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The Monte Carlo event generator AcerMC versions 2.0 to 3.8 with interfaces to PYTHIA 6.4, HERWIG 6.5 and ARIADNE 4.1
heavy flavour production
massive matrix elements
Monte Carlo generator
multi-channel phase-space generation
SM backgrounds at LHC
The AcerMC Monte Carlo generator is dedicated to the generation of Standard Model background processes which were recognised as critical for the searches at LHC, and generation of which was either unavailable or not straightforward so far. The program itself provides a library of the massive matrix elements (coded by MADGRAPH) and native phase space modules for generation of a set of selected processes. The hard process event can be completed by the initial and the final state radiation, hadronisation and decays through the existing interface with either PYTHIA, HERWIG or ARIADNE event generators and (optionally) TAUOLA and PHOTOS. Interfaces to all these packages are provided in the distribution version. The phase-space generation is based on the multi-channel self-optimising approach using the modified Kajantie–Byckling formalism for phase space construction and further smoothing of the phase space was obtained by using a modified ac-VEGAS algorithm. An additional improvement in the recent versions is the inclusion of the consistent prescription for matching the matrix element calculations with parton showering for a select list of processes.
cris.lastimport.scopus | 2024-05-04T01:30:20Z | |
cris.lastimport.wos | 2024-04-10T00:19:19Z | |
dc.abstract.en | The AcerMC Monte Carlo generator is dedicated to the generation of Standard Model background processes which were recognised as critical for the searches at LHC, and generation of which was either unavailable or not straightforward so far. The program itself provides a library of the massive matrix elements (coded by MADGRAPH) and native phase space modules for generation of a set of selected processes. The hard process event can be completed by the initial and the final state radiation, hadronisation and decays through the existing interface with either PYTHIA, HERWIG or ARIADNE event generators and (optionally) TAUOLA and PHOTOS. Interfaces to all these packages are provided in the distribution version. The phase-space generation is based on the multi-channel self-optimising approach using the modified Kajantie–Byckling formalism for phase space construction and further smoothing of the phase space was obtained by using a modified ac-VEGAS algorithm. An additional improvement in the recent versions is the inclusion of the consistent prescription for matching the matrix element calculations with parton showering for a select list of processes. | pl |
dc.affiliation | Wydział Fizyki, Astronomii i Informatyki Stosowanej : Instytut Fizyki im. Mariana Smoluchowskiego | pl |
dc.contributor.author | Kersevan, Borut Paul | pl |
dc.contributor.author | Richter-Wąs, Elżbieta - 131657 | pl |
dc.date.accessioned | 2016-03-21T10:22:30Z | |
dc.date.available | 2016-03-21T10:22:30Z | |
dc.date.issued | 2013 | pl |
dc.description.number | 3 | pl |
dc.description.physical | 919-985 | pl |
dc.description.publication | 4,4 | pl |
dc.description.volume | 184 | pl |
dc.identifier.doi | 10.1016/j.cpc.2012.10.032 | pl |
dc.identifier.eissn | 1879-2944 | pl |
dc.identifier.issn | 0010-4655 | pl |
dc.identifier.uri | http://ruj.uj.edu.pl/xmlui/handle/item/22696 | |
dc.language | eng | pl |
dc.language.container | eng | pl |
dc.participation | Richter-Wąs, Elżbieta: 50%; | pl |
dc.rights | Dodaję tylko opis bibliograficzny | * |
dc.rights.licence | bez licencji | |
dc.rights.uri | * | |
dc.subject.en | heavy flavour production | pl |
dc.subject.en | massive matrix elements | pl |
dc.subject.en | Monte Carlo generator | pl |
dc.subject.en | multi-channel phase-space generation | pl |
dc.subject.en | SM backgrounds at LHC | pl |
dc.subtype | Article | pl |
dc.title | The Monte Carlo event generator AcerMC versions 2.0 to 3.8 with interfaces to PYTHIA 6.4, HERWIG 6.5 and ARIADNE 4.1 | pl |
dc.title.journal | Computer Physics Communications | pl |
dc.type | JournalArticle | pl |
dspace.entity.type | Publication |