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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/.
Highlights
Coincidence experiments are widely spread and powerful spectroscopic techniques
At higher ionization rates the measured photoelectron-photoion coincidence (PEPICO) spectrum is obscured by false coincidences, so that the true spectrum cannot be obtained by the conventional PEPICO method [5]
While the Bayesian formalism was presented recently in detail [1], we here focus on the role of false coincidences by distinguishing between homo- and heteromolecular false coincidences and analyse their spectral distribution and how they distort the PEPICO spectrum
Summary
Coincidence experiments are widely spread and powerful spectroscopic techniques. Recently we applied photoelectron-photoion coincidence (PEPICO) detection to femtosecond photoionization experiments [2]. We applied photoelectron-photoion coincidence (PEPICO) detection to femtosecond photoionization experiments [2].
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