| Published Articles | |
| Report number | AIDA-2020-CONF-2017-002 |
| Title | Tracking at LHC as a collaborative data challenge use case with RAMP |
| Author(s) | Amrouche, Sabrina (University of Geneva, Switzerland) ; Braun, Nils (Karlsruhe Institute of Technology, Germany) ; Calafiura, Paolo (Lawrence Berkeley National Laboratory, CA, USA) ; Farrell, Steven (Lawrence Berkeley National Laboratory, CA, USA) ; Gammler, Jochen (Karlsruhe Institute of Technology, Germany) ; Germain, Cécile (LAL and LRI, Orsay, France) ; Gligorov, Vladimir Vava (LPNHE, Paris, France) ; Golling, Tobias (University of Geneva, Switzerland) ; Grasland, Hadrien (LAL, Univ. Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, Orsay, France) ; Gray, Heather (Lawrence Berkeley National Laboratory, CA, USA) ; Guyon, Isabelle (LRI and Université Paris-Saclay, France) ; Hushchyn, Mikhail (Yandex School of Data Analysis (YSDA), Moscow, Russia) ; Innocente, Vincenzo (CERN) ; Kégl, Balázs (LAL, Univ. Paris-Sud, CNRS/IN2P3 and Center for Data Science, Université Paris-Saclay, Orsay, France) ; Neuhaus, Sara (Max Planck Institute for Physics, Munich, Germany) ; Rousseau, David (LAL, Univ. Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, Orsay, France) ; Salzburger, Andreas (CERN) ; Ustyuzhanin, Andrei (Yandex School of Data Analysis (YSDA) and NRU Higher School of Economics (HSE), Moscow, Russia) ; Vlimant, Jean-Roch (California Institute of Technology, CA, USA) ; Wessel, Christian (University of Bonn, Germany) ; Yilmaz, Yetkin (LAL, Univ. Paris-Sud, CNRS/IN2P3 and Center for Data Science Université, Université Paris-Saclay, Orsay, France) |
| Publication | 2017 |
| Imprint | 2017-08-08 |
| In: | Connecting The Dots / Intelligent Trackers 2017, Orsay, France, 6 - 9 Mar 2017 |
| Subject category | Detectors and Experimental Techniques ; 3: Advanced software |
| Abstract | 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. |
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Записът е създаден на 2017-08-25, последна промяна на 2017-08-28
