ExSample -- A Library for Sampling Sudakov-Type Distributions

Abstract

Sudakov-type distributions are at the heart of generating radiation in parton showers as well as contemporary NLO matching algorithms along the lines of the POWHEG algorithm. In this paper, the C++ library ExSample is introduced, which implements adaptive sampling of Sudakov-type distributions for splitting kernels which are in general only known numerically. Besides the evolution variable, the splitting kernels can depend on an arbitrary number of other degrees of freedom to be sampled, and any number of further parameters which are fixed on an event-by-event basis.

6 pages, 6 figures, minor changes and figures added, corresponds to published version

References in corpus (3)

• PYTHIA 6.4 Physics and Manual
• Event generation with SHERPA 1.1
• Herwig++ Physics and Manual

Cited by in corpus (11)

• Herwig 7.0 / Herwig++ 3.0 Release Note
• Dipole Showers and Automated NLO Matching in Herwig++
• Automated Parton-Shower Variations in Pythia 8
• Reweighting Parton Showers
• Color matrix element corrections for parton showers
• Matching NLO QCD with parton shower in Monte Carlo scheme - the KrkNLO method
• Parton Shower and Matching Uncertainties in Top Quark Pair Production with Herwig 7
• Parton Shower Matching Systematics in Vector-Boson-Fusion WW Production
• Resampling Algorithms for High Energy Physics Simulations
• Anomalous coupling, top-mass and parton-shower effects in $W^{+}{W}^{-}$ production
• Herwig++ 2.6 Release Note