Bayesian probability theory to identify false coincidences in coincidence experiments
1 Graz University of Technology, Inst. of Experimental Physics, 8010 Graz, Austria
2 Graz University of Technology, Inst. of Theoretical and Computational Physics, 8010 Graz, Austria
* Corresponding author: firstname.lastname@example.org
Published online: 16 April 2019
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 , we here present an investigation of their influence on the underlying spectrum. The software is provided at https://github.com/fslab-tugraz/PEPICOBayes/.
© The Authors, published by EDP Sciences, 2019
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