Neural refinement of Monte Carlo sample weights via phase-space scaling and a new resampling protocol that maintains averages and uncertainties.
A general approach to jet cross sections in QCD
4 Pith papers cite this work. Polarity classification is still indexing.
abstract
I illustrate a general formalism based upon the subtraction method for the calculation of next-to-leading order QCD cross sections for any number of jets in any type of hard collisions. I discuss the implementation of this formalism in a numerical program which generates partonic kinematical configurations with an appropriate weight, thus allowing the definition of arbitrary jet algorithms and cuts matching the experimental setup at the last step of the computation. I present results obtained with computer codes which calculate one-jet and two-jet inclusive quantities in photon-hadron and hadron-hadron collisions.
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citation-polarity summary
fields
hep-ph 4roles
method 3polarities
use method 3representative citing papers
MadGraph5_aMC@NLO automates tree-level, NLO, shower-matched, and merged cross-section computations for collider processes in a unified flexible framework.
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.
The POWHEG BOX provides a general computer code framework for implementing NLO calculations in shower Monte Carlo programs according to the POWHEG method.
citing papers explorer
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Stay Positive: Neural Refinement of Sample Weights
Neural refinement of Monte Carlo sample weights via phase-space scaling and a new resampling protocol that maintains averages and uncertainties.
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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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A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX
The POWHEG BOX provides a general computer code framework for implementing NLO calculations in shower Monte Carlo programs according to the POWHEG method.