# Optimized event generator for strong-field QED simulations within the   hi-$\chi$ framework

**Authors:** Valentin Volokitin, Joel Magnusson, Aleksei Bashinov, Evgeny Efimenko,, Alexander Muraviev, Iosif Meyerov

arXiv: 2303.00648 · 2023-11-09

## TL;DR

This paper introduces an optimized event generator for strong-field QED simulations that significantly reduces computational costs by minimizing rate calculations, enhancing performance over previous methods within the hi-$hi$ framework.

## Contribution

It presents a novel method that minimizes rate computations per QED event, boosting simulation efficiency by over tenfold within an open-source Python toolkit.

## Key findings

- Performance improved by more than an order of magnitude.
- Method reduces computational resource requirements.
- Open-source implementation available for collaborative use.

## Abstract

Probabilistic generation of photons and electron-positron pairs due to the processes of strong-field quantum electrodynamics (SFQED) is often the most resource-intensive part of the kinetic simulations required in order to model current and future experimental studies at high-intensity laser facilities. To reduce its computational demands one can exploit tabulation of the precomputed rates, time-step sub-cycling, dynamic down-sampling of particle/photon ensembles and other approaches. As the culmination of previous improvements, the method described here provides the opportunity to make the minimal possible number of rate computations per QED event and, therefore, this method can increase performance by more than an order of magnitude. The computational routine is publicly available as a part of the open-source framework hi-$\chi$ designed as a Python-controlled toolbox for collaborative development.

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/2303.00648/full.md

## Figures

19 figures with captions in the complete paper: https://tomesphere.com/paper/2303.00648/full.md

## References

54 references — full list in the complete paper: https://tomesphere.com/paper/2303.00648/full.md

---
Source: https://tomesphere.com/paper/2303.00648