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

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arxiv 2004.13687 v4 pith:6JZR6BQX submitted 2020-04-28 hep-ph hep-exphysics.comp-ph

The HSF Physics Event Generator WG: Andrea Valassi (editor) , Efe Yazgan (editor) , Josh McFayden (editor) , Simone Amoroso , Joshua Bendavid , Andy Buckley , Matteo Cacciari , Taylor Childers
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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
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classification hep-phhep-exphysics.comp-ph
keywords eventphysicssoftwarecarlochallengescomputinggeneratorhigh-luminosity
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 3 Pith papers

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  2. Schr\"{o}dinger Generator for High-Dimensional Integration and Sampling on Quantum Many-Body States

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    A two-stage sampler (adaptive marginal map plus normalizing flow, then resampling) is proposed and shown on model nuclear densities up to D=624, though a core Jacobian equation appears sign-inconsistent.

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    CUDACPP gives MadGraph data-parallel helicity amplitudes, delivering linear SIMD CPU speed-ups and up to order-of-magnitude GPU speed-ups for high-multiplicity QCD event generation.

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