Abstract

The Compressed Baryonic Matter (CBM) experimental setup is currently being constructed at the Facility for Antiproton and Ion Research (FAIR) acceleration complex at GSI (Darmstadt, Germany) by an international collaboration that includes a team from JINR. One of the main goals of this experiment is to study the charmonium production in high-energy nuclear collisions. The experiment will operate at extreme interaction rates of up to 10 MHz. The expected dataflow rate will be of the order of 1 TB/s, making it impossible to store all the raw data from detectors in long-term buffers. It will demand the selection of J/ψ → μ+ μ− decays in real-time. This paper presents criteria for the fast and effective selection of signal events by using exclusively data on charged muon hits collected in the Muon Chamber (MUCH) coordinate stations and describes the software implementing these criteria. The possibility of this software to solve the problem of the online selection J/ψ → μ+ μ− decays is proven.

Highlights

  • To make the Compressed Baryonic Matter (CBM) possible the FAIR acceleration complex for antiprotons and heavy ions is under construction at present at GSI, Darmstadt

  • The Compressed Baryonic Matter (CBM) experimental setup is currently being constructed at the Facility for Antiproton and Ion Research (FAIR) acceleration complex at GSI (Darmstadt, Germany) by an international collaboration that includes a team from JINR

  • This paper presents criteria for the fast and effective selection of signal events by using exclusively data on charged muon hits collected in the Muon Chamber (MUCH) coordinate stations and describes the software implementing these criteria

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Summary

Introduction

To make the CBM possible the FAIR acceleration complex for antiprotons and heavy ions is under construction at present at GSI, Darmstadt. The paper presents the software developed by the authors which, as we believe, solves the problem of the online J/ψ → μ+μ− events selection This software uses simple and efficient criteria for identifying and selecting decays using information about the trajectories of charged particles detected by the MUCH coordinate stations. These trajectories are reconstructed by a fast algorithm based on the cellular automaton model [4]. As a consequence for each pair of stations we create segment sets containing only segments the inclinations of which do not deviate much from the line drawn between the segment right end and the target center as shown in figure 3. If the angle between the segments of a given pair does not exceed the limits determined by Monte Carlo simulation, the segments are considered as neighbours and “bound” (see figure 5 and figure 6)

Choosing the best track candidates
Particle electric charge sign identification
Screening by distance
Results and conclusion
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