Jobs & BA-/MA-Themen

Are you interested in cutting-edge physics, large-scale experiments, and working with some exciting data? Join us in exploring how heavy quarks (charm and beauty) help us understanding the early universe within the ALICE experiment at the Large Hadron Collider.

What you will do:

• Analyze real experimental data from the ALICE detector at the LHC
• Learn and apply modern machine learning techniques to identify and classify heavy flavour signals
• Handle and process large datasets using tools like ROOT and Python/C++
• Simulate detector responses and particle interactions

What you will gain:

• Advanced skills in data science, C++, and ROOT for high-energy physics
• First-hand experience with machine learning and its real-world applications in physics
• Opportunity to visit CERN, collaborate with international researchers, and even take data-taking shifts in the ALICE control room
• Insight into how large-scale physics experiments are conducted and how new discoveries are made
• A solid foundation for a future PhD or career in academia, research, or industry

For more information please feel free to contact Samrangy Sadhu

A fully modular 3D-tracking detector with a readout volume of 10×10×10cm³ and an amplification stage based on gaseous electron multipliers (GEM) has been developed and built for various test purposes. A full setup of such a laboratory-size detector (small Time Projection Chamber, sTPC) already has been set up and tested. There exists an additional set of detector parts in order to assemble a second detector of the same type which is supposed to be used for an advanced laboratory course for future physics students.
In the scope of your work one sub-project could be to assemble and test the detector, partly under clean room conditions. Another task is to revise the readout electronics of the detector. Here, the existing readout chain needs to be replaced and adopted to the scope of a laboratory course. This has to be realized in terms of printed circuit board (PCB) design and the description of FPGA firmware. With this, you also have the opportunity to set the course for upgrades planned for the mid-scale Crystal Barrel Experiment (CBELSA/TAPS) in Bonn.
Last but not least, an external detector arrangement – e.g. consisting of scintillators – needs to be implemented around the detector in order to generate a trigger for cosmic particle track events. Measured tracks need to be visualized in the scope of an event display software. The scope of the project can be accommodated to your personal preferences.

Click here for more information.

Responsible: Dimitri Schaab

For this project, we plan the characterization of an Analogue Pixel Test Structure (APTS) chip. The APTS is a small silicon-based tracking detector with a 4x4 pixel matrix. It is one step in the development process for the final chip.

Click here for the full description of the project.

Responsible: Philip Hauer, Bernhard Ketzer

In the coming years, the AMBER experiment plans to take data with kaon beams on proton targets. It is essential to investigate the acceptance of the apperatus for any physics program. in the scope of a Master (Bachelor) thesis, we offer you the chance to simulate, with existing Monte Carlo software, the AMBER detectors and study the acceptance of the upcoming kaon physics.

Within this project, you will gain more advanced knowledge in c++ programming, data analysis with ROOT and much more.

Responsible: Martin Hoffmann, Henri Pekeler

Im Oktober 2021 haben wir Daten für den Pilotrun der Protonradiusmessung⁵ aufgenommen.
Eine erste Analyse wurde bereits durchgeführt.

Weiterhin sollen die Auflösungen verschiedener Komponenten des Spektrometers und der Zeitprojektionskammer untersucht werden. Hierbei können uns neue Bachelor- oder Masterstudenten gut unterstützen.

Im Rahmen einer Masterarbeit können diese Analysen auch mit Simulationen verglichen werden. Hierzu wird ein existierendes Framework, basierend auf Geant4, benutzt.

Ansprechpartner: Martin Hoffmann