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; 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; The HSF Physics Event Generator WG

doi:10.1007/s41781-021-00055-1

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, 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 LiLeif 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, The HSF Physics Event Generator WG

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Article number	12
Journal	Computing and Software for Big Science
Volume	5
Issue number	1
DOIs	https://doi.org/10.1007/s41781-021-00055-1
Publication status	Published - 2021 Dec 1

Bibliographical note

Funding Information:
This work received funding from the European Union’s Horizon 2020 research and innovation programme as part of the Marie Skłodowska-Curie Innovative Training Network MCnetITN3 (grant agreement no. 722104). This research used resources of the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE–AC02–07CH11359. This work was supported by the Laboratory Directed Research and Development Program of Lawrence Berkeley National Laboratory under U.S. Department of Energy Contract No. DE-AC02-05CH11231. The work at Argonne National Laboratory was supported by the U.S. Department of Energy, Office of Science, High Energy Physics Center for Computational Excellence (HEP-CCE) program under Award Number 0000249313. F. Krauss acknowledges funding as Royal Society Wolfson Research fellow. M. Schönherr is funded by the Royal Society through a University Research Fellowship. E. Yazgan acknowledges funding from National Taiwan University grant NTU 109L104019. A. Siódmok acknowledges support from the National Science Centre, Poland Grant No. 2019/34/E/ST2/00457.

Subject classification (UKÄ)

Subatomic Physics
Accelerator Physics and Instrumentation

Free keywords

High-luminosity LHC
LHC experiments
Monte Carlo
Physics event generator
WLCG

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Valassi, A., Yazgan, E., McFayden, J., Amoroso, S., Bendavid, J., Buckley, A., Cacciari, M., Childers, T., Ciulli, V., Frederix, R., Frixione, S., Giuli, F., Grohsjean, A., Gütschow, C., Höche, S., Hopkins, W., Ilten, P., Konstantinov, D., Krauss, F., ... The HSF Physics Event Generator WG (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

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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.",

keywords = "High-luminosity LHC, LHC experiments, Monte Carlo, Physics event generator, WLCG",

author = "Andrea Valassi and Efe Yazgan and Josh McFayden and Simone Amoroso and Joshua Bendavid and Andy Buckley and Matteo Cacciari and Taylor Childers and Vitaliano Ciulli and Rikkert Frederix and Stefano Frixione and Francesco Giuli and Alexander Grohsjean and Christian G{\"u}tschow and Stefan H{\"o}che and Walter Hopkins and Philip Ilten and Dmitri Konstantinov and Frank Krauss and Qiang Li and Leif L{\"o}nnblad and Fabio Maltoni and Michelangelo Mangano and Zach Marshall and Olivier Mattelaer and {Fernandez Menendez}, Javier and Stephen Mrenna and Servesh Muralidharan and Tobias Neumann and Simon Pl{\"a}tzer and Stefan Prestel and Stefan Roiser and Marek Sch{\"o}nherr and Holger Schulz and Markus Schulz and Elizabeth Sexton-Kennedy and Frank Siegert and Andrzej Si{\'o}dmok and Stewart, {Graeme A.} and {The HSF Physics Event Generator WG}",

note = "Funding Information: This work received funding from the European Union{\textquoteright}s Horizon 2020 research and innovation programme as part of the Marie Sk{\l}odowska-Curie Innovative Training Network MCnetITN3 (grant agreement no. 722104). This research used resources of the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE–AC02–07CH11359. This work was supported by the Laboratory Directed Research and Development Program of Lawrence Berkeley National Laboratory under U.S. Department of Energy Contract No. DE-AC02-05CH11231. The work at Argonne National Laboratory was supported by the U.S. Department of Energy, Office of Science, High Energy Physics Center for Computational Excellence (HEP-CCE) program under Award Number 0000249313. F. Krauss acknowledges funding as Royal Society Wolfson Research fellow. M. Sch{\"o}nherr is funded by the Royal Society through a University Research Fellowship. E. Yazgan acknowledges funding from National Taiwan University grant NTU 109L104019. A. Si{\'o}dmok acknowledges support from the National Science Centre, Poland Grant No. 2019/34/E/ST2/00457.",

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doi = "10.1007/s41781-021-00055-1",

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Valassi, A, Yazgan, E, McFayden, J, Amoroso, S, Bendavid, J, Buckley, A, Cacciari, M, Childers, T, Ciulli, V, Frederix, R, Frixione, S, Giuli, F, Grohsjean, A, Gütschow, C, Höche, S, Hopkins, W, Ilten, P, Konstantinov, D, Krauss, F, Li, Q, Lönnblad, L, Maltoni, F, Mangano, M, Marshall, Z, Mattelaer, O, Fernandez Menendez, J, Mrenna, S, Muralidharan, S, Neumann, T, Plätzer, S, Prestel, S, Roiser, S, Schönherr, M, Schulz, H, Schulz, M, Sexton-Kennedy, E, Siegert, F, Siódmok, A, Stewart, GA & The HSF Physics Event Generator WG 2021, 'Challenges in Monte Carlo Event Generator Software for High-Luminosity LHC', Computing and Software for Big Science, vol. 5, no. 1, 12. https://doi.org/10.1007/s41781-021-00055-1

TY - JOUR

T1 - Challenges in Monte Carlo Event Generator Software for High-Luminosity LHC

AU - Valassi, Andrea

AU - Yazgan, Efe

AU - McFayden, Josh

AU - Amoroso, Simone

AU - Bendavid, Joshua

AU - Buckley, Andy

AU - Cacciari, Matteo

AU - Childers, Taylor

AU - Ciulli, Vitaliano

AU - Frederix, Rikkert

AU - Frixione, Stefano

AU - Giuli, Francesco

AU - Grohsjean, Alexander

AU - Gütschow, Christian

AU - Höche, Stefan

AU - Hopkins, Walter

AU - Ilten, Philip

AU - Konstantinov, Dmitri

AU - Krauss, Frank

AU - Li, Qiang

AU - Lönnblad, Leif

AU - Maltoni, Fabio

AU - Mangano, Michelangelo

AU - Marshall, Zach

AU - Mattelaer, Olivier

AU - Fernandez Menendez, Javier

AU - Mrenna, Stephen

AU - Muralidharan, Servesh

AU - Neumann, Tobias

AU - Plätzer, Simon

AU - Prestel, Stefan

AU - Roiser, Stefan

AU - Schönherr, Marek

AU - Schulz, Holger

AU - Schulz, Markus

AU - Sexton-Kennedy, Elizabeth

AU - Siegert, Frank

AU - Siódmok, Andrzej

AU - Stewart, Graeme A.

AU - The HSF Physics Event Generator WG

N1 - Funding Information: This work received funding from the European Union’s Horizon 2020 research and innovation programme as part of the Marie Skłodowska-Curie Innovative Training Network MCnetITN3 (grant agreement no. 722104). This research used resources of the Fermi National Accelerator Laboratory (Fermilab), a U.S. Department of Energy, Office of Science, HEP User Facility. Fermilab is managed by Fermi Research Alliance, LLC (FRA), acting under Contract No. DE–AC02–07CH11359. This work was supported by the Laboratory Directed Research and Development Program of Lawrence Berkeley National Laboratory under U.S. Department of Energy Contract No. DE-AC02-05CH11231. The work at Argonne National Laboratory was supported by the U.S. Department of Energy, Office of Science, High Energy Physics Center for Computational Excellence (HEP-CCE) program under Award Number 0000249313. F. Krauss acknowledges funding as Royal Society Wolfson Research fellow. M. Schönherr is funded by the Royal Society through a University Research Fellowship. E. Yazgan acknowledges funding from National Taiwan University grant NTU 109L104019. A. Siódmok acknowledges support from the National Science Centre, Poland Grant No. 2019/34/E/ST2/00457.

PY - 2021/12/1

Y1 - 2021/12/1

N2 - 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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KW - High-luminosity LHC

KW - LHC experiments

KW - Monte Carlo

KW - Physics event generator

KW - WLCG

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U2 - 10.1007/s41781-021-00055-1

DO - 10.1007/s41781-021-00055-1

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VL - 5

JO - Computing and Software for Big Science

JF - Computing and Software for Big Science

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M1 - 12

ER -

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

Abstract

Bibliographical note

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Free keywords

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