Analytical and EZmock covariance validation for the DESI 2024 results
D. Forero-Sánchez et al. -- Dark energy spectroscopic instrument (DESI) survey year 1 results. -- ArXiv ePrint: 2411.12027
| Autores: | , , |
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| 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:10261/391050 |
| Acceso en línea: | http://hdl.handle.net/10261/391050 https://api.elsevier.com/content/abstract/scopus_id/105003121194 |
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| Palabra clave: | Baryon acoustic oscillations Cosmological parameters from LSS Cosmological simulations Redshift surveys |
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Analytical and EZmock covariance validation for the DESI 2024 results 04(2025)055 |
| title |
Analytical and EZmock covariance validation for the DESI 2024 results |
| spellingShingle |
Analytical and EZmock covariance validation for the DESI 2024 results Forero Sánchez, Daniel Baryon acoustic oscillations Cosmological parameters from LSS Cosmological simulations Redshift surveys |
| title_short |
Analytical and EZmock covariance validation for the DESI 2024 results |
| title_full |
Analytical and EZmock covariance validation for the DESI 2024 results |
| title_fullStr |
Analytical and EZmock covariance validation for the DESI 2024 results |
| title_full_unstemmed |
Analytical and EZmock covariance validation for the DESI 2024 results |
| title_sort |
Analytical and EZmock covariance validation for the DESI 2024 results |
| dc.creator.none.fl_str_mv |
Forero Sánchez, Daniel Gil-Marín, Héctor Gaztañaga, Enrique |
| author |
Forero Sánchez, Daniel |
| author_facet |
Forero Sánchez, Daniel Gil-Marín, Héctor Gaztañaga, Enrique |
| author_role |
author |
| author2 |
Gil-Marín, Héctor Gaztañaga, Enrique |
| author2_role |
author author |
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Ministerio de Ciencia e Innovación (España) Forero Sánchez, Daniel [0000-0001-5957-332X] Gil-Marín, Héctor [0000-0003-0265-6217] Gaztañaga, Enrique [0000-0001-9632-0815] Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Baryon acoustic oscillations Cosmological parameters from LSS Cosmological simulations Redshift surveys |
| topic |
Baryon acoustic oscillations Cosmological parameters from LSS Cosmological simulations Redshift surveys |
| description |
D. Forero-Sánchez et al. -- Dark energy spectroscopic instrument (DESI) survey year 1 results. -- ArXiv ePrint: 2411.12027 |
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2025 |
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2025 2025 2025 |
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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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http://hdl.handle.net/10261/391050 https://api.elsevier.com/content/abstract/scopus_id/105003121194 |
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http://hdl.handle.net/10261/391050 https://api.elsevier.com/content/abstract/scopus_id/105003121194 |
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Inglés |
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Inglés |
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The underlying dataset has been published as supplementary material of the article in the publisher platform at DOI 10.1088/1475-7516/2025/04/055 https://doi.org/10.1088/1475-7516/2025/04/055 Sí |
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IOP Publishing |
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IOP Publishing |
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Analytical and EZmock covariance validation for the DESI 2024 results04(2025)055Forero Sánchez, DanielGil-Marín, HéctorGaztañaga, EnriqueBaryon acoustic oscillationsCosmological parameters from LSSCosmological simulationsRedshift surveysD. Forero-Sánchez et al. -- Dark energy spectroscopic instrument (DESI) survey year 1 results. -- ArXiv ePrint: 2411.12027The estimation of uncertainties in cosmological parameters is an important challenge in Large-Scale-Structure (LSS) analyses. For standard analyses such as Baryon Acoustic Oscillations (BAO) and Full-Shape two approaches are usually considered. First: analytical estimates of the covariance matrix use Gaussian approximations and (nonlinear) clustering measurements to estimate the matrix, which allows a relatively fast and computationally cheap way to generate matrices that adapt to an arbitrary clustering measurement. On the other hand, sample covariances are an empirical estimate of the matrix based on an ensemble of clustering measurements from fast and approximate simulations. While more computationally expensive due to the large amount of simulations and volume required, these allow us to take into account systematics that are impossible to model analytically. In this work we compare these two approaches in order to enable DESI's key analyses. We find that the configuration space analytical estimate performs satisfactorily in BAO analyses and its flexibility in terms of input clustering makes it the fiducial choice for DESI's 2024 BAO analysis. On the contrary, the analytical computation of the covariance matrix in Fourier space does not reproduce the expected measurements in terms of Full-Shape analyses, which motivates the use of a corrected mock covariance for DESI's 2024 Full Shape analysis.DFS acknowledges support from the Swiss National Science Foundation (SNF) “Cosmology with 3D Maps of the Universe” research grant, 200020_175751 and 200020_207379. H-JS acknowledges support from the U.S. Department of Energy, Office of Science, Office of High Energy Physics under grant No. DE-SC0023241. 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 (CONACYT); 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)Forero Sánchez, Daniel [0000-0001-5957-332X]Gil-Marín, Héctor [0000-0003-0265-6217]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/10261/391050https://api.elsevier.com/content/abstract/scopus_id/105003121194reponame: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 10.1088/1475-7516/2025/04/055https://doi.org/10.1088/1475-7516/2025/04/055Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3910502026-05-22T06:33:51Z |
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15,81155 |