Thomas Pöschl

Telefon: +49 89 289-12584
Raum: PH: 3257
E-Mail: thomas.poeschl@ph.tum.de
Links: Visitenkarte in TUMonline
Arbeitsgruppe: Hadronenstruktur und Fundamentale Symmetrien

Lehrveranstaltungen und Termine

WS 2018/9 SS 2018 WS 2017/8 SS 2017

Titel und Modulzuordnung
Art	SWS	Dozent(en)	Termine
Satellitenbasierte Teilchenphysik Zuordnung zu Modulen: PH1395: Instrumente für Teilchenphysik im All / Instruments for Particle Physics in Space PH1395: Satellite-Based Particle Physics / Satellitenbasierte Teilchenphysik PH1474: Satellitenbasierte Teilchenphysik für Bachelorstudierende / Satellite-Based Particle Physics for B.Sc. Students
HS	2	Paul, S. Mitwirkende: Pöschl, T.	Mi, 16:00–18:00, PH 3268

Ausgeschriebene Angebote für Abschlussarbeiten

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