The future of particle physics is dependent on the development of new and improved detectors. AI is currently changing how the research in this field is progressing both for the research on new sensor materials but also how large scale detectors will be built and optimised. New future experiments could be the Future Circular Collider (FCC) at CERN, which is a proposed next-generation, higher-performance particle collider designed to succeed the Large Hadron Collider (LHC). It features a 91-kilometer underground ring and will collide particles at unprecedented energies to investigate new physics beyond the Standard Model. At the same time smaller quantum detectors opens up a new area of smaller experiments which we are interested in exploring during the next years.
Several master projects are currently available working on the Inner Tracker:
A. The Transient Current Technique (TCT) is a powerful diagnostic tool used to characterize semiconductor radiation detectors and sensors. It involves generating short pulses of free charge carriers inside a reverse-biased sensor using a laser and analyzing the resulting electrical current signals induced on the device electrodes. We have diodes and sensors that needs to be tested and analysed with this technique. In addition, the program for operating the TCT machine and the analysis software need to be improved. This work with be in close collaboration with one of our PhD students.
B. Quantum: Simulations of the effect of defects/holes in silicon made with anti-protons at CERN. Anti-matter annihilates with matter and makes rather large wholes as impact on silicon which may have interesting effects for detection of other particles or for other particle-physics experiments. The work would be to simulate what happens in such a scenario taking into account the production processes at CERN and possible applications .
C. Other projects in discussion with the student.
Courses relevant from the bachelor's degree:
Recommended courses for theoretical curriculum in the master's programme: