Anomaly Detection and Approximate Similarity Searches of Transients in Real-time Data Streams

We present Lightcurve Anomaly Identification and Similarity Search ( LAISS ), an automated pipeline to detect anomalous astrophysical transients in real-time data streams. We deploy our anomaly detection model on the nightly Zwicky Transient Facility (ZTF) Alert Stream via the ANTARES broker, identi...

Descrizione completa

Dettagli Bibliografici

Autori principali:	P. D. Aleo, A. W. Engel, G. Narayan, C. R. Angus, K. Malanchev, K. Auchettl, V. F. Baldassare, A. Berres, T. J. L. de Boer, B. M. Boyd, K. C. Chambers, K. W. Davis, N. Esquivel, D. Farias, R. J. Foley, A. Gagliano, C. Gall, H. Gao, S. Gomez, M. Grayling, D. O. Jones, C.-C. Lin, E. A. Magnier, K. S. Mandel, T. Matheson, S. I. Raimundo, V. G. Shah, M. D. Soraisam, K. M. de Soto, S. Vicencio, V. A. Villar, R. J. Wainscoat
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	IOP Publishing 2024-01-01
Serie:	The Astrophysical Journal
Soggetti:	Supernovae Transient detection Astronomical methods Time domain astronomy Time series analysis Astrostatistics techniques
Accesso online:	https://doi.org/10.3847/1538-4357/ad6869
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!