Testing the Rh=ct universe jointly with the redshift-dependent expansion rate and angular-diameter and luminosity distances
AffiliationUniv Arizona, Appl Math Program, Dept Phys
Univ Arizona, Dept Astron
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CitationWan, H. Y., Cao, S. L., Melia, F., & Zhang, T. J. (2019). Testing the Rh= ct universe jointly with the redshift-dependent expansion rate and angular-diameter and luminosity distances. Physics of the Dark Universe, 26, 100405.
JournalPHYSICS OF THE DARK UNIVERSE
Rights© 2019 Elsevier B.V. All rights reserved.
Collection InformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at email@example.com.
AbstractWe use three different data sets, specifically H(z) measurements from cosmic chronometers, the HII-galaxy Hubble diagram, and reconstructed quasar-core angular-size measurements, to perform a joint analysis of three flat cosmological models: the R-h = ct Universe, Lambda CDM, and wCDM. For R-h = ct, the 1 sigma best-fit value of the Hubble constant H-0 is 62.336 +/- 1.464 km s(-1) Mpc(-1), which matches previous measurements (similar to 63 km s(-1) Mpc(-1)) based on best fits to individual data sets. For Lambda CDM, our inferred value of the Hubble constant, H-0 = 67.013 +/- 2.578 km s(-1) Mpc(-1), is more consistent with the Planck optimization than the locally measured value using Cepheid variables, and the matter density Omega(m) = 0.347 +/- 0.049 similarly coincides with its Planck value to within 1 sigma. For wCDM, the optimized parameters are H-0 = 64.718 +/- 3.088 km s(-1) Mpc(-1), Omega(m) = 0.247 +/- 0.108 and w = -0.693 +/- 0.276, also consistent with Planck. A direct comparison of these three models using the Bayesian Information Criterion shows that the R-h = ct universe is favored by the joint analysis with a likelihood of similar to 97% versus. 3% for the other two cosmologies. (c) 2019 Elsevier B.V. All rights reserved.
Note24 month embargo; published online: 29 October 2019
VersionFinal accepted manuscript
SponsorsNational Science Foundation of ChinaNational Natural Science Foundation of China [11573006, 11929301]; National Key R&D Program of China [2017YFA0402600]