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CERN Document Server 1,161 record trovati  1 - 10successivofine  salta al record: La ricerca ha impiegato 0.58 secondi. 
1.
ATLAS Micromegas Performance Studies with LHC Run3 Data / Francescato, Simone (Harvard University (US))
After successfully completing Phase I upgrades during LHC Long Shutdown 2, the ATLAS detector is back in operation with several upgrades implemented. [...]
ATL-MUON-PROC-2025-001. - 2025 - 4.
Original Communication (restricted to ATLAS) - Full text
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2.
Track momentum resolution measurement for Run 3 at LHCb / Zhao, Ya (Heidelberg University (DE)) ; Dufour, Laurent (CERN) ; Gao, Zihan (Peking University (CN)) ; Hulsbergen, Wouter (Nikhef National institute for subatomic physics (NL)) ; Wang, Mengzhen (CERN) ; Xu, Zehua (CERN)
The long track momentum resolution is a key metric for evaluating the performance of the tracking system at LHCb . This document presents the methodology to measure the long track momentum resolution. [...]
LHCb-PUB-2024-009; CERN-LHCb-PUB-2024-009.- Geneva : CERN, 2024
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3.
Lepton energy scale and resolution corrections based on an analytical likelihood approach / Couderc, Fabrice (IRFU, Saclay) ; Gaigne, Paul (IRFU, Saclay) ; Sahin, Ozge (Cukurova U.)
In this document, we describe a new approach to obtain the energy scale and resolution correction based on the minimization of an analytical likelihood. The energy resolution effect is incorporated with an analytical approach. [...]
CMS-NOTE-2024-009; CERN-CMS-NOTE-2024-009.- Geneva : CERN, 2024 - 14 p. Fulltext: PDF;
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4.
A Novel Method for Transverse Beam-Coupling Impedance Measurements in Particle Accelerator Devices Using the Bead-Pull Method / Antuono, Chiara (U. Rome La Sapienza (main) ; CERN) ; Sito, Leonardo (CERN ; Naples U.) ; Calzone, Eleonora (U. Rome La Sapienza (main) ; CERN) ; el Dali, D (CERN) ; Migliorati, Mauro (CERN ; U. Rome La Sapienza (main)) ; Mostacci, Andrea (CERN ; U. Rome La Sapienza (main)) ; Fienga, Francesco (CERN ; Naples U.) ; Marrazzo, Vincenzo Romano (CERN ; Naples U.) ; Breglio, Giovanni (CERN ; Naples U.) ; Rumolo, G (CERN) et al.
In high-energy particle accelerators, circulating particle beams with high intensity interact electromagnetically with their surroundings (i.e., metallic vacuum chambers of various geometries). These electromagnetic interactions, which are typically described through the concept of beam-coupling impedance, can represent a serious issue in terms of stability of the particle beam and heating on the accelerator structures. [...]
2024 - 9 p. - Published in : IEEE Trans. Instrum. Meas. 73 (2024) 8005209 Fulltext: PDF;
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5.
Performance of the ATLAS RPC detector and Level-1 muon barrel trigger with a new $\mathrm{CO_2}$-based gas mixture / Su, Shixiang (University of Science and Technology of China (CN))
Resistive Plate Chambers (RPCs) are used in the ATLAS experiment for trigger on muons in the barrel region. [...]
ATL-MUON-PROC-2024-018. - 2024 - 8.
Original Communication (restricted to ATLAS) - Full text
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6.
Study of cold nuclear matter effects in fixed-target collisions and charged hadron identification performance at the LHCb experiment / Okamura, Shinichi
The investigation of charged-particle production in hadronic collisions is crucial for under-standing strong interactions governed by Quantum Chromodynamics (QCD) [...]
2024 - 266.

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7.
New approaches for fast and efficient graph construction on CPU, GPU and heterogeneous architectures for the ATLAS event reconstruction / Collard, Christophe (Centre National de la Recherche Scientifique (FR)) /ATLAS Collaboration
Graph neural networks (GNN) have emerged as a cornerstone of ML-based reconstruction and analysis algorithms in particle physics. Many of the proposed algorithms are intended to be deployed close to the beginning of the data processing chain, e.g. [...]
ATL-SOFT-SLIDE-2024-549.- Geneva : CERN, 2024 - 1 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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8.
A simplified configuration for common algorithms for ATLAS analysis / Lambert, Joseph Earl (University of Victoria (CA)) ; Krumnack, Nils Erik (Iowa State University (US)) ; Martinez Outschoorn, Verena Ingrid (University of Massachusetts (US)) ; Russell, Heather (University of Victoria (CA)) ; Leight, William Axel (University of Massachusetts (US)) ; Maroun, Matthew Kenneth (University of Massachusetts (US)) /ATLAS Collaboration
In the ATLAS analysis model, users must interact with specialized algorithms to perform a variety of tasks on their physics objects including calibration, identification, and obtaining systematic uncertainties for simulated events. These algorithms have a wide variety of configurations, and often must be applied in specific orders. [...]
ATL-SOFT-SLIDE-2024-543.- Geneva : CERN, 2024 - 1 p. Fulltext: ATL-SOFT-SLIDE-2024-543 - PDF; CHEP_2024_Poster_ATLAS_CP_ALGS_portraitA0 - 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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9.
High Performance Graph Segmentation for ATLAS GNN Track Reconstruction / Murnane, Daniel Thomas (University of Copenhagen (DK)) ; Liu, Ryan (Lawrence Berkeley National Lab. (US)) ; Condren, Levi Harris Jaxon (University of California Irvine (US)) ; Vallier, Alexis (Centre National de la Recherche Scientifique (FR)) ; Whiteson, Daniel (University of California Irvine (US)) ; Lazar, Alina (Youngstown State University (US)) ; Ju, Xiangyang (Lawrence Berkeley National Lab. (US)) /ATLAS Collaboration
Graph neural networks and deep geometric learning have been successfully proven in the task of track reconstruction in recent years. The GNN4ITk project employs these techniques in the context of the ATLAS upgrade ITk detector to produce similar physics performance as traditional techniques, while scaling sub-quadratically. [...]
ATL-SOFT-SLIDE-2024-503.- Geneva : CERN, 2024 - 39 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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10.
Jet tagging performance in Run 3 PbPb collisions at 5.36 TeV in CMS
The identification of jets initiated by heavy-flavoured particles is a crucial tool in the study of the interaction of these particles with the medium formed after a collision of heavy ions. The algorithms used in the first lead-lead (PbPb) LHC runs relied on the identification of secondary vertices, and the measurement of the displacement and other properties of the tracks in the jets. [...]
CMS-DP-2024-088; CERN-CMS-DP-2024-088.- Geneva : CERN, 2024 - 14 p. Fulltext: PDF;
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