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Bahamas: new analysis of type la supernovae reveals inconsistencies with standard cosmology

Shariff H.
•
Jiao X.
•
Trotta R.
•
Van Dyk D. A.
2016
  • journal article

Periodico
THE ASTROPHYSICAL JOURNAL
Abstract
We present results obtained by applying our Bayesian HierArchical Modeling for the Analysis of Supernova cosmology (Bahamas) software package to the 740 spectroscopically confirmed supernovae of type Ia (SNe Ia) from the "Joint Light-curve Analysis" (JLA) data set. We simultaneously determine cosmological parameters and standardization parameters, including corrections for host galaxy mass, residual scatter, and object-by-object intrinsic magnitudes. Combining JLA and Planck data on the cosmic microwave background, we find significant discrepancies in cosmological parameter constraints with respect to the standard analysis: we find Ωm = 0.399 ± 0.027, 2.8σ, higher than previously reported, and w = -0.910 ± 0.045, 1.6σ, higher than the standard analysis. We determine the residual scatter to be σres = 0.104 ± 0.005. We confirm (at the 95% probability level) the existence of two subpopulations segregated by host galaxy mass, separated at log10 (M/M⊙) = 10, differing in mean intrinsic magnitude by 0.055 ± 0.022 mag, lower than previously reported. Cosmological parameter constraints, however, are unaffected by the inclusion of corrections for host galaxy mass. We find ∼4σ evidence for a sharp drop in the value of the color correction parameter, β (z), at a redshift zt = 0.662 ± 0.055. We rule out some possible explanations for this behavior, which remains unexplained.
DOI
10.3847/0004-637X/827/1/1
WOS
WOS:000382009500001
Archivio
http://hdl.handle.net/20.500.11767/116837
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84982279759
Diritti
open access
Soggetti
  • cosmological paramete...

  • dark energy

  • dark matter

  • distance scale

  • methods: statistical

  • Settore FIS/05 - Astr...

Scopus© citazioni
47
Data di acquisizione
Jun 2, 2022
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Web of Science© citazioni
42
Data di acquisizione
Mar 18, 2024
Visualizzazioni
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Data di acquisizione
Apr 19, 2024
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