of one of the very first NITARP teams, when it was still the Spitzer program. &lt;br /&gt;
&lt;br /&gt;
IC2118 is also known as the Witch Head Nebula, and is off the knee of Orion.&lt;br /&gt;
&lt;br /&gt;
When we were working on finding new YSOs in IC 2118, we found a high proper motion star.&lt;br /&gt;
&lt;br /&gt;
=You can find the high proper motion star=&lt;br /&gt;
&lt;br /&gt;
In general, stars don't move very fast by human standards. In order to find stars that move, it's easier if you have images taken over a long time baseline to give the stars time to move enough for you to see it. Alternatively, you need to move your baseline and make very careful measurements (for related information on measuring parallax, which is easier than proper motions, see [https://www.esa.int/Science_Exploration/Space_Science/Gaia/Parallax Gaia] and the [http://pluto.jhuapl.edu/Learn/Get-Involved.php#Parallax-Program New Horizons parallax project]).&lt;br /&gt;
&lt;br /&gt;
Fortunately, you have easy access to a time baseline of more than 50 years -- POSS photographic plates were taken in the 1950s and the Spitzer data were taken in the mid-2000s. Use IRSA Viewer to pull &amp;quot;big enough&amp;quot; images of IC2118 from POSS and from Spitzer (use the SEIP). You will need to decide how big is &amp;quot;big enough.&amp;quot; Use IRSA Viewer to make a 3-color image using one of the earliest POSS images for at least one plane and one of the Spitzer/IRAC images for another plane. Does the high-proper-motion star jump out at you?&lt;br /&gt;
&lt;br /&gt;
Identify the position of the high proper motion star in at least two epochs. (You have easy access to a third epoch from the late 1990s from 2MASS.) Do this by hand or look up the derived (sub-arc-second) position for the star at each epoch.&lt;br /&gt;
&lt;br /&gt;
=Do the math!=&lt;br /&gt;
&lt;br /&gt;
Figure out how far it has moved in the available time. Calculate the spherical trig properly. Make a note of the dates precisely. Calculate the average proper motion (in RA and Dec directions).  Do you get the same numbers we did in section 4.6 of the IC2118 paper?&lt;br /&gt;
&lt;br /&gt;
Since we did this work, more data have been released. Can you find this star in Gaia DR2 or DR3? What parallax and proper motion did they get? How does it compare to our value from the paper, or your calculated value? (Did we get it right, or at least close?) DR3 includes both parallaxes and distances. Are they consistent with each other? Advanced: use Bailer-Jones et al. (2018 or 2021) to get the corrected distance for this thing, as opposed to just inverting the parallax (you can look up individual objects in catalogs that are not at IRSA by using [https://vizier.cds.unistra.fr/viz-bin/VizieR VizieR]). Why does this matter? (To get Bailer-Jones et al. distances, you may need to go elsewhere; bonus points for getting into ESA and working from there rather than VizieR.)&lt;br /&gt;
&lt;br /&gt;
Calculate the true space velocity of this star, or at least the projected space velocity assuming ~50 pc distance. Is it a runaway? (Will it escape the galaxy?) You'll need to look up a bunch of supporting information to figure this out.&lt;br /&gt;
&lt;br /&gt;
=Relevant topics from the rest of the wiki=&lt;br /&gt;
(e.g., these are the &amp;quot;Lego bricks&amp;quot; to go investigate in order to build this &amp;quot;Lego kit.&amp;quot;)&lt;br /&gt;
*[[FITS format]]&lt;br /&gt;
*[[Finding FITS files]]&lt;br /&gt;
*[[Viewing FITS files]] &lt;br /&gt;
*[[All ds9 information in one place]]&lt;br /&gt;
*[[Overview of measuring distances]]&lt;br /&gt;
*[[Photometry (finding it)]]&lt;/div&gt;</summary>
		<author><name>Rebull</name></author>
		
	</entry>
</feed>