Title: | Improved algorithms for determination of particle directions with Timepix3 |
Authors: | Mánek, Petr Bergmann, Benedikt Burian, Petr Garvey, Declan Meduna, Lukáš Pospíšil, Stanislav Smolyanskiy, Petr White, E. |
Citation: | 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 |
Issue Date: | 2022 |
Publisher: | IOP Publishing |
Document type: | článek article |
URI: | 2-s2.0-85125544942 http://hdl.handle.net/11025/51325 |
ISSN: | 1748-0221 |
Keywords in different language: | analysis and statistical methods;data processing methods;data reduction methods;dattern recognition, cluster finding, calibration and fitting methods |
Abstract: | 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. |
Abstract in different language: | 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. |
Rights: | Plný text není přístupný. © IOP Publishing Ltd and Sissa Medialab |
Appears in Collections: | Články / Articles (KEI) OBD |
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