Ústav technické a experimentální fyziky Institute of Experimental and Applied Physics

Improved algorithms for determination of particle directions in space with Timepix3

NázevTitle
Improved algorithms for determination of particle directions in space with Timepix3Improved algorithms for determination of particle directions in space with Timepix3
Druh výsledkuResult type
Článek v časopiseJournal article
AutořiAuthors
P. Mánek, B. Bergmann, P. Burian, D. Garvey, L. Meduna, S. Pospíšil, P. Smolyanskiy, E. White
DOIDOI
10.1088/1748-0221/17/01/C01062
Časopis / citaceJournal / citation
Journal of Instrumentation. 2022, 17 ISSN 1748-0221.
RokYear
2022
JazykLanguage
eng
WoSWoS
000766150700003
ScopusScopus
2-s2.0-85125544942
RIVRIV
RIV/68407700:21670/22:00355290!RIV23-MSM-21670___
ProjektProject
Institucionální podpora na rozvoj výzkumné org.Institucionální podpora na rozvoj výzkumné org.

AbstraktAbstract

Timepix3 pixel detectors have demonstrated great potential for tracking applications. With 256 × 256 pixels, 55 µm pitch and improved resolution in time (1.56 ns) and energy (2 keV at 60 keV), they have become powerful instruments for characterization of unknown radiation fields. A crucial pre-processing step for such analysis is the determination of particle trajectories in 3D space from individual tracks. This study presents a comprehensive comparison of regression methods that tackle this task under the assumption of track linearity. The proposed methods were first evaluated on a simulation and assessed by their accuracy and computational time. Selected methods were then validated with a real-world dataset, which was measured in a well-known radiation field. Finally, the presented methods were applied to experimental data from the Large Hadron Collider. The best-performing methods achieved a mean absolute error of 1.99° and 3.90° in incidence angle θ and azimuth φ, respectively. The fastest presented method required a mean computational time of 0.02 ps per track. For all experimental applications, we present angular maps and stopping power spectra.

Timepix3 pixel detectors have demonstrated great potential for tracking applications. With 256 × 256 pixels, 55 µm pitch and improved resolution in time (1.56 ns) and energy (2 keV at 60 keV), they have become powerful instruments for characterization of unknown radiation fields. A crucial pre-processing step for such analysis is the determination of particle trajectories in 3D space from individual tracks. This study presents a comprehensive comparison of regression methods that tackle this task under the assumption of track linearity. The proposed methods were first evaluated on a simulation and assessed by their accuracy and computational time. Selected methods were then validated with a real-world dataset, which was measured in a well-known radiation field. Finally, the presented methods were applied to experimental data from the Large Hadron Collider. The best-performing methods achieved a mean absolute error of 1.99° and 3.90° in incidence angle θ and azimuth φ, respectively. The fastest presented method required a mean computational time of 0.02 ps per track. For all experimental applications, we present angular maps and stopping power spectra.