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SUMMARY:Surprising results from a Bayesian analysis of Supernova Type Ia d
 ata - Roberto Trotta (Imperial)
DTSTART:20151109T130000Z
DTEND:20151109T140000Z
UID:TALK61028@talks.cam.ac.uk
CONTACT:Daisy Mak
DESCRIPTION:Supernovae type Ia (SNIa) are one of the observational pillars
  of the LambdaCDM model\, and have been instrumental in determining the ex
 istence of dark energy. While the observational effort has been very succe
 ssful in finding over 1\,000 cosmologically useful SNIa's (and more progre
 ss is being made e.g. by extending observations to the near infrared)\, th
 e sophistication of statistical methods employed to analyse the data and i
 nfer cosmological parameters has been lagging behind. \n\nIn this talk I w
 ill present new results from BAHAMAS (BAyesian HierArchical Modeling for t
 he Analysis of Supernova cosmology)\, a fully Bayesian analysis of the JLA
  SNIa data\, a demonstrably superior approach which improves on many short
 comings of the usual method. I will report on surprising and as of yet une
 xplained systematic shifts in the recovered cosmological parameters: the m
 atter content of the Universe and the curvature parameter show 2-sigma dis
 crepancies with respect to standard cosmology. I will discuss the possibil
 ity of undetected systematic errors in the colour correction parameters. I
  will present some preliminary findings about BAHAMAS constraints on the a
 nisotropy of cosmic expansion\, and on the usefulness of exploiting the lo
 cation of the SNIa in its host galaxy to improve the colour correction and
  SNIa standardization. 
LOCATION:CMS\, Pav. B\, CTC Common Room (B1.19) [Potter Room]
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