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

The HSF Physics Event Generator WG, 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

2021Computing and Software for Big Science75 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Large Hadron ColliderMonte Carlo methodEvent (particle physics)Event generatorSoftwareGenerator (circuit theory)Computer sciencePhysicsParticle physicsEvent dataSystems engineeringParticle Detector Development and PerformanceParticle physics theoretical and experimental studiesDistributed and Parallel Computing Systems
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