Validation of the DESI 2024 Lyman alpha forest BAL masking strategy

P. Martini et al. -- Dark energy spectroscopic instrument (DESI) survey year 1 results

Detalles Bibliográficos
Autores: Martini, Paul, Gaztañaga, Enrique
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/394026
Acceso en línea:http://hdl.handle.net/10261/394026
https://api.elsevier.com/content/abstract/scopus_id/85218915785
Access Level:acceso abierto
Palabra clave:Baryon acoustic oscillations
Dark energy experiments
Lyman alpha forest
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repository_id_str
dc.title.none.fl_str_mv Validation of the DESI 2024 Lyman alpha forest BAL masking strategy
title Validation of the DESI 2024 Lyman alpha forest BAL masking strategy
spellingShingle Validation of the DESI 2024 Lyman alpha forest BAL masking strategy
Martini, Paul
Baryon acoustic oscillations
Dark energy experiments
Lyman alpha forest
title_short Validation of the DESI 2024 Lyman alpha forest BAL masking strategy
title_full Validation of the DESI 2024 Lyman alpha forest BAL masking strategy
title_fullStr Validation of the DESI 2024 Lyman alpha forest BAL masking strategy
title_full_unstemmed Validation of the DESI 2024 Lyman alpha forest BAL masking strategy
title_sort Validation of the DESI 2024 Lyman alpha forest BAL masking strategy
dc.creator.none.fl_str_mv Martini, Paul
Gaztañaga, Enrique
author Martini, Paul
author_facet Martini, Paul
Gaztañaga, Enrique
author_role author
author2 Gaztañaga, Enrique
author2_role author
dc.contributor.none.fl_str_mv Ministerio de Ciencia e Innovación (España)
Agencia Estatal de Investigación (España)
Martini, Paul [0000-0002-4279-4182]
Gaztañaga, Enrique [0000-0001-9632-0815]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Baryon acoustic oscillations
Dark energy experiments
Lyman alpha forest
topic Baryon acoustic oscillations
Dark energy experiments
Lyman alpha forest
description P. Martini et al. -- Dark energy spectroscopic instrument (DESI) survey year 1 results
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
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status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/394026
https://api.elsevier.com/content/abstract/scopus_id/85218915785
url http://hdl.handle.net/10261/394026
https://api.elsevier.com/content/abstract/scopus_id/85218915785
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Martini, Paul; Gaztañaga, Enrique et al.; 2024; Validation of the DESI 2024 Lyman Alpha Forest BAL Masking Strategy [Dataset]; Zenodo; https://doi.org/10.5281/zenodo.11194879
https://doi.org/10.1088/1475-7516/2025/01/137
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
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spelling Validation of the DESI 2024 Lyman alpha forest BAL masking strategyMartini, PaulGaztañaga, EnriqueBaryon acoustic oscillationsDark energy experimentsLyman alpha forestP. Martini et al. -- Dark energy spectroscopic instrument (DESI) survey year 1 resultsBroad absorption line quasars (BALs) exhibit blueshifted absorption relative to a number of their prominent broad emission features. These absorption features can contribute to quasar redshift errors and add absorption to the Lyman-α (Lyα) forest that is unrelated to large-scale structure. We present a detailed analysis of the impact of BALs on the Baryon Acoustic Oscillation (BAO) results with the Lyα forest from the first year of data from the Dark Energy Spectroscopic Instrument (DESI). The baseline strategy for the first year analysis is to mask all pixels associated with all BAL absorption features that fall within the wavelength region used to measure the forest. We explore a range of alternate masking strategies and demonstrate that these changes have minimal impact on the BAO measurements with both DESI data and synthetic data. This includes when we mask the BAL features associated with emission lines outside of the forest region to minimize their contribution to redshift errors. We identify differences in the properties of BALs in the synthetic datasets relative to the observational data, as well as use the synthetic observations to characterize the completeness of the BAL identification algorithm, and demonstrate that incompleteness and differences in the BALs between real and synthetic data also do not impact the BAO results for the Lyα forest.PM appreciates culinary motivation from XM to complete this work. PM and LE acknowledge support from the United States Department of Energy, Office of High Energy Physics under Award Number DE-SC0011726. AC acknowledges support provided by NASA through the NASA Hubble Fellowship grant HST-HF2-51526.001-A awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Incorporated, under NASA contract NAS5-26555. 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 PublishingMinisterio de Ciencia e Innovación (España)Agencia Estatal de Investigación (España)Martini, Paul [0000-0002-4279-4182]Gaztañaga, Enrique [0000-0001-9632-0815]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/10261/394026https://api.elsevier.com/content/abstract/scopus_id/85218915785reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésMartini, Paul; Gaztañaga, Enrique et al.; 2024; Validation of the DESI 2024 Lyman Alpha Forest BAL Masking Strategy [Dataset]; Zenodo; https://doi.org/10.5281/zenodo.11194879https://doi.org/10.1088/1475-7516/2025/01/137Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3940262026-05-22T06:33:51Z
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