Název: Improved algorithms for determination of particle directions with Timepix3
Autoři: Mánek, Petr
Bergmann, Benedikt
Burian, Petr
Garvey, Declan
Meduna, Lukáš
Pospíšil, Stanislav
Smolyanskiy, Petr
White, E.
Citace zdrojového dokumentu: 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, 2022, roč. 17, č. 1, s. nestránkováno. ISSN: 1748-0221
Datum vydání: 2022
Nakladatel: IOP Publishing
Typ dokumentu: článek
article
URI: 2-s2.0-85125544942
http://hdl.handle.net/11025/51325
ISSN: 1748-0221
Klíčová slova v dalším jazyce: analysis and statistical methods;data processing methods;data reduction methods;dattern recognition, cluster finding, calibration and fitting methods
Abstrakt: 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.
Abstrakt v dalším jazyce: 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.
Práva: Plný text není přístupný.
© IOP Publishing Ltd and Sissa Medialab
Vyskytuje se v kolekcích:Články / Articles (KEI)
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