Debiasing Cosmic Gravitational Wave Sirens [Article]

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dc.contributor.authorKeeley, Ryan E.
dc.contributor.authorShafieloo, Arman
dc.contributor.authorL'Huillier, Benjamin
dc.contributor.authorLinder, Eric V.
dc.date.accessioned2019-07-19T05:34:38Z
dc.date.available2019-07-19T05:34:38Z
dc.date.issued2019-05-27
dc.descriptionEnergetic Cosmos Laboratory. ECL Publication, 2019en_US
dc.description.abstractAccurate estimation of the Hubble constant, and other cosmological parameters, from distances measured by cosmic gravitational wave sirens requires sufficient allowance for the dark energy evolution. We demonstrate how model independent statistical methods, specifically Gaussian process regression, can remove bias in the reconstruction of H(z), and can be combined model independently with supernova distances.en_US
dc.identifier.citationEric V.Linder et al. (2019). Debiasing Cosmic Gravitational Wave Sirens. The 2nd international conference of the Energetic Cosmos Laboratory (ECL) at Nazarbayev University. Retrieved from https://arxiv.org/pdf/1905.10216.pdfen_US
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/4015
dc.language.isoenen_US
dc.publisherNURIS; Energetic Cosmos Laboratoryen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectThe 2nd international conference of the Energetic Cosmos Laboratory (ECL)en_US
dc.subjectEnergetic Cosmos Laboratory (ECL)en_US
dc.subjectECL19en_US
dc.titleDebiasing Cosmic Gravitational Wave Sirens [Article]en_US
dc.typeArticleen_US
workflow.import.sourcescience

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