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Randomized Computer Vision Approaches for Pattern Recognition in Timepix and Timepix3 Detectors

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21670%2F19%3A00331872" target="_blank" >RIV/68407700:21670/19:00331872 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.48550/arXiv.1911.02367" target="_blank" >https://doi.org/10.48550/arXiv.1911.02367</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.48550/arXiv.1911.02367" target="_blank" >10.48550/arXiv.1911.02367</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Randomized Computer Vision Approaches for Pattern Recognition in Timepix and Timepix3 Detectors

  • Original language description

    Timepix and Timepix3 are hybrid pixel detectors (256x256 pixels), capable of tracking ionizing particles as isolated clusters of pixels. To efficiently analyze such clusters at potentially high rates, we introduce multiple randomized pattern recognition algorithms inspired by computer vision. Offering desirable probabilistic bounds on accuracy and complexity, the presented methods are well-suited for use in real-time applications, and some may even be modified to tackle trans-dimensional problems. In Timepix detectors, which do not support data-driven acquisition, they have been shown to correctly separate clusters of overlapping tracks. In Timepix3 detectors, simultaneous acquisition of Time-of-Arrival (ToA) and Time-over-Threshold (ToT) pixel data enables reconstruction of the depth, transitioning from 2D to 3D point clouds. The presented algorithms have been tested on simulated inputs, test beam data from the Heidelberg Ion therapy Center and the Super Proton Synchrotron and were applied to data acquired in the MoEDAL and ATLAS experiments at CERN.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/EF16_013%2F0001785" target="_blank" >EF16_013/0001785: Van de Graaff Accelerator - a Tunable Source of Monoenergetic Neutrons and Light Ions</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů