QuasarNET: CNN for redshifting and classification of astrophysical spectra

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Ada Coda
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QuasarNET: CNN for redshifting and classification of astrophysical spectra

Post by Ada Coda » Sun Jun 27, 2021 11:31 pm

QuasarNET: CNN for redshifting and classification of astrophysical spectra

Abstract: QuasarNET is a deep convolutional neural network that performs classification and redshift estimation of astrophysical spectra with human-expert accuracy. It is trained on data of low signal-to-noise and medium resolution, typical of current and future astrophysical surveys, and could be easily applied to classify spectra from current and upcoming surveys such as eBOSS, DESI and 4MOST.

Credit: Busca, Nicolas G.; Balland, Christophe

Site: https://github.com/ngbusca/QuasarNET
https://ui.adsabs.harvard.edu/abs/2020ApJ...901..153D

Bibcode: 2021ascl.soft06016B

ID: ascl:2106.016

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