Dissertation / PhD Thesis GSI-2022-00146

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Particle identification with the PANDA Barrel DIRC and the GlueX DIRC



2021
Universitätsbibliothek Johann Christian Senckenberg Frankfurt

Frankfurt : Universitätsbibliothek Johann Christian Senckenberg 124 S. () = Dissertation, Johann Wolfgang Goethe-Universität Frankfurt, 2021

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Abstract: Next-generation DIRC detectors, like the PANDA Barrel DIRC, with improved optical designs and better spatial and timing resolution, require correspondingly advanced reconstruction and PID methods. The investigation of the PID performance of two DIRC counters and the evaluation of the reconstruction and PID algorithms form the core of this thesis. Several reconstruction and PID approaches were developed, optimized, and tested using hadronic beam particles, experimental physics events, and Geant simulations. The near-final design of the PANDA Barrel DIRC was evaluated with a prototype in the T9 beamline at CERN in 2018. The analysis finds excellent agreement between the experimental data and the Geant simulations for all reconstruction algorithms. The best PID performance of up to $5.2 \pm 0.2$ s.d. $\pi$/K separation at 3.5 GeV/c, was obtained with a time imaging PID method. The PANDA Barrel DIRC simulation, as well as the reconstruction and PID algorithms, were evaluated using experimental data from the GlueX DIRC as part of the FAIR Phase-0 program. The performance validation was carried out using physics events of the GlueX experiment and simulations. The initial analysis results of the commissioning dataset show a $\pi$/K separation power of up to 3 s.d. at a momentum of 3.0-3.5 GeV/c, obtained using a geometric reconstruction algorithm.


Note: Dissertation, Johann Wolfgang Goethe-Universität Frankfurt, 2021

Contributing Institute(s):
  1. PANDA Detektoren (HPD)
Research Program(s):
  1. 612 - Cosmic Matter in the Laboratory (POF4-612) (POF4-612)
Experiment(s):
  1. (GlueX Experiment at J-Lab ( - ; other))

Appears in the scientific report 2021
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The record appears in these collections:
Private Institutssammlungen > >WGF > >RED > HPD
Dokumenttypen > Hochschulschriften > Doktorarbeiten
Workflow-Sammlungen > Öffentliche Einträge
HSD/MU > PANDA Detektoren
Publikationsdatenbank

 Datensatz erzeugt am 2022-01-19, letzte Änderung am 2023-03-17