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    Using Spatial Curvature with H II Galaxies and Cosmic Chronometers to Explore the Tension in H 0

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    Ruan_2019_ApJ_881_137.pdf
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    Author
    Ruan, Cheng-Zong
    Melia, Fulvio cc
    Chen, Yu
    Zhang, Tong-Jie
    Affiliation
    Univ Arizona, Dept Phys, Appl Math Program
    Univ Arizona, Dept Astron
    Issue Date
    2019-08-21
    Keywords
    cosmological parameters
    distance scale
    
    Metadata
    Show full item record
    Publisher
    IOP PUBLISHING LTD
    Citation
    Cheng-Zong Ruan et al 2019 ApJ 881 137
    Journal
    ASTROPHYSICAL JOURNAL
    Rights
    Copyright © 2019. The American Astronomical Society.
    Collection Information
    This 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 repository@u.library.arizona.edu.
    Abstract
    We present a model-independent measurement of spatial curvature Omega(k) in the Friedmann-Lemaitre-Robertson-Walker universe, based on observations of the Hubble parameter H(z) using cosmic chronometers, and a Gaussian process (GP) reconstruction of the H II galaxy Hubble diagram. We show that the imposition of spatial flatness (i.e., Omega(k) - 0) easily distinguishes between the Hubble constant measured with Planck and that based on the local distance ladder. We find an optimized curvature parameter Omega(k) = -0.120(-0.147)(+0.168) when using the former (i.e., H-0 = 67.66 +/- 0.42 km s(-1) Mpc(-1)), and Omega(k) = -0.298(-0.088)(+0.122) for the latter (H-0 = 73.24 +/- 1.74 km s(-1) Mpc(-1)). The quoted uncertainties are extracted by Monte Carlo sampling, taking into consideration the covariances between the function and its derivative reconstructed by GP. These data therefore reveal that the condition of spatial flatness favors the Planck measurement, while ruling out the locally inferred Hubble constant as a true measure of the large-scale cosmic expansion rate at a confidence level of similar to 3 sigma.
    ISSN
    0004-637X
    DOI
    10.3847/1538-4357/ab2ed0
    Version
    Final published version
    Sponsors
    National Key R&D Program of China [2017YFA0402600]; National Science Foundation of China [11573006, 11528306]; Fundamental Research Funds for the Central Universities; Special Program for Applied Research on Super Computation of the NSFC-Guangdong Joint Fund
    ae974a485f413a2113503eed53cd6c53
    10.3847/1538-4357/ab2ed0
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