Online Event Reconstruction in the CBM Experiment at FAIR
Targeting for rare observables, the CBM experiment will operate at high interaction rates of up to 10 MHz, which is unprecedented in heavy-ion experiments so far. It requires a novel free-streaming readout system and a new concept of data processing. The huge data rates of the CBM experiment will be...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2018-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://doi.org/10.1051/epjconf/201817301002 |
| _version_ | 1819139271734329344 |
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| author | Akishina Valentina Kisel Ivan |
| author_facet | Akishina Valentina Kisel Ivan |
| author_sort | Akishina Valentina |
| collection | DOAJ |
| description | Targeting for rare observables, the CBM experiment will operate at high interaction rates of up to 10 MHz, which is unprecedented in heavy-ion experiments so far. It requires a novel free-streaming readout system and a new concept of data processing. The huge data rates of the CBM experiment will be reduced online to the recordable rate before saving the data to the mass storage. Full collision reconstruction and selection will be performed online in a dedicated processor farm. In order to make an efficient event selection online a clean sample of particles has to be provided by the reconstruction package called First Level Event Selection (FLES).
The FLES reconstruction and selection package consists of several modules: track finding, track fitting, event building, short-lived particles finding, and event selection. Since detector measurements contain also time information, the event building is done at all stages of the reconstruction process. The input data are distributed within the FLES farm in a form of time-slices. A time-slice is reconstructed in parallel between processor cores. After all tracks of the whole time-slice are found and fitted, they are collected into clusters of tracks originated from common primary vertices, which then are fitted, thus identifying the interaction points. Secondary tracks are associated with primary vertices according to their estimated production time. After that short-lived particles are found and the full event building process is finished. The last stage of the FLES package is a selection of events according to the requested trigger signatures. The event reconstruction procedure and the results of its application to simulated collisions in the CBM detector setup are presented and discussed in detail. |
| first_indexed | 2024-12-22T11:20:01Z |
| format | Article |
| id | doaj.art-8aeaf0d8730e45109beeb2e57bd6265f |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-12-22T11:20:01Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-8aeaf0d8730e45109beeb2e57bd6265f2022-12-21T18:27:54ZengEDP SciencesEPJ Web of Conferences2100-014X2018-01-011730100210.1051/epjconf/201817301002epjconf_mmcp2018_01002Online Event Reconstruction in the CBM Experiment at FAIRAkishina ValentinaKisel IvanTargeting for rare observables, the CBM experiment will operate at high interaction rates of up to 10 MHz, which is unprecedented in heavy-ion experiments so far. It requires a novel free-streaming readout system and a new concept of data processing. The huge data rates of the CBM experiment will be reduced online to the recordable rate before saving the data to the mass storage. Full collision reconstruction and selection will be performed online in a dedicated processor farm. In order to make an efficient event selection online a clean sample of particles has to be provided by the reconstruction package called First Level Event Selection (FLES). The FLES reconstruction and selection package consists of several modules: track finding, track fitting, event building, short-lived particles finding, and event selection. Since detector measurements contain also time information, the event building is done at all stages of the reconstruction process. The input data are distributed within the FLES farm in a form of time-slices. A time-slice is reconstructed in parallel between processor cores. After all tracks of the whole time-slice are found and fitted, they are collected into clusters of tracks originated from common primary vertices, which then are fitted, thus identifying the interaction points. Secondary tracks are associated with primary vertices according to their estimated production time. After that short-lived particles are found and the full event building process is finished. The last stage of the FLES package is a selection of events according to the requested trigger signatures. The event reconstruction procedure and the results of its application to simulated collisions in the CBM detector setup are presented and discussed in detail.https://doi.org/10.1051/epjconf/201817301002 |
| spellingShingle | Akishina Valentina Kisel Ivan Online Event Reconstruction in the CBM Experiment at FAIR EPJ Web of Conferences |
| title | Online Event Reconstruction in the CBM Experiment at FAIR |
| title_full | Online Event Reconstruction in the CBM Experiment at FAIR |
| title_fullStr | Online Event Reconstruction in the CBM Experiment at FAIR |
| title_full_unstemmed | Online Event Reconstruction in the CBM Experiment at FAIR |
| title_short | Online Event Reconstruction in the CBM Experiment at FAIR |
| title_sort | online event reconstruction in the cbm experiment at fair |
| url | https://doi.org/10.1051/epjconf/201817301002 |
| work_keys_str_mv | AT akishinavalentina onlineeventreconstructioninthecbmexperimentatfair AT kiselivan onlineeventreconstructioninthecbmexperimentatfair |