Bayesian probability theory to identify false coincidences in coincidence experiments

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

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/.
Originalspracheenglisch
TitelUP2018 - Proceedings
Herausgeber (Verlag)EPJ Web of Conferences
Seitenumfang3
Band205
DOIs
PublikationsstatusVeröffentlicht - Apr 2019
VeranstaltungXXI International Conference on Ultrafast Phenomena - Hamburg, Deutschland
Dauer: 15 Jul 201821 Jul 2018
Konferenznummer: 21

Konferenz

KonferenzXXI International Conference on Ultrafast Phenomena
KurztitelUP2018
LandDeutschland
OrtHamburg
Zeitraum15/07/1821/07/18

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photoelectrons
data acquisition
photoionization
pumps
formalism
computer programs
probes

Fields of Expertise

  • Advanced Materials Science

Dies zitieren

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.

UP2018 - Proceedings. Band 205 EPJ Web of Conferences , 2019.

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

Heim, P, Rumetshofer, M, Thaler, B, Ernst, WE, von der Linden, W & Koch, M 2019, Bayesian probability theory to identify false coincidences in coincidence experiments. in UP2018 - Proceedings. Bd. 205, EPJ Web of Conferences , XXI International Conference on Ultrafast Phenomena, Hamburg, Deutschland, 15/07/18. https://doi.org/10.1051/epjconf/201920509025
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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/.",
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AU - Thaler, Bernhard

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AU - von der Linden, Wolfgang

AU - Koch, Markus

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AB - 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/.

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