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  Development of Advanced Statistical Algorithms and Application to the AWAKE Experiment at CERN

Hafych, V. (2022). Development of Advanced Statistical Algorithms and Application to the AWAKE Experiment at CERN. PhD Thesis, TU München, München.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-B57B-E Version Permalink: https://hdl.handle.net/21.11116/0000-000C-B57C-D
Genre: Thesis

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https://mediatum.ub.tum.de/1632505 (Any fulltext)
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 Creators:
Hafych, Vasyl1, Author
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1Max Planck Institute for Physics, Max Planck Society and Cooperation Partners, ou_2253650              

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Free keywords: AWAKE
 Abstract: Analysis of the data with the help of statistical methods is a key element of modern scientific research. The first part of this thesis presents the development of two algorithms for the Bayesian evidence estimation and parallelization of Markov Chain Monte Carlo methods. The second part of this thesis presents a detailed analysis of the incoming proton bunch parameters in the AWAKE experiment at CERN using advanced statistical algorithms.

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 Dates: 2022-02-03
 Publication Status: Accepted / In Press
 Pages: -
 Publishing info: München : TU München
 Table of Contents: -
 Rev. Type: -
 Identifiers: Other: MPP-2022-297
URI: https://publications.mppmu.mpg.de/?action=search&mpi=MPP-2022-297
 Degree: PhD

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