Week 5: This time with galaxies

What I completed this last week:

  • Nearly finished the empirical spectrum -> synthetic photometry tutorial for a high H-alpha emission galaxy. This example can be seen here.
    • As you can see from the 1-1 plot at the end of the tutorial, the predicted photometry does not perform as well compared to the 1-1 plot for the first use-case. As Erik (one of my mentors, for anyone reading this who is not already one of my mentors) mentioned, even having a percentage error within 30% is not terrible if you just want a ballpark estimate of the required exposure time.
    • This systematic offset still bugs me though, because it seems like it could be easily solved:
I suppose the mystery continues, for now…
  • Took part in an astropy hack day at the Center for Computational Astrophysics in NYC! Erik and I got to work together in person, I met some astronomers I knew of but never actually met, and I got to witness a bit more of the inner workings of open source development. Also, free food. Lots of free food.

This week’s goals:

  • Try to solve the offset problem for example 2
    • Do the same analysis for multiple objects. Is the systematic error still there?
    • Plot bandpasses on top of spectrum
  • Begin working on synthetic *spectroscopy* (synspec)?
    • Is there an easy way to use synphot for synthetic spectroscopy?
    • See how long each run takes – ideally it should be fast, for people who want to run this on thousands of spectra
  • Begin working on a signal-to-noise predictor (maybe as an eventual method on Observation?)
Me when there’s free food

Longer term goals:

  • Make 4-5 notebooks which explore different use cases in order to get an idea of how we want to implement any changes or enhancements to synphot:
    1. Model spectrum -> Synthetic photometry
      • Ground-based example: existing APO notebook
      • Space-based example: existing APO notebook + Kepler
    2. Empirical spectrum -> Synthetic photometry
      • Example: Galaxy with high H-alpha emission observed by SDSS
    3. Model spectrum -> synthetic spectroscopy
      • Example: Observations of a G dwarf with CHEOPS at R~1k vs 100k – what count rates do you get?
    4. Empirical spectrum -> synthetic spectroscopy
      • Possible example: Some HII region spectrum -> how many hours to a S/N of X
  • Implement a signal-to-noise predictor
  • Create a pull request to Astroquery to enable queries to the filter VO service for filter transmittance curves

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