Figure of Merit and Different Combinations of Observational Data Sets

2011/09/30 by Qiping Su, Zhong-Liang Tuo, Rong-Gen Cai · 1 citation
Physics and Astronomy · #astro-ph.CO #gr-qc

paper · pdf · doi:10.1103/physrevd.84.103519

To be published in Phys.Rev.D, 20 pages, 4 tables

arxiv created 2011/11/08 · arxiv updated 2013/05/29

Abstract

To constrain cosmological parameters, one often makes a joint analysis with different combinations of observational data sets. In this paper we take the figure of merit (FoM) for Dark Energy Task Force fiducial model (CPL model) to estimate goodness of different combinations of data sets, which include 11 widely-used observational data sets (Type Ia Supernovae, Observational Hubble Parameter, Baryon Acoustic Oscillation, Cosmic Microwave Background, X-ray Cluster Baryon Mass Fraction, and Gamma-Ray Bursts). We analyze different combinations and make a comparison for two types of combination based on two types of basic combinations, which are often adopted in the literatures. We find two sets of combinations, which have strong ability to constrain the dark energy parameters, one has the largest FoM, the other contains less observational data with a relative large FoM and a simple fitting procedure.

Cited by

• Observational Constraints and Cosmological Dynamics of Interacting Fractional Holographic Dark Energy in Light of DESI DR2

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