pith. machine review for the scientific record. sign in

arxiv: 1803.04109 · v1 · submitted 2018-03-12 · 🌌 astro-ph.CO · gr-qc

Recognition: unknown

What is parameterized Om(z) diagnostics telling us in light of recent observations?

Jing-Zhao Qi, Marek Biesiada, Shuo Cao, Sixuan Zhang, Tengpeng Xu, Yan Wu, Zong-Hong Zhu

Authors on Pith no claims yet
classification 🌌 astro-ph.CO gr-qc
keywords constantlambdaobservationsdatahubblerecentresultsconsistency
0
0 comments X
read the original abstract

In this paper, we propose a new parametrization of $Om(z)$ diagnostics and show how the most recent and significantly improved observations concerning the $H(z)$ and SN Ia measurements can be used to probe the consistency or tension between $\Lambda$CDM model and observations. Our results demonstrates that $H_0$ plays a very important role in the consistency test of $\Lambda$CDM with the $H(z)$ data. Adopting the Hubble constant priors from \textit{Planck} 2013 and Riess (2016), one finds a considerable tension between the current $H(z)$ data and $\Lambda$CDM model and confirms the conclusions obtained previously by the others. However, with the Hubble constant prior taken from WMAP9, the discrepancy between $H(z)$ data and $\Lambda$CDM disappears, i.e., the current $H(z)$ observations still support the cosmological constant scenario. This conclusion is also supported by the results derived from the JLA SNe Ia sample. The best-fit Hubble constant from the combination of $H(z)$+JLA ($H_0=68.81^{+1.50}_{-1.49}$ km/s/Mpc) is well consistent with the results derived both by Planck 2013 and WMAP9, which is significantly different from the recent local measurement by Riess (2016).

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Latent-Space Gaussian Processes for Dark-Energy Reconstruction from Observational \(H(z)\) Data

    astro-ph.CO 2026-05 unverdicted novelty 5.0

    Latent-f and latent-H Gaussian process reconstructions from OHD data both yield f(z), w(z), and Om(z) consistent with Lambda-CDM, with no strong predictive preference and small prior-dependent residuals mainly at high...