Online and Offline Pattern Recognition in PANDA
PANDA is one of the four experiments that will run at the new facility FAIR that is being built in Darmstadt, Germany. It is a fixed target experiment: a beam of antiprotons collides on a jet proton target (the maximum center of mass energy is 5.46 GeV). The interaction rate at the startup will be 2...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2016-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | http://dx.doi.org/10.1051/epjconf/201612700004 |
| _version_ | 1818361403026702336 |
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| author | Boca Gianluigi |
| author_facet | Boca Gianluigi |
| author_sort | Boca Gianluigi |
| collection | DOAJ |
| description | PANDA is one of the four experiments that will run at the new facility FAIR that is being built in Darmstadt, Germany. It is a fixed target experiment: a beam of antiprotons collides on a jet proton target (the maximum center of mass energy is 5.46 GeV). The interaction rate at the startup will be 2MHz with the goal of reaching 20MHz at full luminosity. The beam of antiprotons will be essentially continuous. PANDA will have NO hardware trigger but only a software trigger, to allow for maximum flexibility in the physics program. All those characteristics are severe challenges for the reconstruction code that 1) must be fast, since it has to be validated up to 20MHz interaction rate; 2) must be able to reject fake tracks caused by the remnant hits, belonging to previous or later events in some slow detectors, for example the straw tubes in the central region. The Pattern Recognition (PR) of PANDA will have to run both online to achieve a first fast selection, and offline, at lower rate, for a more refined selection. In PANDA the PR code is continuously evolving; this contribution shows the present status. I will give an overview of three examples of PR following different strategies and/or implemented on different hardware (FPGA, GPUs, CPUs) and, when available, I will report the performances. |
| first_indexed | 2024-12-13T21:16:07Z |
| format | Article |
| id | doaj.art-06741a2d497f44f59e9314a2862691e7 |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-12-13T21:16:07Z |
| publishDate | 2016-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-06741a2d497f44f59e9314a2862691e72022-12-21T23:31:14ZengEDP SciencesEPJ Web of Conferences2100-014X2016-01-011270000410.1051/epjconf/201612700004epjconf_dots2016_00004Online and Offline Pattern Recognition in PANDABoca Gianluigi0Dipartimento di Fisica and INFNPANDA is one of the four experiments that will run at the new facility FAIR that is being built in Darmstadt, Germany. It is a fixed target experiment: a beam of antiprotons collides on a jet proton target (the maximum center of mass energy is 5.46 GeV). The interaction rate at the startup will be 2MHz with the goal of reaching 20MHz at full luminosity. The beam of antiprotons will be essentially continuous. PANDA will have NO hardware trigger but only a software trigger, to allow for maximum flexibility in the physics program. All those characteristics are severe challenges for the reconstruction code that 1) must be fast, since it has to be validated up to 20MHz interaction rate; 2) must be able to reject fake tracks caused by the remnant hits, belonging to previous or later events in some slow detectors, for example the straw tubes in the central region. The Pattern Recognition (PR) of PANDA will have to run both online to achieve a first fast selection, and offline, at lower rate, for a more refined selection. In PANDA the PR code is continuously evolving; this contribution shows the present status. I will give an overview of three examples of PR following different strategies and/or implemented on different hardware (FPGA, GPUs, CPUs) and, when available, I will report the performances.http://dx.doi.org/10.1051/epjconf/201612700004 |
| spellingShingle | Boca Gianluigi Online and Offline Pattern Recognition in PANDA EPJ Web of Conferences |
| title | Online and Offline Pattern Recognition in PANDA |
| title_full | Online and Offline Pattern Recognition in PANDA |
| title_fullStr | Online and Offline Pattern Recognition in PANDA |
| title_full_unstemmed | Online and Offline Pattern Recognition in PANDA |
| title_short | Online and Offline Pattern Recognition in PANDA |
| title_sort | online and offline pattern recognition in panda |
| url | http://dx.doi.org/10.1051/epjconf/201612700004 |
| work_keys_str_mv | AT bocagianluigi onlineandofflinepatternrecognitioninpanda |