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[ascl:2403.004] BTSbot: Automated identification of supernovae with multi-modal deep learning

BTSbot automates real-time identification of bright extragalactic transients in Zwicky Transient Facility (ZTF) data. A multi-modal convolutional neural network, BTSbot provides a bright transient score to individual ZTF detections using their image data and 25 extracted features. The package eliminates the need for daily visual inspection of new transients by automatically identifying and requesting spectroscopic follow-up observations of new bright transient candidates. BTSbot recovers all bright transients in our test split and performs on par with human experts in terms of identification speed (on average, ∼1 hour quicker than scanners).

Code site:
https://github.com/nabeelre/BTSbot
Described in:
https://ui.adsabs.harvard.edu/abs/2024arXiv240115167R
Bibcode:
2024ascl.soft03004R

Views: 428

ascl:2403.004
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