We present a new multi-channel integration method and its implementation in
the multi-purpose event generator MadEvent, which is based on MadGraph. Given a
process, MadGraph automatically identifies all the relevant subprocesses,
generates both the amplitudes and the mappings needed for an efficient
integration over the phase space, and passes them to MadEvent. As a result, a
process-specific, stand-alone code is produced that allows the user to
calculate cross sections and produce unweighted events in a standard output
format. Several examples are given for processes that are relevant for physics
studies at present and forthcoming colliders.
%0 Journal Article
%1 Maltoni2002MadEvent
%A Maltoni, Fabio
%A Stelzer, Tim
%D 2002
%K event
%T MadEvent: Automatic Event Generation with MadGraph
%U http://arxiv.org/abs/hep-ph/0208156
%X We present a new multi-channel integration method and its implementation in
the multi-purpose event generator MadEvent, which is based on MadGraph. Given a
process, MadGraph automatically identifies all the relevant subprocesses,
generates both the amplitudes and the mappings needed for an efficient
integration over the phase space, and passes them to MadEvent. As a result, a
process-specific, stand-alone code is produced that allows the user to
calculate cross sections and produce unweighted events in a standard output
format. Several examples are given for processes that are relevant for physics
studies at present and forthcoming colliders.
@article{Maltoni2002MadEvent,
abstract = {{We present a new multi-channel integration method and its implementation in
the multi-purpose event generator MadEvent, which is based on MadGraph. Given a
process, MadGraph automatically identifies all the relevant subprocesses,
generates both the amplitudes and the mappings needed for an efficient
integration over the phase space, and passes them to MadEvent. As a result, a
process-specific, stand-alone code is produced that allows the user to
calculate cross sections and produce unweighted events in a standard output
format. Several examples are given for processes that are relevant for physics
studies at present and forthcoming colliders.}},
added-at = {2019-02-23T22:09:48.000+0100},
archiveprefix = {arXiv},
author = {Maltoni, Fabio and Stelzer, Tim},
biburl = {https://www.bibsonomy.org/bibtex/2eefd6c6d2630bb8cd756cd6fc66cbca1/cmcneile},
citeulike-article-id = {567795},
citeulike-linkout-0 = {http://arxiv.org/abs/hep-ph/0208156},
citeulike-linkout-1 = {http://arxiv.org/pdf/hep-ph/0208156},
day = 15,
eprint = {hep-ph/0208156},
interhash = {4e93e05681d663982dff0c606961108b},
intrahash = {eefd6c6d2630bb8cd756cd6fc66cbca1},
keywords = {event},
month = aug,
posted-at = {2009-09-20 10:13:23},
priority = {2},
timestamp = {2019-02-23T22:15:27.000+0100},
title = {{MadEvent: Automatic Event Generation with MadGraph}},
url = {http://arxiv.org/abs/hep-ph/0208156},
year = 2002
}