A Parameterization Invariant Approach to the Statistical Estimation of the CKM Phase alpha

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Description

In contrast to previous analyses, we demonstrate a Bayesian approach to the estimation of the CKM phase {alpha} that is invariant to parameterization. We also show that in addition to computing the marginal posterior in a Bayesian manner, the distribution must also be interpreted from a subjective Bayesian viewpoint. Doing so gives a very natural interpretation to the distribution. We also comment on the effect of removing information about {beta}{sup 00}.

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17 pages

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Morris, Robin D.; /RIACS, Mtn. View; Cohen-Tanugi, Johann & /SLAC April 14, 2008.

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Description

In contrast to previous analyses, we demonstrate a Bayesian approach to the estimation of the CKM phase {alpha} that is invariant to parameterization. We also show that in addition to computing the marginal posterior in a Bayesian manner, the distribution must also be interpreted from a subjective Bayesian viewpoint. Doing so gives a very natural interpretation to the distribution. We also comment on the effect of removing information about {beta}{sup 00}.

Physical Description

17 pages

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  • Journal Name: Physical Review D

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  • Report No.: SLAC-PUB-13208
  • Grant Number: AC02-76SF00515
  • Office of Scientific & Technical Information Report Number: 927358
  • Archival Resource Key: ark:/67531/metadc893810

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  • April 14, 2008

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  • Sept. 27, 2016, 1:39 a.m.

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  • Dec. 6, 2016, 3:31 p.m.

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Morris, Robin D.; /RIACS, Mtn. View; Cohen-Tanugi, Johann & /SLAC. A Parameterization Invariant Approach to the Statistical Estimation of the CKM Phase alpha, article, April 14, 2008; [Menlo Park, California]. (digital.library.unt.edu/ark:/67531/metadc893810/: accessed September 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.