Published March 2020 | Version Accepted Version + Published
Journal Article Open

The first six months of the Advanced LIGO's and Advanced Virgo's third observing run with GRANDMA

  • 1. ROR icon Astroparticle and Cosmology Laboratory
  • 2. ROR icon Azerbaijan National Academy of Sciences
  • 3. ROR icon Ilia State University
  • 4. ROR icon Samtskhe-Javakheti State University
  • 5. ROR icon Institut d'Astrophysique de Paris
  • 6. ROR icon Taras Shevchenko National University of Kyiv
  • 7. ROR icon Laboratoire d'Astrophysique de Marseille
  • 8. ROR icon Instituto de Astrofísica de Andalucía
  • 9. ROR icon Astrophysique Relativiste, Théories, Expériences, Métrologie, Instrumentation, Signaux
  • 10. ROR icon Ulugh Beg Astronomical Institute
  • 11. ROR icon University of Western Australia
  • 12. ROR icon Research Institute in Astrophysics and Planetology
  • 13. ROR icon Centre Hospitalier Universitaire de Toulouse
  • 14. ROR icon Wuzhou University
  • 15. ROR icon Astrophysique, Instrumentation et Modélisation
  • 16. ROR icon Laboratoire de Physique des 2 Infinis Irène Joliot-Curie
  • 17. ROR icon California Institute of Technology
  • 18. ROR icon National Institute for Subatomic Physics
  • 19. ROR icon National Astronomical Observatories
  • 20. ROR icon Tsinghua University

Abstract

We present the Global Rapid Advanced Network Devoted to the Multi-messenger Addicts (GRANDMA). The network consists of 21 telescopes with both photometric and spectroscopic facilities. They are connected together thanks to a dedicated infrastructure. The network aims at coordinating the observations of large sky position estimates of transient events to enhance their follow-up and reduce the delay between the initial detection and optical confirmation. The GRANDMA programme mainly focuses on follow-up of gravitational-wave alerts to find and characterize the electromagnetic counterpart during the third observational campaign of the Advanced LIGO and Advanced Virgo detectors. But it allows for follow-up of any transient alerts involving neutrinos or gamma-ray bursts, even those with poor spatial localization. We present the different facilities, tools, and methods we developed for this network and show its efficiency using observations of LIGO/Virgo S190425z, a binary neutron star merger candidate. We furthermore report on all GRANDMA follow-up observations performed during the first six months of the LIGO–Virgo observational campaign, and we derive constraints on the kilonova properties assuming that the events' locations were imaged by our telescopes.

Additional Information

© 2019 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society. This article is published and distributed under the terms of the Oxford University Press, Standard Journals Publication Model (https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model). Received: 10 July 2019; Revision received: 28 October 2019; Accepted: 31 October 2019; Published: 11 November 2019. Parts of this research were conducted by the Australian Research Council Centre of Excellence for Gravitational Wave Discovery (OzGrav), through project number CE170100004. EJH acknowledges support from a Australian Research Council DECRA Fellowship (DE170100891). AdUP and CCT acknowledge support from Ramón y Cajal fellowships RyC-2012-09975 and RyC-2012-09984 and the Spanish Ministry of Economy and Competitiveness through project AYA2017-89384-P. DAK acknowledges support from the Spanish research project AYA2017-89384-P. MB acknowledges funding as 'personal tecnico de apoyo' under fellowship number PTA2016-13192-I. MC is supported by the David and Ellen Lee Postdoctoral Fellowship at the California Institute of Technology. SA is supported by the CNES Postdoctoral Fellowship at Laboratoire AstroParticule et Cosmologie. SA, AC, CL, and RM acknowledge the financial support of the UnivEarthS Labex program at Sorbonne Paris Cité (ANR-10-LABX-0023 and ANR-11-IDEX-0005-02). SA and NL acknowledge the financial support of the Programme National Hautes Energies (PNHE). DT acknowledges the financial support of the Chinese Academy of Sciences (CAS) PIFI post-doctoral fellowship program (program C). UBAI acknowledges support from the Ministry of Innovative Development through projects FA-Atech-2018-392 and VA-FA-F-2-010. IRiS has been carried out thanks to the support of the OCEVU Labex (ANR-11-LABX-0060) and the A*MIDEX project (ANR-11-IDEX-0001-02) funded by the 'Investissements d'Avenir' French government program. IRiS and T120 thank all the Observatoire de Haute-Provence staff for the permanent support. SB, NK, RN, and MV acknowledge the Shota Rustaveli National Science Foundation (SRNSF grant No 218070). TAROT has been built with the support of the Institut National des Sciences de l'Univers, CNRS, France. TAROT is funded by the CNES and thanks the help of the technical staff of the Observatoire de Haute Provence, OSU-Pytheas.

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Accepted Version - 1910.11261.pdf

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Additional details

Identifiers

Eprint ID
102134
Resolver ID
CaltechAUTHORS:20200327-070305940

Related works

Funding

Australian Research Council
CE170100004
Australian Research Council
DE170100891
Ramón y Cajal Programme
RyC-2012-09975
Ramón y Cajal Programme
RyC-2012-09984
Ministerio de Economía, Industria y Competitividad (MINECO)
AYA2017-89384-P
Ministerio de Economía, Industria y Competitividad (MINECO)
AYA2017-89384-P
Ministerio de Economía, Industria y Competitividad (MINECO)
PTA2016-13192-I
David and Ellen Lee Postdoctoral Scholarship
Centre National d'Études Spatiales (CNES)
Agence Nationale pour la Recherche (ANR)
ANR-10-LABX-0023
Agence Nationale pour la Recherche (ANR)
ANR-11-IDEX-0005-02
Programme National Hautes Energies (PNHE)
Chinese Academy of Sciences
Ministry of Innovative Development
FA-Atech-2018-392
Ministry of Innovative Development
VA-FA-F-2-010
Agence Nationale pour la Recherche (ANR)
ANR-11-LABX-0060
Agence Nationale pour la Recherche (ANR)
ANR-11-IDEX-0001-02
Shota Rustaveli National Science Foundation
218070
Centre National de la Recherche Scientifique (CNRS)

Dates

Created
2020-03-27
Created from EPrint's datestamp field
Updated
2021-11-16
Created from EPrint's last_modified field