Event generation in Julia


Event generation in Julia

Hernandez Acosta, U.

Abstract

The accurate modelling of laser-matter interaction is a very challenging task. Especially, the generation of scattering events to mimic statistical particle distributions seen in experiments have demanding requirements on the computational methods and implementations. With this talk, we introduce the complicated structure of strong-field QED and formulate the fundamental building blocks for Monte-Carlo event generation using this theory, where a key feature is the dynamical coupling of the laser field to the scattering processes. This type of coupling can not be addressed with state-of-the-art event generators used to model processes from the standard model of particle physics. Therefore, we introduce a new implementation of e Monte-Carlo event generator, written in the Julia programming language. Furthermore, we introduce some key language features of Julia, which may come in handy for implementations of future event generators in general, where especially the capabilities of distributed computing will be highlighted.

Keywords: Laser-Matter interaction; Event generation; Julia programming language

  • Eingeladener Vortrag (Konferenzbeitrag) (Online Präsentation)
    HSF Physics Generator WG meeting, 07.07.2022, virtuell, virtuell

Permalink: https://www.hzdr.de/publications/Publ-36054