On the maximal use of Monte Carlo samples: re-weighting events at NLO accuracy

Accurate Monte Carlo simulations for high-energy events at CERN’s Large Hadron Collider, are very expensive, both from the computing and storage points of view. We describe a method that allows to consistently re-use parton-level samples accurate up to NLO in QCD under different theoretical hypothes...

Descripción completa

Detalles Bibliográficos
Autor principal: Mattelaer, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Special Article - Tools for Experiment and Theory
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335618/
https://www.ncbi.nlm.nih.gov/pubmed/28316502
http://dx.doi.org/10.1140/epjc/s10052-016-4533-7
_version_ 1782512076722274304
author Mattelaer, Olivier
author_facet Mattelaer, Olivier
author_sort Mattelaer, Olivier
collection PubMed
description Accurate Monte Carlo simulations for high-energy events at CERN’s Large Hadron Collider, are very expensive, both from the computing and storage points of view. We describe a method that allows to consistently re-use parton-level samples accurate up to NLO in QCD under different theoretical hypotheses. We implement it in MadGraph5_aMC@NLO and show its validation by applying it to several cases of practical interest for the search of new physics at the LHC.
format Online
Article
Text
id pubmed-5335618
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Springer Berlin Heidelberg
record_format MEDLINE/PubMed
spelling pubmed-53356182017-03-16 On the maximal use of Monte Carlo samples: re-weighting events at NLO accuracy Mattelaer, Olivier Eur Phys J C Part Fields Special Article - Tools for Experiment and Theory Accurate Monte Carlo simulations for high-energy events at CERN’s Large Hadron Collider, are very expensive, both from the computing and storage points of view. We describe a method that allows to consistently re-use parton-level samples accurate up to NLO in QCD under different theoretical hypotheses. We implement it in MadGraph5_aMC@NLO and show its validation by applying it to several cases of practical interest for the search of new physics at the LHC. Springer Berlin Heidelberg 2016-12-05 2016 /pmc/articles/PMC5335618/ /pubmed/28316502 http://dx.doi.org/10.1140/epjc/s10052-016-4533-7 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Funded by SCOAP3.
spellingShingle Special Article - Tools for Experiment and Theory
Mattelaer, Olivier
On the maximal use of Monte Carlo samples: re-weighting events at NLO accuracy
title On the maximal use of Monte Carlo samples: re-weighting events at NLO accuracy
title_full On the maximal use of Monte Carlo samples: re-weighting events at NLO accuracy
title_fullStr On the maximal use of Monte Carlo samples: re-weighting events at NLO accuracy
title_full_unstemmed On the maximal use of Monte Carlo samples: re-weighting events at NLO accuracy
title_short On the maximal use of Monte Carlo samples: re-weighting events at NLO accuracy
title_sort on the maximal use of monte carlo samples: re-weighting events at nlo accuracy
topic Special Article - Tools for Experiment and Theory
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5335618/
https://www.ncbi.nlm.nih.gov/pubmed/28316502
http://dx.doi.org/10.1140/epjc/s10052-016-4533-7
work_keys_str_mv AT mattelaerolivier onthemaximaluseofmontecarlosamplesreweightingeventsatnloaccuracy

Ejemplares similares