ELG spectroscopic systematics analysis of the DESI Data Release 1

J. Yu et al. -- Dark Energy Spectroscopic Instrument (DESI) survey Year 1 results. -- ArXiv ePrint: 2405.16657

Detalhes bibliográficos
Autores: Yu, Jiaxi, Gaztañaga, Enrique, Prada, Francisco
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/385425
Acesso em linha:http://hdl.handle.net/10261/385425
Access Level:acceso abierto
Palavra-chave:Cosmological parameters from LSS
Galaxy clustering
Galaxy surveys
Redshift surveys
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oai_identifier_str oai:digital.csic.es:10261/385425
network_acronym_str ES
network_name_str España
repository_id_str
dc.title.none.fl_str_mv ELG spectroscopic systematics analysis of the DESI Data Release 1
title ELG spectroscopic systematics analysis of the DESI Data Release 1
spellingShingle ELG spectroscopic systematics analysis of the DESI Data Release 1
Yu, Jiaxi
Cosmological parameters from LSS
Galaxy clustering
Galaxy surveys
Redshift surveys
title_short ELG spectroscopic systematics analysis of the DESI Data Release 1
title_full ELG spectroscopic systematics analysis of the DESI Data Release 1
title_fullStr ELG spectroscopic systematics analysis of the DESI Data Release 1
title_full_unstemmed ELG spectroscopic systematics analysis of the DESI Data Release 1
title_sort ELG spectroscopic systematics analysis of the DESI Data Release 1
dc.creator.none.fl_str_mv Yu, Jiaxi
Gaztañaga, Enrique
Prada, Francisco
author Yu, Jiaxi
author_facet Yu, Jiaxi
Gaztañaga, Enrique
Prada, Francisco
author_role author
author2 Gaztañaga, Enrique
Prada, Francisco
author2_role author
author
dc.contributor.none.fl_str_mv National Science Foundation (US)
Department of Energy (US)
Science and Technology Facilities Council (UK)
Gordon and Betty Moore Foundation
Heising Simons Foundation
Commissariat à l'Ènergie Atomique et aux Ènergies Alternatives (France)
Consejo Nacional de Humanidades, Ciencias y Tecnologías (México)
Ministerio de Ciencia e Innovación (España)
Yu, Jiaxi [0009-0001-7217-8006]
Gaztañaga, Enrique [0000-0001-9632-0815]
Prada, Francisco [0000-0001-7145-8674]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Cosmological parameters from LSS
Galaxy clustering
Galaxy surveys
Redshift surveys
topic Cosmological parameters from LSS
Galaxy clustering
Galaxy surveys
Redshift surveys
description J. Yu et al. -- Dark Energy Spectroscopic Instrument (DESI) survey Year 1 results. -- ArXiv ePrint: 2405.16657
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
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/10261/385425
url http://hdl.handle.net/10261/385425
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI 10.1088/1475-7516/2025/01/126
https://doi.org/10.1088/1475-7516/2025/01/126
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 IOP Publishing
publisher.none.fl_str_mv IOP Publishing
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_ 1869422505918201857
spelling ELG spectroscopic systematics analysis of the DESI Data Release 1Yu, JiaxiGaztañaga, EnriquePrada, FranciscoCosmological parameters from LSSGalaxy clusteringGalaxy surveysRedshift surveysJ. Yu et al. -- Dark Energy Spectroscopic Instrument (DESI) survey Year 1 results. -- ArXiv ePrint: 2405.16657Dark Energy Spectroscopic Instrument (DESI) uses more than 2.4 million Emission Line Galaxies (ELGs) for 3D large-scale structure (LSS) analyses in its Data Release 1 (DR1). Such large statistics enable thorough research on systematic uncertainties. In this study, we focus on spectroscopic systematics of ELGs. The redshift success rate (fgoodz) is the relative fraction of secure redshifts among all measurements. It depends on observing conditions, thus introduces non-cosmological variations to the LSS. We, therefore, develop the redshift failure weight (wzfail) and a per-fibre correction (ηzfail) to mitigate these dependences. They have minor influences on the galaxy clustering. For ELGs with a secure redshift, there are two subtypes of systematics: 1) catastrophics (large) that only occur in a few samples; 2) redshift uncertainty (small) that exists for all samples. The catastrophics represent 0.26% of the total DR1 ELGs, composed of the confusion between [O ii] and sky residuals, double objects, total catastrophics and others. We simulate the realistic 0.26% catastrophics of DR1 ELGs, the hypothetical 1% catastrophics, and the truncation of the contaminated 1.31 < z < 1.33 in the AbacusSummit ELG mocks. Their Pℓ show non-negligible bias from the uncontaminated mocks. But their influences on the redshift space distortions (RSD) parameters are smaller than 0.2σ. The redshift uncertainty of DR1 ELGs is 8.5km s-1 with a Lorentzian profile. The code for implementing the catastrophics and redshift uncertainty on mocks can be found in https://github.com/Jiaxi-Yu/modelling_spectro_sys.JY, DFS, and JPK acknowledge the support from the SNF 200020_175751 and 200020_207379 “Cosmology with 3D Maps of the Universe” research grant. We would like to thank Anand Raichoor, Allyson Brodzeller, Ruiyang Zhao and Julien Guy for their helpful discussions. We also would like to thank Andrei Variu for his support in visualising DESI spectra. This material is based upon work supported by the U.S. Department of Energy (DOE), Office of Science, Office of High-Energy Physics, under Contract No. DE-AC02-05CH11231, and by the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility under the same contract. Additional support for DESI was provided by the U.S. National Science Foundation (NSF), Division of Astronomical Sciences under Contract No. AST-0950945 to the NSF’s National Optical-Infrared Astronomy Research Laboratory; the Science and Technology Facilities Council of the United Kingdom; the Gordon and Betty Moore Foundation; the Heising-Simons Foundation; the French Alternative Energies and Atomic Energy Commission (CEA); the National Council of Humanities, Science and Technology of Mexico (CONAHCYT); the Ministry of Science and Innovation of Spain (MICINN), and by the DESI Member Institutions: https://www.desi.lbl.gov/collaborating-institutions. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the U.S. National Science Foundation, the U.S. Department of Energy, or any of the listed funding agencies. The authors are honored to be permitted to conduct scientific research on Iolkam Du’ag (Kitt Peak), a mountain with particular significance to the Tohono O’odham Nation.Peer reviewedIOP PublishingNational Science Foundation (US)Department of Energy (US)Science and Technology Facilities Council (UK)Gordon and Betty Moore FoundationHeising Simons FoundationCommissariat à l'Ènergie Atomique et aux Ènergies Alternatives (France)Consejo Nacional de Humanidades, Ciencias y Tecnologías (México)Ministerio de Ciencia e Innovación (España)Yu, Jiaxi [0009-0001-7217-8006]Gaztañaga, Enrique [0000-0001-9632-0815]Prada, Francisco [0000-0001-7145-8674]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/385425reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésThe underlying dataset has been published as supplementary material of the article in the publisher platform at DOI 10.1088/1475-7516/2025/01/126https://doi.org/10.1088/1475-7516/2025/01/126Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3854252026-05-22T06:33:51Z
score 15,811543

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