DASH: Deep Automated Supernova and Host classifier

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Ada Coda
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DASH: Deep Automated Supernova and Host classifier

Post by Ada Coda » Thu Feb 27, 2020 10:13 pm

DASH: Deep Automated Supernova and Host classifier

Abstract: DASH classifies the type, age, redshift and host for any supernova spectra based on the learned features, through use of a deep convolutional neural network to train a matching algorithm, of each supernova’s type and age. The Python library allows a user to classify spectra; the software is fast and can classify thousands of spectra in seconds. A graphical interface that enables a user to view and classify a spectrum is also available.

Credit: Muthukrishna, Daniel

Site: https://astrodash.readthedocs.io/en/latest/
https://ui.adsabs.harvard.edu/abs/2019ApJ...885...85M

Bibcode: 2020ascl.soft02009M

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2019ApJ...885...85M

ID: ascl:2002.009

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