Bayesian probability theory to identify false coincidences in coincidence experiments

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

doi:10.1051/epjconf/201920509025

EPJ Web of Conferences (Jan 2019)

Bayesian probability theory to identify false coincidences in coincidence experiments

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

Affiliations

Heim Pascal: Graz University of Technology, Inst. of Experimental Physics
Rumetshofer Michael: Graz University of Technology, Inst. of Theoretical and Computational Physics
Thaler Bernhard: Graz University of Technology, Inst. of Experimental Physics
Ernst Wolfgang E.: Graz University of Technology, Inst. of Experimental Physics
von der Linden Wolfgang: Graz University of Technology, Inst. of Theoretical and Computational Physics
Koch Markus: Graz University of Technology, Inst. of Experimental Physics

DOI: https://doi.org/10.1051/epjconf/201920509025
Journal volume & issue: Vol. 205
p. 09025

Abstract

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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/.

Published in EPJ Web of Conferences

ISSN: 2100-014X (Online)
Publisher: EDP Sciences
Country of publisher: France
LCC subjects: Science: Physics
Website: http://www.epj-conferences.org/

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