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CERN Document Server 找到 670 筆記錄  1 - 10下一個最後  跳到記錄: 檢索需時 0.64 秒. 
1.
Improved reconstruction of highly boosted $\tau$-lepton pairs in the $\tau\tau\rightarrow(\mu\nu_{\mu}\nu_{\tau})({hadrons}+\nu_{\tau})$ decay channels with the ATLAS detector / ATLAS Collaboration
This paper presents a new $\tau$-lepton reconstruction and identification procedure at the ATLAS detector at the Large Hadron Collider, which leads to significantly improved performance in the case of physics processes where a highly boosted pair of $\tau$-leptons is produced and one $\tau$-lepton decays into a muon and two neutrinos ($\tau_{\mu}$), and the other decays into hadrons and one neutrino ($\tau_{had}$). [...]
arXiv:2412.14937 ; CERN-EP-2024-289. - 2024 - 44.
Fulltext - Previous draft version - Fulltext
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2.
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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3.
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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4.
Improving Computational Performance of ATLAS GNN Track Reconstruction Pipeline / ATLAS Collaboration
Track reconstruction is an essential element of modern and future collider experiments, including the ATLAS detector. The HL-LHC upgrade of the ATLAS detector brings an unprecedented tracking reconstruction challenge, both in terms of the large number of silicon hit cluster readouts and the throughput required for budget-constrained track reconstruction. [...]
ATL-SOFT-SLIDE-2024-499.- Geneva : CERN, 2024 - 18 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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5.
ML4Jets2024 - ML4Jets   4 - 8 Nov 2024  - Paris, Fr  .-
2024
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6.
Towards a GPU compatible electron seeding algorithm /CMS Collaboration
This note presents first results on the development of a parallelizable algorithm for building tracking seeds in the reconstruction of electrons..
CMS-DP-2024-081; CERN-CMS-DP-2024-081.- Geneva : CERN, 2024 - 7 p. Fulltext: PDF;
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7.
Computational Performance of the ATLAS ITk GNN Track Reconstruction Pipeline
The ATLAS event reconstruction chain is projected to increase dramatically in computational cost with the upgrade to the HL-LHC. [...]
ATL-PHYS-PUB-2024-018. - 2024 - 9.
Original Communication (restricted to ATLAS) - Full text
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8.
Detector layout optimization for electron-track reconstruction at FCC-ee / Gianoli, Giulia (Universita & INFN, Milano-Bicocca (IT))
The precise reconstruction of electrons is a vital ingredient to the FCC-ee physics programme, but it suffers from their high material interaction probability. [...]
CERN-STUDENTS-Note-2024-157. - 2024
Access to fulltext
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9.
CMS track reconstruction performance and tracking developments during Run 3 / Bruschini, Davide (INFN, Pisa ; Pisa, Scuola Normale Superiore) /CMS Collaboration
The efficient and precise reconstruction of charged particle tracks is crucial for the overall performance of the CMS experiment. Prior to the beginning of the Run 3 at the LHC in 2022, the first layer of the Tracker Barrel Pixel subdetector was replaced in order to cope with the high pileup environment, and significant upgrades were made to the track reconstruction algorithms. [...]
CMS-CR-2024-176.- Geneva : CERN, 2024 - 7 p. Fulltext: PDF;
In : 42nd International Conference on High Energy Physics (ICHEP 2024), Prague, Czech Republic, 18 - 24 Jul 2024
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10.
CSC trigger primitive and segment efficiencies in 2024 /CMS Collaboration
This note contains Tag $\&$ Probe efficiency measurements for the CMS endcap muon CSCs from 2024 proton proton collisions data at 13.6 TeV. There is one plot for the tigger primitive efficiencies, and one for the reconstructed segment efficiencies..
CMS-DP-2024-069; CERN-CMS-DP-2024-069.- Geneva : CERN, 2024 - 7 p. Fulltext: PDF;
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