pith. sign in

arxiv: 2004.13687 · v4 · pith:6JZR6BQXnew · submitted 2020-04-28 · ✦ hep-ph · hep-ex· physics.comp-ph

Challenges in Monte Carlo event generator software for High-Luminosity LHC

classification ✦ hep-ph hep-exphysics.comp-ph
keywords eventphysicssoftwarecarlochallengescomputinggeneratorhigh-luminosity
0
0 comments X
read the original abstract

We review the main software and computing challenges for the Monte Carlo physics event generators used by the LHC experiments, in view of the High-Luminosity LHC (HL-LHC) physics programme. This paper has been prepared by the HEP Software Foundation (HSF) Physics Event Generator Working Group as an input to the LHCC review of HL-LHC computing, which has started in May 2020.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. Monte Carlo Event Generation with Continuous Normalizing Flows

    hep-ph 2026-04 conditional novelty 6.0

    Continuous normalizing flows improve unweighting efficiency in Monte Carlo event generation for high-jet-multiplicity collider processes by factors up to 184, with wall-time gains of about ten when combined with coupl...

  2. Linac: linear algebra with CUDA over finite fields

    physics.comp-ph 2026-05 unverdicted novelty 3.0

    Linac provides a high-performance open-source CUDA implementation of Gaussian elimination over finite fields and floating-point arithmetic for analytic reconstruction of scattering amplitudes in quantum field theory.