Full metadata record
DC poleHodnotaJazyk
dc.contributor.authorMánek, Petr
dc.contributor.authorBergmann, Benedikt
dc.contributor.authorBurian, Petr
dc.contributor.authorGarvey, Declan
dc.contributor.authorMeduna, Lukáš
dc.contributor.authorPospíšil, Stanislav
dc.contributor.authorSmolyanskiy, Petr
dc.contributor.authorWhite, E.
dc.date.accessioned2023-02-06T11:00:22Z-
dc.date.available2023-02-06T11:00:22Z-
dc.date.issued2022
dc.identifier.citationMÁNEK, 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: 1748-0221cs
dc.identifier.issn1748-0221
dc.identifier.uri2-s2.0-85125544942
dc.identifier.urihttp://hdl.handle.net/11025/51325
dc.description.abstractTimepix3 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.de
dc.format11 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherIOP Publishingen
dc.relation.ispartofseriesJournal of Instrumentationen
dc.rightsPlný text není přístupný.cs
dc.rights© IOP Publishing Ltd and Sissa Medialaben
dc.titleImproved algorithms for determination of particle directions with Timepix3en
dc.typečlánekcs
dc.typearticleen
dc.rights.accessclosedAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedTimepix3 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.en
dc.subject.translatedanalysis and statistical methodsen
dc.subject.translateddata processing methodsen
dc.subject.translateddata reduction methodsen
dc.subject.translateddattern recognition, cluster finding, calibration and fitting methodsen
dc.identifier.doi10.1088/1748-0221/17/01/C01062
dc.type.statusPeer-revieweden
dc.identifier.document-number766150700003
dc.identifier.obd43938085
Vyskytuje se v kolekcích:Články / Articles (KEI)
OBD

Soubory připojené k záznamu:
Soubor VelikostFormát 
Mánek_2022_J._Inst._17_C01062.pdf1,42 MBAdobe PDFZobrazit/otevřít  Vyžádat kopii


Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam: http://hdl.handle.net/11025/51325

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.

hledání
navigace
  1. DSpace at University of West Bohemia
  2. Publikační činnost / Publications
  3. OBD