recognition - Resultados da pesquisa

Página principal > Resultados da pesquisa: recognition

Pesquisar colecções:

Ordenar por:	Display results:	Output format:

CERN Document Server	144 records found 1 - 10 jump to record:	Search took 0.58 seconds.

R&D; of the cluster finding algorithm for CMS iRPC detector / CMS Muon Collaboration
The Compact Muon Solenoid (CMS) experiment will undergo phase-II upgrade to enhance the capacity of detectors in the High-Luminosity Large Hadron Collider era. An important extension involves the installation of the Improved Resistive Plate Chambers (iRPC) in the most forward part of the endcap muon system. [...]
2024 - 12 p. - Published in : JINST 19 (2024) T12001

Registo detalhado - Registos similares

Tracking Studies for the Upgrade II of the LHCb Experiment / Hoffmann, Penelope (CERN)
Improving physics studies at LHCb through increased statistics necessitates a major upgrade of the LHCb detector, to be installed at the beginning of Long Shutdown 4. [...]
CERN-STUDENTS-Note-2024-135. - 2024
Access to fulltext

Registo detalhado - Registos similares

Upgrade of the first-level muon trigger for the ATLAS experiment at the HL-LHC / Cieri, Davide (Munich, Max Planck Inst.) /ATLAS Collaboration
The HL-LHC upgrade will significantly extend the collider’s physics reach with the increased luminosity, and it poses challenging requirements on the performance of the detector, accordingly. To exploit its full physics potential, more selective hardware triggers are required. [...]
2022

In : 15th Pisa Meeting on Advanced Detectors, La Biodola - Isola D'elba, Italy, 22 - 28 May 2022, pp.167941

Registo detalhado - Registos similares

Data Preparation And Optimization For Real Time Track Reconstruction On The ATLAS HTT PRM Board / Axiotis, Konstantinos (Universite de Geneve (CH)) /ATLAS Collaboration
Custom hardware boards for pattern recognition have been developed for the fast reconstruction of charged particle tracks at the ATLAS experiment for the High-Luminosity Large Hadron Colider (HL-LHC) upgrade. The Pattern Recognition Mezzanine (PRM), part of the Hardware Tracking for the Trigger (HTT) system, is one of the boards where track reconstruction is being performed using linearized algorithms in an Intel Stratix 10MX FPGA. [...]
ATL-DAQ-SLIDE-2023-542.- Geneva : CERN, 2023 - 33 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)

Registo detalhado - Registos similares

Connecting The Dots (CTD 2023) - 8th International Connecting The Dots Workshop CTD2023 10 - 13 Oct 2023 - Toulouse, Fr / Annovi, Alberto (ed.) (INFN Pisa); Calafiura, Paolo (ed.) (LBNL); Cerati, Giuseppe (ed.) (FNAL); De Cian, Michel (ed.) (EPFL); Danninger, Matthias (ed.) (SFU); Elsing, Markus (ed.) (CERN); Gaede, Frank (ed.) (DESY); Garcia, Jose E Garcia (ed.) (IFIC Valencia); Garcia-Sciveres, Maurice (ed.) (LBNL); Gligorov, Vladimir (ed.) (LPNHE) et al.
2023

Registo detalhado - Registos similares

Data Preparation And Optimization For Real Time Track Reconstruction On The ATLAS HTT PRM Board / Axiotis, Konstantinos (Geneva U. ; CERN) /ATLAS TDAQ Collaboration
Custom hardware boards for pattern recognition have been developed for the fast reconstruction of charged particle tracks at the ATLAS experiment for the High-Luminosity LHC upgrade. The Pattern Recognition Mezzanine (PRM), part of the Hardware Tracking for the Trigger system, is one of the boards where track fitting and track reconstruction is being performed using linearized algorithms in an Intel Stratix 10MX FPGA. [...]
2023 - 4 p. - Published in : 10.1109/MOCAST57943.2023.10176377
In : MOCAST 2023, Athens, Greece, 28 - 30 Jun 2023

Registo detalhado - Registos similares

The AM08 Associative Memory ASIC Design, Architecture and Evaluation methodology / ATLAS Collaboration
The Associative Memory (AM) ASIC reached its version 8 in 2020 when it was submitted for fabrication. [...]
ATL-DAQ-PROC-2022-022. - 2022. - 5 p.
Original Communication (restricted to ATLAS) - Full text

Registo detalhado - Registos similares

APPEC/ECFA/NuPECC Recognition of Individuals in Large Collaborations Report
APPEC/ECFA/NuPECC Recognition of Individuals in Large Collaborations Report
Plenary ECFA meeting ; 2022
English: PDF

Registo detalhado - Registos similares

Segmentation of EM showers for neutrino experiments with deep graph neural networks / Belavin, Vladislav (Higher Sch. of Economics, Moscow) ; Trofimova, Ekaterina (Skoltech ; Higher Sch. of Economics, Moscow) ; Ustyuzhanin, Andrey (Higher Sch. of Economics, Moscow)
We introduce a first-ever algorithm for the reconstruction of multiple showers from the data collected with electromagnetic (EM) sampling calorimeters. Such detectors are widely used in High Energy Physics to measure the energy and kinematics of in-going particles. [...]
arXiv:2104.02040.- 2021 - 29 p. - Published in : JINST 16 (2021) P12035 Fulltext: PDF;

Registo detalhado - Registos similares

10.

Corryvreckan: A Modular 4D Track Reconstruction and Analysis Software for Test Beam Data / Dannheim, Dominik (CERN) ; Dort, Katharina (Justus-Liebig-Universitaet Giessen (DE)) ; Huth, Lennart (Deutsches Elektronen-Synchrotron (DE)) ; Hynds, Daniel (Nikhef National institute for subatomic physics (NL)) ; Kremastiotis, Iraklis (KIT - Karlsruhe Institute of Technology (DE)) ; Kroeger, Jens (Ruprecht Karls Universitaet Heidelberg (DE)) ; Munker, Magdalena (CERN) ; Pitters, Florian Michael (Austrian Academy of Sciences (AT)) ; Schütze, Paul (DESY) ; Spannagel, Simon (DESY) et al.
Corryvreckan is a versatile, highly configurable software with a modular structure designed to reconstruct and analyse test beam and laboratory data. It caters to the needs of the test beam community by providing a flexible offline event building facility to combine detectors with different read-out schemes, with or without trigger information, and includes the possibility to correlate data from multiple devices based on timestamps. [...]
arXiv:2011.12730; CLICdp-Pub-2020-005; DESY-20-210.- Geneva : CERN, 2021-03-04 - 23 p. - Published in : JINST 16 (2021) P03008 Fulltext: CLICdp-Pub-2020-005 - PDF; 2011.12730 - PDF; Fulltext from publisher: PDF;

Registo detalhado - Registos similares

Interested in being notified about new results for this query?
Set up a personal email alert or subscribe to the RSS feed.

Haven't found what you were looking for? Try your search on other servers:
recognition em Amazon recognition em CERN EDMS recognition em CERN Intranet recognition em CiteSeer recognition em Google Books recognition em Google Scholar recognition em Google Web recognition em IEC	recognition em IHS recognition em INSPIRE recognition em ISO recognition em KISS Books/Journals recognition em KISS Preprints recognition em NEBIS recognition em SLAC Library Catalog recognition em Scirus

CERN Document Server

Access articles, reports and multimedia content in HEP

Main menu

CERN Accelerating science