Constraining the Stellar-to-Halo Mass Relation with Galaxy Clustering and Weak Lensing from DES Year 3 Data

DES Collaboration: G. Zacharegkas et al.

Detalhes bibliográficos
Autores: Zacharegkas, G., Tutusaus, Isaac, Castander, Francisco J., Gaztañaga, Enrique, García-Bellido, Juan, DES Collaboration
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2026
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:dnet:digitalcsic_::c9604016401ad3f622443bcf0bea5a4e
Acesso em linha:http://hdl.handle.net/10261/427915
Access Level:acceso abierto
Palavra-chave:Astrophysics of galaxies
Large-scale structure of the Universe
Properties of galaxies
galaxy-halo connection
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dc.title.none.fl_str_mv Constraining the Stellar-to-Halo Mass Relation with Galaxy Clustering and Weak Lensing from DES Year 3 Data
title Constraining the Stellar-to-Halo Mass Relation with Galaxy Clustering and Weak Lensing from DES Year 3 Data
spellingShingle Constraining the Stellar-to-Halo Mass Relation with Galaxy Clustering and Weak Lensing from DES Year 3 Data
Zacharegkas, G.
Astrophysics of galaxies
Large-scale structure of the Universe
Properties of galaxies
galaxy-halo connection
title_short Constraining the Stellar-to-Halo Mass Relation with Galaxy Clustering and Weak Lensing from DES Year 3 Data
title_full Constraining the Stellar-to-Halo Mass Relation with Galaxy Clustering and Weak Lensing from DES Year 3 Data
title_fullStr Constraining the Stellar-to-Halo Mass Relation with Galaxy Clustering and Weak Lensing from DES Year 3 Data
title_full_unstemmed Constraining the Stellar-to-Halo Mass Relation with Galaxy Clustering and Weak Lensing from DES Year 3 Data
title_sort Constraining the Stellar-to-Halo Mass Relation with Galaxy Clustering and Weak Lensing from DES Year 3 Data
dc.creator.none.fl_str_mv Zacharegkas, G.
Tutusaus, Isaac
Castander, Francisco J.
Gaztañaga, Enrique
García-Bellido, Juan
DES Collaboration
author Zacharegkas, G.
author_facet Zacharegkas, G.
Tutusaus, Isaac
Castander, Francisco J.
Gaztañaga, Enrique
García-Bellido, Juan
DES Collaboration
author_role author
author2 Tutusaus, Isaac
Castander, Francisco J.
Gaztañaga, Enrique
García-Bellido, Juan
DES Collaboration
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Educación y Ciencia (España)
National Science Foundation (US)
Ministerio de Ciencia e Innovación (España)
Agencia Estatal de Investigación (España)
European Commission
Generalitat de Catalunya
European Research Council
Castander, Francisco J. [0000-0001-7316-4573]
Gaztañaga, Enrique [0000-0001-9632-0815]
García-Bellido, Juan [0000-0002-9370-8360]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Astrophysics of galaxies
Large-scale structure of the Universe
Properties of galaxies
galaxy-halo connection
topic Astrophysics of galaxies
Large-scale structure of the Universe
Properties of galaxies
galaxy-halo connection
description DES Collaboration: G. Zacharegkas et al.
publishDate 2026
dc.date.none.fl_str_mv 2026
2026
2026
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
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dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/427915
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The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI 10.33232/001c.155046
https://doi.org/10.33232/001c.155046
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dc.publisher.none.fl_str_mv National University of Ireland, Maynooth
publisher.none.fl_str_mv National University of Ireland, Maynooth
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
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spelling Constraining the Stellar-to-Halo Mass Relation with Galaxy Clustering and Weak Lensing from DES Year 3 DataZacharegkas, G.Tutusaus, IsaacCastander, Francisco J.Gaztañaga, EnriqueGarcía-Bellido, JuanDES CollaborationAstrophysics of galaxiesLarge-scale structure of the UniverseProperties of galaxiesgalaxy-halo connectionDES Collaboration: G. Zacharegkas et al.The data underlying this article are available on the Dark Energy Survey website at https: //www.darkenergysurvey.org/the-des-project/data-access/. The lens galaxy catalog will be made public upon acceptance of the paper at https://des.ncsa.illinois. edu/releases/y3a2/Y3stellarmass.We develop a framework to study the relation between the stellar mass of a galaxy and the total mass of its host dark matter halo using galaxy clustering and galaxy-galaxy lensing measurements. We model a wide range of scales, roughly from ∼100kpc to ∼100Mpc, using a theoretical framework based on the Halo Occupation Distribution and data from Year 3 of the Dark Energy Survey (DES) dataset. The new advances of this work include: 1) the generation and validation of a new stellar mass-selected galaxy sample in the range of logM⋆/M⊙∼9.6 to ∼11.5; 2) the joint-modeling framework of galaxy clustering and galaxy-galaxy lensing that is able to describe our stellar mass-selected sample deep into the 1-halo regime; and 3) stellar-to-halo mass relation (SHMR) constraints from this dataset. In general, our SHMR constraints agree well with existing literature with various weak lensing measurements. We constrain the free parameters in the SHMR functional form logM⋆(Mh)=log(ϵM1)+f[log(Mh/M1)]−f(0), with f(x)≡−log(10αx+1)+δ[log(1+exp(x))]γ/[1+exp(10−x)], to be logM1=11.506+0.325−0.404, logϵ=−1.632+0.306−0.181, α=−1.638+0.108−0.099, γ=0.596+0.251−0.210 and δ=3.810+2.045−1.811. The inferred average satellite fraction is within ∼5−35% for our fiducial results and we do not see any clear trends with redshift or stellar mass. Furthermore, we find that the inferred average galaxy bias values follow the generally expected trends with stellar mass and redshift. Our study is the first SHMR in DES in this mass range, and we expect the stellar mass sample to be of general interest for other science cases.CC and JP were supported by DOE grant DESC0021949. Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundac¸ao Carlos Chagas Filho de ˜ Amparo a Pesquisa do Estado do Rio de Janeiro, Conselho ` Nacional de Desenvolvimento Cient´ıfico e Tecnologico and the ´ Ministerio da Ci ´ encia, Tecnologia e Inovac¸ ˆ ao, the Deutsche ˜ Forschungsgemeinschaft and the Collaborating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Energeticas, Medioambientales y Tecnol ´ ogicas-Madrid, the ´ University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgenossische Technische Hochschule (ETH) Z¨urich, ¨ Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ciencies ` de l’Espai (IEEC/CSIC), the Institut de F´ısica d’Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universitat M¨unchen and the associated ¨ Excellence Cluster Universe, the University of Michigan, NFS’s NOIRLab, the University of Nottingham, The Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas A&M University, and the OzDES Membership Consortium. Based in part on observations at Cerro Tololo InterAmerican Observatory at NSF’s NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES data management system is supported by the National Science Foundation under Grant Numbers AST1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018- 102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015- 0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciencia e Tecnologia (INCT) ˆ do e-Universo (CNPq grant 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics. All analysis in this work was enabled greatly by the following software: NumPy (Van der Walt et al. 2011), SciPy (Virtanen et al. 2020), and Matplotlib (Hunter 2007). We have also used the Astrophysics Data Service (ADS) and arXiv preprint repository extensively during this project and the writing of the paper.Peer reviewedNational University of Ireland, MaynoothMinisterio de Educación y Ciencia (España)National Science Foundation (US)Ministerio de Ciencia e Innovación (España)Agencia Estatal de Investigación (España)European CommissionGeneralitat de CatalunyaEuropean Research CouncilCastander, Francisco J. [0000-0001-7316-4573]Gaztañaga, Enrique [0000-0001-9632-0815]García-Bellido, Juan [0000-0002-9370-8360]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202620262026info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/427915reponame:DIGITAL.CSIC. 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