Design of a toy Monte Carlo model to predict experimental precision on flow measurement

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The study of the azimuthal anisotropy of final-state particle distribution allows a better understanding of the perfect fluid properties of the Quark-Gluon Plasma (QGP). Using a Toy Monte Carlo generator, we have measured flow coefficient (vn) as a function of the number of events, particle multipli...

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Detalles Bibliográficos
Autores principales: Maichum, Sorawich, Guilbaud, Maxime
Lenguaje:eng
Publicado: 2018
Materias:
Nuclear Physics - Experiment
Particle Physics - Experiment
Acceso en línea:http://cds.cern.ch/record/2635470
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author Maichum, Sorawich
Guilbaud, Maxime
author_facet Maichum, Sorawich
Guilbaud, Maxime
author_sort Maichum, Sorawich
collection CERN
description The study of the azimuthal anisotropy of final-state particle distribution allows a better understanding of the perfect fluid properties of the Quark-Gluon Plasma (QGP). Using a Toy Monte Carlo generator, we have measured flow coefficient (vn) as a function of the number of events, particle multiplicity and signal strength (vn magnitude) with a 2-particle cumulant technique. This study allows to demonstrate that cumulant technique works down to small particle multiplicities and signal strength. In addition, it is a good tool to predict experimental precision as a function of number of events, particle multiplicity and signal strength
id cern-2635470
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
record_format invenio
spelling cern-26354702019-09-30T06:29:59Zhttp://cds.cern.ch/record/2635470engMaichum, SorawichGuilbaud, MaximeDesign of a toy Monte Carlo model to predict experimental precision on flow measurementNuclear Physics - ExperimentParticle Physics - ExperimentThe study of the azimuthal anisotropy of final-state particle distribution allows a better understanding of the perfect fluid properties of the Quark-Gluon Plasma (QGP). Using a Toy Monte Carlo generator, we have measured flow coefficient (vn) as a function of the number of events, particle multiplicity and signal strength (vn magnitude) with a 2-particle cumulant technique. This study allows to demonstrate that cumulant technique works down to small particle multiplicities and signal strength. In addition, it is a good tool to predict experimental precision as a function of number of events, particle multiplicity and signal strengthCERN-STUDENTS-Note-2018-059oai:cds.cern.ch:26354702018-08-23
spellingShingle Nuclear Physics - Experiment
Particle Physics - Experiment
Maichum, Sorawich
Guilbaud, Maxime
Design of a toy Monte Carlo model to predict experimental precision on flow measurement
title Design of a toy Monte Carlo model to predict experimental precision on flow measurement
title_full Design of a toy Monte Carlo model to predict experimental precision on flow measurement
title_fullStr Design of a toy Monte Carlo model to predict experimental precision on flow measurement
title_full_unstemmed Design of a toy Monte Carlo model to predict experimental precision on flow measurement
title_short Design of a toy Monte Carlo model to predict experimental precision on flow measurement
title_sort design of a toy monte carlo model to predict experimental precision on flow measurement
topic Nuclear Physics - Experiment
Particle Physics - Experiment
url http://cds.cern.ch/record/2635470
work_keys_str_mv AT maichumsorawich designofatoymontecarlomodeltopredictexperimentalprecisiononflowmeasurement
AT guilbaudmaxime designofatoymontecarlomodeltopredictexperimentalprecisiononflowmeasurement

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