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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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Lenguaje: | eng |
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2018
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Acceso en línea: | http://cds.cern.ch/record/2622459 |
_version_ | 1780958601456648192 |
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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. |
id | cern-2622459 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2018 |
record_format | invenio |
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 |