Conference paper

Particle identification algorithms for the PANDA Barrel DIRC


Authors listAli, A.; Belias, A.; Dzhygadlo, R.; Gerhardt, A.; Krebs, M.; Lehmann, D.; Peters, K.; Schepers, G.; Schwarz, C.; Schwiening, J.; Traxler, M.; Schmitt, L.; Boehm, M.; Lehmann, A.; Pfaffinger, M.; Stelter, S.; Dueren, M.; Etzelmueller, E.; Foehl, K.; Hayrapetyan, A.; Koeseoglu, I; Kreutzfeld, K.; Schmidt, M.; Wasem, T.; Sfienti, C.; Barnyakov, A.; Beloborodov, K.; Blinov, V; Kononov, S.; Kravchenko, E.; Kuyanov, I

Publication year2020

JournalJournal of Instrumentation

Volume number15

Issue number9

ISSN1748-0221

Open access statusGreen

DOI Linkhttps://doi.org/10.1088/1748-0221/15/09/C09057

ConferenceInternational Conference on Instrumentation for Colliding Beam Physics

PublisherIOP Publishing


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 22 degrees-140 degrees and is designed to provide pi/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.



Citation Styles

Harvard Citation styleAli, A., Belias, A., Dzhygadlo, R., Gerhardt, A., Krebs, M., Lehmann, D., et al. (2020) Particle identification algorithms for the PANDA Barrel DIRC, Journal of Instrumentation, 15(9), Article C09057. https://doi.org/10.1088/1748-0221/15/09/C09057

APA Citation styleAli, A., Belias, A., Dzhygadlo, R., Gerhardt, A., Krebs, M., Lehmann, D., Peters, K., Schepers, G., Schwarz, C., Schwiening, J., Traxler, M., Schmitt, L., Boehm, M., Lehmann, A., Pfaffinger, M., Stelter, S., Dueren, M., Etzelmueller, E., Foehl, K., ...Kuyanov, I. (2020). Particle identification algorithms for the PANDA Barrel DIRC. Journal of Instrumentation. 15(9), Article C09057. https://doi.org/10.1088/1748-0221/15/09/C09057



Keywords


Cherenkov detectorsDetector modelling and simulations I (interaction of radiation with matter, interaction of photons with matter, interaction of hadrons with matter, etc)Particle identification methodsPerformance of High Energy Physics Detectors


SDG Areas


Last updated on 2025-10-06 at 11:16