Inferring the lensing rate of LIGO-Virgo sources from the stochastic gravitational wave background

Strong lensing of gravitational waves (GWs) is more likely for distant sources but predicted event rates are highly uncertain with many astrophysical origins proposed. Here, we open a new avenue to estimate the event rate of strongly lensed systems by exploring the amplitude of the stochastic gravit...

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Autores: Mukherjee, Suvodip, Broadhurst, Tom, Diego, José María, Silk, Joseph, Smoot, George F.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2021
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/260222
Acceso en línea:http://hdl.handle.net/10261/260222
Access Level:acceso abierto
Palabra clave:Gravitational lensing: strong
Gravitational waves
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spelling Inferring the lensing rate of LIGO-Virgo sources from the stochastic gravitational wave backgroundMukherjee, SuvodipBroadhurst, TomDiego, José MaríaSilk, JosephSmoot, George F.Gravitational lensing: strongGravitational wavesStrong lensing of gravitational waves (GWs) is more likely for distant sources but predicted event rates are highly uncertain with many astrophysical origins proposed. Here, we open a new avenue to estimate the event rate of strongly lensed systems by exploring the amplitude of the stochastic gravitational wave background (SGWB). This method can provide a direct upper bound on the high-redshift binary coalescing rates, which can be translated into an upper bound on the expected rate of strongly lensed systems. We show that from the ongoing analysis of the Laser Interferometer Gravitational-wave Observatory (LIGO)-Virgo and in the future from the LIGO–Virgo design sensitivity stringent bounds on the lensing event rate can be imposed using the SGWB signal. Combining measurements of loud GW events with an unresolved stochastic background detection will improve estimates of the numbers of lensed events at high redshift. The proposed method is going to play a crucial in understanding the population of lensed and unlensed systems from GW observations.The work of SM is supported by the Labex ILP (reference ANR-10-LABX-63) part of the Idex SUPER, received financial state aid managed by the Agence Nationale de la Recherche, as part of the programme Investissements d’avenir under the reference ANR-11-IDEX-0004-02, and also by the research program Innovational Research Incentives Scheme (Vernieuwingsimpuls), which is financed by the Netherlands Organization for Scientific Research through the NWO VIDI grant no. 639.042.612-Nissanke. JMD acknowledges the support of project PGC2018-101814-B-100 (MCIU/AEI/MINECO/FEDER, UE) Ministerio de Ciencia, Investigación y Universidades. This project was funded by the Agencia Estatal de Investigación, Unidad de Excelencia María de Maeztu, ref. MDM-2017-0765. In this analysis, we have used the following packages: IPYTHON (Pérez & Granger 2007), MATPLOTLIB (Hunter 2007), NUMPY (van der Walt, Colbert & Varoquaux 2011), and SCIPY (Jones et al. 01). The authors would like to thank the LIGO–Virgo scientific collaboration for providing the noise curves, and overlap reduction function for the network of detectors. LIGO is funded by the U.S. National Science Foundation. Virgo is funded by the French Centre National de Recherche Scientifique (CNRS), the Italian Istituto Nazionale della Fisica Nucleare (INFN), and the Dutch Nikhef, with contributions by Polish and Hungarian institutes.Peer reviewedOxford University PressAgence Nationale de la Recherche (France)Netherlands Organization for Scientific ResearchMinisterio de Ciencia, Innovación y Universidades (España)Agencia Estatal de Investigación (España)National Science Foundation (US)Istituto Nazionale di Fisica NucleareCentre National de la Recherche Scientifique (France)European CommissionConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202220222021info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/260222reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-101814-B-I00info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MDM-2017-0765https://doi.org/10.1093/mnras/staa3813Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2602222026-05-22T06:33:51Z
dc.title.none.fl_str_mv Inferring the lensing rate of LIGO-Virgo sources from the stochastic gravitational wave background
title Inferring the lensing rate of LIGO-Virgo sources from the stochastic gravitational wave background
spellingShingle Inferring the lensing rate of LIGO-Virgo sources from the stochastic gravitational wave background
Mukherjee, Suvodip
Gravitational lensing: strong
Gravitational waves
title_short Inferring the lensing rate of LIGO-Virgo sources from the stochastic gravitational wave background
title_full Inferring the lensing rate of LIGO-Virgo sources from the stochastic gravitational wave background
title_fullStr Inferring the lensing rate of LIGO-Virgo sources from the stochastic gravitational wave background
title_full_unstemmed Inferring the lensing rate of LIGO-Virgo sources from the stochastic gravitational wave background
title_sort Inferring the lensing rate of LIGO-Virgo sources from the stochastic gravitational wave background
dc.creator.none.fl_str_mv Mukherjee, Suvodip
Broadhurst, Tom
Diego, José María
Silk, Joseph
Smoot, George F.
author Mukherjee, Suvodip
author_facet Mukherjee, Suvodip
Broadhurst, Tom
Diego, José María
Silk, Joseph
Smoot, George F.
author_role author
author2 Broadhurst, Tom
Diego, José María
Silk, Joseph
Smoot, George F.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Agence Nationale de la Recherche (France)
Netherlands Organization for Scientific Research
Ministerio de Ciencia, Innovación y Universidades (España)
Agencia Estatal de Investigación (España)
National Science Foundation (US)
Istituto Nazionale di Fisica Nucleare
Centre National de la Recherche Scientifique (France)
European Commission
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Gravitational lensing: strong
Gravitational waves
topic Gravitational lensing: strong
Gravitational waves
description Strong lensing of gravitational waves (GWs) is more likely for distant sources but predicted event rates are highly uncertain with many astrophysical origins proposed. Here, we open a new avenue to estimate the event rate of strongly lensed systems by exploring the amplitude of the stochastic gravitational wave background (SGWB). This method can provide a direct upper bound on the high-redshift binary coalescing rates, which can be translated into an upper bound on the expected rate of strongly lensed systems. We show that from the ongoing analysis of the Laser Interferometer Gravitational-wave Observatory (LIGO)-Virgo and in the future from the LIGO–Virgo design sensitivity stringent bounds on the lensing event rate can be imposed using the SGWB signal. Combining measurements of loud GW events with an unresolved stochastic background detection will improve estimates of the numbers of lensed events at high redshift. The proposed method is going to play a crucial in understanding the population of lensed and unlensed systems from GW observations.
publishDate 2021
dc.date.none.fl_str_mv 2021
2022
2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/260222
url http://hdl.handle.net/10261/260222
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-101814-B-I00
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/MDM-2017-0765
https://doi.org/10.1093/mnras/staa3813
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Oxford University Press
publisher.none.fl_str_mv Oxford University Press
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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