4d cellular automaton track finder in the cbm experiment

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ID: 233218
2016
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Abstract
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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valentina2016epj4d Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Akishina Valentina;Kisel Ivan
Journal utilitas mathematica
Year 2016
DOI
10.1051/epjconf/201612700003
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