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CERN Document Server 2,019 εγγραφές βρέθηκαν  1 - 10επόμενοτέλος  μετάβαση στην εγγραφή: Η έρευνα πήρε 0.44 δευτερόλεπτα. 
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The new ATLAS Fast Calorimeter Simulation / Hasib, Ahmed (University of Edinburgh) /ATLAS Collaboration
Producing the very large samples of simulated events required by many physics and performance studies with the ATLAS detector using the full GEANT4 detector simulation is highly CPU intensive. Fast simulation tools are a useful way of reducing CPU requirements when detailed detector simulations are not needed. [...]
ATL-SOFT-SLIDE-2017-446.- Geneva : CERN, 2017 - 35 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : XXIX IUPAP Conference on Computational Physics, Paris, France, 9 - 13 Jul 2017
Αναλυτική εγγραφή - Παρόμοιες εγγραφές
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New approaches using machine learning for fast shower simulation in ATLAS / Hasib, Ahmed (University of Edinburgh) ; Schaarschmidt, Jana (Department of Physics, University of Washington, Seattle) ; Gadatsch, Stefan (Departement de Physique Nucleaire et Corpusculaire, Universite de Geneve) ; Golling, Tobias (Departement de Physique Nucleaire et Corpusculaire, Universite de Geneve) ; Salamani, Dalila (Departement de Physique Nucleaire et Corpusculaire, Universite de Geneve) ; Ghosh, Aishik (LAL, Univ. Paris-Sud, IN2P3/CNRS, Universite Paris-Saclay) ; Rousseau, David (LAL, Univ. Paris-Sud, IN2P3/CNRS, Universite Paris-Saclay) ; Cranmer, Kyle (Department of Physics, New York University) ; Stewart, Graeme (European Laboratory for Particle Physics, CERN) ; Louppe, Gilles Claude (Department of Physics, New York University) /ATLAS Collaboration
Modeling the detector response to collisions is one of the most CPU expensive and time-consuming aspects in the LHC. The current ATLAS baseline, GEANT4, is highly CPU intensive. [...]
ATL-SOFT-SLIDE-2018-464.- Geneva : CERN, 2018 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
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(35)
Upgrading ATLAS Fast Calorimeter Simulation / Heath, Matthew Peter (University of Edinburgh) /ATLAS Collaboration
Producing the very large samples of simulated events required by many physics and performance studies with the ATLAS detector using the full GEANT4 detector simulation is highly CPU intensive. Fast simulation tools are a useful way of reducing CPU requirements when detailed detector simulations are not needed. [...]
ATL-SOFT-SLIDE-2017-405.- Geneva : CERN, 2017 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 2017 European Physical Society Conference on High Energy Physics, Venice, Italy, 05 - 12 Jul 2017
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Fast Calorimeter Simulation in ATLAS / Schaarschmidt, Jana (Department of Physics, University of Washington, Seattle) /ATLAS Collaboration
Producing the very large samples of simulated events required by many physics and performance studies with the ATLAS detector using the full GEANT4 detector simulation is highly CPU intensive. Fast simulation tools are a useful way of reducing CPU requirements when detailed detector simulations are not needed. [...]
ATL-SOFT-SLIDE-2017-676.- Geneva : CERN, 2017 - 18 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Seattle, WA, USA, 21 - 25 Aug 2017
Αναλυτική εγγραφή - Παρόμοιες εγγραφές
5.
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The New ATLAS Fast Calorimeter Simulation / Heath, Matthew Peter (University of Edinburgh)
Producing the large samples of simulated events required by many physics and performance studies with the ATLAS detector using the full GEANT4 detector simulation is highly CPU intensive. [...]
ATL-SOFT-PROC-2017-053. - 2018. - 5 p.
Original Communication (restricted to ATLAS) - Full text
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6.
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The new ATLAS Fast Calorimeter Simulation / Schaarschmidt, Jana (Department of Physics, University of Washington, Seattle) /ATLAS Collaboration
ATLAS relies on very large samples of simulated events for delivering high-quality and competitive physics results, but producing these samples takes much time and is very CPU intensive when using the full GEANT4 detector simulation. Fast simulation tools are a useful way of reducing CPU requirements when detailed detector simulations are not needed. [...]
ATL-SOFT-SLIDE-2018-457.- Geneva : CERN, 2018 - 17 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018
Αναλυτική εγγραφή - Παρόμοιες εγγραφές
7.
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Fast Calorimeter Simulation in ATLAS / Gadatsch, Stefan (Departement de Physique Nucleaire et Corpusculaire, Universite de Geneve) /ATLAS Collaboration
Modeling the detector response to collisions is one of the most CPU expensive and time-consuming aspects in the LHC. The current ATLAS baseline, GEANT4, is highly CPU intensive. [...]
ATL-SOFT-SLIDE-2018-465.- Geneva : CERN, 2018 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
Αναλυτική εγγραφή - Παρόμοιες εγγραφές
8.
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The new ATLAS Fast Calorimeter Simulation / Schaarschmidt, Jana (Department of Particle Physics, The Weizmann Institute of Science) /ATLAS Collaboration
Many physics and performance studies with the ATLAS detector at the Large Hadron Collider require very large samples of simulated events, and producing these using the full GEANT4 detector simulation is highly CPU intensive. Often, a very detailed detector simulation is not needed, and in these cases fast simulation tools can be used to reduce the calorimeter simulation time by a few orders of magnitude. [...]
ATL-SOFT-SLIDE-2016-677.- Geneva : CERN, 2016 - 16 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016
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ATLAS Fast Simulation - from classical to deep learning / Hasib, Ahmed (The University of Edinburgh (GB)) /ATLAS Collaboration
ATLAS, one of the largest experiments at the Large Hadron Collider, has a broad physics program, ranging from precision measurements to the discovery of new interactions. Completing that program requires gargantuan amounts of simulated Monte Carlo events. [...]
ATL-SOFT-SLIDE-2022-006.- Geneva : CERN, 2022 - 35 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
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10.
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The new Fast Calorimeter Simulation in ATLAS
ATLAS relies on very large samples of simulated events for delivering high-quality and competitive physics results, but producing these samples is very CPU intensive when using the full GEANT4 detector simulation. [...]
ATL-SOFT-PUB-2018-002. - 2018.
Original Communication (restricted to ATLAS) - Full text
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