Euclid preparation: XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations
Euclid Collaboration: et al.
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/365803 |
| Acceso en línea: | http://hdl.handle.net/10261/365803 |
| Access Level: | acceso abierto |
| Palabra clave: | Galaxies: clusters: general Galaxies: halos Large-scale structure of Universe Dark matter Dark energy Cosmology: theory |
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Euclid preparation: XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations |
| title |
Euclid preparation: XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations |
| spellingShingle |
Euclid preparation: XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations Euclid Collaboration Galaxies: clusters: general Galaxies: halos Large-scale structure of Universe Dark matter Dark energy Cosmology: theory |
| title_short |
Euclid preparation: XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations |
| title_full |
Euclid preparation: XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations |
| title_fullStr |
Euclid preparation: XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations |
| title_full_unstemmed |
Euclid preparation: XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations |
| title_sort |
Euclid preparation: XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations |
| dc.creator.none.fl_str_mv |
Euclid Collaboration Castander, Francisco J. Fosalba, Pablo Serrano, Santiago Akrami, Yashar García-Bellido, Juan |
| author |
Euclid Collaboration |
| author_facet |
Euclid Collaboration Castander, Francisco J. Fosalba, Pablo Serrano, Santiago Akrami, Yashar García-Bellido, Juan |
| author_role |
author |
| author2 |
Castander, Francisco J. Fosalba, Pablo Serrano, Santiago Akrami, Yashar García-Bellido, Juan |
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author author author author author |
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Ministero dell'Istruzione, dell'Università e della Ricerca Agenzia Spaziale Italiana Istituto Nazionale di Astrofisica Ministerio de Ciencia, Innovación y Universidades (España) Ministerio de Ciencia e Innovación (España) Science and Technology Facilities Council (UK) Agencia Estatal de Investigación (España) Comunidad de Madrid Fundação para a Ciência e a Tecnologia (Portugal) Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Galaxies: clusters: general Galaxies: halos Large-scale structure of Universe Dark matter Dark energy Cosmology: theory |
| topic |
Galaxies: clusters: general Galaxies: halos Large-scale structure of Universe Dark matter Dark energy Cosmology: theory |
| description |
Euclid Collaboration: et al. |
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2024 |
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2024 2024 2024 |
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info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
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http://hdl.handle.net/10261/365803 |
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EDP Sciences |
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Euclid preparation: XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulationsEuclid CollaborationCastander, Francisco J.Fosalba, PabloSerrano, SantiagoAkrami, YasharGarcía-Bellido, JuanGalaxies: clusters: generalGalaxies: halosLarge-scale structure of UniverseDark matterDark energyCosmology: theoryEuclid Collaboration: et al.The photometric catalogue of galaxy clusters extracted from ESA Euclid data is expected to be very competitive for cosmological studies. Using dedicated hydrodynamical simulations, we present systematic analyses simulating the expected weak-lensing profiles from clusters in a variety of dynamic states and for a wide range of redshifts. In order to derive cluster masses, we use a model consistent with the implementation within the Euclid Consortium of the dedicated processing function and find that when we jointly model the mass and concentration parameter of the Navarro–Frenk–White halo profile, the weak-lensing masses tend to be biased low by 5–10% on average with respect to the true mass, up to z = 0.5. For a fixed value for the concentration c200 = 3, the mass bias is decreases to lower than 5%, up to z = 0.7, along with the relative uncertainty. Simulating the weak-lensing signal by projecting along the directions of the axes of the moment of inertia tensor ellipsoid, we find that orientation matters: when clusters are oriented along the major axis, the lensing signal is boosted, and the recovered weak-lensing mass is correspondingly overestimated. Typically, the weak-lensing mass bias of individual clusters is modulated by the weak-lensing signal-to-noise ratio, which is related to the redshift evolution of the number of galaxies used for weak-lensing measurements: the negative mass bias tends to be stronger toward higher redshifts. However, when we use a fixed value of the concentration parameter, the redshift evolution trend is reduced. These results provide a solid basis for the weak-lensing mass calibration required by the cosmological application of future cluster surveys from Euclid and Rubin.C.G., M.M., and L.M. acknowledge support from the grant PRIN-MIUR 2017 WSCC32 ZOOMING, and the support from the grant ASI n.2018-23-HH.0. C.G. acknowledges funding from the Italian National Institute of Astrophysics under the grant “Bando PrIN 2019”, PI: Viola Allevato and from the HPC-Europa3 Transnational Access programme HPC17VDILO. G.C. also thanks the support from INAF theory Grant 2022: Illuminating Dark Matter using weak-lensing by Cluster Satellites, PI: Carlo Giocoli. M.M. acknowledges financial support from PRIN-MIUR grant and 2020SKSTHZ, INAF “main-stream” 1.05.01.86.20: “Deep and wide view of galaxy clusters (P.I.: M. Nonino)” and INAF “main-stream” 1.05.01.86.31 “The deepest view of high-redshift galaxies and globular cluster precursors in the early Universe” (P.I.: E. Vanzella). S.B. and M.M. acknowledge financial support from the InDark INFN Grant. G.Y. and A.K. would like to thank the Ministerio de Ciencia e Innovación (Spain) for financial support under research grant PID2021-122603NB-C21. W.C. is supported by the STFC AGP Grant ST/V000594/1 and the Atracción de Talento Contract no. 2020-T1/TIC-19882 granted by the Comunidad de Madrid in Spain. He also thanks the Ministerio de Ciencia e Innovación (Spain) for financial support under Project grant PID2021-122603NB-C21. He further acknowledges the science research grants from the China Manned Space Project with NO. CMS-CSST-2021-A01 and CMS-CSST-2021-B01. We acknowledge the use of computational resources from the parallel computing cluster of the Open Physics Hub (https://site.unibo.it/openphysicshub/en) at the Physics and Astronomy Department in Bologna. T.S. acknowledges support from FFG grant number 899537. C.J.M. acknowledges FCT and POCH/FSE (EC) support through Investigador FCT Contract 2021.01214.CEECIND/CP1658/CT0001.Peer reviewedEDP SciencesMinistero dell'Istruzione, dell'Università e della RicercaAgenzia Spaziale ItalianaIstituto Nazionale di AstrofisicaMinisterio de Ciencia, Innovación y Universidades (España)Ministerio de Ciencia e Innovación (España)Science and Technology Facilities Council (UK)Agencia Estatal de Investigación (España)Comunidad de MadridFundação para a Ciência e a Tecnologia (Portugal)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/365803reponame: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 2021-2023/PID2021-122603NB-C212020-T1/TIC-19882/AtraccióndeTalento-CMhttps://doi.org/10.1051/0004-6361/202346058Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3658032026-05-22T06:33:51Z |
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