Abstract

The PANDA experiment at the international accelerator Facility for Antiproton and Ion Research in Europe (FAIR) near GSI, Darmstadt, Germany will address fundamental questions of hadron physics. Excellent particle identification is required to achieve the PANDA physics goals. Hadronic particle identification (PID) in the barrel region of PANDA target spectrometer will be delivered by a fast focusing DIRC (Detection of Internally Reflecfted Cherenkov light) counter. The Barrel DIRC will cover the polar angle range of 22̂–140̂ and is designed to provide π/K separation for momenta up to 3.5 GeV/c with a separation power of at least 3 standard deviations. Several reconstruction algorithms have been developed to determine the performance of the detector. The “geometrical reconstruction” determines the Cherenkov angle by relying primarily on the position of the detected photons. The “time imaging”, however, utilizes both position and time measurements by directly performing the maximum likelihood fit. Simulations and experimental data from prototype tests at the CERN Proton Synchrotron (PS) were used to evaluate the performance of the algorithms. We will discuss both reconstruction approaches.

Highlights

  • Research in Europe (FAIR) near GSI, Darmstadt, Germany will address fundamental questions of hadron physics

  • The standard geometrical reconstruction improved after the corrections were applied, but the performance of the Cherenkov data probability density functions (PDF) is still significantly better for most polar angles

  • Several reconstruction algorithm approaches were developed for the PANDA Barrel DIRC

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Summary

Prototype simulation

The prototype simulation was an important element for the success of the beam test at CERN. The simulation was used to optimize the MCP-PMT layout on the prism focal plane and to choose the optimum locations of the optical diffusers for the laser calibration. The simulation was performed during the data analysis phase to generate the look-up tables (LUT) for the geometrical reconstruction. The beam properties were included in the simulation as well. The detailed specifications and characteristics of the Planacon MCP-PMTs used during this beam test were included in the simulation. This included the experimentally observed dark count rate, charge-sharing, collection efficiency, and the quantum efficiency as a function of the photon wavelength. The simulated single photon timing precision of the electronics was tuned to match the observed performance in the experiment

Comparison of reconstruction algorithms
Findings
Conclusion
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