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Hadronic Structure and Fundamental Symmetries

Prof. Stephan Paul

Research Field

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

Address/Contact

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

Members of the Research Group

Professor

Office

Scientists

Students

Other Staff

Teaching

Course with Participations of Group Members

Titel und Modulzuordnung
ArtSWSDozent(en)Termine
Experimentalphysik für Maschinenwesen
eLearning-Kurs
Zuordnung zu Modulen:
VO 3 Friedrich, J. einzelne oder verschobene Termine
Kern-, Teilchen- und Astrophysik für Lehramt
eLearning-Kurs
Zuordnung zu Modulen:
VO 4 Paul, S. einzelne oder verschobene Termine
Happy Hour der Kern- und Teilchenphysik
eLearning-Kurs LV-Unterlagen
Zuordnung zu Modulen:
HS 2 Paul, S.
Mitwirkende: Greenwald, D.
einzelne oder verschobene Termine
Übung zu Experimentalphysik für Maschinenwesen
eLearning-Kurs
Zuordnung zu Modulen:
UE 2 Eichhorn, K. Mindl, F.
Leitung/Koordination: Friedrich, J.
Termine in Gruppen
Übung zu Kern-, Teilchen- und Astrophysik für Lehramt
eLearning-Kurs
Zuordnung zu Modulen:
UE 2
Leitung/Koordination: Paul, S.
Termine in Gruppen
Repetitorium zu Happy Hour der Kern- und Teilchenphysik
Zuordnung zu Modulen:
RE 2
Leitung/Koordination: Paul, S.
Seminar zu aktuellen Forschungsthemen in der Teilchenphysik (für Mitarbeiter und Studenten)
LV-Unterlagen
Zuordnung zu Modulen:
SE 2 Märkisch, B. Paul, S. einzelne oder verschobene Termine

Offers for Theses in the Group

Development and Integration of Algorithms for Scientific Satellites

The Laboratory for Rapid Space Missions at the Origins Cluster of Excellence focuses on the development of scientific instruments for compact satellite platforms, called CubeSats. These nanosatellites enable the fast and modular deployment of complete, autonomous satellite systems at low cost. 

Our research includes detectors to measure antimatter flux in low orbits, where scientific success relies on finding suitable algorithms and hardware platforms to filter and classify particle events. In addition, satellite-based science oftentimes requires precise determination of pointing direction, for which we are developing our own star tracker. We offer opportunities in the fields of data processing, machine learning and hardware design, which could include the following tasks:

  • Simulation and modeling of particle fluxes
  • Data processing for our antimatter detector, including neural networks, particle filters, and conventional classification approaches
  • Image processing and optical engineering for attitude determination with our star tracker
  • Identification of suitable hardware architectures and integration of your own software
  • Work with VHDL, TensorFlow, Python, Zemax, Geant4, Altium Designer

What we expect from you:

  • Capability for independent and self-reliant work
  • Motivation, creativity and general interest in data processing and machine learning
  • Hands-on mentality and ability to work in a small, interdisciplinary team
  • Experience in one or more of the above-mentioned programming languages appreciated

Are you interested in working in an exciting and challenging environment with state-of-the-art technologies? Let’s have a talk!

suitable as
  • Master’s Thesis Nuclear, Particle, and Astrophysics
Supervisor: Stephan Paul
Development and Integration of Algorithms for Scientific Satellites

The Laboratory for Rapid Space Missions at the Origins Cluster of Excellence focuses on the development of scientific instruments for compact satellite platforms, called CubeSats. These nanosatellites enable the fast and modular deployment of complete, autonomous satellite systems at low cost. 

Our research includes detectors to measure antimatter flux in low orbits, where scientific success relies on finding suitable algorithms and hardware platforms to filter and classify particle events. In addition, satellite-based science oftentimes requires precise determination of pointing direction, for which we are developing our own star tracker. We offer opportunities in the fields of data processing, machine learning and hardware design, which could include the following tasks:

  • Simulation and modeling of particle fluxes
  • Data processing for our antimatter detector, including neural networks, particle filters, and conventional classification approaches
  • Image processing and optical engineering for attitude determination with our star tracker
  • Identification of suitable hardware architectures and integration of your own software
  • Work with VHDL, TensorFlow, Python, Zemax, Geant4, Altium Designer

What we expect from you:

  • Capability for independent and self-reliant work
  • Motivation, creativity and general interest in data processing and machine learning
  • Hands-on mentality and ability to work in a small, interdisciplinary team
  • Experience in one or more of the above-mentioned programming languages appreciated

Are you interested in working in an exciting and challenging environment with state-of-the-art technologies? Let’s have a talk!

suitable as
  • Master’s Thesis Applied and Engineering Physics
Supervisor: Stephan Paul
Development of a Star Tracker for Compact Scientific Satellites

The Laboratory for Rapid Space Missions at the ORIGINS Cluster of Excellence develops scientific instruments for small-satellite missions. For the ComPol mission, which measures the polarization of X-rays emitted by the Cygnus X-1 binary system, a highly precise real-time determination of the satellite’s attitude is essential. 

To achieve this, we aim to develop our own star-tracking system and tune the tracker’s properties exactly to the observed area in terms of source spectrum, light intensity, geometry, and spatial restrictions. Star trackers are very common instruments in satellite technology that compare an observed star formation with a database to calculate the exact spatial orientation of the satellite. 

Your objectives include the optical design, assembly, calibration, and testing of a prototype system, the analysis of test data, and assistance with the mechanical layout, hardware design, and integration of a flight system. You will gain skills in optical engineering, including knowledge of the Zemax simulation software, programming and data analysis with Python, mechanical design, and general satellite technology at the interface between science and engineering. If successful, the system you design will be part of future missions to the ISS or on satellites!

We expect a high degree of self-responsibility, motivation, creativity, and a good share of curiosity. We offer work in a small, interdisciplinarian team, a broad combination of topics, and enough freedom for self-development and your own ideas. Knowledge of one or more of the above-mentioned fields is highly welcome, but not required.



Primary point of contact: Peter Hinderberger (peter.hinderberger@tum.de)

 
suitable as
  • Master’s Thesis Applied and Engineering Physics
Supervisor: Stephan Paul

Current and Finished Theses in the Group

Application of Markov Chain Monte Carlo methods in the partial-wave analysis of the π⁻π⁻π⁺ final state in data of the COMPASS experiment
Abschlussarbeit im Bachelorstudiengang Physik
Themensteller(in): Stephan Paul
Development of a Star Tracker for Compact Scientific Satellites
Abschlussarbeit im Masterstudiengang Physics (Applied and Engineering Physics)
Themensteller(in): Stephan Paul
Development of self-triggering muon drift tube chambers
Abschlussarbeit im Bachelorstudiengang Physik
Themensteller(in): Oliver Kortner
First Cooldowns of the Neutron Lifetime Experiment PENeLOPE
Abschlussarbeit im Bachelorstudiengang Physik
Themensteller(in): Stephan Paul
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