1. Deep Learning of Astronomical Spectroscopy
J. Xavier Prochaska
(UC Santa Cruz)
Also starring: D. Parks, S. Dong, Z. Cai, V. Jankov

2. Who am I? J. Xavier Prochaska
Professor of Astronomy & Astrophysics -- Spectroscopist
(Former) Astronomer of UC Observatories
First-class programmer (I think)
Obsessed fan of Deep Learning
Poised to dedicate the rest(?!) of my career to this adventure

3. Spectroscopy Astronomy Astrophysics Discovery, color, shape, location
Velocity, composition, density, mass

4. Spectrum
2D Spectrum (Image)
1D Spectrum (array)

5. (Large) Spectral Datasets
SDSS/BOSS (present)
DESI (future)
Spectra of ~1 million sources
Spectra of ~20 million sources

6. Hydrogen Atom: “Lyman Alpha”
By A_hidrogen_szinkepei.jpg: User:Szdoriderivative work: OrangeDog (talk • contribs) - A_hidrogen_szinkepei.jpg, CC BY 2.5,

8. Damped Lya System (Galaxy)

9. CNN Classification + Spectral Analysis
400 pixel window
Parks, X, Dong, Cai 2018

10. CNN Results Galaxy Surface Galaxy Redshift Density (position)
Parks, X, Dong, Cai 2018

11. New Results
CNN learned to ignore sky line
Parks, X, Dong, Cai 2018

12. Peering into the Black Box..
Did the CNN learn the Lorentzian profile?!

13. SPectral Image Typing (SPIT)
Jankov & X 2018

14. Future Work: U-net for Feature Detection
Cai & X 2019

15. Future Work: GAN for outlier detection
X & Huertas-Company 2019

16. Future Work: RNN for system detection
Dong et al. 2019