Debiasing Cosmic Gravitational Wave Sirens [Article]

Keeley, Ryan E.; Shafieloo, Arman; L'Huillier, Benjamin; Linder, Eric V.

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dc.contributor.author	Keeley, Ryan E.
dc.contributor.author	Shafieloo, Arman
dc.contributor.author	L'Huillier, Benjamin
dc.contributor.author	Linder, Eric V.
dc.date.accessioned	2019-07-19T05:34:38Z
dc.date.available	2019-07-19T05:34:38Z
dc.date.issued	2019-05-27
dc.identifier.citation	Eric 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.pdf	en_US
dc.identifier.uri	http://nur.nu.edu.kz/handle/123456789/4015
dc.description	Energetic Cosmos Laboratory. ECL Publication, 2019	en_US
dc.description.abstract	Accurate 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.language.iso	en	en_US
dc.publisher	NURIS; Energetic Cosmos Laboratory	en_US
dc.rights	Attribution-NonCommercial-ShareAlike 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-sa/3.0/us/	*
dc.subject	The 2nd international conference of the Energetic Cosmos Laboratory (ECL)	en_US
dc.subject	Energetic Cosmos Laboratory (ECL)	en_US
dc.subject	ECL19	en_US
dc.title	Debiasing Cosmic Gravitational Wave Sirens [Article]	en_US
dc.type	Article	en_US
workflow.import.source	science