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Journal Articles Monthly Notices of the Royal Astronomical Society Year : 2021

Fink , a new generation of broker for the LSST community

Etienne Bachelet
  • Function : Author
Abhishek Chauhan
  • Function : Author
Damien Turpin
  • Function : Author
Tarek Allam
  • Function : Author
Armelle Bajat
  • Function : Author
Alexandre Boucaud
Olivier Godet
  • Function : Author
Sergey Karpov
  • Function : Author
Ada Nebot Gomez-Moran
  • Function : Author
Volodymyr Savchenko
  • Function : Author
Natalie Webb
  • Function : Author


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 automatised 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 which 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.
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Dates and versions

hal-03045627 , version 1 (08-12-2020)



Anais Möller, Julien Peloton, Emille E. O. Ishida, Chris Arnault, Etienne Bachelet, et al.. Fink , a new generation of broker for the LSST community. Monthly Notices of the Royal Astronomical Society, 2021, 501 (3), pp.3272-3288. ⟨10.1093/mnras/staa3602⟩. ⟨hal-03045627⟩
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