EPJ Web Conf.
Volume 214, 201923rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|Number of page(s)||7|
|Section||T1 - Online computing|
|Published online||17 September 2019|
Event reconstruction of free-streaming data for the RICH detector in the CBM experiment
GSI Helmholtzzentrum für Schwerionenforschung GmbH
2 Department of Physics, University of Wuppertal, D-42097, Wuppertal Germany
3 Institute of Physics II and Institute of Applied Physics, Justus Liebig University Giessen, D-35392, Giessen, Germany
4 National Research Centre "Kurchatov Institute" B.P.Konstantinov Petersburg Nuclear Physics Institute 188300, Gatchina, Russia
5 National Research Nuclear University MEPhI (Moscow Engineering Physics Institute) 115409 Moscow, Russia
6 Institut für Kernphysik, Göthe University Frankfurt D-60438 Frankfurt am Main Germany
7 Laboratory of Information Technologies, Joint Institute for Nuclear research (JINR-LIT) Dubna Russia
8 St. Petersburg Polytechnic University (SPbPU), St. Petersburg Russia
* e-mail: firstname.lastname@example.org
Published online: 17 September 2019
The Compressed Baryonic Matter (CBM) experiment is a dedicated heavy ion collision experiment at the FAIR facility. It will be one of the first HEP experiments which works in a triggerless mode: data received in the DAQ from the detectors will not be associated with events by a hardware trigger anymore. All raw data within a giventime period will be collected continuously in containers, so-called time-slices. The task of the reconstruction algorithms is to create events out of this raw data stream. In this contribution, the optimization of the reconstruction software in the RICH detector to the free-streaming data flow is presented. The implementation of ring reconstruction algorithms which use time measurements of the hits as an additional parameter is discussed.
© The Authors, published by EDP Sciences, 2019
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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