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

Andrea Valassi , Efe Yazgan , Josh Mcfayden , Simone Amoroso , Joshua Bendavid , Andy Buckley , Matteo Cacciari (1) , 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

1 LPTHE - Laboratoire de Physique Théorique et Hautes Energies

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.

Mots clés: Monte Carlo; Physics event generator; LHC experiments; WLCG; High-luminosity LHC; CERN LHC Coll: upgrade; luminosity: high; programming: Monte Carlo; numerical calculations

Domaines: Physique des Hautes Energies - Phénoménologie [hep-ph]; Physique des Hautes Energies - Expérience [hep-ex]; Informatique [cs]

Andrea Valassi, Efe Yazgan, Josh Mcfayden, Simone Amoroso, Joshua Bendavid, et al.. Challenges in Monte Carlo Event Generator Software for High-Luminosity LHC. Computing and Software for Big Science, 2021, 5 (1), pp.12. ⟨10.1007/s41781-021-00055-1⟩. ⟨hal-02614341⟩