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Track reconstruction at LHC as a collaborative data challenge use case with RAMP
Charged particle track reconstruction is a major component of data-processing in high-energy physics experiments such as those at the Large Hadron Collider (LHC), and is foreseen to become more and more challenging with higher collision rates. A simplified two-dimensional version of the track recons...
| Autores principales: | , , , , , , , , , , , , , , , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2017
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1051/epjconf/201715000015 http://cds.cern.ch/record/2280554 |
| _version_ | 1780955601545723904 |
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| author | Amrouche, Sabrina Braun, Nils Calafiura, Paolo Farrell, Steven Gemmler, Jochen Germain, Cécile Gligorov, Vladimir Vava Golling, Tobias Gray, Heather Guyon, Isabelle Hushchyn, Mikhail Innocente, Vincenzo Kégl, Balázs Neuhaus, Sara Rousseau, David Salzburger, Andreas Ustyuzhanin, Andrei Vlimant, Jean-Roch Wessel, Christian Yilmaz, Yetkin |
| author_facet | Amrouche, Sabrina Braun, Nils Calafiura, Paolo Farrell, Steven Gemmler, Jochen Germain, Cécile Gligorov, Vladimir Vava Golling, Tobias Gray, Heather Guyon, Isabelle Hushchyn, Mikhail Innocente, Vincenzo Kégl, Balázs Neuhaus, Sara Rousseau, David Salzburger, Andreas Ustyuzhanin, Andrei Vlimant, Jean-Roch Wessel, Christian Yilmaz, Yetkin |
| author_sort | Amrouche, Sabrina |
| collection | CERN |
| description | Charged particle track reconstruction is a major component of data-processing in high-energy physics experiments such as those at the Large Hadron Collider (LHC), and is foreseen to become more and more challenging with higher collision rates. A simplified two-dimensional version of the track reconstruction problem is set up on a collaborative platform, RAMP, in order for the developers to prototype and test new ideas. A small-scale competition was held during the Connecting The Dots / Intelligent Trackers 2017 (CTDWIT 2017) workshop. Despite the short time scale, a number of different approaches have been developed and compared along a single score metric, which was kept generic enough to accommodate a summarized performance in terms of both efficiency and fake rates. |
| id | oai-inspirehep.net-1616034 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2017 |
| record_format | invenio |
| spelling | oai-inspirehep.net-16160342019-09-30T06:29:59Zdoi:10.1051/epjconf/201715000015http://cds.cern.ch/record/2280554engAmrouche, SabrinaBraun, NilsCalafiura, PaoloFarrell, StevenGemmler, JochenGermain, CécileGligorov, Vladimir VavaGolling, TobiasGray, HeatherGuyon, IsabelleHushchyn, MikhailInnocente, VincenzoKégl, BalázsNeuhaus, SaraRousseau, DavidSalzburger, AndreasUstyuzhanin, AndreiVlimant, Jean-RochWessel, ChristianYilmaz, YetkinTrack reconstruction at LHC as a collaborative data challenge use case with RAMPDetectors and Experimental TechniquesParticle Physics - ExperimentCharged particle track reconstruction is a major component of data-processing in high-energy physics experiments such as those at the Large Hadron Collider (LHC), and is foreseen to become more and more challenging with higher collision rates. A simplified two-dimensional version of the track reconstruction problem is set up on a collaborative platform, RAMP, in order for the developers to prototype and test new ideas. A small-scale competition was held during the Connecting The Dots / Intelligent Trackers 2017 (CTDWIT 2017) workshop. Despite the short time scale, a number of different approaches have been developed and compared along a single score metric, which was kept generic enough to accommodate a summarized performance in terms of both efficiency and fake rates.oai:inspirehep.net:16160342017 |
| spellingShingle | Detectors and Experimental Techniques Particle Physics - Experiment Amrouche, Sabrina Braun, Nils Calafiura, Paolo Farrell, Steven Gemmler, Jochen Germain, Cécile Gligorov, Vladimir Vava Golling, Tobias Gray, Heather Guyon, Isabelle Hushchyn, Mikhail Innocente, Vincenzo Kégl, Balázs Neuhaus, Sara Rousseau, David Salzburger, Andreas Ustyuzhanin, Andrei Vlimant, Jean-Roch Wessel, Christian Yilmaz, Yetkin Track reconstruction at LHC as a collaborative data challenge use case with RAMP |
| title | Track reconstruction at LHC as a collaborative data challenge use case with RAMP |
| title_full | Track reconstruction at LHC as a collaborative data challenge use case with RAMP |
| title_fullStr | Track reconstruction at LHC as a collaborative data challenge use case with RAMP |
| title_full_unstemmed | Track reconstruction at LHC as a collaborative data challenge use case with RAMP |
| title_short | Track reconstruction at LHC as a collaborative data challenge use case with RAMP |
| title_sort | track reconstruction at lhc as a collaborative data challenge use case with ramp |
| topic | Detectors and Experimental Techniques Particle Physics - Experiment |
| url | https://dx.doi.org/10.1051/epjconf/201715000015 http://cds.cern.ch/record/2280554 |
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