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

Valassi, Andrea; Yazgan, Efe; McFayden, Josh; Amoroso, Simone; Bendavid, Joshua; Buckley, Andy; Cacciari, Matteo; Childers, Taylor; Ciulli, Vitaliano; Frederix, Rikkert; Frixione, Stefano; Giuli, Francesco; Grohsjean, Alexander; Gütschow, Christian; Höche, Stefan; Hopkins, Walter; Ilten, Philip; Konstantinov, Dmitri; Krauss, Frank; Li, Qiang; Lönnblad, Leif; Maltoni, Fabio; Mangano, Michelangelo; Marshall, Zach; Mattelaer, Olivier; Fernandez Menendez, Javier; Mrenna, Stephen; Muralidharan, Servesh; Neumann, Tobias; Plätzer, Simon; Prestel, Stefan; Roiser, Stefan; Schönherr, Marek; Schulz, Holger; Schulz, Markus; Sexton-Kennedy, Elizabeth; Siegert, Frank; Siódmok, Andrzej; Stewart, Graeme A.

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.

Citation

Valassi, A., Yazgan, E., McFayden, J., Amoroso, S., Bendavid, J., Buckley, A., …Stewart, G. A. (2021). Challenges in Monte Carlo Event Generator Software for High-Luminosity LHC. Computing and Software for Big Science, 5(1), Article 12. https://doi.org/10.1007/s41781-021-00055-1

• Journal Article Type: Article
• Acceptance Date: Mar 2, 2021
• Online Publication Date: May 22, 2021
• Publication Date: 2021-12
• Deposit Date: Nov 11, 2021
• Publicly Available Date: Nov 11, 2021
• Journal: Computing and Software for Big Science
• Print ISSN: 2510-2036
• Electronic ISSN: 2510-2044
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 5
• Issue: 1
• Article Number: 12
• DOI: https://doi.org/10.1007/s41781-021-00055-1
• Public URL: https://durham-repository.worktribe.com/output/1225137