The PAU Survey: Measuring intrinsic galaxy alignments in deep wide fields as a function of colour, luminosity, stellar mass and redshift
We present the measurements and constraints of intrinsic alignments (IA) in the Physics of the Accelerating Universe Survey (PAUS) deep wide fields, which include the W1 and W3 fields from the Canada-France-Hawaii Telescope Legacy Survey (CFHTLS) and the G09 field from the Kilo-Degree Survey (KiDS)....
| Autores: | , , , , , , , , , , , , , , , , , , , , , , , |
|---|---|
| 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:digital.csic.es:10261/420257 |
| Acesso em linha: | http://hdl.handle.net/10261/420257 http://arxiv.org/abs/2505.15470v3 |
| Access Level: | acceso abierto |
| Palavra-chave: | Cosmology: observations Gravitational lensing: weak Large-scale structure of Universe |
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| dc.title.none.fl_str_mv |
The PAU Survey: Measuring intrinsic galaxy alignments in deep wide fields as a function of colour, luminosity, stellar mass and redshift |
| title |
The PAU Survey: Measuring intrinsic galaxy alignments in deep wide fields as a function of colour, luminosity, stellar mass and redshift |
| spellingShingle |
The PAU Survey: Measuring intrinsic galaxy alignments in deep wide fields as a function of colour, luminosity, stellar mass and redshift Navarro-Girones, David Cosmology: observations Gravitational lensing: weak Large-scale structure of Universe |
| title_short |
The PAU Survey: Measuring intrinsic galaxy alignments in deep wide fields as a function of colour, luminosity, stellar mass and redshift |
| title_full |
The PAU Survey: Measuring intrinsic galaxy alignments in deep wide fields as a function of colour, luminosity, stellar mass and redshift |
| title_fullStr |
The PAU Survey: Measuring intrinsic galaxy alignments in deep wide fields as a function of colour, luminosity, stellar mass and redshift |
| title_full_unstemmed |
The PAU Survey: Measuring intrinsic galaxy alignments in deep wide fields as a function of colour, luminosity, stellar mass and redshift |
| title_sort |
The PAU Survey: Measuring intrinsic galaxy alignments in deep wide fields as a function of colour, luminosity, stellar mass and redshift |
| dc.creator.none.fl_str_mv |
Navarro-Girones, David Crocce, Martín Gaztañaga, Enrique Wittje, Anna Siudek, Malgorzata Hoekstra, Henk Hildebrandt, Hendrik Joachimi, Benjamin Paviot, Romain Baugh, Carlton M. Carretero, Jorge Casas, Ricard Castander, Francisco J. Eriksen, Martin Borstad Fernández, E. Fosalba, Pablo García-Bellido, Juan Miquel, Ramon Padilla, Cristóbal Renard, Pablo Sánchez, Eusebio Serrano, Santiago Sevilla-Noarbe, I. Tallada-Crespí, Pau |
| author |
Navarro-Girones, David |
| author_facet |
Navarro-Girones, David Crocce, Martín Gaztañaga, Enrique Wittje, Anna Siudek, Malgorzata Hoekstra, Henk Hildebrandt, Hendrik Joachimi, Benjamin Paviot, Romain Baugh, Carlton M. Carretero, Jorge Casas, Ricard Castander, Francisco J. Eriksen, Martin Borstad Fernández, E. Fosalba, Pablo García-Bellido, Juan Miquel, Ramon Padilla, Cristóbal Renard, Pablo Sánchez, Eusebio Serrano, Santiago Sevilla-Noarbe, I. Tallada-Crespí, Pau |
| author_role |
author |
| author2 |
Crocce, Martín Gaztañaga, Enrique Wittje, Anna Siudek, Malgorzata Hoekstra, Henk Hildebrandt, Hendrik Joachimi, Benjamin Paviot, Romain Baugh, Carlton M. Carretero, Jorge Casas, Ricard Castander, Francisco J. Eriksen, Martin Borstad Fernández, E. Fosalba, Pablo García-Bellido, Juan Miquel, Ramon Padilla, Cristóbal Renard, Pablo Sánchez, Eusebio Serrano, Santiago Sevilla-Noarbe, I. Tallada-Crespí, Pau |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author |
| dc.contributor.none.fl_str_mv |
Ministerio de Ciencia e Innovación (España) Agencia Estatal de Investigación (España) European Research Council European Commission Polish National Agency for Academic Exchange German Research Foundation UK Research and Innovation Generalitat de Catalunya Tsinghua University National Key Research and Development Program (China) Ministerio de Economía y Competitividad (España) Durham University ETH Zurich Leiden University Netherlands Organization for Scientific Research University College London Universidad Autónoma de Barcelona Navarro-Girones, David [0000-0003-0507-372X] Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Cosmology: observations Gravitational lensing: weak Large-scale structure of Universe |
| topic |
Cosmology: observations Gravitational lensing: weak Large-scale structure of Universe |
| description |
We present the measurements and constraints of intrinsic alignments (IA) in the Physics of the Accelerating Universe Survey (PAUS) deep wide fields, which include the W1 and W3 fields from the Canada-France-Hawaii Telescope Legacy Survey (CFHTLS) and the G09 field from the Kilo-Degree Survey (KiDS). Our analyses cover 51deg$^{2}$, in the photometric redshift (photo-$z$) range $0.1 < z_{\mathrm{b}} < 1$ and a magnitude limit $i_{\mathrm{AB}}<22$. The precise photo-$z$s and the luminosity coverage of PAUS enable robust IA measurements, which are key for setting informative priors for upcoming stage-IV surveys. For red galaxies, we detect an increase in IA amplitude with both luminosity and stellar mass, extending previous results towards fainter and less massive regimes. As a function of redshift, we observe strong IA signals at intermediate ($z_{\mathrm{b}}\sim0.55$) and high ($z_{\mathrm{b}}\sim0.75$) redshift bins. However, we find no significant trend of IA evolution with redshift after accounting for the varying luminosities across redshift bins, consistent with the literature. For blue galaxies, no significant IA signal is detected, with $A_{1}=0.68_{-0.51}^{+0.53}$ when splitting only by galaxy colour, yielding some of the tightest constraints to date for the blue population and constraining a regime of very faint and low-mass galaxies. |
| 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 Publisher's version info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/420257 http://arxiv.org/abs/2505.15470v3 |
| url |
http://hdl.handle.net/10261/420257 http://arxiv.org/abs/2505.15470v3 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
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The PAU Survey: Measuring intrinsic galaxy alignments in deep wide fields as a function of colour, luminosity, stellar mass and redshiftNavarro-Girones, DavidCrocce, MartínGaztañaga, EnriqueWittje, AnnaSiudek, MalgorzataHoekstra, HenkHildebrandt, HendrikJoachimi, BenjaminPaviot, RomainBaugh, Carlton M.Carretero, JorgeCasas, RicardCastander, Francisco J.Eriksen, Martin BorstadFernández, E.Fosalba, PabloGarcía-Bellido, JuanMiquel, RamonPadilla, CristóbalRenard, PabloSánchez, EusebioSerrano, SantiagoSevilla-Noarbe, I.Tallada-Crespí, PauCosmology: observationsGravitational lensing: weakLarge-scale structure of UniverseWe present the measurements and constraints of intrinsic alignments (IA) in the Physics of the Accelerating Universe Survey (PAUS) deep wide fields, which include the W1 and W3 fields from the Canada-France-Hawaii Telescope Legacy Survey (CFHTLS) and the G09 field from the Kilo-Degree Survey (KiDS). Our analyses cover 51deg$^{2}$, in the photometric redshift (photo-$z$) range $0.1 < z_{\mathrm{b}} < 1$ and a magnitude limit $i_{\mathrm{AB}}<22$. The precise photo-$z$s and the luminosity coverage of PAUS enable robust IA measurements, which are key for setting informative priors for upcoming stage-IV surveys. For red galaxies, we detect an increase in IA amplitude with both luminosity and stellar mass, extending previous results towards fainter and less massive regimes. As a function of redshift, we observe strong IA signals at intermediate ($z_{\mathrm{b}}\sim0.55$) and high ($z_{\mathrm{b}}\sim0.75$) redshift bins. However, we find no significant trend of IA evolution with redshift after accounting for the varying luminosities across redshift bins, consistent with the literature. For blue galaxies, no significant IA signal is detected, with $A_{1}=0.68_{-0.51}^{+0.53}$ when splitting only by galaxy colour, yielding some of the tightest constraints to date for the blue population and constraining a regime of very faint and low-mass galaxies.DNG, MC, and EG acknowledge support from the Spanish Ministerio de Ciencia e Innovacion (MICINN), project PID2021-128989NB. DNG and HH acknowledge support from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program with Grant agreement No. 101053992. MS acknowledges support by the State Research Agency of the Spanish Ministry of Science and Innovation under the grants ‘Galaxy Evolution with Artificial Intelligence’ (PGC2018-100852-A-I00) and ‘BASALT’ (PID2021-126838NB-I00) and the Polish National Agency for Academic Exchange (Bekker grant BPN/BEK/2021/1/00298/DEC/1). This work was partially supported by the European Union’s Horizon 2020 Research and Innovation program under the Maria Sklodowska-Curie grant agreement (No. 754510). HH is supported by a DFG Heisenberg grant (Hi 1495/5-1), the DFG Collaborative Research Center SFB1491, an ERC Consolidator Grant (No. 770935), and the DLR project 50QE2305. BJ acknowledges support by the ERC-selected UKRI Frontier Research Grant EP/Y03015X/1. ME acknowledges funding by MCIN with funding from European Union NextGenerationEU (PRTR-C17.I1) and by Generalitat de Catalunya. JC acknowledges support from the grant PID2021-123012NA-C44 funded by MCIN/AEI/ 10.13039/501100011033 and by ‘ERDF A way of making Europe’. FJC acknowledges support from the Spanish Plan Nacional project PID2022-141079NB-C31. CP acknowledges support from the Spanish Plan Nacional project PID2022-141079NB-C32. PR acknowledges the support by the Tsinghua Shui Mu Scholarship, the funding of the National Key R&D Program of China (grant no. 2023YFA1605600), the science research grants from the China Manned Space Project with No. CMS-CSST2021-A05, and the Tsinghua University Initiative Scientific Research Program (No. 20223080023). The PAU Survey is partially supported by MINECO under grants CSD2007-00060, AYA2015-71825, ESP2017-89838, PGC2018-094773, PGC2018-102021, PID2019-111317GB, SEV-2016-0588, SEV-2016-0597, MDM-2015-0509 and Juan de la Cierva fellowship and LACEGAL and EWC Marie Sklodowska-Curie grant No 101086388 and no.776247 with ERDF funds from the EU Horizon 2020 Programme, some of which include ERDF funds from the European Union. IEEC and IFAE are partially funded by the CERCA and Beatriu de Pinos program of the Generalitat de Catalunya. Funding for PAUS has also been provided by Durham University (via the ERC StG DEGAS-259586), ETH Zurich, Leiden University (via ERC StG ADULT-279396 and Netherlands Organisation for Scientific Research (NWO) Vici grant 639.043.512), University College London, and from the European Union’s Horizon 2020 research and innovation programme under the grant agreement No 776247 EWC. The PAU data centre is hosted by the Port d’Informació Científica (PIC), maintained through a collaboration of CIEMAT and IFAE, with additional support from Universitat Autònoma de Barcelona and ERDF. The authors acknowledge the PIC services department team for their support and fruitful discussions.Peer reviewedRoyal Astronomical SocietyOxford University PressMinisterio de Ciencia e Innovación (España)Agencia Estatal de Investigación (España)European Research CouncilEuropean CommissionPolish National Agency for Academic ExchangeGerman Research FoundationUK Research and InnovationGeneralitat de CatalunyaTsinghua UniversityNational Key Research and Development Program (China)Ministerio de Economía y Competitividad (España)Durham UniversityETH ZurichLeiden UniversityNetherlands Organization for Scientific ResearchUniversity College LondonUniversidad Autónoma de BarcelonaNavarro-Girones, David [0000-0003-0507-372X]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/10261/420257http://arxiv.org/abs/2505.15470v3reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##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/PID2021-128989NB-I00info:eu-repo/grantAgreement/EC/HE/101053992info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-100852-A-I00info:eu-repo/grantAgreement/EC/H2020/754510info:eu-repo/grantAgreement/EC/H2020/770935info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-123012NA-C44info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-141079NB-C31info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-141079NB-C32info:eu-repo/grantAgreement/EC/HE/101086388info:eu-repo/grantAgreement/EC/H2020/776247info:eu-repo/grantAgreement/EC/FP7/259586info:eu-repo/grantAgreement/EC/FP7/279396info:eu-repo/grantAgreement/MEC//CSD2007-00060info:eu-repo/grantAgreement/MINECO//AYA2015-71825-Pinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ESP2017-89838-C3-1-Rinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ESP2017-89838-C3-2-Rinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ESP2017-89838-C3-3-Rinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-094773-B-C31info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-094773-B-C32info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-094773-B-C33info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-102021-B-I00info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111317GB-C31info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/SEV-2016-0588info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/SEV-2016-0597info:eu-repo/grantAgreement/MINECO//MDM-2015-0509info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111317GB-C32info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111317GB-C33The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI 10.1093/mnras/staf1630https://doi.org/10.1093/mnras/staf1630Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/4202572026-05-22T06:33:51Z |
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15,811543 |