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CERN Document Server 2,015 Datensätze gefunden  1 - 10nächsteEnde  gehen zum Datensatz: Die Suche hat 0.31 Sekunden gedauert. 
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Towards Machine-Learning Particle Flow with the ATLAS Detector at the LHC / Clissa, Luca (Universita e INFN, Bologna (IT)) ; Swiatlowski, Maximilian J (TRIUMF (CA)) ; Vivarelli, Iacopo (Universita e INFN, Bologna (IT)) ; Bohm, Jessica (TRIUMF (CA)) ; Jovanovic, Marko ; Himmens, Joshua Jon (TRIUMF (CA)) /ATLAS Collaboration
Particle flow reconstruction at colliders combines various detector subsystems (typically the calorimeter and tracker) to provide a combined event interpretation that utilizes the strength of each detector. The accurate association of redundant measurements of the same particle between detectors is the key challenge in this technique. [...]
ATL-SOFT-SLIDE-2024-507.- Geneva : CERN, 2024 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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Advanced machine-learning solutions in LHCb: operations and data analysis / Anderlini, Lucio (Universita e INFN, Firenze (IT))
LHCb-TALK-2018-238.- Geneva : CERN, 2018 Fulltext: PDF; In : Machine Learning in Science and Engineering
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Non-resonant HH searches: status and prospects / Valente, Marco (TRIUMF (CA)) /ATLAS Collaboration
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ATL-PHYS-SLIDE-2023-646.- Geneva : CERN, 2023 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : Higgs 2023, Beijing, Cn, 27 Nov - 2 Dec 2023
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STUDY OF FEASIBILITY AND USEFULNESS OF MACHINE LEARNING METHODS TO HELP IDENTIFYING RESIDUAL GAS COMPOSITION / Jenninger, Berthold (CERN) ; Fernando, Mateo (IDAL)
This report summarizes the outcome of the collaboration between CERN and Intelligent Data Analysis Laboratory (IDAL) [...]
CERN-ACC-NOTE-2020-0052. - 2018. - 16 p.
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Particle-identification techniques and performance at LHCb in Run 2 / Mikhail, Hushchyn (Yandex School of Data Analysis (RU)) ; Chekalina, Viktoriia (Yandex School of Data Analysis (RU))
One of the most challenging data analysis tasks of modern High Energy Physics experiments is the identification of particles. In this proceedings we review the new approaches used for particle identification at the LHCb experiment. [...]
LHCb-PROC-2018-016; CERN-LHCb-PROC-2018-016.- Geneva : CERN, 2019 - 2 p. - Published in : Nucl.Instrum.Meth.A 936 (2019) 568 Fulltext: PDF; Published fulltext: PDF;
In : Frontier Detectors for Frontier Physics: XIV Pisa Meeting on Advanced Detectors, La Biodola, Isola D'elba, Italy, 27 May - 2 Jun 2018, pp.568
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Advanced Machine-Learning Solutions in LHCb Operations and Data Analysis / Ratnikov, Fedor (Yandex School of Data Analysis (RU))
LHCb-TALK-2017-225.- Geneva : CERN, 2017 Fulltext: PDF;
In : DPF Meeting 2017, Batavia, Il, United States Of America, 31 Jul - 4 Aug 2017
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Di-Higgs results - twice the Higgs, twice the fun / Valente, Marco (TRIUMF (CA)) /ATLAS Collaboration
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ATL-PHYS-SLIDE-2021-650.- Geneva : CERN, 2021 Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : Higgs 2021, Online, Online, 18 - 22 Oct 2021
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Probing the nature of electroweak symmetry breaking with Higgs boson pair-production at ATLAS / Swiatlowski, Maximilian J (TRIUMF (CA)) /ATLAS Collaboration
Talk for LLWI 2024..
ATL-PHYS-SLIDE-2024-015.- Geneva : CERN, 2024 - 25 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : Lake Louise Winter Institute 2024, Lake Louise, Alberta, Ca, 18 - 23 Feb 2024
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Progress report : UFO Dynamics studies / Belanger, Philippe (Universite de Montreal (CA))
(From the collaboration on UFO studies between TRIUMF and CERN HL-LHC)
CERN-ACC-NOTE-2020-0037. - 2020.
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Progress report : UFO Dynamics studies / Belanger, Philippe (Universite de Montreal (CA))
(From the collaboration on UFO studies between TRIUMF and CERN HL-LHC)
CERN-ACC-NOTE-2020-0036. - 2019.
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