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Tracking at LHC as a collaborative data challenge use case with RAMP
Charged particle tracking has been a major component of data-processing in high-energy physics experiments such as the Large Hadron Collider (LHC), and is fore- seen to become more and more challenging. There are many ways to perform the tracking task; a collaborative platform, RAMP, has been set up...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | info:eu-repo/semantics/article |
Lenguaje: | eng |
Publicado: |
2017
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2280929 |
_version_ | 1780955547652063232 |
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author | Amrouche, Sabrina Braun, Nils Calafiura, Paolo Farrell, Steven Gammler, Jochen Germain, Cécile Gligorov, Vladimir Vava Golling, Tobias Grasland, Hadrien 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 Gammler, Jochen Germain, Cécile Gligorov, Vladimir Vava Golling, Tobias Grasland, Hadrien 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 tracking has been a major component of data-processing in high-energy physics experiments such as the Large Hadron Collider (LHC), and is fore- seen to become more and more challenging. There are many ways to perform the tracking task; a collaborative platform, RAMP, has been set up so that developers can create algo- rithms to solve a simplified 2D tracking problems. A small scale competition was held during Connecting The Dots / Intelligent Trackers 2017 (CTDWIT 2017) workshop. De- spite the short time scale, a number of different approaches have been exercised. The scoring algorithm which has been developed, was shown to be robust both during the competition and with stress tests performed after the competition. |
format | info:eu-repo/semantics/article |
id | cern-2280929 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2017 |
record_format | invenio |
spelling | cern-22809292019-09-30T06:29:59Z http://cds.cern.ch/record/2280929 eng Amrouche, Sabrina Braun, Nils Calafiura, Paolo Farrell, Steven Gammler, Jochen Germain, Cécile Gligorov, Vladimir Vava Golling, Tobias Grasland, Hadrien 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 Tracking at LHC as a collaborative data challenge use case with RAMP Detectors and Experimental Techniques 3: Advanced software Charged particle tracking has been a major component of data-processing in high-energy physics experiments such as the Large Hadron Collider (LHC), and is fore- seen to become more and more challenging. There are many ways to perform the tracking task; a collaborative platform, RAMP, has been set up so that developers can create algo- rithms to solve a simplified 2D tracking problems. A small scale competition was held during Connecting The Dots / Intelligent Trackers 2017 (CTDWIT 2017) workshop. De- spite the short time scale, a number of different approaches have been exercised. The scoring algorithm which has been developed, was shown to be robust both during the competition and with stress tests performed after the competition. info:eu-repo/grantAgreement/EC/FP7/654168 info:eu-repo/semantics/openAccess Education Level info:eu-repo/semantics/article http://cds.cern.ch/record/2280929 2017 |
spellingShingle | Detectors and Experimental Techniques 3: Advanced software Amrouche, Sabrina Braun, Nils Calafiura, Paolo Farrell, Steven Gammler, Jochen Germain, Cécile Gligorov, Vladimir Vava Golling, Tobias Grasland, Hadrien 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 Tracking at LHC as a collaborative data challenge use case with RAMP |
title | Tracking at LHC as a collaborative data challenge use case with RAMP |
title_full | Tracking at LHC as a collaborative data challenge use case with RAMP |
title_fullStr | Tracking at LHC as a collaborative data challenge use case with RAMP |
title_full_unstemmed | Tracking at LHC as a collaborative data challenge use case with RAMP |
title_short | Tracking at LHC as a collaborative data challenge use case with RAMP |
title_sort | tracking at lhc as a collaborative data challenge use case with ramp |
topic | Detectors and Experimental Techniques 3: Advanced software |
url | http://cds.cern.ch/record/2280929 http://cds.cern.ch/record/2280929 |
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