Bayesian probability theory to identify false coincidences in coincidence experiments

Pascal Heim, Michael Rumetshofer, Bernhard Thaler, Wolfgang E. Ernst, Wolfgang von der Linden, Markus Koch

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We describe a Bayesian formalism to analyse femtosecond pump-probe photoionization experiments with photoelectron-photoion coincidence (PEPICO) detection. This approach overcomes the drawback of extraordinary long data acquisition times of PEPICO detection. In extension to simply excluding false coincidences as previously [1], we here present an investigation of their influence on the underlying spectrum. The software is provided at https://github.com/fslab-tugraz/PEPICOBayes/.
Original languageEnglish
Title of host publicationUP2018 - Proceedings
PublisherEPJ Web of Conferences
Number of pages3
Volume205
DOIs
Publication statusPublished - Apr 2019
EventXXI International Conference on Ultrafast Phenomena - Hamburg, Germany
Duration: 15 Jul 201821 Jul 2018
Conference number: 21

Conference

ConferenceXXI International Conference on Ultrafast Phenomena
Abbreviated titleUP2018
CountryGermany
CityHamburg
Period15/07/1821/07/18

Fields of Expertise

  • Advanced Materials Science

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