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dc.contributor.authorYennapureddy, Manoj K.
dc.contributor.authorMelia, Fulvio
dc.date.accessioned2018-12-21T21:05:21Z
dc.date.available2018-12-21T21:05:21Z
dc.date.issued2017-11-20
dc.identifier.citationManoj K. Yennapureddy and Fulvio Melia JCAP11(2017)029en_US
dc.identifier.issn1475-7516
dc.identifier.doi10.1088/1475-7516/2017/11/029
dc.identifier.urihttp://hdl.handle.net/10150/631240
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherIOP PUBLISHING LTDen_US
dc.relation.urlhttp://stacks.iop.org/1475-7516/2017/i=11/a=029?key=crossref.983bc418f1d98cc5cbcd3d43efa24a88en_US
dc.relation.urlhttps://arxiv.org/abs/1711.03454en_US
dc.rights© 2017 IOP Publishing Ltd and Sissa Medialab.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.titleReconstruction of the HII galaxy Hubble diagram using Gaussian processesen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Dept Physen_US
dc.contributor.departmentUniv Arizona, Dept Phys, Appl Math Programen_US
dc.contributor.departmentUniv Arizona, Steward Observatoryen_US
dc.identifier.journalJOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICSen_US
dc.description.note12 month embargo; published 20 November 2017en_US
dc.description.collectioninformationThis 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.en_US
dc.eprint.versionFinal accepted manuscripten_US
dc.source.journaltitleJournal of Cosmology and Astroparticle Physics
dc.source.volume2017
dc.source.issue11
dc.source.beginpage029
dc.source.endpage029
refterms.dateFOA2018-11-20T00:00:00Z


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