Fully Bayesian Unfolding

Details Fully Bayesian Unfolding Fully Bayesian Unfolding

2012-01-22

arxiv.org/abs/1201.4612v1

Physics

Data Analysis, Statistics and Probability

20 pages of text, followed by 40 pages of figures

Scientific paper

Bayesian inference is applied directly to the problem of unfolding. The outcome is a posterior probability density for the spectrum before smearing, defined in the multi-dimensional space of all possible spectra. Regularization consists in choosing a non-constant prior. Despite some similarity, the fully bayesian unfolding (FBU) method, presented here, should not be confused with D'Agostini's iterative method.

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