4D Cellular Automaton Track Finder in the CBM Experiment

The CBM experiment (FAIR/GSI, Darmstadt, Germany) will focus on the measurement of rare probes at interaction rates up to 10MHz with data flow of up to 1 TB/s. It requires a novel read-out and data-acquisition concept with self-triggered electronics and free-streaming data. In this case resolving di...

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Main Authors: Akishina Valentina, Kisel Ivan
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:EPJ Web of Conferences
Online Access:http://dx.doi.org/10.1051/epjconf/201612700003
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author Akishina Valentina
Kisel Ivan
author_facet Akishina Valentina
Kisel Ivan
author_sort Akishina Valentina
collection DOAJ
description The CBM experiment (FAIR/GSI, Darmstadt, Germany) will focus on the measurement of rare probes at interaction rates up to 10MHz with data flow of up to 1 TB/s. It requires a novel read-out and data-acquisition concept with self-triggered electronics and free-streaming data. In this case resolving different collisions is a non-trivial task and event building must be performed in software online. That requires full online event reconstruction and selection not only in space, but also in time, so-called 4D event building and selection. This is a task of the First-Level Event Selection (FLES). The FLES reconstruction and selection package consists of several modules: track finding, track fitting, short-lived particles finding, event building and event selection. The Cellular Automaton (CA) track finder algorithm was adapted towards time-based reconstruction. In this article, we describe in detail the modification done to the algorithm, as well as the performance of the developed time-based CA approach.
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spelling doaj.art-7f1b3d912c654b9fa463e2fcb4d40f402022-12-21T22:08:24ZengEDP SciencesEPJ Web of Conferences2100-014X2016-01-011270000310.1051/epjconf/201612700003epjconf_dots2016_000034D Cellular Automaton Track Finder in the CBM ExperimentAkishina ValentinaKisel IvanThe CBM experiment (FAIR/GSI, Darmstadt, Germany) will focus on the measurement of rare probes at interaction rates up to 10MHz with data flow of up to 1 TB/s. It requires a novel read-out and data-acquisition concept with self-triggered electronics and free-streaming data. In this case resolving different collisions is a non-trivial task and event building must be performed in software online. That requires full online event reconstruction and selection not only in space, but also in time, so-called 4D event building and selection. This is a task of the First-Level Event Selection (FLES). The FLES reconstruction and selection package consists of several modules: track finding, track fitting, short-lived particles finding, event building and event selection. The Cellular Automaton (CA) track finder algorithm was adapted towards time-based reconstruction. In this article, we describe in detail the modification done to the algorithm, as well as the performance of the developed time-based CA approach.http://dx.doi.org/10.1051/epjconf/201612700003
spellingShingle Akishina Valentina
Kisel Ivan
4D Cellular Automaton Track Finder in the CBM Experiment
EPJ Web of Conferences
title 4D Cellular Automaton Track Finder in the CBM Experiment
title_full 4D Cellular Automaton Track Finder in the CBM Experiment
title_fullStr 4D Cellular Automaton Track Finder in the CBM Experiment
title_full_unstemmed 4D Cellular Automaton Track Finder in the CBM Experiment
title_short 4D Cellular Automaton Track Finder in the CBM Experiment
title_sort 4d cellular automaton track finder in the cbm experiment
url http://dx.doi.org/10.1051/epjconf/201612700003
work_keys_str_mv AT akishinavalentina 4dcellularautomatontrackfinderinthecbmexperiment
AT kiselivan 4dcellularautomatontrackfinderinthecbmexperiment