Challenges in Monte Carlo Event Generator Software for High-Luminosity LHC

Summary, in English

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.

• Author: Andrea Valassi; Efe Yazgan; Josh McFayden; Simone Amoroso; Joshua Bendavid; Andy Buckley; Matteo Cacciari; Taylor Childers; Vitaliano Ciulli; Rikkert Frederix; Stefano Frixione; Francesco Giuli; Alexander Grohsjean; Christian Gütschow; Stefan Höche; Walter Hopkins; Philip Ilten; Dmitri Konstantinov; Frank Krauss; Qiang Li; Leif Lönnblad; Fabio Maltoni; Michelangelo Mangano; Zach Marshall; Olivier Mattelaer; Javier Fernandez Menendez; Stephen Mrenna; Servesh Muralidharan; Tobias Neumann; Simon Plätzer; Stefan Prestel; Stefan Roiser; Marek Schönherr; Holger Schulz; Markus Schulz; Elizabeth Sexton-Kennedy; Frank Siegert; Andrzej Siódmok; Graeme A. Stewart
• Department/s: Theoretical Particle Physics - Has been reorganised
• Publishing year: 2021-12-01
• Language: English
• Publication/Series: Computing and Software for Big Science
• Volume: 5
• Issue: 1
• Links: http://dx.doi.org/10.1007/s41781-021-00055-1
• Document type: Journal article
• Publisher: Springer
• Topic: Subatomic Physics; Accelerator Physics and Instrumentation
• Keywords: High-luminosity LHC; LHC experiments; Monte Carlo; Physics event generator; WLCG
• Status: Published
• ISBN/ISSN/Other: ISSN: 2510-2044