2025-02-26 13:13 |
Detaljerad journal - Similar records
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2025-02-25 14:59 |
The ATLAS RPC Phase II upgrade for High Luminosity LHC era
/ Falsetti, Gregorio (Universita della Calabria e INFN (IT))
/ATLAS Collaboration
Resistive Plate Chamber detectors play a crucial role in triggering events with muons in the ATLAS central region. In view of the High Luminosity LHC program, this system is facing a significant upgrade In the next few years, 306 triplets of new generation RPCs will be installed in the innermost region of the ATLAS Muon Barrel Spectrometer, increasing the number of tracking layers from 6 to 9, doubling the trigger lever arm and increasing the coverage. [...]
ATL-MUON-SLIDE-2025-018.-
Geneva : CERN, 2025 - 1 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
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2025-02-25 10:54 |
AthenaTriton: A Tool for running Machine Learning Inference as a Service in Athena
/ Chou, Yuan-Tang (University of Washington (US)) ; Stanislaus, Beojan (Lawrence Berkeley National Lab. (US)) ; Leggett, Charles (Lawrence Berkeley National Lab. (US)) ; Zhao, Haoran (University of Washington (US)) ; Esseiva, Julien (Lawrence Berkeley National Lab. (US)) ; Calafiura, Paolo (Lawrence Berkeley National Lab. (US)) ; Hsu, Shih-Chieh (University of Washington (US)) ; Tsulaia, Vakhtang (Lawrence Berkeley National Lab. (US)) ; Ju, Xiangyang (Lawrence Berkeley National Lab. (US))
/ATLAS Collaboration
Machine Learning (ML)-based algorithms play increasingly important roles in almost all aspects of the data analyses in ATLAS. Diverse ML models are used in detector simulations, event reconstructions, and data analyses. [...]
ATL-SOFT-SLIDE-2024-663.-
Geneva : CERN, 2025 - 14 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
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2025-02-25 10:53 |
Machine Learning Inference in Athena with ONNXRuntime
/ Ju, Xiangyang (Lawrence Berkeley National Lab. (US)) ; Krasznahorkay, Attila (University of Massachusetts (US)) ; Stanislaus, Beojan (Lawrence Berkeley National Lab. (US)) ; Leggett, Charles (Lawrence Berkeley National Lab. (US)) ; Bakshi Gupta, Debottam (University of Texas at Arlington (US)) ; Elmsheuser, Johannes (Brookhaven National Laboratory (US)) ; Esseiva, Julien (Lawrence Berkeley National Lab. (US)) ; Calafiura, Paolo (Lawrence Berkeley National Lab. (US)) ; Tsulaia, Vakhtang (Lawrence Berkeley National Lab. (US))
/ATLAS Collaboration
Machine Learning (ML)-based algorithms play increasingly important roles in almost all aspects of data processing in the ATLAS experiment at CERN. Diverse ML models are used in detector simulation, event reconstruction, and data analysis. [...]
ATL-SOFT-SLIDE-2024-662.-
Geneva : CERN, 2025
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
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2025-02-24 11:03 |
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2025-02-17 10:05 |
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2025-02-11 09:40 |
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2025-02-10 11:20 |
Exotic searches at ATLAS
/ Vergis, Christos (University of London (GB))
/ATLAS Collaboration
Many theories beyond the Standard Model (SM) have been proposed to address several of the SM shortcomings, such as explaining why the Higgs boson is so light, the origin of neutrino masses, or the observed pattern of masses and mixing angles in the quark and lepton sectors. Many of these beyond-the-SM extensions predict new particles or interactions directly accessible at the LHC. [...]
ATL-PHYS-SLIDE-2024-661.-
Geneva : CERN, 2025 - 19 p.
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 15th Latin American Symposium on High Energy Physics, City Of Mexico, City Of Mexico, Mx, 4 - 8 Nov 2024
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2025-02-07 21:56 |
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2025-02-07 11:42 |
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