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Hadronenstruktur und Fundamentale Symmetrien

Stephan Paul

Forschungsgebiet

Our group involved in a number of research projects dealing with high energy particle physics and neutron physics.

Adresse/Kontakt

James-Franck-Str. 1/I
85748 Garching b. München
+49 89 289 12572
Fax: +49 89 289 12570

Mitarbeiterinnen und Mitarbeiter der Arbeitsgruppe

Professorinnen und Professoren

Mitarbeiterinnen und Mitarbeiter

Lehrangebot der Arbeitsgruppe

Lehrveranstaltungen mit Beteiligung der Arbeitsgruppe

Ausgeschriebene Angebote für Abschlussarbeiten an der Arbeitsgruppe

Implementation of a Bayesian Particle Filter for Event Reconstruction on GPUs

The Multi-purpose Active-target Particle Telescope (MAPT) is a radiation detector for space applications currently under development at our institute. The detector shall be used to monitor the radiation environment on spacecraft and satellites. It is most sensitive to low-energy protons and ions and can distinguish radiation particles by their interactions with the material of the detector.

To calculate the flux of particles from measurement data, the direction, energy, and species of the detected particles must be reconstructed. We use an algorithm called particle filter, which is the optimal mathematical solution of the given task but requires a large computational effort. To use the algorithm efficiently, we need an implementation of it that can be run on a graphics processing unit (GPU), allowing a massive parallelization of the underlying ray-tracing problem.     

In this thesis, a GPU-based implementation of the particle filter shall be developed and implemented. The algorithm shall first be tested with simulated detector data and later verified with experimental data from an experiment conducted at a high-energy particle accelerator facility.

 

Tasks

  • Acquire the necessary theoretical understanding of interactions of particles with matter and the particle-filter algorithm.
  • Implement the particle-filter algorithm on a graphics processing unit and verify the algorithm’s ability to reconstruct particle tracks.
  • Measure the performance of the developed reconstruction algorithm.
  •  Integrate the reconstruction algorithm into the MAPT analysis framework.

 

Prerequisites

Experience in C/C++ programming and CUDA is helpful, but not required.

Contact

Thomas Pöschl, Room PH1 3257, Thomas.poeschl@ph.tum.de

geeignet als
  • Masterarbeit Kern-, Teilchen- und Astrophysik
  • Masterarbeit Applied and Engineering Physics
Themensteller(in): Stephan Paul

Abgeschlossene und laufende Abschlussarbeiten an der Arbeitsgruppe

Optimization of the search for dark matter with the ATLAS detector
Abschlussarbeit im Masterstudiengang Physik (Kern-, Teilchen- und Astrophysik)
Themensteller(in): Oliver Kortner
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