Gaia Early Data Release 3: Gaia photometric science alerts
journal contributionposted on 2022-05-20, 09:04 authored by ST Hodgkin, DL Harrison, E Breedt, T Wevers, G Rixon, A Delgado, A Yoldas, Z Kostrzewa-Rutkowska, L Wyrzykowski, M van Leeuwen, N Blagorodnova, H Campbell, D Eappachen, M Fraser, N Ihanec, SE Koposov, K Kruszynska, G Marton, KA Rybicki, AGA Brown, PW Burgess, G Busso, S Cowell, F De Angeli, C Diener, DW Evans, G Gilmore, G Holland, PG Jonker, F van Leeuwen, F Mignard, PJ Osborne, J Portell, T Prusti, PJ Richards, M Riello, GM Seabroke, NA Walton, P Abraham, G Altavilla, SG Baker, U Bastian, P O'Brien, J de Bruijne, T Butterley, JM Carrasco, J Castaneda, JS Clark, G Clementini, CM Copperwheat, M Cropper, G Damljanovic, M Davidson, CJ Davis, M Dennefeld, VS Dhillon, C Dolding, M Dominik, P Esquej, L Eyer, C Fabricius, M Fridman, D Froebrich, N Garralda, A Gomboc, JJ Gonzalez-Vidal, R Guerra, NC Hambly, LK Hardy, B Holl, A Hourihane, J Japelj, DA Kann, C Kiss, C Knigge, U Kolb, S Komossa, A Kospal, G Kovacs, M Kun, G Leto, F Lewis, SP Littlefair, AA Mahabal, CG Mundell, Z Nagy, D Padeletti, L Palaversa, A Pigulski, ML Pretorius, W van Reeven, VARM Ribeiro, M Roelens, N Rowell, N Schartel, A Scholz, A Schwope, BM Sipocz, SJ Smartt, MD Smith, I Serraller, D Steeghs, M Sullivan, L Szabados, E Szegedi-Elek, P Tisserand, L Tomasella, S van Velzen, PA Whitelock, RW Wilson, DR Young
Context. Since July 2014, the Gaia mission has been engaged in a high-spatial-resolution, time-resolved, precise, accurate astrometric, and photometric survey of the entire sky. Aims. We present the Gaia Science Alerts project, which has been in operation since 1 June 2016. We describe the system which has been developed to enable the discovery and publication of transient photometric events as seen by Gaia. Methods. We outline the data handling, timings, and performances, and we describe the transient detection algorithms and filtering procedures needed to manage the high false alarm rate. We identify two classes of events: (1) sources which are new to Gaia and (2) Gaia sources which have undergone a significant brightening or fading. Validation of the Gaia transit astrometry and photometry was performed, followed by testing of the source environment to minimise contamination from Solar System objects, bright stars, and fainter near-neighbours. Results. We show that the Gaia Science Alerts project suffers from very low contamination, that is there are very few false-positives. We find that the external completeness for supernovae, CE = 0.46, is dominated by the Gaia scanning law and the requirement of detections from both fields-of-view. Where we have two or more scans the internal completeness is CI = 0.79 at 3 arcsec or larger from the centres of galaxies, but it drops closer in, especially within 1 arcsec. Conclusions. The per-Transit photometry for Gaia transients is precise to 1% at G = 13, and 3% at G = 19. The per-Transit astrometry is accurate to 55 mas when compared to Gaia DR2. The Gaia Science Alerts project is one of the most homogeneous and productive transient surveys in operation, and it is the only survey which covers the whole sky at high spatial resolution (subarcsecond), including the Galactic plane and bulge.
This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. Further details of funding authorities and individuals contributing to the success of the mission is shown at https://gea.esac.esa.int/archive/documentation/GEDR3/Miscellaneous/sec_acknowl/.
CitationHodgkin, S. T., et al. "Gaia Early Data Release 3-Gaia photometric science alerts." Astronomy & Astrophysics 652 (2021): A76.
Author affiliationSchool of Physics and Astronomy
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