Euclid preparation: XXVI. the Euclid Morphology Challenge: Towards structural parameters for billions of galaxies

H. Bretonnière et al.

Bibliographic Details
Authors: Bretonnière, H., Tuccillo, Diego, Castander, Francisco J., García-Bellido, Juan, Euclid Collaboration
Format: article
Status:Published version
Publication Date:2023
Country:España
Institution:Consejo Superior de Investigaciones Científicas (CSIC)
Repository:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/347790
Online Access:http://hdl.handle.net/10261/347790
Access Level:Open access
Keyword:Methods: data analysis
Galaxies: evolution
Galaxies: fundamental parameters
Cosmology: observations
id ES_5d2631fcb500cdd54fdf4be49e2d7772
oai_identifier_str oai:digital.csic.es:10261/347790
network_acronym_str ES
network_name_str España
repository_id_str
spelling Euclid preparation: XXVI. the Euclid Morphology Challenge: Towards structural parameters for billions of galaxiesBretonnière, H.Tuccillo, DiegoCastander, Francisco J.García-Bellido, JuanEuclid CollaborationMethods: data analysisGalaxies: evolutionGalaxies: fundamental parametersCosmology: observationsH. Bretonnière et al.The various Euclid imaging surveys will become a reference for studies of galaxy morphology by delivering imaging over an unprecedented area of 15 000 square degrees with high spatial resolution. In order to understand the capabilities of measuring morphologies from Euclid-detected galaxies and to help implement measurements in the pipeline of the Organisational Unit MER of the Euclid Science Ground Segment, we have conducted the Euclid Morphology Challenge, which we present in two papers. While the companion paper focusses on the analysis of photometry, this paper assesses the accuracy of the parametric galaxy morphology measurements in imaging predicted from within the Euclid Wide Survey. We evaluate the performance of five state-of-the-art surface-brightness-fitting codes, DeepLeGATo, Galapagos-2, Morfometryka, ProFit and SourceXtractor++, on a sample of about 1.5 million simulated galaxies (350 000 above 5σ) resembling reduced observations with the Euclid VIS and NIR instruments. The simulations include analytic Sérsic profiles with one and two components, as well as more realistic galaxies generated with neural networks. We find that, despite some code-specific differences, all methods tend to achieve reliable structural measurements (< 10% scatter on ideal Sérsic simulations) down to an apparent magnitude of about IE = 23 in one component and IE = 21 in two components, which correspond to a signal-to-noise ratio of approximately 1 and 5, respectively. We also show that when tested on non-analytic profiles, the results are typically degraded by a factor of 3, driven by systematics. We conclude that the official Euclid Data Releases will deliver robust structural parameters for at least 400 million galaxies in the Euclid Wide Survey by the end of the mission. We find that a key factor for explaining the different behaviour of the codes at the faint end is the set of adopted priors for the various structural parameters.The Euclid Consortium acknowledges the European Space Agency and a number of agencies and institutes that have supported the development of Euclid, in particular the Academy of Finland, the Agenzia Spaziale Italiana, the Belgian Science Policy, the Canadian Euclid Consortium, the French Centre National d’Etudes Spatiales, the Deutsches Zentrum für Luft- und Raumfahrt, the Danish Space Research Institute, the Fundação para a Ciência e a Tecnologia, the Ministerio de Ciencia e Innovación, the National Aeronautics and Space Administration, the National Astronomical Observatory of Japan, the Netherlandse Onderzoekschool Voor Astronomie, the Norwegian Space Agency, the Romanian Space Agency, the State Secretariat for Education, Research and Innovation (SERI) at the Swiss Space Office (SSO), and the United Kingdom Space Agency. A complete and detailed list is available on the Euclid web site (http://www.euclid-ec.org).Peer reviewedEDP SciencesEuropean Space AgencyAcademy of FinlandAgenzia Spaziale ItalianaMinisterio de Ciencia e Innovación (España)Centre National D'Etudes Spatiales (France)Fundação para a Ciência e a Tecnologia (Portugal)NASANorwegian Space AgencyUK Space AgencyConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242023info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/347790reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1051/0004-6361/202245042Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3477902026-05-22T06:33:51Z
dc.title.none.fl_str_mv Euclid preparation: XXVI. the Euclid Morphology Challenge: Towards structural parameters for billions of galaxies
title Euclid preparation: XXVI. the Euclid Morphology Challenge: Towards structural parameters for billions of galaxies
spellingShingle Euclid preparation: XXVI. the Euclid Morphology Challenge: Towards structural parameters for billions of galaxies
Bretonnière, H.
Methods: data analysis
Galaxies: evolution
Galaxies: fundamental parameters
Cosmology: observations
title_short Euclid preparation: XXVI. the Euclid Morphology Challenge: Towards structural parameters for billions of galaxies
title_full Euclid preparation: XXVI. the Euclid Morphology Challenge: Towards structural parameters for billions of galaxies
title_fullStr Euclid preparation: XXVI. the Euclid Morphology Challenge: Towards structural parameters for billions of galaxies
title_full_unstemmed Euclid preparation: XXVI. the Euclid Morphology Challenge: Towards structural parameters for billions of galaxies
title_sort Euclid preparation: XXVI. the Euclid Morphology Challenge: Towards structural parameters for billions of galaxies
dc.creator.none.fl_str_mv Bretonnière, H.
Tuccillo, Diego
Castander, Francisco J.
García-Bellido, Juan
Euclid Collaboration
author Bretonnière, H.
author_facet Bretonnière, H.
Tuccillo, Diego
Castander, Francisco J.
García-Bellido, Juan
Euclid Collaboration
author_role author
author2 Tuccillo, Diego
Castander, Francisco J.
García-Bellido, Juan
Euclid Collaboration
author2_role author
author
author
author
dc.contributor.none.fl_str_mv European Space Agency
Academy of Finland
Agenzia Spaziale Italiana
Ministerio de Ciencia e Innovación (España)
Centre National D'Etudes Spatiales (France)
Fundação para a Ciência e a Tecnologia (Portugal)
NASA
Norwegian Space Agency
UK Space Agency
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Methods: data analysis
Galaxies: evolution
Galaxies: fundamental parameters
Cosmology: observations
topic Methods: data analysis
Galaxies: evolution
Galaxies: fundamental parameters
Cosmology: observations
description H. Bretonnière et al.
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
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/10261/347790
url http://hdl.handle.net/10261/347790
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1051/0004-6361/202245042
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv EDP Sciences
publisher.none.fl_str_mv EDP Sciences
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
_version_ 1869408992457916416
score 15,812429

Similar Items