The Value of $H_0$ from Gaussian Processes

Abstract

A new non-parametric method based on Gaussian Processes was proposed recently to measure the Hubble constant $H_0$. The freedom in this approach comes in the chosen covariance function, which determines how smooth the process is and how nearby points are correlated. We perform coverage tests with a thousand mock samples within the LCDM model in order to determine what covariance function provides the least biased results. The function Matern(5/2) is the best with sligthly higher errors than other covariance functions, although much more stable when compared to standard parametric analyses.

arXiv comment3 pages, proceedings from the IAUS306 conference

References in corpus (4)

• Planck 2013 results. XVI. Cosmological parameters
• Planck Data Reconsidered
• Evidence for a Lower Value for $H_0$ from Cosmic Chronometers Data?
• Optimising Gaussian processes for reconstructing dark energy dynamics from supernovae

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