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The new ATLAS Fast Calorimeter Simulation

With the huge amount of data collected with ATLAS, there is a need to produce a large number of simulated events. These productions are very CPU and time consuming when using the full GEANT4 simulation. FastCaloSim is a program to quickly simulate the ATLAS calorimeter response, based on a parameter...

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Autor principal: Jacka, Petr
Lenguaje:eng
Publicado: 2018
Materias:
Acceso en línea:http://cds.cern.ch/record/2622459
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author Jacka, Petr
author_facet Jacka, Petr
author_sort Jacka, Petr
collection CERN
description With the huge amount of data collected with ATLAS, there is a need to produce a large number of simulated events. These productions are very CPU and time consuming when using the full GEANT4 simulation. FastCaloSim is a program to quickly simulate the ATLAS calorimeter response, based on a parameterization of the GEANT4 energy deposits of several kinds of particles in a grid of energy and eta. A new version of FastCaloSim is under development and its integration into the ATLAS simulation infrastructure is ongoing. The use of machine learning techniques improves the performance and decreases the memory usage. Dedicated parameterizations for the forward calorimeters are being studied. First results of the new FastCaloSim show substantial improvements of the description of energy and shower shape variables, including the variables for jet substructure.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
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spelling cern-26224592019-09-30T06:29:59Zhttp://cds.cern.ch/record/2622459engJacka, PetrThe new ATLAS Fast Calorimeter SimulationParticle Physics - ExperimentWith the huge amount of data collected with ATLAS, there is a need to produce a large number of simulated events. These productions are very CPU and time consuming when using the full GEANT4 simulation. FastCaloSim is a program to quickly simulate the ATLAS calorimeter response, based on a parameterization of the GEANT4 energy deposits of several kinds of particles in a grid of energy and eta. A new version of FastCaloSim is under development and its integration into the ATLAS simulation infrastructure is ongoing. The use of machine learning techniques improves the performance and decreases the memory usage. Dedicated parameterizations for the forward calorimeters are being studied. First results of the new FastCaloSim show substantial improvements of the description of energy and shower shape variables, including the variables for jet substructure.ATL-SOFT-SLIDE-2018-351oai:cds.cern.ch:26224592018-06-09
spellingShingle Particle Physics - Experiment
Jacka, Petr
The new ATLAS Fast Calorimeter Simulation
title The new ATLAS Fast Calorimeter Simulation
title_full The new ATLAS Fast Calorimeter Simulation
title_fullStr The new ATLAS Fast Calorimeter Simulation
title_full_unstemmed The new ATLAS Fast Calorimeter Simulation
title_short The new ATLAS Fast Calorimeter Simulation
title_sort new atlas fast calorimeter simulation
topic Particle Physics - Experiment
url http://cds.cern.ch/record/2622459
work_keys_str_mv AT jackapetr thenewatlasfastcalorimetersimulation
AT jackapetr newatlasfastcalorimetersimulation