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[ascl:2003.007] RAPID: Real-time Automated Photometric IDentification

RAPID (Real-time Automated Photometric IDentification) classifies multiband photometric light curves into several different transient classes. It uses a deep recurrent neural network to produce time-varying classifications, and because it does not rely on deriving computationally expensive features from the data, it is well suited for processing alerts that wide-field surveys such as the Zwicky Transient Facility (ZTF) and the Large Synoptic Survey Telescope (LSST) will produce.

Code site:
https://astrorapid.readthedocs.io/en/latest/ https://github.com/daniel-muthukrishna/astrorapid
Described in:
https://ui.adsabs.harvard.edu/abs/2019PASP..131k8002M
Bibcode:
2020ascl.soft03007M

Views: 304

ascl:2003.007
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