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ATLAS Open Data – Development of a simple-but-real HEP data analysis framework

The ATLAS Collaboration is releasing a new set of recorded and simulated data samples at a centre-of-mass energy of 13 TeV. This new dataset was designed after an in-depth review of the usage of the previous release of samples at 8 TeV. That review showed that capacity-building is one of the most im...

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Autor principal: Ould-Saada, Farid
Lenguaje:eng
Publicado: 2020
Materias:
Acceso en línea:https://dx.doi.org/10.1051/epjconf/202024508023
http://cds.cern.ch/record/2709168
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author Ould-Saada, Farid
author_facet Ould-Saada, Farid
author_sort Ould-Saada, Farid
collection CERN
description The ATLAS Collaboration is releasing a new set of recorded and simulated data samples at a centre-of-mass energy of 13 TeV. This new dataset was designed after an in-depth review of the usage of the previous release of samples at 8 TeV. That review showed that capacity-building is one of the most important and abundant uses of public ATLAS samples. To fulfil the requirements of the community and at the same time attract new users and use cases, we developed real analysis software based on ROOT in two of the most popular programming languages: C++ and Python. These so-called analysis frameworks are complex enough to reproduce with reasonable accuracy the results -figures and final yields- of published ATLAS Collaboration physics papers, but still light enough to be run on commodity computers. Computers that university students and regular classrooms have, allow students to explore LHC data with similar techniques to those used by current ATLAS analysers. We present the development path and the final result of these analysis frameworks, their products and how they are distributed to final users inside and outside the ATLAS community.
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spelling cern-27091682021-03-08T20:51:50Zdoi:10.1051/epjconf/202024508023http://cds.cern.ch/record/2709168engOuld-Saada, FaridATLAS Open Data – Development of a simple-but-real HEP data analysis frameworkParticle Physics - ExperimentThe ATLAS Collaboration is releasing a new set of recorded and simulated data samples at a centre-of-mass energy of 13 TeV. This new dataset was designed after an in-depth review of the usage of the previous release of samples at 8 TeV. That review showed that capacity-building is one of the most important and abundant uses of public ATLAS samples. To fulfil the requirements of the community and at the same time attract new users and use cases, we developed real analysis software based on ROOT in two of the most popular programming languages: C++ and Python. These so-called analysis frameworks are complex enough to reproduce with reasonable accuracy the results -figures and final yields- of published ATLAS Collaboration physics papers, but still light enough to be run on commodity computers. Computers that university students and regular classrooms have, allow students to explore LHC data with similar techniques to those used by current ATLAS analysers. We present the development path and the final result of these analysis frameworks, their products and how they are distributed to final users inside and outside the ATLAS community.ATL-OREACH-PROC-2020-001oai:cds.cern.ch:27091682020-02-11
spellingShingle Particle Physics - Experiment
Ould-Saada, Farid
ATLAS Open Data – Development of a simple-but-real HEP data analysis framework
title ATLAS Open Data – Development of a simple-but-real HEP data analysis framework
title_full ATLAS Open Data – Development of a simple-but-real HEP data analysis framework
title_fullStr ATLAS Open Data – Development of a simple-but-real HEP data analysis framework
title_full_unstemmed ATLAS Open Data – Development of a simple-but-real HEP data analysis framework
title_short ATLAS Open Data – Development of a simple-but-real HEP data analysis framework
title_sort atlas open data – development of a simple-but-real hep data analysis framework
topic Particle Physics - Experiment
url https://dx.doi.org/10.1051/epjconf/202024508023
http://cds.cern.ch/record/2709168
work_keys_str_mv AT ouldsaadafarid atlasopendatadevelopmentofasimplebutrealhepdataanalysisframework