PineAPPL: combining EW and QCD corrections for fast evaluation of LHC processes
Abstract We introduce PineAPPL, a library that produces fast-interpolation grids of physical cross sections, computed with a general-purpose Monte Carlo generator, accurate to fixed order in the strong, electroweak, and combined strong-electroweak couplings. We demonstrate this unique ability, that...
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Online Access: | https://doi.org/10.1007/JHEP12(2020)108 |
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doaj-2e185177299549e88e3e5d78ec19cb082020-12-20T12:04:23ZengSpringerOpenJournal of High Energy Physics1029-84792020-12-0120201215710.1007/JHEP12(2020)108PineAPPL: combining EW and QCD corrections for fast evaluation of LHC processesS. Carrazza0E. R. Nocera1C. Schwan2M. Zaro3Tif Lab, Dipartimento di Fisica, Università di Milano and INFN, Sezione di MilanoNikhef Theory GroupTif Lab, Dipartimento di Fisica, Università di Milano and INFN, Sezione di MilanoTif Lab, Dipartimento di Fisica, Università di Milano and INFN, Sezione di MilanoAbstract We introduce PineAPPL, a library that produces fast-interpolation grids of physical cross sections, computed with a general-purpose Monte Carlo generator, accurate to fixed order in the strong, electroweak, and combined strong-electroweak couplings. We demonstrate this unique ability, that distinguishes PineAPPL from similar software available in the literature, by interfacing it to MadGraph5_aMC@NLO. We compute fast-interpolation grids, accurate to next-to-leading order in the strong and electroweak couplings, for a representative set of LHC processes for which EW corrections may have a sizeable effect on the accuracy of the corresponding theoretical predictions. We formulate a recommendation on the format of the experimental deliverables in order to consistently compare them with computations that incorporate EW corrections, and specifically to determine parton distribution functions to the same accuracy.https://doi.org/10.1007/JHEP12(2020)108NLO ComputationsQCD Phenomenology |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
S. Carrazza E. R. Nocera C. Schwan M. Zaro |
spellingShingle |
S. Carrazza E. R. Nocera C. Schwan M. Zaro PineAPPL: combining EW and QCD corrections for fast evaluation of LHC processes Journal of High Energy Physics NLO Computations QCD Phenomenology |
author_facet |
S. Carrazza E. R. Nocera C. Schwan M. Zaro |
author_sort |
S. Carrazza |
title |
PineAPPL: combining EW and QCD corrections for fast evaluation of LHC processes |
title_short |
PineAPPL: combining EW and QCD corrections for fast evaluation of LHC processes |
title_full |
PineAPPL: combining EW and QCD corrections for fast evaluation of LHC processes |
title_fullStr |
PineAPPL: combining EW and QCD corrections for fast evaluation of LHC processes |
title_full_unstemmed |
PineAPPL: combining EW and QCD corrections for fast evaluation of LHC processes |
title_sort |
pineappl: combining ew and qcd corrections for fast evaluation of lhc processes |
publisher |
SpringerOpen |
series |
Journal of High Energy Physics |
issn |
1029-8479 |
publishDate |
2020-12-01 |
description |
Abstract We introduce PineAPPL, a library that produces fast-interpolation grids of physical cross sections, computed with a general-purpose Monte Carlo generator, accurate to fixed order in the strong, electroweak, and combined strong-electroweak couplings. We demonstrate this unique ability, that distinguishes PineAPPL from similar software available in the literature, by interfacing it to MadGraph5_aMC@NLO. We compute fast-interpolation grids, accurate to next-to-leading order in the strong and electroweak couplings, for a representative set of LHC processes for which EW corrections may have a sizeable effect on the accuracy of the corresponding theoretical predictions. We formulate a recommendation on the format of the experimental deliverables in order to consistently compare them with computations that incorporate EW corrections, and specifically to determine parton distribution functions to the same accuracy. |
topic |
NLO Computations QCD Phenomenology |
url |
https://doi.org/10.1007/JHEP12(2020)108 |
work_keys_str_mv |
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1724377143774806016 |