| Issue |
EPJ Web of Conferences
Volume 108, 2016
Mathematical Modeling and Computational Physics (MMCP 2015)
|
|
|---|---|---|
| Article Number | 01006 | |
| Number of page(s) | 12 | |
| Section | Plenary and Invited Lectures | |
| DOI | https://doi.org/10.1051/epjconf/201610801006 | |
| Published online | 09 February 2016 | |
https://doi.org/10.1051/epjconf/201610801006
New Approaches for Data Reconstruction and Analysis in the CBM Experiment
1 Goethe University, Theodor-W.-Adorno-Platz 1, Frankfurt am Main, 60323, Germany
2 FIAS Frankfurt Institute for Advanced Studies, Ruth-Moufang-Str. 1, Frankfurt am Main, 60438, Germany
3 GSI Helmholtz Center for Heavy Ion Research, Planckstr. 1, Darmstadt, 64291, Germany
a e-mail: I.Kisel@compeng.uni-frankfurt.de
Published online: 9 February 2016
The future heavy-ion experiment CBM (FAIR/GSI, Darmstadt, Germany) will focus on measurement of very rare probes at interaction rates up to 10 MHz with data flow of up to 1 TB/s. The beam will provide free stream of beam particles without bunch structure. That requires full online event reconstruction and selection not only in space, but also in time, so-called 4D event building and selection.
The FLES (First-Level Event Selection) reconstruction and selection package consists of several modules: track finding, track fitting, short-lived particles finding, event building and event selection. A time-slice is reconstructed in parallel between cores within a same CPU, thus minimizing the communication between CPUs. After all tracks are found and fitted in 4D, they are collected into clusters of tracks originated from common primary vertices, which then are fitted, thus identifying 4D interaction points registered within the time-slice. 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 the selection of events according to the requested trigger signatures.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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