Concepts and Plans towards fast large scale Monte Carlo production for the ATLAS Experiment

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The huge success of the physics program of the ATLAS experiment at the Large Hadron Collider (LHC) during run I relies upon a great number of simulated Monte Carlo events. This Monte Carlo production takes the biggest part of the computing resources being in use by ATLAS as of now. In this document...

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Autores principales: Chapman, J, Clark, P, Duehrssen, M, Elsing, M, Froidevaux, D, Harrington, R, Jansky, R, Langenberg, R, Mandrysch, R, Marshall, Z, Ritsch, E, Salzburger, A
Lenguaje:eng
Publicado: 2013
Materias:
Detectors and Experimental Techniques
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/523/1/012035
http://cds.cern.ch/record/1604507
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author Chapman, J
Clark, P
Duehrssen, M
Elsing, M
Froidevaux, D
Harrington, R
Jansky, R
Langenberg, R
Mandrysch, R
Marshall, Z
Ritsch, E
Salzburger, A
author_facet Chapman, J
Clark, P
Duehrssen, M
Elsing, M
Froidevaux, D
Harrington, R
Jansky, R
Langenberg, R
Mandrysch, R
Marshall, Z
Ritsch, E
Salzburger, A
author_sort Chapman, J
collection CERN
description The huge success of the physics program of the ATLAS experiment at the Large Hadron Collider (LHC) during run I relies upon a great number of simulated Monte Carlo events. This Monte Carlo production takes the biggest part of the computing resources being in use by ATLAS as of now. In this document we describe the plans to overcome the computing resource limitations for large scale Monte Carlo production in the ATLAS Experiment for run II, and beyond. A number of fast detector simulation, digitization and reconstruction techniques and are being discussed, based upon a new flexible detector simulation framework. To optimally benefit from these developments, a redesigned ATLAS MC production chain is presented at the end of this document.
id cern-1604507
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2013
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spelling cern-16045072019-09-30T06:29:59Zdoi:10.1088/1742-6596/523/1/012035http://cds.cern.ch/record/1604507engChapman, JClark, PDuehrssen, MElsing, MFroidevaux, DHarrington, RJansky, RLangenberg, RMandrysch, RMarshall, ZRitsch, ESalzburger, AConcepts and Plans towards fast large scale Monte Carlo production for the ATLAS ExperimentDetectors and Experimental TechniquesThe huge success of the physics program of the ATLAS experiment at the Large Hadron Collider (LHC) during run I relies upon a great number of simulated Monte Carlo events. This Monte Carlo production takes the biggest part of the computing resources being in use by ATLAS as of now. In this document we describe the plans to overcome the computing resource limitations for large scale Monte Carlo production in the ATLAS Experiment for run II, and beyond. A number of fast detector simulation, digitization and reconstruction techniques and are being discussed, based upon a new flexible detector simulation framework. To optimally benefit from these developments, a redesigned ATLAS MC production chain is presented at the end of this document.ATL-SOFT-PROC-2013-004oai:cds.cern.ch:16045072013-10-01
spellingShingle Detectors and Experimental Techniques
Chapman, J
Clark, P
Duehrssen, M
Elsing, M
Froidevaux, D
Harrington, R
Jansky, R
Langenberg, R
Mandrysch, R
Marshall, Z
Ritsch, E
Salzburger, A
Concepts and Plans towards fast large scale Monte Carlo production for the ATLAS Experiment
title Concepts and Plans towards fast large scale Monte Carlo production for the ATLAS Experiment
title_full Concepts and Plans towards fast large scale Monte Carlo production for the ATLAS Experiment
title_fullStr Concepts and Plans towards fast large scale Monte Carlo production for the ATLAS Experiment
title_full_unstemmed Concepts and Plans towards fast large scale Monte Carlo production for the ATLAS Experiment
title_short Concepts and Plans towards fast large scale Monte Carlo production for the ATLAS Experiment
title_sort concepts and plans towards fast large scale monte carlo production for the atlas experiment
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.1088/1742-6596/523/1/012035
http://cds.cern.ch/record/1604507
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