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Event generation with Sherpa 2.2

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Other literature type 18 Sep 2019Embargo end date: 01 Jan 2019 Italy, United Kingdom, France, Germany Publisher:Stichting SciPostJournal:SciPost Physics, volume 7 (eissn: 2542-4653, Copyright policy )Funded by:DFG | unidentified, EC | MCnetITN3, ANR | OptimalJets
Authors: Bothmann, Enrico; Singh Chahal, Gurpreet; Höche, Stefan; Krause, Johannes; Krauss, Frank; Kuttimalai, Silvan; Liebschner, Sebastian; +5 Authors

doi: 10.21468/scipostphys.7.3.034 , 10.48550/arxiv.1905.09127

arXiv: 1905.09127

handle: 10281/274551

Event generation with Sherpa 2.2

Abstract

Sherpa is a general-purpose Monte Carlo event generator for the simulation of particle collisions in high-energy collider experiments. We summarise essential features and improvements of the Sherpa 2.2 release series, which is heavily used for event generation in the analysis and interpretation of LHC Run 1 and Run 2 data. We highlight a decade of developments towards ever higher precision in the simulation of particle-collision events.

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Italy, United Kingdom, France, Germany
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Keywords

p p: scattering, p p: cross section, [PHYS.HEXP] Physics [physics]/High Energy Physics - Experiment [hep-ex], Physics, QC1-999, FOS: Physical sciences, [INFO] Computer Science [cs], quantum chromodynamics: correction, parton: showers, High Energy Physics - Experiment, [PHYS.HPHE] Physics [physics]/High Energy Physics - Phenomenology [hep-ph], High Energy Physics - Phenomenology, High Energy Physics - Experiment (hep-ex), CERN LHC Coll, High Energy Physics - Phenomenology (hep-ph), quantum chromodynamics: perturbation theory, numerical calculations: Monte Carlo, Monte Carlo

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 481
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 0.1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
481
Top 0.1%
Top 1%
Top 0.1%
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