Deep Learning of Astronomical Spectroscopy J. Xavier Prochaska (UC Santa Cruz) Also starring: D. Parks, S. Dong, Z. Cai, V. Jankov
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
Spectroscopy Astronomy Astrophysics Discovery, color, shape, location Velocity, composition, density, mass
Spectrum 2D Spectrum (Image) 1D Spectrum (array)
(Large) Spectral Datasets SDSS/BOSS (present) DESI (future) Spectra of ~1 million sources Spectra of ~20 million sources
Hydrogen Atom: “Lyman Alpha” By A_hidrogen_szinkepei.jpg: User:Szdoriderivative work: OrangeDog (talk • contribs) - A_hidrogen_szinkepei.jpg, CC BY 2.5, https://commons.wikimedia.org/w/index.php?curid=6273602
Damped Lya System (Galaxy)
CNN Classification + Spectral Analysis 400 pixel window Parks, X, Dong, Cai 2018
CNN Results Galaxy Surface Galaxy Redshift Density (position) Parks, X, Dong, Cai 2018
New Results CNN learned to ignore sky line Parks, X, Dong, Cai 2018
Peering into the Black Box.. Did the CNN learn the Lorentzian profile?!
SPectral Image Typing (SPIT) Jankov & X 2018
Future Work: U-net for Feature Detection Cai & X 2019
Future Work: GAN for outlier detection X & Huertas-Company 2019
Future Work: RNN for system detection Dong et al. 2019