ÚTEFČVUT Ústav technické a experimentální fyziky ČVUT v PrazeInstitute of Experimental and Applied Physics, CTU in Prague

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
Klíčová slovaKeywords
Analysis and statistical methods, Data processing methods, Data reduction methods, Pattern recognition, cluster finding, calibration and fitting methods, particle tracking, pixel detector
DOIDOI
10.1088/1748-0221/17/01/C01062
Časopis / citaceJournal / citation
Journal of Instrumentation 17(01), C01062 (2022) · ISSN 1748-0221
RokYear
2022
JazykLanguage
eng
ZáznamyRecords
ProjektProject
Institucionální podpora na rozvoj výzkumné org.Institucionální podpora na rozvoj výzkumné org.
CitovánoCited by
3 (INSPIRE-HEP)
2024: 12025: 2
Plný text (open access)Full text (open access)
https://arxiv.org/pdf/2111.00624
Citace ke staženíDownload citation
TXT · BibTeX

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.

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