Bayesian probability theory to identify false coincidences in coincidence experiments

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 coi...

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Bibliographic Details
Published inEPJ Web of conferences Vol. 205; p. 9025
Main Authors Heim, Pascal, Rumetshofer, Michael, Thaler, Bernhard, Ernst, Wolfgang E., von der Linden, Wolfgang, Koch, Markus
Format Journal Article Conference Proceeding
LanguageEnglish
Published Les Ulis EDP Sciences 2019
Subjects
Bayesian analysis
Photoelectrons
Photoionization
Probability theory
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ISSN2100-014X
2101-6275
2100-014X
DOI10.1051/epjconf/201920509025

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Summary: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/.
Bibliography:ObjectType-Conference Proceeding-1
SourceType-Conference Papers & Proceedings-1
content type line 21
ISSN:2100-014X
2101-6275
2100-014X
DOI:10.1051/epjconf/201920509025