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CERN Document Server 2,022 ჩანაწერია ნაპოვნი  1 - 10შემდეგიდასასრული  ჩანაწერთან გადასვლა: ძიებას დასჭირდა 0.45 წამი. 
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Advancements in the ATLAS Fast Chain for HL-LHC: Towards Efficient MC Production / Tsai, Fang-Ying (Stony Brook University (US)) /ATLAS Collaboration
The ATLAS Fast Chain represents a significant advancement in streamlining Monte Carlo (MC) production efficiency, specifically for the High-Luminosity Large Hadron Collider (HL-LHC). This project aims to simplify the production of Analysis Object Data (AODs) and potentially Derived Analysis Object Data (DAODs) from generated events with a single transform, facilitating rapid reproduction of the entire MC dataset multiple times per year. [...]
ATL-SOFT-SLIDE-2024-550.- Geneva : CERN, 2024 - 20 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 27th International Conference on Computing in High Energy & Nuclear Physics, Kraków, Pl, 19 - 25 Oct 2024
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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The Fast Simulation Program of ATLAS at the LHC / Javurkova, Martina (University of Massachusetts (US))
The simulation of Monte Carlo (MC) events is a crucial task and an indispensable ingredient for every physics analysis. [...]
ATL-SOFT-PROC-2024-009. - 2024. - 7 p.
Original Communication (restricted to ATLAS) - Full text
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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The Fast Simulation Program of ATLAS at the LHC / Javurkova, Martina (University of Massachusetts (US)) /ATLAS Collaboration
The simulation of Monte Carlo (MC) events is a crucial task and an indispensable ingredient for every physics analysis. Geant4 is the state-of-the-art tool used for detailed simulations of the ATLAS detector, which however requires large CPU resources. [...]
ATL-SOFT-SLIDE-2024-261.- Geneva : CERN, 2024 - 28 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 42nd International Conference on High Energy Physics, Prague, Cz, 18 - 24 Jul 2024
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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Fatras integration for ATLAS fast simulation at HL-LHC / Mijovic, Liza (The University of Edinburgh (GB)) ; Wang, Rui (Argonne National Laboratory (US)) ; Javurkova, Martina (University of Massachusetts (US)) ; Chapman, John Derek (University of Cambridge (GB)) ; Shemyakin, Dmitry (Weizmann Institute of Science (IL)) /ATLAS Collaboration
The computing challenges in collecting, storing, reconstructing, and analyzing the colossal volume of data produced by the ATLAS experiment and producing similar numbers of simulated Monte Carlo (MC) events put formidable requirements on the computing resources of the ATLAS collaboration. ATLAS currently expends around 40% of its CPU resources on detector simulation, in which half of the events are produced with full simulation using GEANT4. [...]
ATL-SOFT-SLIDE-2024-038.- Geneva : CERN, 2024 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 22nd International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Stony Brook, Us, 11 - 15 Mar 2024
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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The ATLAS Fast Monte Carlo Production Chain Project / Jansky, Roland Wolfgang (Institut fuer Astro- und Teilchenphysik der Leopold-Franzens-Universitaet Innsbruck)
During the last years ATLAS has successfully deployed a new integrated simulation framework (ISF) which allows a flexible mixture of full and fast detector simulation techniques within the processing of one event. [...]
ATL-SOFT-PROC-2015-007. - 2015. - 6 p.
Original Communication (restricted to ATLAS) - Full text - IOP Open Access article
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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The ATLAS Fast Monte Carlo Production Chain Project / Jansky, Roland Wolfgang (Institut fuer Astro- und Teilchenphysik der Leopold-Franzens-Universitaet Innsbruck)
During the last years ATLAS has successfully deployed a new integrated simulation framework (ISF) which allows a flexible mixture of full and fast detector simulation techniques within the processing of one event. With the ISF, the simulation execution speed could be increased up to a factor 100, which makes subsequent digitisation and reconstruction processing the dominant contributions to the MC production CPU cost. [...]
ATL-SOFT-SLIDE-2015-103.- Geneva : CERN, 2015 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 13 - 17 Apr 2015
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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Boosting CPU Efficiency in ATLAS Inner Detector Reconstruction with Track Overlay / Tsai, Fang-Ying (Stony Brook University (US))
In response to the rising CPU consumption and storage demands of the High-Luminosity Large Hadron Collider (HL-LHC), efforts are ongoing to enhance the CPU processing efficiency of reconstruction within the ATLAS inner detector (ID). [...]
ATL-SOFT-PROC-2024-006. - 2024. - 5 p.
Original Communication (restricted to ATLAS) - Full text
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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Boosting CPU Efficiency in ATLAS Inner Detector Reconstruction with Track Overlay / Tsai, Fang-Ying (Stony Brook University (US)) ; Duda, Dominik (The University of Edinburgh (GB)) ; Jiggins, Stephen (Deutsches Elektronen-Synchrotron (DE)) /ATLAS Collaboration
In response to the rising CPU consumption and storage demands, as we enter a new phase in particle physics with the High-Luminosity Large Hadron Collider (HL-LHC), our efforts are centered around enhancing the CPU processing efficiency of reconstruction within the ATLAS inner detector. The track overlay approach involves pre-reconstructing pileup tracks and subsequently running reconstruction exclusively on hard-scatter tracks. [...]
ATL-SOFT-SLIDE-2024-039.- Geneva : CERN, 2024 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 22nd International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Stony Brook, Us, 11 - 15 Mar 2024
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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Performance of the Fast ATLAS Tracking Simulation (FATRAS) and the ATLAS Fast Calorimeter Simulation (FastCaloSim) with single particles
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. [...]
ATL-SOFT-PUB-2014-001. - 2014. - 14 p.
Original Communication (restricted to ATLAS) - Full text
დეტალური ჩანაწერი - მსგავსი ჩანაწერები
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FATRAS - the ATLAS Fast Track Simulation project / Mechnich, J (NIKHEF, Amsterdam)
The Monte Carlo simulation of the detector response is an integral component of any analysis performed with data from the LHC experiments. [...]
ATL-SOFT-PROC-2011-008. - 2011. - 6 p.
Original Communication (restricted to ATLAS) - Full text
დეტალური ჩანაწერი - მსგავსი ჩანაწერები

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