Improving the precision matrix for precision cosmology
- Autores
- Paz, Dante Javier; Sánchez, Ariel G.
- Año de publicación
- 2015
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The estimation of cosmological constraints from observations of the large-scale structure of the Universe, such as the power spectrum or the correlation function, requires the knowledge of the inverse of the associated covariance matrix, namely the precision matrix, Ψ. In most analyses, Ψ is estimated from a limited set of mock catalogues. Depending on howmany mocks are used, this estimation has an associated error which must be propagated into the final cosmological constraints. For future surveys such as Euclid and Dark Energy Spectroscopic Instrument, the control of this additional uncertainty requires a prohibitively large number of mock catalogues. In this work, we test a novel technique for the estimation of the precision matrix, the covariance tapering method, in the context of baryon acoustic oscillation measurements. Even though this technique was originally devised as a way to speed up maximum likelihood estimations, our results show that it also reduces the impact of noisy precision matrix estimates on the derived confidence intervals, without introducing biases on the target parameters. The application of this technique can help future surveys to reach their true constraining power using a significantly smaller number of mock catalogues.
Fil: Paz, Dante Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina
Fil: Sánchez, Ariel G.. Max Planck Institut fur extraterrestrische Physik; Alemania - Materia
-
LARGESCALE STRUCTURE OF UNIVERSE
METHODS: DATA ANALYSIS
METHODS: OBSERVATIONAL
METHODS: STATISTICAL - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/70474
Ver los metadatos del registro completo
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Improving the precision matrix for precision cosmologyPaz, Dante JavierSánchez, Ariel G.LARGESCALE STRUCTURE OF UNIVERSEMETHODS: DATA ANALYSISMETHODS: OBSERVATIONALMETHODS: STATISTICALhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1The estimation of cosmological constraints from observations of the large-scale structure of the Universe, such as the power spectrum or the correlation function, requires the knowledge of the inverse of the associated covariance matrix, namely the precision matrix, Ψ. In most analyses, Ψ is estimated from a limited set of mock catalogues. Depending on howmany mocks are used, this estimation has an associated error which must be propagated into the final cosmological constraints. For future surveys such as Euclid and Dark Energy Spectroscopic Instrument, the control of this additional uncertainty requires a prohibitively large number of mock catalogues. In this work, we test a novel technique for the estimation of the precision matrix, the covariance tapering method, in the context of baryon acoustic oscillation measurements. Even though this technique was originally devised as a way to speed up maximum likelihood estimations, our results show that it also reduces the impact of noisy precision matrix estimates on the derived confidence intervals, without introducing biases on the target parameters. The application of this technique can help future surveys to reach their true constraining power using a significantly smaller number of mock catalogues.Fil: Paz, Dante Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; ArgentinaFil: Sánchez, Ariel G.. Max Planck Institut fur extraterrestrische Physik; AlemaniaOxford University Press2015-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/70474Paz, Dante Javier; Sánchez, Ariel G.; Improving the precision matrix for precision cosmology; Oxford University Press; Monthly Notices of the Royal Astronomical Society; 454; 4; 12-2015; 4326-43340035-8711CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1093/mnras/stv2259info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/mnras/article/454/4/4326/1000532info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:32:26Zoai:ri.conicet.gov.ar:11336/70474instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:32:26.369CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Improving the precision matrix for precision cosmology |
title |
Improving the precision matrix for precision cosmology |
spellingShingle |
Improving the precision matrix for precision cosmology Paz, Dante Javier LARGESCALE STRUCTURE OF UNIVERSE METHODS: DATA ANALYSIS METHODS: OBSERVATIONAL METHODS: STATISTICAL |
title_short |
Improving the precision matrix for precision cosmology |
title_full |
Improving the precision matrix for precision cosmology |
title_fullStr |
Improving the precision matrix for precision cosmology |
title_full_unstemmed |
Improving the precision matrix for precision cosmology |
title_sort |
Improving the precision matrix for precision cosmology |
dc.creator.none.fl_str_mv |
Paz, Dante Javier Sánchez, Ariel G. |
author |
Paz, Dante Javier |
author_facet |
Paz, Dante Javier Sánchez, Ariel G. |
author_role |
author |
author2 |
Sánchez, Ariel G. |
author2_role |
author |
dc.subject.none.fl_str_mv |
LARGESCALE STRUCTURE OF UNIVERSE METHODS: DATA ANALYSIS METHODS: OBSERVATIONAL METHODS: STATISTICAL |
topic |
LARGESCALE STRUCTURE OF UNIVERSE METHODS: DATA ANALYSIS METHODS: OBSERVATIONAL METHODS: STATISTICAL |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
The estimation of cosmological constraints from observations of the large-scale structure of the Universe, such as the power spectrum or the correlation function, requires the knowledge of the inverse of the associated covariance matrix, namely the precision matrix, Ψ. In most analyses, Ψ is estimated from a limited set of mock catalogues. Depending on howmany mocks are used, this estimation has an associated error which must be propagated into the final cosmological constraints. For future surveys such as Euclid and Dark Energy Spectroscopic Instrument, the control of this additional uncertainty requires a prohibitively large number of mock catalogues. In this work, we test a novel technique for the estimation of the precision matrix, the covariance tapering method, in the context of baryon acoustic oscillation measurements. Even though this technique was originally devised as a way to speed up maximum likelihood estimations, our results show that it also reduces the impact of noisy precision matrix estimates on the derived confidence intervals, without introducing biases on the target parameters. The application of this technique can help future surveys to reach their true constraining power using a significantly smaller number of mock catalogues. Fil: Paz, Dante Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto de Astronomía Teórica y Experimental. Universidad Nacional de Córdoba. Observatorio Astronómico de Córdoba. Instituto de Astronomía Teórica y Experimental; Argentina Fil: Sánchez, Ariel G.. Max Planck Institut fur extraterrestrische Physik; Alemania |
description |
The estimation of cosmological constraints from observations of the large-scale structure of the Universe, such as the power spectrum or the correlation function, requires the knowledge of the inverse of the associated covariance matrix, namely the precision matrix, Ψ. In most analyses, Ψ is estimated from a limited set of mock catalogues. Depending on howmany mocks are used, this estimation has an associated error which must be propagated into the final cosmological constraints. For future surveys such as Euclid and Dark Energy Spectroscopic Instrument, the control of this additional uncertainty requires a prohibitively large number of mock catalogues. In this work, we test a novel technique for the estimation of the precision matrix, the covariance tapering method, in the context of baryon acoustic oscillation measurements. Even though this technique was originally devised as a way to speed up maximum likelihood estimations, our results show that it also reduces the impact of noisy precision matrix estimates on the derived confidence intervals, without introducing biases on the target parameters. The application of this technique can help future surveys to reach their true constraining power using a significantly smaller number of mock catalogues. |
publishDate |
2015 |
dc.date.none.fl_str_mv |
2015-12 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/70474 Paz, Dante Javier; Sánchez, Ariel G.; Improving the precision matrix for precision cosmology; Oxford University Press; Monthly Notices of the Royal Astronomical Society; 454; 4; 12-2015; 4326-4334 0035-8711 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/70474 |
identifier_str_mv |
Paz, Dante Javier; Sánchez, Ariel G.; Improving the precision matrix for precision cosmology; Oxford University Press; Monthly Notices of the Royal Astronomical Society; 454; 4; 12-2015; 4326-4334 0035-8711 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1093/mnras/stv2259 info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/mnras/article/454/4/4326/1000532 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Oxford University Press |
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Oxford University Press |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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