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CERN Document Server 找到 269 笔记录  1 - 10下一个最後  跳到记录: 检索需时 0.57 秒. 
1.
Modernizing ATLAS PanDA for a sustainable multi-experiment future / ATLAS Collaboration
In early 2024, ATLAS undertook an architectural review to evaluate the functionalities of its current components within the workflow and workload management ecosystem. Pivotal to the review was the assessment of the Production and Distributed Analysis (PanDA) system, which plays a vital role in the overall infrastructure. [...]
ATL-SOFT-SLIDE-2024-537.- Geneva : CERN, 2024 - 10 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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2.
A Function-as-a-Task Workflow Management Approach with PanDA and iDDS / ATLAS Collaboration
The growing complexity of high energy physics analysis often involves running various distinct applications. [...]
ATL-SOFT-PROC-2024-001. - 2024. - 7 p.
Original Communication (restricted to ATLAS) - Full text
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3.
A Function-as-a-Task Workflow Management Approach with PanDA and iDDS / ATLAS Collaboration
The growing complexity of high energy physics analysis often involves running a large number of different tools. This demands a multi-step data processing approach, with each step requiring different resources and carrying dependencies on preceding steps. [...]
ATL-SOFT-SLIDE-2024-037.- Geneva : CERN, 2024 - 21 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 22nd International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Stony Brook, Us, 11 - 15 Mar 2024
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4.
BigPanDA monitoring system evolution in the ATLAS experiment / Korchuganova, Tatiana (University of Pittsburgh (US)) ; Klimentov, Alexei (Brookhaven National Laboratory (US)) ; Alekseev, Aleksandr (University of Texas at Arlington (UTA)) ; Wenaus, Torre (Brookhaven National Laboratory (US)) ; Yang, Zhaoyu (Brookhaven National Laboratory (US))
Monitoring services play a crucial role in the day-to-day operation of distributed computing systems. [...]
ATL-SOFT-PROC-2023-034. - 2024 - 8.
Original Communication (restricted to ATLAS) - Full text
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5.
Utilizing Distributed Heterogeneous Computing with PanDA in ATLAS / ATLAS Collaboration
In recent years, advanced and complex analysis workflows have gained increasing importance in the ATLAS experiment at CERN, one of the large scientific experiments at LHC. [...]
ATL-SOFT-PROC-2023-022. - 2024 - 8.
Original Communication (restricted to ATLAS) - Full text
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6.
Distributed Machine Learning Workflow with PanDA and iDDS in LHC ATLAS / ATLAS Collaboration
Machine Learning (ML) has become one of the important tools for High Energy Physics analysis. [...]
ATL-SOFT-PROC-2023-010. - 2024 - 6.
Original Communication (restricted to ATLAS) - Full text
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7.
Utilizing Distributed Heterogeneous Computing with PanDA in ATLAS / ATLAS Collaboration
In recent years, advanced and complex analysis workflows have gained increasing importance in the ATLAS experiment at CERN, one of the large scientific experiments at the Large Hadron Collider (LHC). Support for such workflows has allowed users to exploit remote computing resources and service providers distributed worldwide, overcoming limitations on local resources and services. [...]
ATL-SOFT-SLIDE-2023-156.- Geneva : CERN, 2023 - 14 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023
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8.
Distributed Machine Learning with PanDA and iDDS in LHC ATLAS / ATLAS Collaboration
Machine learning has become one of the important tools for High Energy Physics analysis. As the size of the dataset increases at the Large Hadron Collider (LHC), and at the same time the search spaces become bigger and bigger in order to exploit the physics potentials, more and more computing resources are required for processing these machine learning tasks. [...]
ATL-SOFT-SLIDE-2023-128.- Geneva : CERN, 2023 - 12 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
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9.
Muon reconstruction efficiency and momentum resolution of the ATLAS experiment in proton–proton collisions at $\sqrt{s}=7$ TeV in 2010 / ATLAS Collaboration
This paper presents a study of the performance of the muon reconstruction in the analysis of proton--proton collisions at $\sqrt{s}=7$ TeV at the LHC, recorded by the ATLAS detector in 2010. This performance is described in terms of reconstruction and isolation efficiencies and momentum resolutions for different classes of reconstructed muons. [...]
arXiv:1404.4562; CERN-PH-EP-2013-154; CERN-PH-EP-2013-154.- Geneva : CERN, 2014-09-16 - 32 p. - Published in : Eur. Phys. J. C 74 (2014) 3034 Article from SCOAP3: scoap3-fulltext - PDF; scoap - PDF; Fulltext: PDF; Springer Open Access article: PDF; External links: Previous draft version; Preprint
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10.
The differential production cross section of the $\phi$(1020) meson in $\sqrt{s}$ = 7 TeV pp collisions measured with the ATLAS Detector / ATLAS Collaboration
A measurement is presented of the $\phi ➝ K^+K^−$ production cross section at √s = 7 TeV using pp collision data corresponding to an integrated luminosity of 383 μb$^{−1}$ collected with the ATLAS experiment at the LHC. Selection of $\phi$(1020) mesons is based on the identification of charged kaons by their energy loss in the pixel detector. [...]
arXiv:1402.6162; CERN-PH-EP-2012-269; CERN-PH-EP-2012-269.- Geneva : CERN, 2014-07-01 - 26 p. - Published in : Eur. Phys. J. C (2014) 74:2895 Article from SCOAP3: scoap3-fulltext - PDF; scoap - PDF; Fulltext: PDF; Springer Open Access article: PDF; External link: Rivet analyses reference
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CERN Document Server : 找到 269 笔记录   1 - 10下一个最後  跳到记录:
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