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Published January 10, 2022 | Published + Accepted Version
Journal Article Open

Data-driven Expectations for Electromagnetic Counterpart Searches Based on LIGO/Virgo Public Alerts

Abstract

Searches for electromagnetic counterparts of gravitational-wave signals have redoubled since the first detection in 2017 of a binary neutron star merger with a gamma-ray burst, optical/infrared kilonova, and panchromatic afterglow. Yet, one LIGO/Virgo observing run later, there has not yet been a second, secure identification of an electromagnetic counterpart. This is not surprising given that the localization uncertainties of events in LIGO and Virgo's third observing run, O3, were much larger than predicted. We explain this by showing that improvements in data analysis that now allow LIGO/Virgo to detect weaker and hence more poorly localized events have increased the overall number of detections, of which well-localized, gold-plated events make up a smaller proportion overall. We present simulations of the next two LIGO/Virgo/KAGRA observing runs, O4 and O5, that are grounded in the statistics of O3 public alerts. To illustrate the significant impact that the updated predictions can have, we study the follow-up strategy for the Zwicky Transient Facility. Realistic and timely forecasting of gravitational-wave localization accuracy is paramount given the large commitments of telescope time and the need to prioritize which events are followed up. We include a data release of our simulated localizations as a public proposal planning resource for astronomers.

Additional Information

© 2022. The Author(s). Published by the American Astronomical. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Received 2021 August 16; revised 2021 September 27; accepted 2021 October 8; published 2022 January 12. Resources supporting this work were provided by the NASA High-End Computing (HEC) Program through the NASA Advanced Supercomputing (NAS) Division at Ames Research Center under the project "Dorado Concept Study Report Monte Carlo Simulations," by the Minnesota Supercomputing Institute (MSI) at University of Minnesota (UMN) under the project "Identification of Variable Objects in the Zwicky Transient Facility," and the Supercomputing Laboratory at King Abdullah University of Science & Technology (KAUST) in Thuwal, Saudi Arabia. P.P. acknowledges support from the UMN Research Experiences for Undergraduates (REU) sponsored by REU grant No. NSF1757388. L.P.S. acknowledges support from the Multimessenger Astro Connection Science Task Group (STG) at NASA Goddard Space Flight Center. M.W.C. acknowledges support from the National Science Foundation with grant Nos. PHY-2010970 and OAC-2117997. S.A. acknowledges support from the National Science Foundation GROWTH PIRE grant No. 1545949. M.B. acknowledges support from the Swedish Research Council (Reg. no. 2020-03330). This document is LIGO-P2100281-v5. Facilities: LIGO - Laser Interferometer Gravitational-Wave Observatory, EGO:Virgo - , Kamioka:KAGRA - , PO:1.2m . Software: Astropy (Astropy Collaboration et al. 2013), gwemopt (Coughlin et al. 2018b, 2019c), HEALPix (Górski et al. 2005), ligo.skymap (Singer & Price 2016; Singer et al. 2016a, 2016b), POSSIS (Bulla 2019).

Attached Files

Published - Petrov_2022_ApJ_924_54.pdf

Accepted Version - 2108.07277.pdf

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Additional details

Created:
September 15, 2023
Modified:
October 23, 2023