Simulation-based marginal likelihood for cluster strong lensing cosmology

Autores
Killedar, M.; Borgani, S.; Fabjan, D.; Dolag, K.; Granato, Gian Luigi; Meneghetti, M.; Planelles, S.; Ragone Figueroa, Cinthia Judith
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Comparisons between observed and predicted strong lensing properties of galaxy clusters have been routinely used to claim either tension or consistency with Λ cold dark matter cosmology. However, standard approaches to such cosmological tests are unable to quantify the preference for one cosmology over another. We advocate approximating the relevant Bayes factor using amarginal likelihood that is based on the following summary statistic: the posterior probability distribution function for the parameters of the scaling relation between Einstein radii and cluster mass, α and β. We demonstrate, for the first time, a method of estimating the marginal likelihood using the X-ray selected z > 0.5 Massive Cluster Survey clusters as a case in point and employing both N-body and hydrodynamic simulations of clusters. We investigate the uncertainty in this estimate and consequential ability to compare competing cosmologies, which arises from incomplete descriptions of baryonic processes, discrepancies in cluster selection criteria, redshift distribution and dynamical state. The relation between triaxial cluster masses at various overdensities provides a promising alternative to the strong lensing test.
Fil: Killedar, M.. Università degli Studi di Trieste; Italia. Ludwig Maximilians Universitat; Alemania. The University of Sydney; Australia
Fil: Borgani, S.. Università degli Studi di Trieste; Italia. Osservatorio Astronomico di Trieste; Italia
Fil: Fabjan, D.. Istituto Nazionale Di Astrofisica Trieste; Italia. University of Ljubljana; Eslovenia
Fil: Dolag, K.. Universitats-sternwarte Munchen; Alemania
Fil: Granato, Gian Luigi. Istituto Nazionale di Astrofisica; Italia
Fil: Meneghetti, M.. Istituto Nazionale di Astrofisica; Italia
Fil: Planelles, S.. Istituto Nazionale di Astrofisica; Italia. Universidad de Valencia; España
Fil: Ragone Figueroa, Cinthia Judith. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Materia
GRAVITATIONAL LENSING: STRONG
METHODS: NUMERICAL
METHODS: STATISTICAL
GALAXIES: CLUSTERS: GENERAL
COSMOLOGY: THEORY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/87088
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/87088
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Simulation-based marginal likelihood for cluster strong lensing cosmologyKilledar, M.Borgani, S.Fabjan, D.Dolag, K.Granato, Gian LuigiMeneghetti, M.Planelles, S.Ragone Figueroa, Cinthia JudithGRAVITATIONAL LENSING: STRONGMETHODS: NUMERICALMETHODS: STATISTICALGALAXIES: CLUSTERS: GENERALCOSMOLOGY: THEORYhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Comparisons between observed and predicted strong lensing properties of galaxy clusters have been routinely used to claim either tension or consistency with Λ cold dark matter cosmology. However, standard approaches to such cosmological tests are unable to quantify the preference for one cosmology over another. We advocate approximating the relevant Bayes factor using amarginal likelihood that is based on the following summary statistic: the posterior probability distribution function for the parameters of the scaling relation between Einstein radii and cluster mass, α and β. We demonstrate, for the first time, a method of estimating the marginal likelihood using the X-ray selected z > 0.5 Massive Cluster Survey clusters as a case in point and employing both N-body and hydrodynamic simulations of clusters. We investigate the uncertainty in this estimate and consequential ability to compare competing cosmologies, which arises from incomplete descriptions of baryonic processes, discrepancies in cluster selection criteria, redshift distribution and dynamical state. The relation between triaxial cluster masses at various overdensities provides a promising alternative to the strong lensing test.Fil: Killedar, M.. Università degli Studi di Trieste; Italia. Ludwig Maximilians Universitat; Alemania. The University of Sydney; AustraliaFil: Borgani, S.. Università degli Studi di Trieste; Italia. Osservatorio Astronomico di Trieste; ItaliaFil: Fabjan, D.. Istituto Nazionale Di Astrofisica Trieste; Italia. University of Ljubljana; EsloveniaFil: Dolag, K.. Universitats-sternwarte Munchen; AlemaniaFil: Granato, Gian Luigi. Istituto Nazionale di Astrofisica; ItaliaFil: Meneghetti, M.. Istituto Nazionale di Astrofisica; ItaliaFil: Planelles, S.. Istituto Nazionale di Astrofisica; Italia. Universidad de Valencia; EspañaFil: Ragone Figueroa, Cinthia Judith. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaWiley Blackwell Publishing, Inc2018-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/87088Killedar, M.; Borgani, S.; Fabjan, D.; Dolag, K.; Granato, Gian Luigi; et al.; Simulation-based marginal likelihood for cluster strong lensing cosmology; Wiley Blackwell Publishing, Inc; Monthly Notices of the Royal Astronomical Society; 473; 2; 1-2018; 1736-17500035-87111365-2966CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://academic.oup.com/mnras/article/473/2/1736/4111158info:eu-repo/semantics/altIdentifier/doi/10.1093/mnras/stx2262info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T12:00:56Zoai:ri.conicet.gov.ar:11336/87088instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 12:00:56.717CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Simulation-based marginal likelihood for cluster strong lensing cosmology
title Simulation-based marginal likelihood for cluster strong lensing cosmology
spellingShingle Simulation-based marginal likelihood for cluster strong lensing cosmology
Killedar, M.
GRAVITATIONAL LENSING: STRONG
METHODS: NUMERICAL
METHODS: STATISTICAL
GALAXIES: CLUSTERS: GENERAL
COSMOLOGY: THEORY
title_short Simulation-based marginal likelihood for cluster strong lensing cosmology
title_full Simulation-based marginal likelihood for cluster strong lensing cosmology
title_fullStr Simulation-based marginal likelihood for cluster strong lensing cosmology
title_full_unstemmed Simulation-based marginal likelihood for cluster strong lensing cosmology
title_sort Simulation-based marginal likelihood for cluster strong lensing cosmology
dc.creator.none.fl_str_mv Killedar, M.
Borgani, S.
Fabjan, D.
Dolag, K.
Granato, Gian Luigi
Meneghetti, M.
Planelles, S.
Ragone Figueroa, Cinthia Judith
author Killedar, M.
author_facet Killedar, M.
Borgani, S.
Fabjan, D.
Dolag, K.
Granato, Gian Luigi
Meneghetti, M.
Planelles, S.
Ragone Figueroa, Cinthia Judith
author_role author
author2 Borgani, S.
Fabjan, D.
Dolag, K.
Granato, Gian Luigi
Meneghetti, M.
Planelles, S.
Ragone Figueroa, Cinthia Judith
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv GRAVITATIONAL LENSING: STRONG
METHODS: NUMERICAL
METHODS: STATISTICAL
GALAXIES: CLUSTERS: GENERAL
COSMOLOGY: THEORY
topic GRAVITATIONAL LENSING: STRONG
METHODS: NUMERICAL
METHODS: STATISTICAL
GALAXIES: CLUSTERS: GENERAL
COSMOLOGY: THEORY
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Comparisons between observed and predicted strong lensing properties of galaxy clusters have been routinely used to claim either tension or consistency with Λ cold dark matter cosmology. However, standard approaches to such cosmological tests are unable to quantify the preference for one cosmology over another. We advocate approximating the relevant Bayes factor using amarginal likelihood that is based on the following summary statistic: the posterior probability distribution function for the parameters of the scaling relation between Einstein radii and cluster mass, α and β. We demonstrate, for the first time, a method of estimating the marginal likelihood using the X-ray selected z > 0.5 Massive Cluster Survey clusters as a case in point and employing both N-body and hydrodynamic simulations of clusters. We investigate the uncertainty in this estimate and consequential ability to compare competing cosmologies, which arises from incomplete descriptions of baryonic processes, discrepancies in cluster selection criteria, redshift distribution and dynamical state. The relation between triaxial cluster masses at various overdensities provides a promising alternative to the strong lensing test.
Fil: Killedar, M.. Università degli Studi di Trieste; Italia. Ludwig Maximilians Universitat; Alemania. The University of Sydney; Australia
Fil: Borgani, S.. Università degli Studi di Trieste; Italia. Osservatorio Astronomico di Trieste; Italia
Fil: Fabjan, D.. Istituto Nazionale Di Astrofisica Trieste; Italia. University of Ljubljana; Eslovenia
Fil: Dolag, K.. Universitats-sternwarte Munchen; Alemania
Fil: Granato, Gian Luigi. Istituto Nazionale di Astrofisica; Italia
Fil: Meneghetti, M.. Istituto Nazionale di Astrofisica; Italia
Fil: Planelles, S.. Istituto Nazionale di Astrofisica; Italia. Universidad de Valencia; España
Fil: Ragone Figueroa, Cinthia Judith. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
description Comparisons between observed and predicted strong lensing properties of galaxy clusters have been routinely used to claim either tension or consistency with Λ cold dark matter cosmology. However, standard approaches to such cosmological tests are unable to quantify the preference for one cosmology over another. We advocate approximating the relevant Bayes factor using amarginal likelihood that is based on the following summary statistic: the posterior probability distribution function for the parameters of the scaling relation between Einstein radii and cluster mass, α and β. We demonstrate, for the first time, a method of estimating the marginal likelihood using the X-ray selected z > 0.5 Massive Cluster Survey clusters as a case in point and employing both N-body and hydrodynamic simulations of clusters. We investigate the uncertainty in this estimate and consequential ability to compare competing cosmologies, which arises from incomplete descriptions of baryonic processes, discrepancies in cluster selection criteria, redshift distribution and dynamical state. The relation between triaxial cluster masses at various overdensities provides a promising alternative to the strong lensing test.
publishDate 2018
dc.date.none.fl_str_mv 2018-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/87088
Killedar, M.; Borgani, S.; Fabjan, D.; Dolag, K.; Granato, Gian Luigi; et al.; Simulation-based marginal likelihood for cluster strong lensing cosmology; Wiley Blackwell Publishing, Inc; Monthly Notices of the Royal Astronomical Society; 473; 2; 1-2018; 1736-1750
0035-8711
1365-2966
CONICET Digital
CONICET
url http://hdl.handle.net/11336/87088
identifier_str_mv Killedar, M.; Borgani, S.; Fabjan, D.; Dolag, K.; Granato, Gian Luigi; et al.; Simulation-based marginal likelihood for cluster strong lensing cosmology; Wiley Blackwell Publishing, Inc; Monthly Notices of the Royal Astronomical Society; 473; 2; 1-2018; 1736-1750
0035-8711
1365-2966
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://academic.oup.com/mnras/article/473/2/1736/4111158
info:eu-repo/semantics/altIdentifier/doi/10.1093/mnras/stx2262
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
publisher.none.fl_str_mv Wiley Blackwell Publishing, Inc
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 12.982451

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