BAHAMAS: new SNIa analysis reveals inconsistencies with standard cosmology
File(s)1510.05954v2.pdf (3.48 MB) apj_827_1_1.pdf (1.8 MB)
Accepted version
Published version
Author(s)
Shariff, H
Jiao, X
Trotta, R
Dyk, DAV
Type
Journal Article
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 type Ia (SNIa) from the "Joint Light-curve Analysis" (JLA) dataset. We simultaneously determine cosmological parameters and standardization parameters, including host galaxy mass corrections, residual scatter and object-by-object intrinsic magnitudes. Combining JLA and Planck Cosmic Microwave Background data, we find significant discrepancies in cosmological parameter constraints with respect to the standard analysis: we find Omega_M = 0.399+/-0.027, 2.8\sigma\ higher than previously reported and w = -0.910+/-0.045, 1.6\sigma\ higher than the standard analysis. We determine the residual scatter to be sigma_res = 0.104+/-0.005. We confirm (at the 95% probability level) the existence of two sub-populations segregated by host galaxy mass, separated at log_{10}(M/M_solar) = 10, differing in mean intrinsic magnitude by 0.055+/-0.022 mag, lower than previously reported. Cosmological parameter constraints are however unaffected by inclusion of host galaxy mass corrections. We find ~4\sigma\ evidence for a sharp drop in the value of the color correction parameter, beta(z), at a redshift z_trans = 0.662+/-0.055. We rule out some possible explanations for this behaviour, which remains unexplained.
Date Issued
2016-08-03
Date Acceptance
2016-04-04
ISSN
1538-4357
Publisher
American Astronomical Society
Journal / Book Title
Astrophysical Journal
Volume
827
Copyright Statement
© 2016. The American Astronomical Society. All rights reserved.
Sponsor
Imperial College Trust
Engineering & Physical Science Research Council (E
Identifier
http://arxiv.org/abs/1510.05954v2
Grant Number
NA
EP/K503733/1
Subjects
Science & Technology
Physical Sciences
Astronomy & Astrophysics
cosmological parameters
dark energy
dark matter
distance scale
methods: statistical
COLLAPSED GIBBS SAMPLERS
HOST-GALAXY PROPERTIES
LIGHT-CURVE SHAPES
STAR-FORMATION
COVARIANCE STRUCTURE
HUBBLE RESIDUALS
DARK-ENERGY
MONTE-CARLO
SN 2011FE
DATA SETS
astro-ph.CO
0201 Astronomical And Space Sciences
0305 Organic Chemistry
0306 Physical Chemistry (Incl. Structural)
Notes
Additional figures showing constraints from sub-samples from JLA. Matches ApJ accepted version
Publication Status
Published
Article Number
1