English

$H_0$ from cosmic chronometers and Type Ia supernovae, with Gaussian processes and the weighted polynomial regression method

Cosmology and Nongalactic Astrophysics 2019-05-13 v1 General Relativity and Quantum Cosmology

Abstract

We derive new constraints on the Hubble parameter H0H_0 using the available data on H(z)H(z) from cosmic chronometers (CCH), and the Hubble rate data points from the supernovae of Type Ia (SnIa) of the Pantheon compilation and the Hubble Space Telescope (HST) CANDELS and CLASH Multy-Cycle Treasury (MCT) programs. We employ two alternative techniques, Gaussian Processes (GPs) and the Weighted Polynomial Regression (WPR) method, to reconstruct the Hubble function, determine the derived values of H0H_0, and compare them with the local HST measurement provided by Riess {\it et al.} (2018), H0HST=(73.48±1.66)H_0^{{\rm HST}}=(73.48\pm1.66) km/s/Mpc, and with the Planck+Λ\LambdaCDM value, H0P18=(66.88±0.92)H_0^{{\rm P18}}=(66.88\pm 0.92) km/s/Mpc. With GPs we obtain H0=(67.99±1.94)H_0=(67.99\pm 1.94) km/s/Mpc, and with the WPR method H0=(68.90±1.96)H_0=(68.90\pm 1.96) km/s/Mpc. Both are fully compatible at <1σ<1\sigma c.l., and also with H0P18H_0^{{\rm P18}}. In contrast, they are in 2σ\sim 2\sigma tension with H0HSTH_0^{{\rm HST}}.

Keywords

Cite

@article{arxiv.1905.04052,
  title  = {$H_0$ from cosmic chronometers and Type Ia supernovae, with Gaussian processes and the weighted polynomial regression method},
  author = {Adrià Gómez-Valent and Luca Amendola},
  journal= {arXiv preprint arXiv:1905.04052},
  year   = {2019}
}

Comments

Presented at the 15th Marcel Grossmann Meeting-MG15 (Rome, Italy, July 1-7, 2018), to appear in the proceedings. This is based on our JCAP 1804 (2018) 051 (arXiv:1802.01505)