Monte Carlo methods for TMD analyses

Monte Carlo simulations are an indispensable tool in experimental high-energy physics. Indeed, many discoveries rely on realistic modeling of background processes. In the field of transverse-momentum-dependent parton distribution and fragmentation functions there is a clear lack of a reliable Mont...

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Main Author: Schnell Gunar
Format: Article
Language:English
Published: EDP Sciences 2015-01-01
Series:EPJ Web of Conferences
Online Access:http://dx.doi.org/10.1051/epjconf/20158502024
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spelling doaj-cd66bc822d5f4d9b9d8f5a657a11fab42021-08-02T09:19:57ZengEDP SciencesEPJ Web of Conferences2100-014X2015-01-01850202410.1051/epjconf/20158502024epjconf_tv2014_02024Monte Carlo methods for TMD analysesSchnell Gunar Monte Carlo simulations are an indispensable tool in experimental high-energy physics. Indeed, many discoveries rely on realistic modeling of background processes. In the field of transverse-momentum-dependent parton distribution and fragmentation functions there is a clear lack of a reliable Monte Carlo physics generator that can be used in experimental and phenomenological analyses. The need for such Monte Carlo generators, the status of some solutions and prospects are discussed. http://dx.doi.org/10.1051/epjconf/20158502024
collection DOAJ
language English
format Article
sources DOAJ
author Schnell Gunar
spellingShingle Schnell Gunar
Monte Carlo methods for TMD analyses
EPJ Web of Conferences
author_facet Schnell Gunar
author_sort Schnell Gunar
title Monte Carlo methods for TMD analyses
title_short Monte Carlo methods for TMD analyses
title_full Monte Carlo methods for TMD analyses
title_fullStr Monte Carlo methods for TMD analyses
title_full_unstemmed Monte Carlo methods for TMD analyses
title_sort monte carlo methods for tmd analyses
publisher EDP Sciences
series EPJ Web of Conferences
issn 2100-014X
publishDate 2015-01-01
description Monte Carlo simulations are an indispensable tool in experimental high-energy physics. Indeed, many discoveries rely on realistic modeling of background processes. In the field of transverse-momentum-dependent parton distribution and fragmentation functions there is a clear lack of a reliable Monte Carlo physics generator that can be used in experimental and phenomenological analyses. The need for such Monte Carlo generators, the status of some solutions and prospects are discussed.
url http://dx.doi.org/10.1051/epjconf/20158502024
work_keys_str_mv AT schnellgunar montecarlomethodsfortmdanalyses
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