An analysis of parameter compression and Full-Modeling techniques with Velocileptors for DESI 2024 and beyond

M. Maus et al. -- ArXiv ePrint: 2404.07312. -- Dark Energy Spectroscopic Instrument (DESI) survey year 1 results. -- Data from the plots in this paper are available on Zenodo as part of DESI’s Data Management Plan (DOI: 10.5281/zenodo.10951714). The data used in this analysis will be made public alo...

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Autores: Maus, Mark, Gaztañaga, Enrique, Gil-Marín, Héctor
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:10261/384905
Acceso en línea:http://hdl.handle.net/10261/384905
Access Level:acceso abierto
Palabra clave:Cosmological parameters from LSS
Power spectrum
Baryon acoustic oscillations
Redshift surveys
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network_name_str España
repository_id_str
dc.title.none.fl_str_mv An analysis of parameter compression and Full-Modeling techniques with Velocileptors for DESI 2024 and beyond
title An analysis of parameter compression and Full-Modeling techniques with Velocileptors for DESI 2024 and beyond
spellingShingle An analysis of parameter compression and Full-Modeling techniques with Velocileptors for DESI 2024 and beyond
Maus, Mark
Cosmological parameters from LSS
Power spectrum
Baryon acoustic oscillations
Redshift surveys
title_short An analysis of parameter compression and Full-Modeling techniques with Velocileptors for DESI 2024 and beyond
title_full An analysis of parameter compression and Full-Modeling techniques with Velocileptors for DESI 2024 and beyond
title_fullStr An analysis of parameter compression and Full-Modeling techniques with Velocileptors for DESI 2024 and beyond
title_full_unstemmed An analysis of parameter compression and Full-Modeling techniques with Velocileptors for DESI 2024 and beyond
title_sort An analysis of parameter compression and Full-Modeling techniques with Velocileptors for DESI 2024 and beyond
dc.creator.none.fl_str_mv Maus, Mark
Gaztañaga, Enrique
Gil-Marín, Héctor
author Maus, Mark
author_facet Maus, Mark
Gaztañaga, Enrique
Gil-Marín, Héctor
author_role author
author2 Gaztañaga, Enrique
Gil-Marín, Héctor
author2_role author
author
dc.contributor.none.fl_str_mv Department of Energy (US)
National Science Foundation (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)
Maus, Mark [0000-0002-9020-911X]
Gaztañaga, Enrique [0000-0001-9632-0815]
Gil-Marín, Héctor [0000-0003-0265-6217]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Cosmological parameters from LSS
Power spectrum
Baryon acoustic oscillations
Redshift surveys
topic Cosmological parameters from LSS
Power spectrum
Baryon acoustic oscillations
Redshift surveys
description M. Maus et al. -- ArXiv ePrint: 2404.07312. -- Dark Energy Spectroscopic Instrument (DESI) survey year 1 results. -- Data from the plots in this paper are available on Zenodo as part of DESI’s Data Management Plan (DOI: 10.5281/zenodo.10951714). The data used in this analysis will be made public along the Data Release 1 (details in https://data.desi.lbl.gov/doc/releases/).
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/10261/384905
url http://hdl.handle.net/10261/384905
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 10.1088/1475-7516/2025/01/138
https://doi.org/10.1088/1475-7516/2025/01/138

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_ 1869408763438432256
spelling An analysis of parameter compression and Full-Modeling techniques with Velocileptors for DESI 2024 and beyondMaus, MarkGaztañaga, EnriqueGil-Marín, HéctorCosmological parameters from LSSPower spectrumBaryon acoustic oscillationsRedshift surveysM. Maus et al. -- ArXiv ePrint: 2404.07312. -- Dark Energy Spectroscopic Instrument (DESI) survey year 1 results. -- Data from the plots in this paper are available on Zenodo as part of DESI’s Data Management Plan (DOI: 10.5281/zenodo.10951714). The data used in this analysis will be made public along the Data Release 1 (details in https://data.desi.lbl.gov/doc/releases/).n anticipation of forthcoming data releases of current and future spectroscopic surveys, we present the validation tests and analysis of systematic effects within velocileptors modeling pipeline when fitting mock data from the AbacusSummit N-body simulations. We compare the constraints obtained from parameter compression methods to the direct fitting (Full-Modeling) approaches of modeling the galaxy power spectra, and show that the ShapeFit extension to the traditional template method is consistent with the Full-Modeling method within the standard ΛCDM parameter space. We show the dependence on scale cuts when fitting the different redshift bins using the ShapeFit and Full-Modeling methods. We test the ability to jointly fit data from multiple redshift bins as well as joint analysis of the pre-reconstruction power spectrum with the post-reconstruction BAO correlation function signal. We further demonstrate the behavior of the model when opening up the parameter space beyond ΛCDM and also when combining likelihoods with external datasets, namely the Planck CMB priors. Finally, we describe different parametrization options for the galaxy bias, counterterm, and stochastic parameters, and employ the halo model in order to physically motivate suitable priors that are necessary to ensure the stability of the perturbation theory.We thank Arnaud de Mattia, Pat McDonald, and other members of the Galaxy and Quasar Clustering working group within DESI for helpful discussions pertaining to this work. SC thanks Misha Ivanov and Matias Zaldarriaga for useful discussions on velocity stochasticities. MM and MW are supported by the DOE. SC acknowledges the support of the National Science Foundation at the Institute for Advanced Study. 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 HeisingSimons 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 PublishingDepartment of Energy (US)National Science Foundation (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)Maus, Mark [0000-0002-9020-911X]Gaztañaga, Enrique [0000-0001-9632-0815]Gil-Marín, Héctor [0000-0003-0265-6217]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/10261/384905reponame: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 10.1088/1475-7516/2025/01/138https://doi.org/10.1088/1475-7516/2025/01/138Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3849052026-05-22T06:33:51Z
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