Simulation of Events at the Strong-Field Regime with Bayes Theorem

A scheme to simulate events of electron and positron pairs created at the high intensity regime in according to Breit-Wheeler probabilities, is presented. This considers collisions between emitted photons by nonlinear Compton scattering and the ones from super intense laser. The mechanism to produce Breit-Wheeler pairs suggests the existence of a chain of reactions starting with nonlinear Compton scattering and ending in Breit Wheeler processes Because this, this paper has opted to apply the rule of Bayes in order to computationally simulate electron-positron pairs. In this manner, a Bayes-based algorithm is designed and tested with the information of Compton with Breit-Wheeler probabilities. The acceptance for events is essentially dictated by Bayesian conditions. In order to test the code, up to 2K events have been simulated. Results of simulation are presented.

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Publication Details

Published
2024-12-21
DOI
https://doi.org/10.1109/apace62360.2024.10877317
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
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article

Simulation of Events at the Strong-Field Regime with Bayes Theorem

Huber Nieto–Chaupis
Scientific Computing and Data Management
article

Simulation of Events at the Strong-Field Regime with Bayes Theorem

Huber Nieto–Chaupis
article en

Abstract

A scheme to simulate events of electron and positron pairs created at the high intensity regime in according to Breit-Wheeler probabilities, is presented. This considers collisions between emitted photons by nonlinear Compton scattering and the ones from super intense laser. The mechanism to produce Breit-Wheeler pairs suggests the existence of a chain of reactions starting with nonlinear Compton scattering and ending in Breit Wheeler processes Because this, this paper has opted to apply the rule of Bayes in order to computationally simulate electron-positron pairs. In this manner, a Bayes-based algorithm is designed and tested with the information of Compton with Breit-Wheeler probabilities. The acceptance for events is essentially dictated by Bayesian conditions. In order to test the code, up to 2K events have been simulated. Results of simulation are presented.

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