MadGraph5_aMC@NLO automates tree-level, NLO, shower-matched, and merged cross-section computations for collider processes in a unified flexible framework.
Matching parton showers to NLO computations
3 Pith papers cite this work, alongside 105 external citations. Polarity classification is still indexing.
abstract
We give a prescription for attaching parton showers to next-to-leading order (NLO) partonic jet cross sections in electron-positron annihilation. Our method effectively extends to NLO the scheme of Catani, Krauss, Kuhn, and Webber for matching between m hard jets and (m+1) hard jets. The matching between parton splitting as part of a shower and parton splitting as part of NLO matrix elements is based on the Catani-Seymour dipole subtraction method that is commonly used for removing the singularities from the NLO matrix elements.}
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hep-ph 3representative citing papers
The POWHEG method provides a general framework to interface NLO QCD computations with parton showers using Catani-Seymour and Frixione-Kunszt-Signer subtraction schemes, illustrated with e+e- hadron production and Drell-Yan processes.
A primer by six leading developers maps the full Monte Carlo chain (matrix elements, parton showers, hadronisation, detector simulation, tuning, analysis) and the computing and reproducibility issues that come with it.
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The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
MadGraph5_aMC@NLO automates tree-level, NLO, shower-matched, and merged cross-section computations for collider processes in a unified flexible framework.
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Matching NLO QCD computations with Parton Shower simulations: the POWHEG method
The POWHEG method provides a general framework to interface NLO QCD computations with parton showers using Catani-Seymour and Frixione-Kunszt-Signer subtraction schemes, illustrated with e+e- hadron production and Drell-Yan processes.
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The Monte Carlo Ecosystem in High-Energy Physics: A Primer
A primer by six leading developers maps the full Monte Carlo chain (matrix elements, parton showers, hadronisation, detector simulation, tuning, analysis) and the computing and reproducibility issues that come with it.