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Prediction for Minimum Bias and the Underlying Event at LHC Energies 010

In this report we investigate the models employed by PYTHIA and PHOJET Monte Carlo event generators used to describe soft interactions in hadron-hadron collisions. The prime aim of this study is to predict minimum bias and underlying event levels of particle production and event activity for the LHC...

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Detalles Bibliográficos
Autores principales: Moraes, A, Buttar, C, Dawson, I
Lenguaje:eng
Publicado: 2005
Materias:
Acceso en línea:http://cds.cern.ch/record/827339
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author Moraes, A
Buttar, C
Dawson, I
author_facet Moraes, A
Buttar, C
Dawson, I
author_sort Moraes, A
collection CERN
description In this report we investigate the models employed by PYTHIA and PHOJET Monte Carlo event generators used to describe soft interactions in hadron-hadron collisions. The prime aim of this study is to predict minimum bias and underlying event levels of particle production and event activity for the LHC as accurately as these models allow us, thus providing indispensable information for simulations. Focusing on a wide range of measurements dominated by soft interactions in proton-proton and proton-anti-proton collisions, one of the aims of this study is to check the consistency of these models when compared to data and evaluate how efficient their descriptions of low-pT processes are. Based on comparisons to a wide range of minimum bias and underlying event data we present a tuning for PYTHIA6.214 and compare it to other PYTHIA tunings.
id cern-827339
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2005
record_format invenio
spelling cern-8273392021-04-18T19:39:50Zhttp://cds.cern.ch/record/827339engMoraes, AButtar, CDawson, IPrediction for Minimum Bias and the Underlying Event at LHC Energies 010Detectors and Experimental TechniquesIn this report we investigate the models employed by PYTHIA and PHOJET Monte Carlo event generators used to describe soft interactions in hadron-hadron collisions. The prime aim of this study is to predict minimum bias and underlying event levels of particle production and event activity for the LHC as accurately as these models allow us, thus providing indispensable information for simulations. Focusing on a wide range of measurements dominated by soft interactions in proton-proton and proton-anti-proton collisions, one of the aims of this study is to check the consistency of these models when compared to data and evaluate how efficient their descriptions of low-pT processes are. Based on comparisons to a wide range of minimum bias and underlying event data we present a tuning for PYTHIA6.214 and compare it to other PYTHIA tunings.ATL-PHYS-PUB-2005-007ATL-COM-PHYS-2005-010oai:cds.cern.ch:8273392005
spellingShingle Detectors and Experimental Techniques
Moraes, A
Buttar, C
Dawson, I
Prediction for Minimum Bias and the Underlying Event at LHC Energies 010
title Prediction for Minimum Bias and the Underlying Event at LHC Energies 010
title_full Prediction for Minimum Bias and the Underlying Event at LHC Energies 010
title_fullStr Prediction for Minimum Bias and the Underlying Event at LHC Energies 010
title_full_unstemmed Prediction for Minimum Bias and the Underlying Event at LHC Energies 010
title_short Prediction for Minimum Bias and the Underlying Event at LHC Energies 010
title_sort prediction for minimum bias and the underlying event at lhc energies 010
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/827339
work_keys_str_mv AT moraesa predictionforminimumbiasandtheunderlyingeventatlhcenergies010
AT buttarc predictionforminimumbiasandtheunderlyingeventatlhcenergies010
AT dawsoni predictionforminimumbiasandtheunderlyingeventatlhcenergies010