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

Hafych, Vasyl

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Thesis

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

MPS-Authors

Hafych, Vasyl
Max Planck Institute for Physics, Max Planck Society and Cooperation Partners;

External Resource

https://mediatum.ub.tum.de/1632505
(Any fulltext)

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

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

Cite as: https://hdl.handle.net/21.11116/0000-000C-B57B-E

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.