Detecting elementary particles with Timepix3 detector

• Thesis title in Czech: Detekce elementárních částic detektorem Timepix3
• Thesis title in English: Detecting elementary particles with Timepix3 detector
• Key words: Timepix3 Experimentální fyzika Katherine readout Medipix
• English key words: Timepix3 Experimental physics Katherine readout Medipix
• Academic year of topic announcement: 2018/2019
• Thesis type: diploma thesis
• Thesis language: angličtina
• Department: Department of Software and Computer Science Education (32-KSVI)
• Supervisor: RNDr. František Mráz, CSc.
• Author: hidden - assigned and confirmed by the Study Dept.
• Date of registration: 10.05.2018
• Date of assignment: 17.05.2018
• Confirmed by Study dept. on: 31.05.2018
• Date and time of defence: 10.06.2019 09:00
• Date of electronic submission: 13.05.2019
• Date of submission of printed version: 10.05.2019
• Date of proceeded defence: 10.06.2019
• Opponents: RNDr. Jan Hric
• Advisors: Benedikt Bergmann

Guidelines

Detecting elementary particles and observing accompanying events in particle colliders is one of the most important field of current research in experimental physics. TimePix and its successor TimePix3 are types of the currently used detectors which are placed beside other in ATLAS experiment conducted by European Organization for Nuclear Research. Such detectors can produce huge amount of data about passing particles at high rate.

The goal of the thesis is to develop methods for detecting and classification of elementary particles observed by detector network ATLAS-TPX3. Suitable methods for clustering and/or classification based on semi-labelled data should be identified or new one should be developed. The proposed methods will be implemented and their performance on real data will be evaluated. The results will also include an implementation of framework for preprocessing low level data from detector network ATLAS-TPX3 in real-time and creating outputs that are suitable for subsequent physics investigation (e.g. ROOT framework files) including the proposed or future methods for particle classification.

References

[1] Ch. C. Aggarwal: Data mining: the textbook. Springer Science+Business Media, New York, 2015.

[2] T. Poikela, J. Plosila, T. Westerlund, M. Campbell, M. De Gaspari, X. Llopart, V. Gromov, R. Kluit, M. van Beuzekom, F. Zappon, V. Zivkovic, C. Brezina, K. Desch, Y. Fu, A. Kruth: Timepix3: a 65K channel hybrid pixel readout chip with simultaneous ToA/ToT and sparse readout. Journal of Instrumentation, Volume 9, Number 05, 2014,
Pages C05013, accessible online http:/ /stacks.iop.org/1748-0221/9/i=05/a=C05013.

[3] B. Bergmann, S. Pospisil, I. Caicedo, J. Kierstead, H. Takai and E. Frojdh: Ionizing Energy Depositions After Fast Neutron Interactions in Silicon. IEEE Transactions on Nuclear Science, Vol. 63, No. 4, 2016, pp. 2372-2378, DOI 10.1109/TNS.2016.2574961.

[4] B. Bergmann, M. Pichotka, S. Pospisil, J. Vycpalek, P. Burian, P. Broulim, J Jakubek: 3D track reconstruction capability of a silicon hybrid active pixel detector
The European Physical Journal C, Vol. 77, No. 6, 2017, pp. 421, accessible online https:/ /link.springer.com/article/10.1140/epjc/s10052-017-4993-4.

[5] P. Burian, P. Broulím, M. Jára, V. Georgiev, B. Bergmann: Katherine: Ethernet Embedded Readout Interface for Timepix3. Journal of Instrumentation,
Vol. 12, No. 11, 2017, pp. C11001, accessible online http:/ /stacks.iop.org/1748-0221/12/i=11/a=C11001.

[6] A. Sopczak et al.: Precision Luminosity of LHC Proton–Proton Collisions at 13 TeV Using Hit Counting With TPX Pixel Devices. in IEEE Transactions on Nuclear Science, Vol. 64, No. 3, 2017, pp. 915-924, DOI 10.1109/TNS.2017.2664664.