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CERN Document Server Encontrados 174 registros  1 - 10siguientefinal  ir al registro: La búsqueda tardó 0.70 segundos. 
1.
Machine Learning for Real-Time Processing of ATLAS Liquid Argon Calorimeter Signals with FPGAs / Voigt, Johann Christoph (Technische Universitaet Dresden (DE)) /ATLAS Collaboration
The Phase-II Upgrade of the LHC will increase its instantaneous luminosity by a factor of 7 leading to the HL-LHC era. At the HL-LHC, the number of proton-proton collisions in one bunch crossing, pileup, increases significantly, putting stringent requirements on the LHC detectors electronics and real-time data processing capabilities. [...]
ATL-LARG-SLIDE-2024-672.- Geneva : CERN, 2025 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 31st International Workshop on Deep Inelastic Scattering, Grenoble, France, 8 - 12 Apr 2024
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2.
Technical challenges and performance of the new ATLAS LAr Calorimeter Trigger / Yang, Yi-Lin (Southern Methodist University (US)) /ATLAS Collaboration
The Liquid Argon Calorimeters are employed by ATLAS for all electromagnetic calorimetry in the pseudo-rapidity region |η| < 3.2, and for hadronic and forward calorimetry in the region from |η| = 1.5 to |η| = 4.9. They also provide inputs to the first level of the ATLAS trigger. [...]
ATL-LARG-SLIDE-2025-295.- Geneva : CERN, 2025 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 13th Edition of the Large Hadron Collider Physics Conference (LHCP2025), Taipei, Tw, 5 - 9 May 2025
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3.
Preliminary Design Considerations for the Forward Liquid Argon detector (FLArE) at the high luminosity LHC / Bian, Jianming (University of California Irvine (US)) ; Diwan, Milind Vaman (Brookhaven National Laboratory (US)) ; Bartoszek, Larry (University of Colorado Boulder (US)) ; Rescia, Sergio (Brookhaven National Laboratory (US)) ; Li, Yichen (Brookhaven National Laboratory (US)) ; Linden, Steven Keith (Brookhaven National Laboratory (US)) ; Vicenzi, Matteo (Brookhaven National Laboratory (US)) ; Wu, Wenjie (CERN) ; Yip, Kin (Brookhaven National Laboratory (US)) ; Boyd, Jamie (CERN) et al.
This technical note describes the current status of the technical design and optimization of the FLArE detector in the Forward Physics Facility (FPF). It is a working document that summarizes the current studies including possible improvements and future items to investigate. [...]
CERN-PBC-Notes-2025-007.- Geneva : CERN, 2025 - 56. Fulltext: PDF;
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4.
First Look at Particle Flow in a LAr Calorimeter Using Pandora in the Key4hep Framework / Sasikumar, Swathi (CERN) ; Sailer, Andre (CERN) ; Francois, Brieuc (CERN)
Future detector studies rely on advanced software tools for performance estimation and design optimization. [...]
CERN-EP-RDET-2024-003. - 4.
Full text
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5.
Autoencoder-based time series anomaly detection for ATLAS Liquid Argon calorimeter data quality monitoring
This note introduces a prototype autoencoder-based algorithm designed to identify detector anomalies in ATLAS liquid argon calorimeter data. [...]
ATL-DAPR-PUB-2024-002. - 2024 - mult..
Original Communication (restricted to ATLAS) - Full text
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6.
Proto-DUNE NP04 Horizontal Drift Shift control and Purity Monitor using Bi-207 / Raut, Rohit (University of Texas at Arlington (US))
The Deep Underground Neutrino Experiment (DUNE) is a flagship neutrino physics experiment aimed at probing the fundamental properties of neutrinos, some of the universe’s most elusive particles. [...]
CERN-STUDENTS-Note-2024-225. - 2024
Access to fulltext
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7.
Machine Learning for Real-Time Processing of ATLAS Liquid Argon Calorimeter Signals with FPGAs / Voigt, Johann Christoph (Dresden, Tech. U., ITP)
To deal with the higher pileup after the high-luminosity upgrade of the LHC, the ATLAS liquid argon calorimeter readout electronics will be replaced. [...]
ATL-LARG-PROC-2024-004. - 2024 - 7.
Original Communication (restricted to ATLAS) - Full text
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8.
Machine Learning for Real-Time Processing of ATLAS Liquid Argon Calorimeter Signals with FPGAs / Sur, Nairit (CNRS, France ; Marseille, CPPM)
The high luminosity upgrade of the LHC (HL-LHC) will see a massive increase in the instantaneous luminosity leading to up to 200 proton-proton collisions in each bunch crossing (pileup) demanding higher performance from the LHC detectors' electronics and real-time data processing. [...]
ATL-LARG-PROC-2024-003. - 2024 - 6.
Original Communication (restricted to ATLAS) - Full text
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9.
Machine Learning for Real-Time Processing of ATLAS Liquid Argon Calorimeter Signals with FPGAs / Sur, Nairit (Centre National de la Recherche Scientifique (FR)) /ATLAS Collaboration
The Phase-II upgrade of the LHC will increase its instantaneous luminosity by a factor of 7 leading to the High Luminosity LHC (HL-LHC). At the HL-LHC, the number of proton-proton collisions in one bunch crossing (called pileup) increases significantly, putting more stringent requirements on the LHC detectors electronics and real-time data processing capabilities. [...]
ATL-LARG-SLIDE-2024-404.- Geneva : CERN, 2024 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 42nd International Conference on High Energy Physics (ICHEP 2024), Prague, Czech Republic, 18 - 24 Jul 2024, pp.ATL-LARG-PROC-2024-003
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10.
Web Visualization of ATLAS Data / Izquierdo Muniz, Coral (CERN)
This project consists of developing a web application for the LAr Operations team of the ATLAS detector at the LHC. [...]
CERN-STUDENTS-Note-2024-103. - 2024
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