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Zelda: Fitting Lyman Alpha Line Profiles Using Deep Learning, Siddhartha Gurung-López, Max Gronke, Shun Saito, Silvia Bonoli, Álvaro A. Orsi
Zelda: Fitting Lyman Alpha Line Profiles Using Deep Learning, Siddhartha Gurung-López, Max Gronke, Shun Saito, Silvia Bonoli, Álvaro A. Orsi
Physics Faculty Research & Creative Works
We present zELDA (redshift Estimator for Line profiles of Distant Lyman Alpha emitters), an open-source code to fit Lyman α (Ly α) line profiles. The main motivation is to provide the community with an easy to use and fast tool to analyse Ly α line profiles uniformly to improve the understating of Ly α emitting galaxies. zELDA is based online profiles of the commonly used 'shell-model' pre-computed with the full Monte Carlo radiative transfer code LyaRT. Via interpolation between these spectra and the addition of noise, we assemble a suite of realistic Ly α spectra which we use to train …