MCNNTUNES: Tuning Shower Monte Carlo generators with machine learning

Lazzarin, Marco; Alioli, Simone; Carrazza, Stefano

doi:10.1016/j.cpc.2021.107908

MCNNTUNES: Tuning Shower Monte Carlo generators with machine learning

Journal Article · Tue Jun 01 00:00:00 EDT 2021 · Computer Physics Communications

DOI:https://doi.org/10.1016/j.cpc.2021.107908· OSTI ID:1815196

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Sponsoring Organization:: USDOE

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1815196

Journal Information:: Computer Physics Communications, Journal Name: Computer Physics Communications Journal Issue: C Vol. 263; ISSN 0010-4655

Publisher:: ElsevierCopyright Statement

Country of Publication:: Netherlands

Language:: English

References (6)

Interleaved parton showers and tuning prospects Corke, Richard; Sjöstrand, Torbjörn Journal of High Energy Physics, Vol. 2011, Issue 3 https://doi.org/10.1007/JHEP03(2011)032	journal	March 2011
Approximation capabilities of multilayer feedforward networks Hornik, Kurt Neural Networks, Vol. 4, Issue 2 https://doi.org/10.1016/0893-6080(91)90009-T	journal	January 1991
Multilayer feedforward networks with a nonpolynomial activation function can approximate any function Leshno, Moshe; Lin, Vladimir Ya.; Pinkus, Allan Neural Networks, Vol. 6, Issue 6 https://doi.org/10.1016/S0893-6080(05)80131-5	journal	January 1993
Rivet user manual Buckley, Andy; Butterworth, Jonathan; Grellscheid, David Computer Physics Communications, Vol. 184, Issue 12 https://doi.org/10.1016/j.cpc.2013.05.021	journal	December 2013
An introduction to PYTHIA 8.2 Sjöstrand, Torbjörn; Ask, Stefan; Christiansen, Jesper R. Computer Physics Communications, Vol. 191 https://doi.org/10.1016/j.cpc.2015.01.024	journal	June 2015
Systematic event generator tuning for the LHC Buckley, Andy; Hoeth, Hendrik; Lacker, Heiko The European Physical Journal C, Vol. 65, Issue 1-2 https://doi.org/10.1140/epjc/s10052-009-1196-7	journal	November 2009

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MCNNTUNES: Tuning Shower Monte Carlo generators with machine learning

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