ExSample -- A Library for Sampling Sudakov-Type Distributions
High Energy Physics - Phenomenology
2015-05-30 v2 Data Analysis, Statistics and Probability
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.
Cite
@article{arxiv.1108.6182,
title = {ExSample -- A Library for Sampling Sudakov-Type Distributions},
author = {Simon Platzer},
journal= {arXiv preprint arXiv:1108.6182},
year = {2015}
}
Comments
6 pages, 6 figures, minor changes and figures added, corresponds to published version