An introduction to Bayesian reasoning in high-energy physics, Kevin Kröninger (Uni Göttingen)
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abgelegt unter:
GK-Seminar
An introduction to Bayesian reasoning in high-energy physics
I will give an introduction to Bayesian reasoning in high-energy physics. Starting from Bayes' Theorem, the estimation of parameters and intervals (uncertainties, limits) will be discussed and typical examples will be given. These include limits on production cross-sections and masses of new particles as well as multi-dimensional fits in the interpretation of rare b-decays. The numerical issues encountered in the calculation of marginal distributions will be convered, and algorithms and tools to solve these will be introduced.
Alumni-Preis 2020