FINK, a new generation of broker for the LSST community

0548561 - FZÚ 2022 RIV GB eng J - Journal Article
Moller, A. - Peloton, J. - Ishida, E.E.O. - Bajat, Armelle - Karpov, Sergey … Total 36 authors
FINK, a new generation of broker for the LSST community.
Monthly Notices of the Royal Astronomical Society. Roč. 501, č. 3 (2021), s. 3272-3288. ISSN 0035-8711. E-ISSN 1365-2966
R&D Projects: GA MŠMT EF15_003/0000437
Grant - others:OP VVV - CoGraDS(XE) CZ.02.1.01/0.0/0.0/15_003/0000437
Institutional support: RVO:68378271
Keywords : gravitational lensing: micro * methods: data analysis * surveys * software: data analysis * gamma-ray bursts * transients: supernovae
OECD category: Particles and field physics
Impact factor: 5.235, year: 2021
Method of publishing: Open access

fink is a broker designed to enable science with large time-domain alert streams such as the one from the upcoming Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). It exhibits traditional astronomy broker features such as automatized ingestion, annotation, selection, and redistribution of promising alerts for transient science. It is also designed to go beyond traditional broker features by providing real-time transient classification that is continuously improved by using state-of-the-art deep learning and adaptive learning techniques. These evolving added values will enable more accurate scientific output from LSST photometric data for diverse science cases while also leading to a higher incidence of new discoveries which shall accompany the evolution of the survey. In this paper, we introduce fink, its science motivation, architecture, and current status including first science verification cases using the Zwicky Transient Facility alert stream.
Permanent Link: http://hdl.handle.net/11104/0324615