Parallel 4-Dimensional Cellular Automaton Track Finder for the CBM Experiment

17th International Workshop on Advanced Computing and Analysis Techniques in Physics Research

物理学;计算机科学

Akishina, Valentina^1 ; Kisel, Ivan^1

Goethe University, And Frankfurt Institute for Advanced Studies (FIAS), Frankfurt am Main

60438, Germany^1

关键词: Data flow;    Event building;    Event reconstruction;    Event selection;    Interaction rate;    Streaming data;    Time based;    Time slice;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/762/1/012047/pdf
DOI  :  10.1088/1742-6596/762/1/012047

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

The CBM experiment (FAIR/GSI, Darmstadt, Germany) will focus on the measurement of rare probes at interaction rates up to 10 MHz 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 not a 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-slice-based reconstruction and included into the CBMROOT framework. In this article, we describe the modification done to the algorithm, as well as the performance of the developed time-based approach.