Monte Carlo tuning for Multiple Parton Interactions from the ATLAS data (MPI@LHC 2016)

The modelling of Minimum Bias (MB) and Underlying Event (UE) is a crucial component in the description of soft QCD processes. They are both described by multi-parton interactions (MPI) models, the result of proton collisions containing more than one partonic interaction due to collective and beam re...

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Detalles Bibliográficos
Autor principal: Cairo, Valentina
Lenguaje:eng
Publicado: 2016
Materias:
Particle Physics - Experiment
Acceso en línea:http://cds.cern.ch/record/2238956
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author Cairo, Valentina
author_facet Cairo, Valentina
author_sort Cairo, Valentina
collection CERN
description The modelling of Minimum Bias (MB) and Underlying Event (UE) is a crucial component in the description of soft QCD processes. They are both described by multi-parton interactions (MPI) models, the result of proton collisions containing more than one partonic interaction due to collective and beam remnant effects. We present recent ATLAS studies aimed at improving the description of MPI models in Monte Carlo generators. Results of tunes of the Pythia8 MPI parameters to recent ATLAS measurements at 7, 8 and 13 TeV are reported. Studies on the effect of tuning in presence of matching with leading and next-to-leading matrix elements are also presented for processes such as jets and Z-boson production.
id cern-2238956
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
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spelling cern-22389562019-09-30T06:29:59Zhttp://cds.cern.ch/record/2238956engCairo, ValentinaMonte Carlo tuning for Multiple Parton Interactions from the ATLAS data (MPI@LHC 2016)Particle Physics - ExperimentThe modelling of Minimum Bias (MB) and Underlying Event (UE) is a crucial component in the description of soft QCD processes. They are both described by multi-parton interactions (MPI) models, the result of proton collisions containing more than one partonic interaction due to collective and beam remnant effects. We present recent ATLAS studies aimed at improving the description of MPI models in Monte Carlo generators. Results of tunes of the Pythia8 MPI parameters to recent ATLAS measurements at 7, 8 and 13 TeV are reported. Studies on the effect of tuning in presence of matching with leading and next-to-leading matrix elements are also presented for processes such as jets and Z-boson production.ATL-PHYS-SLIDE-2016-897oai:cds.cern.ch:22389562016-12-13
spellingShingle Particle Physics - Experiment
Cairo, Valentina
Monte Carlo tuning for Multiple Parton Interactions from the ATLAS data (MPI@LHC 2016)
title Monte Carlo tuning for Multiple Parton Interactions from the ATLAS data (MPI@LHC 2016)
title_full Monte Carlo tuning for Multiple Parton Interactions from the ATLAS data (MPI@LHC 2016)
title_fullStr Monte Carlo tuning for Multiple Parton Interactions from the ATLAS data (MPI@LHC 2016)
title_full_unstemmed Monte Carlo tuning for Multiple Parton Interactions from the ATLAS data (MPI@LHC 2016)
title_short Monte Carlo tuning for Multiple Parton Interactions from the ATLAS data (MPI@LHC 2016)
title_sort monte carlo tuning for multiple parton interactions from the atlas data (mpi@lhc 2016)
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2238956
work_keys_str_mv AT cairovalentina montecarlotuningformultiplepartoninteractionsfromtheatlasdatampilhc2016

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