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dc.contributor.author
Paz, Dante Javier
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dc.contributor.author
Sánchez, Ariel G.
dc.date.available
2019-02-19T18:34:08Z
dc.date.issued
2015-12
dc.identifier.citation
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
dc.identifier.issn
0035-8711
dc.identifier.uri
http://hdl.handle.net/11336/70474
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Oxford University Press
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Largescale Structure of Universe
dc.subject
Methods: Data Analysis
dc.subject
Methods: Observational
dc.subject
Methods: Statistical
dc.subject.classification
Astronomía
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dc.subject.classification
Ciencias Físicas
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
Improving the precision matrix for precision cosmology
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2019-02-19T14:27:06Z
dc.journal.volume
454
dc.journal.number
4
dc.journal.pagination
4326-4334
dc.journal.pais
Reino Unido
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dc.journal.ciudad
Oxford
dc.description.fil
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
dc.description.fil
Fil: Sánchez, Ariel G.. Max Planck Institut fur extraterrestrische Physik; Alemania
dc.journal.title
Monthly Notices of the Royal Astronomical Society
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1093/mnras/stv2259
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://academic.oup.com/mnras/article/454/4/4326/1000532
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