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UV excess in low mass stars #10
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UV excess in low mass stars #10
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Updates to old notebook: - Changed SMC target to new one - Extended wavelength range studied to better see the differences between SMC and LMC extinction curves - Created exercise for the read to see (with solutions) - Added citations/additional resources
Updates to old notebook: - Added new citations - Included SIMBAD query using astroquery - Started included parametrization of curves (not finished, LMC fit not correct yet)
Updates to old notebook: - Added new citations - Fixed parametrization of curves * Note: SMC target chosen has sparse data, which makes data-fitting not optimal, maybe example target should be changed - Fixed NaN values in data - Added documentation to functions - Small changes to overall structure and outputs format
Initial draft for tutorial UV_excess_in_low_mass_stars. So far: - Initial structure of notebook - Tentative learning goals - Brief intro in light curves and csv files - Example of light curve with gPhoton (standard example to learn to use gPhoton, not related to the goal of notebook) - Additional resources + citations
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Initial draft for UV_excess_for_low_mass_stars So far: - Initial structure of notebook - Tentative learning goals - Short introduction on light curves and csv files - Create and plot light curve using gPhoton (standard example to learn how to use gPhoton, not related with goal of tutorial) - Additional resources + citations + imports
Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
This looks like a good start but I'm not sure I'm following the story. The learning goals are about UV excess but than the content is about light curves. Let us know if you need help or when it's ready for review. |
Updates: - GALEX introduction - gFind to check if target is in database - gAperture to download light curve
Indeed I still want some guidance on how exactly we want to characterize and study the UV excess, Scott has told me that David Rodriguez may be the person to ask about this, but he is on holidays until the 14th, so for now I am looking online for different articles that may be relevant and completing the parts about accessing GALEX using gPhoton! |
Includes: - Data access to GUVcat through author's webpage - Data downloading from URL - Data accessing with pandas for .csv files
Updates from last version: - Data reduction included from original catalog Criteria: * Source has both NUV and FUV magnitudes * Only one source within 2.5" * Not an extended object - Color-color diagram
Updates: - Target: TWA - Search by coordinates in GUVCat: NUV magnitude - Search by ID in Simbad: V, K magnitude - Match in case of missing value - Color-color diagram Problem: GUVCat from author's webpage is divided each 5 degrees in galactic latitude, and TWA is dispersed over wider ranges. Additionally, each 5 degrees catalog takes up to an hour to download from URL.
New tutorial structure based on David Rodriguez's guidance: - Access GUVCat via the Virtual Observatory - Look up 1 source and explore data provided by VO - Look up all TWA and store NUV magnitude - Look up V and K mags for TWA in Simbad - Match both queries - Create color-color diagram: NUV-V vs. V-K
Updated tutorial: - Addition of Hipparcos sample of older star for color-color comparison - Exercise for the reader to recreate all the steps of the tutorial for older-stars sample + compare results - Addition of color-coded scatter plot to display age information in color-color diagram Issue: some targets that have been observed by Galex do not show up in GUVCat VO, Brian McLean is looking into this issue, for now we are just using those targets that can be accessed via coordinate query through GUVCat VO.
Updates to tutorial: - Changed old stars target - Added query in VizieR catalog of 512 sources - Changed structure of tutorial, now color-color is the goal of the tutorial - Exercise for this tutorial is still TBD
Updates to tutorial: - Fixed long outputs to make it more readable - Creation of exercise
Complementary file for tutorial containing coordinates to almost all TWA members (to be used inside tutorial)
Updates to tutorial: - Exercise without solution - Brief explanation about TW Hya after exercise - Correction of outliers
Fixed typos inside Tutorial
I think this looks great. One thing I would perhaps change is that the mention that GALEX can be found at "the author's website" is very odd. GALEX is not a paper with an author and that's not even the mission website. I would rephrase that as Also, we should probably list where we got the TWA stars from. I can't remember if I sent those to you or you grabbed them from a paper or from Simbad or elsewhere. Just for reproduceability in terms of the input data. @ttdu you may want to have a look at this in general, too. |
Changes made: - Fixed wording about where GALEX can be found - Specified where the coordinates for TWA come from -> SIMBAD
Fixed it! Thank you for the comments @dr-rodriguez |
Hey @cpsanchez! I have some feedback for you as well; I tried reviewNB, but I had multiple comments per cell, so I'll Slack you a notebook that has my suggestions edited in. Otherwise, two bigger things to mention:
The notebook is looking great so far, and I hope my comments help you polish things up! |
Changes performed: - Adopted new STScI template for tutorial - Included table of contents + changed distribution - Changed some terminology
Changes performed: - Adopted new STScI template for tutorial
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I'd recommend splitting these up into multiple cells.
For the learning goals, can you add some more specificity? For example, for "Download data" I presume (after having read the intro) this will specifically be GALEX spectra and we'll be using astroquery to download it from the MAST archive? [Haha, nope! I was wrong. I came back to this comment after reading through the rest of the tutorial.]
It seems the learning goals might be more like....
- Load a catalog of star coordinates from a text file
- Load a catalog of star coordinates from Vizier
- Search GUVcat and Simbad for photometry of target stars given coordinates
- Create a color-color diagram of stellar populations and interpret the results
That might not be extensive, there is probably more here that I am missing because the tutorial is very comprehensive, but those are the ones that stood out to me upon first review.
As the reader I was also hoping for a bit more at the end of the introduction. I'm left wondering, of all thse cool things we can do with GALEX(look for variable, detect binaries, detect chromospheres), are we actually going to do one in the tutorial? Which one?
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I am not at all familiar with pyvo! So this might also be a good thing to add to the introduction, give the reader the setup of 1) what they will be do (the science goals) and 2) the tools they will use for it.
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Recommend to change the title to say what we are going to do with GUVcat.
Also need some information, either here or back up at the intro, about what GUVcat is and how we will use it.
I appreciate the explanation of the naming conventon!
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Why TWA 1? I realized through context this must be a star. So in the introduction, you could say that we plan to study TWA 1 and explain why you chose that one. Something interesting about it?
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Can you add a markdown cell above this code block that explains what you are doing? I can follow along that you are specifying the coordinates you are looking for and you want results in a radius of 10 arcseconds. But, for example, will the user always use that URL to search GALEX though VO? Can you link to documentation to where a new user would have found that URL in the first place?
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below the name 'FLUX_K' it indicates it is a magnitude!
below the name 'FLUX_K' the unit indicates it is a magnitude!
Rather than "problematic" values, are they "missing" values?
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; instead of , before "we will"
A bit more explanation will help here, since there are 20 lines of code coming up.
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Oops the output below says 41? Not sure if a typo or things changed! I found it helpful to not list specific numbers or outputs in my markdown cells in case they change in the future. So you can get around this by saying e.g. "We can check the length of the maK_TWA list to confirm that we have removed the missing values:"
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This is a good example of something that could be explained in the introduction. So we want to make a color-color diagram of two different populations: 1) the TW Hydra Asssociation, young stars whose coordinates are provided in a text file, and 2) a population of nearby M-dwarfs, old stars, the coordinates of which we'll get from a published catalog in Vizier. For both populations, we'll get the FUV, NUV magnitudes from GUVCat and the K, V magnitudes from Simbad.
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This is so interesting! This is also information that could be in the introduction. What am I looking for when I look at a color-color diagram?
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I made a number of in-line comments in ReviewNB, but I think the main suggestion is to rewrite the intro (now that you have the rest of it done) to let the reader know what the science question is and what tools we'll use to answer the question. |
Main changes to tutorial: - Changed introduction - Included more explanations about the science goal and how we will go about it - Changed structure of tutorial - Some vocabulary changes
Thank you so much @jrka for all your comments, I believe I had taken all of them into consideration. Nevertheless I will come back to this tutorial in a couple of days to give it a second overall review and make sure all the recommendations have been implemented! |
New branch for "UV excess in low mass stars"