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    Reconstruction of the HII galaxy Hubble diagram using Gaussian processes

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    Author
    Yennapureddy, Manoj K.
    Melia, Fulvio
    Affiliation
    Univ Arizona, Dept Phys
    Univ Arizona, Dept Phys, Appl Math Program
    Univ Arizona, Steward Observatory
    Issue Date
    2017-11-20
    
    Metadata
    Show full item record
    Publisher
    IOP PUBLISHING LTD
    Citation
    Manoj K. Yennapureddy and Fulvio Melia JCAP11(2017)029
    Journal
    JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS
    Rights
    © 2017 IOP Publishing Ltd and Sissa Medialab.
    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
    The Hubble diagram constructed using HII galaxies (HIIGx) and Giant extragalactic HII regions (GEHR) as standard candles already extends beyond the current reach of Type Ia SNe. A sample of 156 HIIGx and GEHR sources has been used previously to compare the predictions of ΛCDM and Rh = ct, the results of which suggested that the HIIGx and GEHR sources strongly favour the latter over the former. But this analysis was based on the application of parametric fits to the data and the use of information criteria, which disfavour the less parsimonious models. In this paper, we advance the use of HII sources as standard candles by utilizing Gaussian processes (GP) to reconstruct the distance modulus representing these data without the need to pre-assume any particular model, none of which may in the end actually be the correct cosmology. In addition, this approach tightly constrains the 1σ confidence region of the reconstructed function, thus providing a better tool with which to differentiate between competing cosmologies. With this approach, we show that the Planck concordance model is in tension with the HII data at more than 2.5σ, while Rh = ct agrees with the GP reconstruction very well, particularly at redshifts gsim 10−3.
    Note
    12 month embargo; published 20 November 2017
    ISSN
    1475-7516
    DOI
    10.1088/1475-7516/2017/11/029
    Version
    Final accepted manuscript
    Additional Links
    http://stacks.iop.org/1475-7516/2017/i=11/a=029?key=crossref.983bc418f1d98cc5cbcd3d43efa24a88
    https://arxiv.org/abs/1711.03454
    ae974a485f413a2113503eed53cd6c53
    10.1088/1475-7516/2017/11/029
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