Analysing data from two-layer Timepix3 detector

• Thesis title in Czech: Analýza dat z dvou-vrstvého Timepix3 detektoru
• Thesis title in English: Analysing data from two-layer Timepix3 detector
• Key words: Neutron detector|particle tracking|solid state detector
• English key words: neutron detector|particle tracking|solid state detector
• Academic year of topic announcement: 2023/2024
• Thesis type: Bachelor's thesis
• Thesis language: angličtina
• Department: Department of Software and Computer Science Education (32-KSVI)
• Supervisor: RNDr. František Mráz, CSc.
• Author: Penda Smajljaj - assigned and confirmed by the Study Dept.
• Date of registration: 27.10.2023
• Date of assignment: 27.10.2023
• Confirmed by Study dept. on: 29.10.2023
• Date of electronic submission: 08.05.2024
• Opponents: Ing. Pavel Koupil, Ph.D.
• Advisors: Benedikt Bergmann

Guidelines

Timepix3 is a solid-state elementary particle detector capable of detecting elementary charged particles with a high time resolution. The goal of the thesis is to propose and implement a system for processing data from two-layered Timepix3 detectors. Each Timepix3 detector detects hits of charged particles on a 256x256 grid of pixels. Different substances are inserted between the sensors that can produce secondary charged particles when hit by neutrons of varying energy. Such a configuration enables the detection of neutrons that Timepix3 detectors cannot otherwise detect. Two-layer Timepix3 detectors generate huge data files of several gigabytes.

The result of the thesis will be a system consisting of two parts. The first part will be a GUI application for filtering and analyzing coincident events on the two layers of the detector. Such an application will enable the inspection and analysis of individual events on the detector, like the shape of the detected trajectories of individual particles, the energy deposited by the particle, and the estimation of the direction of arrival. The second part is an extendible library of scripts and functions that can batch-process whole data files with selected parameters for establishing the composition of the stream of detected particles, emphasizing detecting neutrons of different energy. For efficiency, the system should be implemented in C++ using the ROOT library developed at CERN.

References

Burian, P., Broulím, P., Bergmann, B., Georgiev, V., Pospíšil, S., Pušman, L., Zich, J.: Timepix3 detector network at ATLAS experiment. Journal of Instrumentation, 13(11), 2018. C11024.

Brun, R., Rademakers, F.: ROOT – An object oriented data analysis framework, Proceedings AIHENP'96 Workshop, Lausanne, Sep. 1996, Nucl. Inst. & Meth. in Phys. Res. A 389 (1997) 81-86.

Root: https:/ /root.cern, accessed online on October 25, 2023.

Smolyanskiy, P., Bergmann, B., Broulím, P., Burian, P., Čelko, T., Garvey, D., Mánek, P., Mráz, F., Pospíšil, S., Sitarz, M., Urban, O., Vykydal, Z.: A two-layer Timepix3 stack for improved charged particle tracking and radiation field decomposition, 24th International Workshops on Radiation Imaging Detectors, June 25-29, 2023, Oslo, Norway. Under review in Journal of Instrumentation.

Mánek, P., Bergmann, B., Burian, P., Garvey, D., Meduna, L., Pospíšil, S., Smolyanskiy, P., White, E.: Improved algorithms for determination of particle directions with Timepix3. Journal of Instrumentation, 17(01), 2022. C01062.