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Title: Electromagnetic counterparts to gravitational wave events from Gaia
Authors: Kostrzewa Rutkowska, Z.
Jonker, P. G.
Hodgkin, S. T.
Eappachen, D.
Harrison, D. L.
Koposov, S. E.
Rixon, G.
Wyrzykowski, L.
Yoldas, A.
Breedt, E.
Delgado, A.
Van Leeuwen, M.
Wevers, T.
Burgess, P. W.
De Angeli, D.
Evans, D. W.
Osborne, P. J.
Riello, M.
Keywords: Gravitational waves;Transients;Methods: observational;Surveys
Issue Date: 13-Feb-2020
Publisher: Oxford Academics: Blackwell Publishing
DOI: 10.1093/mnras/staa436
Published version:
Citation: Monthly Notices of the Royal Astronomical Society 493(3): 3264–3273(2020)
Abstract: The recent discoveries of gravitational wave events and in one case also its electromagnetic (EM) counterpart allow us to study the Universe in a novel way. The increased sensitivity of the LIGO and Virgo detectors has opened the possibility for regular detections of EM transient events from mergers of stellar remnants. Gravitational wave sources are expected to have sky localization up to a few hundred square degrees, thus Gaia as an all-sky multi-epoch photometric survey has the potential to be a good tool to search for the EM counterparts. In this paper, we study the possibility of detecting EM counterparts to gravitational wave sources using the Gaia Science Alerts system. We develop an extension to current used algorithms to find transients and test its capabilities in discovering candidate transients on a sample of events from the observation periods O1 and O2 of LIGO and Virgo. For the gravitational wave events from the current run O3, we expect that about 16 (25) per cent should fall in sky regions observed by Gaia 7 (10) d after gravitational wave. The new algorithm will provide about 21 candidates per day from the whole sky.
Description: The GOST only provides a forecast of the time when targets cross the Gaia Focal Plane based on the scanning law of Gaia. However, it does not take into account operational activities preventing nominal observations nor the gaps between CCDs on the Focal Plane. Hence, the real number of scans may differ from the predictions.
E-ISSN: 1365-2966
ISSN: 0035-8711
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