Debiasing Cosmic Gravitational Wave Sirens [Article]
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Date
2019-05-27
Authors
Keeley, Ryan E.
Shafieloo, Arman
L'Huillier, Benjamin
Linder, Eric V.
Journal Title
Journal ISSN
Volume Title
Publisher
NURIS; Energetic Cosmos Laboratory
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.
Description
Energetic Cosmos Laboratory. ECL Publication, 2019
Keywords
The 2nd international conference of the Energetic Cosmos Laboratory (ECL), Energetic Cosmos Laboratory (ECL), ECL19
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