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Real-Time Event Reconstruction and Analysis in CBM and STAR Experiments

I. Kisel

2020Journal of Physics Conference Series11 citationsDOIOpen Access PDF

Abstract

Abstract Within the FAIR Phase 0 program, the algorithms of the FLES (First-Level Event Selection) package developed for the CBM experiment (FAIR/GSI, Germany) are adapted for the STAR experiment (BNL, USA). Use of the same algorithms creates a bridge between online and offline, which makes it possible to combine online and offline resources for data processing. In this way, an express data production chain was created on the basis of the STAR HLT farm, that extends the functionality of HLT in real time up to the analysis of physics. It is important, that the express analysis chain does not interfere with the standard analysis chain. A particular advantage of express analysis is that it allows calibration, production and analysis of the data to begin immediately after they are collected. Therefore, the use of express analysis is beneficial for BES II data production and helps to speed up scientific discovery by helping to obtain results within one year after the end of data acquisition. The specific features of express data production are presented and discussed as well as the results of online production and analysis, such as real-time reconstruction of short-lived particles in the BES-II STAR environment.

Topics & Concepts

Computer scienceEvent (particle physics)Star (game theory)Production (economics)Selection (genetic algorithm)Data analysisData acquisitionData miningArtificial intelligenceOperating systemPhysicsAstrophysicsEconomicsMacroeconomicsAdvanced Data Storage TechnologiesParticle Detector Development and PerformanceParticle physics theoretical and experimental studies
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