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[ascl:2106.016] QuasarNET: CNN for redshifting and classification of astrophysical spectra

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.

Code site:
https://github.com/ngbusca/QuasarNET
Used in:
https://ui.adsabs.harvard.edu/abs/2020ApJ...901..153D
Described in:
https://ui.adsabs.harvard.edu/abs/2018arXiv180809955B
Bibcode:
2021ascl.soft06016B

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ascl:2106.016
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