/ML-for-Astro-tutorial

Tutorial for deep learning in astrophysics (SDSS spectral classification)

Primary LanguageJupyter NotebookBSD 3-Clause "New" or "Revised" LicenseBSD-3-Clause

ML-for-Astro-tutorial

Tutorial for deep learning in astrophysics (SDSS spectral classification)

Binder here: Binder

Google Colab link: drawing

Based on a more in-depth tutorial published on https://gitlab.rrz.uni-hamburg.de/

Contact: heneka@thphys.uni-heidelberg.de

Data used in folder data_spectra/ is part of the SDSS Data Release 16:

https://www.sdss.org/science/data-release-publications

Ahumada et al., The 16th Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra (Ahumada et al. 2020 ApJS 249, 3)

Retrieved from:

https://data.sdss.org/sas/dr16/sdss/spectro/redux/26/spectra/