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<scp>fink</scp>, a new generation of broker for the LSST community

A. MöllerLPC, Université Clermont Auvergne, CNRS/IN2P3, F-63000 Clermont-Ferrand, FranceJ. PelotonIJCLab, CNRS/IN2P3, Université Paris-Saclay, 91405, Orsay, FranceÉmille E. O. IshidaLPC, Université Clermont Auvergne, CNRS/IN2P3, F-63000 Clermont-Ferrand, FranceChris ArnaultIJCLab, CNRS/IN2P3, Université Paris-Saclay, 91405, Orsay, FranceE. BacheletLas Cumbres Observatory, 6740 Cortona Drive, Suite 102, Goleta, CA 93117, USATristan BlaineauIJCLab, CNRS/IN2P3, Université Paris-Saclay, 91405, Orsay, FranceD. BoutignyUniversité Grenoble-Alpes, Université Savoie Mont Blanc, CNRS/IN2P3 Laboratoire d’Annecy-le-Vieux de Physique des Particules, 74940 Annecy, FranceAbhishek ChauhanDepartment of Ocean Engineering and Naval Architecture, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, 721302, IndiaÉ. GanglerLPC, Université Clermont Auvergne, CNRS/IN2P3, F-63000 Clermont-Ferrand, FranceFabio HernandezCNRS, CC-IN2P3, 21 Avenue Pierre de Coubertin, CS70202, F-69627 Villeurbanne Cedex, FranceJulius HrivnacIJCLab, CNRS/IN2P3, Université Paris-Saclay, 91405, Orsay, FranceMarco LeoniDirection des Systèmes d’Information, Université Paris Sud, F-91405 Orsay Cedex, FranceN. LeroyIJCLab, CNRS/IN2P3, Université Paris-Saclay, 91405, Orsay, FranceM. MoniezIJCLab, CNRS/IN2P3, Université Paris-Saclay, 91405, Orsay, FranceSacha PateyronIJCLab, CNRS/IN2P3, Université Paris-Saclay, 91405, Orsay, FranceAdrien RamparisonIJCLab, CNRS/IN2P3, Université Paris-Saclay, 91405, Orsay, FranceD. TurpinDépartement d’Astrophysique, Instrumentation et Modélisation de Paris-Saclay, CNRS, CEA, Université Paris-Saclay, 91191 Gif-sur-Yvette, FranceR. AnsariIJCLab, CNRS/IN2P3, Université Paris-Saclay, 91405, Orsay, FranceTarek AllamCentre for Data Intensive Science, Department of Physics and Astronomy, University College London, London WC1E 6BT, UKArmelle BajatCEICO, Institute of Physics, Czech Academy of Sciences, 182 00 Prague, Czech RepublicBiswajit BiswasDepartment of Physics, Birla Institute of Technology and Science, Pilani, Pilani Campus, Rajasthan, 333031, IndiaA. BoucaudAstroParticule et Cosmologie, CNRS, Université de Paris, F-75013 Paris, FranceJ. BregeonCNRS-IN2P3, Laboratoire de Physique Subatomique et de Cosmologie (LPSC), 38000 Grenoble, FranceJ.E. CampagneIJCLab, CNRS/IN2P3, Université Paris-Saclay, 91405, Orsay, FranceJ. Cohen-TanugiLPC, Université Clermont Auvergne, CNRS/IN2P3, F-63000 Clermont-Ferrand, FranceA. ColeiroAstroParticule et Cosmologie, CNRS, Université de Paris, F-75013 Paris, FranceDamien DornicAix Marseille Université, CNRS/IN2P3, CPPM, 13009 Marseille, FranceD. FouchezAix Marseille Université, CNRS/IN2P3, CPPM, 13009 Marseille, FranceO. GodetIRAP UPS/CNRS/CNES, 9 avenue du colonel Roche, F-3028 Toulouse Cedex 04, FrancePhilippe GrisLPC, Université Clermont Auvergne, CNRS/IN2P3, F-63000 Clermont-Ferrand, FranceС. КарповCEICO, Institute of Physics, Czech Academy of Sciences, 182 00 Prague, Czech RepublicA. Nebot Gómez-MoránObservatoire Astronomique de Strasbourg, Université de Strasbourg, CNRS UMR 7550, 11 rue de l’Université , F-67000 Strasbourg, FranceJ. NeveuIJCLab, CNRS/IN2P3, Université Paris-Saclay, 91405, Orsay, FranceS. PlaszczynskiIJCLab, CNRS/IN2P3, Université Paris-Saclay, 91405, Orsay, FranceV. SavchenkoISDC, Department of Astronomy, University of Geneva, Chemin d’Ecogia, 16, CH-1290 Versoix, SwitzerlandN. A. WebbIRAP UPS/CNRS/CNES, 9 avenue du colonel Roche, F-3028 Toulouse Cedex 04, France
2020en
ABI

Abstract

ABSTRACT 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.

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Citations and references

Cited by 30 references