The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations

Автоматизированный расчёт дифференциальных сечений на дереве и в следующем к ведущему порядке и их стыковка с моделями партонного шауэра
Johan Alwall, Stefano Frixione, Fabio Maltoni, Rikkert Frederix, Valentin Hirschi, Olivier Mattelaer, Hua-Sheng Shao, T. Stelzer, Paolo Torrielli, Marco Zaro
2014-07-01

MadGraph5_aMC@NLOmatching to parton shower simulationsmerging of matched samplesnext-to-leading order (NLO) cross sectionstree-level cross sections
We discuss the theoretical bases that underpin the automation of the computations of tree-level and next-to-leading order cross sections, of their matching to parton shower simulations, and of the merging of matched samples that differ by light-parton multiplicities. We present a computer program, MadGraph5 aMC@NLO, capable of handling all these computations — parton-level fixed order, shower-matched, merged — in a unified framework whose defining features are flexibility, high level of parallelisation, and human intervention limited to input physics quantities. We demonstrate the potential of the program by presenting selected phenomenological applications relevant to the LHC and to a 1-TeV e + e − collider. While next-to-leading order results are restricted to QCD corrections to SM processes in the first public version, we show that from the user viewpoint no changes have to be expected in the case of corrections due to any given renormalisable Lagrangian, and that the implementation of these are well under way.
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MadGraph5_aMC@NLO automates computations of tree-level and next-to-leading order (NLO) differential cross sections within a single framework.
2
Selected phenomenological applications demonstrate the program's potential for LHC and a 1-TeV e+e- collider studies.
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The first public version provides NLO results for QCD corrections to Standard Model processes, with user workflow unchanged for future implementations of other renormalisable Lagrangian corrections.
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The framework emphasizes flexibility, high parallelization, and minimal human intervention limited to input physics quantities.
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The program automates matching of NLO calculations to parton-shower simulations and merging of matched samples with different light-parton multiplicities.

Automation framework/program (MadGraph5_aMC@NLO) for computing tree-level and next-to-leading order differential cross sections and matching/merging them with parton-shower simulations

Automated computation and consistent matching/merging of parton-level tree and NLO differential cross sections with parton-shower simulations, including practical implementation, flexibility, parallelisation, and applicability to LHC and 1-TeV e+e− collider phenomenology

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Publication Date
2014-07-01
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Authors
Johan Alwall
Stefano Frixione
Fabio Maltoni
Rikkert Frederix
Valentin Hirschi
Olivier Mattelaer
Hua-Sheng Shao
T. Stelzer
Paolo Torrielli
Marco Zaro
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