Simulation, Reconstruction, and Design Optimization for the PANDA Barrel DIRC
Publication author reference:
Wednesday, 5 August, 2015
The PANDA experiment at FAIR will study fundamental questions of strong interaction with high precision. Efficient particle identification for a wide momentum range and the full solid angle is required for successful reconstruction of the benchmark channels of the broad PANDA physics program. For this purpose a compact ring imaging Cherenkov detector is being developed for the barrel region of the PANDA detector. The concept and the baseline design of the PANDA Barrel DIRC were inspired by the BABAR DIRC and improved with important modifications, like fast photon timing, a compact expansion volume, and focusing optics. The required detector resolution was defined based on the PANDA PID specifications using the phase space distributions of the final state kaons produced in selected benchmark channels. To optimize the PANDA Barrel DIRC design in terms of performance and cost the baseline detector geometry and a number of design options were implemented in the simulation. The key options include the radiator dimensions, two types of expansion volume shapes, and a variety of focusing systems. The performance of the detector designs was quantified in terms of single photon Cherenkov angle resolution and photon yield. It was found that the number of radiators can be reduced by about 40% without loss in performance. A compound spherical lens without air gap was found to be a promising focusing system. An optimized Barrel DIRC design meeting the PID requirements includes three radiator bars per flat section, the compound lens without air gap, a compact prism-shaped EV, and a total of 192 Microchannel-Plate PMTs as photosensors. The number of electronic channels can be halved without loss in performance by combining two neighbouring pixels. For such a detector design the total cost will be significantly reduced compared to the baseline version while still meeting or exceeding the PANDA PID performance goals.