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ATLAS Conference Slides

ეძებე 13,642 ჩანაწერი:
ძებნის მინიშნებანი :: გაფართოებული ძებნა
უკანასკნელი დამატებები:
2026-06-14
13:54
Dijet probes for initial state effects in p+A collisions at ATLAS / Novotny, Patrik (Weizmann Institute of Science (IL)) /ATLAS Collaboration
Proton–nucleus collisions at the LHC provide a powerful laboratory to investigate initial-state phenomena in heavy-ion physics. Fluctuations in the proton configuration can significantly modify its effective interaction strength, biasing estimates of event activity and, consequently, the inferred number of wounded nucleons in the Pb nucleus. [...]
ATL-PHYS-SLIDE-2026-271.- Geneva : CERN, 2026 - 13 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : XXXIII International Workshop on Deep Inelastic Scattering and Related Subjects, Bologna, It, 4 - 8 May 2026

დეტალური ჩანაწერი
2026-06-12
08:30
Upgrade of the ATLAS Tile Calorimeter for the High-Luminosity Phase of the LHC / Fiorini, Luca (Univ. of Valencia and CSIC (ES)) /ATLAS Collaboration
The Tile Calorimeter (TileCal), the central hadronic calorimeter of the ATLAS experiment at the Large Hadron Collider, is undergoing a comprehensive electronics upgrade in preparation for the High-Luminosity LHC (HL-LHC) phase, expected to start in 2030. The HL-LHC will deliver a significantly increased instantaneous luminosity by a factor of 5 to 7.5, posing substantial challenges in terms of trigger rates, radiation tolerance, and pile-up conditions. [...]
ATL-TILECAL-SLIDE-2026-270.- Geneva : CERN, 2026 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)

დეტალური ჩანაწერი
2026-06-11
15:49
Accelerating GNN Inference for the GNN4ITk Pipeline in ATLAS / ATLAS Collaboration
The High-Luminosity LHC (HL-LHC) will impose unprecedented pile-up and throughput demands on the ATLAS offline tracking reconstruction, making computational efficiency an essential requirement alongside physics performance. We present a comprehensive study of the ATLAS GNN4ITk offline track-reconstruction pipeline, spanning graph construction, Graph Neural Network (GNN) inference, and track building, with a focus on scalable deployment on GPU-accelerated computing platforms. [...]
ATL-SOFT-SLIDE-2026-269.- Geneva : CERN, 2026 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 28th Conference on Computing in High Energy and Nuclear Physics, Bangkok, Th, 25 - 29 May 2026

დეტალური ჩანაწერი
2026-06-11
15:47
First functional prototype for the reconstruction of charged particle tracks using machine learning in the ATLAS experiment at the HL-LHC / ATLAS Collaboration
The High-Luminosity LHC (HL-LHC) will bring large increases in collision rate and pile-up. This represents a significant surge in both data quantity and complexity. [...]
ATL-SOFT-SLIDE-2026-268.- Geneva : CERN, 2026 - 14 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 28th Conference on Computing in High Energy and Nuclear Physics, Bangkok, Th, 25 - 29 May 2026

დეტალური ჩანაწერი
2026-06-10
19:09
Production and physics of the top quark at the Large Hadron Collider; Prospects at HL-LHC / Costa Mezquita, Maria Jose (Univ. of Valencia and CSIC (ES)) /ATLAS Collaboration
The talk should discuss ttbar and single top production at LHC (at different energies - include also Tevatron results); possibly, notes/remarks on top+jet production; top properties and measurement of the top quark mass. Please note that the impact of the top quark mass on the electroweak vacuum stability will be covered by a dedicated talk. [...]
ATL-PHYS-SLIDE-2026-267.- Geneva : CERN, 2026 - 25 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)

დეტალური ჩანაწერი
2026-06-10
18:15
ACTS Integration for ATLAS Phase-II Track Reconstruction / Calace, Noemi (CERN) /ATLAS Collaboration
The ATLAS experiment is undertaking a major modernisation of its reconstruction software to meet the demanding conditions of High-Luminosity LHC (HL-LHC) operations. A key element of this effort is the use of the experiment-independent ACTS toolkit for track reconstruction, which requires a major redesign of several parts of the current ATLAS software. [...]
ATL-SOFT-SLIDE-2026-266.- Geneva : CERN, 2026 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 28th Conference on Computing in High Energy and Nuclear Physics, Bangkok, Th, 25 - 29 May 2026

დეტალური ჩანაწერი
2026-06-10
18:06
Leveraging Inference as a Service technology for executing ML models by the Derived AOD production applications of the ATLAS experiment / Hu, Fengping (University of Chicago (US)) ; Ju, Xiangyang (Lawrence Berkeley National Lab. (US)) ; Stark, Giordon Holtsberg (University of California,Santa Cruz (US)) ; Tsulaia, Vakhtang (Lawrence Berkeley National Lab. (US)) /ATLAS Collaboration
To address this challenge and prepare for the transition to large, resource-intensive ML models, we propose leveraging AthenaTriton for DAOD production, where these ML models are executed on dedicated computing resources. AthenaTriton is a tool for running ML inference as a service in Athena using the NVIDIA Triton server software. [...]
ATL-SOFT-SLIDE-2026-265.- Geneva : CERN, 2026 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 28th Conference on Computing in High Energy and Nuclear Physics, Bangkok, Th, 25 - 29 May 2026

დეტალური ჩანაწერი
2026-06-10
18:03
Analysis of Tape Archival Metadata Based on ATLAS Run3 Recall History / Grigoryeva, Maria (Millennium Institute for Subatomic Physics at High Energy Frontier (CL)) ; Klimentov, Alexei (Brookhaven National Laboratory (US)) ; Korchuganova, Tatiana (University of Pittsburgh (US)) ; Zhao, Xin (Brookhaven National Laboratory (US)) /ATLAS Collaboration
The High Luminosity upgrade to the LHC (HL-LHC) is expected to generate scientific data on the scale of the multiple exabytes. To address this unprecedented data storage challenge, the ATLAS experiment launched the Data Carousel project in 2018, which entered production in 2020. [...]
ATL-SOFT-SLIDE-2026-264.- Geneva : CERN, 2026 - 14 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 28th Conference on Computing in High Energy and Nuclear Physics, Bangkok, Th, 25 - 29 May 2026

დეტალური ჩანაწერი
2026-06-10
17:20
Storage tests for the German Tier-2 WLCG contribution with the NHR HPC cluster Emmy: ATLAS use case / Lakomiec, Inga Katarzyna (Georg August Universitaet Goettingen (DE)) ; Mammadzada, Ughur (Georg August Universitaet Goettingen (DE)) ; Polisetty, Uday Saidev (Georg August Universitaet Goettingen (DE)) ; Quadt, Arnulf (Georg August Universitaet Goettingen (DE)) ; Wozniewski, Sebastian (Georg August Universitaet Goettingen (DE)) /ATLAS Collaboration
German computing sites play a vital role in the Large Hadron Collider (LHC) job processing and data storage as part of the Worldwide LHC Computing Grid (WLCG). The storage and computing contributions of university-based Tier-2 centres in Germany are transitioning to the Helmholtz Centres and National High Performance Computing (NHR) sites, respectively, to meet the growing data and computational demands of the High-Luminosity LHC (HL-LHC). [...]
ATL-SOFT-SLIDE-2026-263.- Geneva : CERN, 2026 - 25 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 28th Conference on Computing in High Energy and Nuclear Physics, Bangkok, Th, 25 - 29 May 2026

დეტალური ჩანაწერი
2026-06-10
15:43
Enhancing the Performance of the SCAB SuperSearch in the ATLAS Speakers System / Mira Marins, Leonardo (Federal University of Rio de Janeiro (BR)) /ATLAS Collaboration
The European Organization for Nuclear Research (CERN), home to the Large Hadron Collider, hosts one of the world’s largest particle physics experiments, the ATLAS experiment. To effectively support administration, workflow management, and scientific communication within ATLAS, the Glance project was established in 2003 to provide web-based automated solutions for membership, analysis tracking, speaker nomination, and publication workflows. [...]
ATL-SOFT-SLIDE-2026-262.- Geneva : CERN, 2026 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 28th Conference on Computing in High Energy and Nuclear Physics, Bangkok, Th, 25 - 29 May 2026

დეტალური ჩანაწერი