Hybrid semiconductor pixelated detectors from the Timepix family are advanced
detectors for online particle tracking, offering energy measurement and precise
time stamping capabilities for particles of various types and energies. This
inherent capability makes them highly suitable for various applications,
including imaging, medical fields such as radiotherapy and particle therapy,
space-based applications aboard satellites and the International Space Station,
and industrial applications. The data generated by these detectors is complex,
necessitating the development and deployment of various analytical techniques
to extract essential information. For this purpose, and to aid the Timepix user
community, it was designed and developed the "Data Processing Engine" (DPE) as
an advanced tool for data processing designed explicitly for Timepix detectors.
The functionality of the DPE is structured into three distinct processing
levels: i) Pre-processing: This phase involves clusterization and the
application of necessary calibrations and corrections. ii) Processing: This
stage includes particle classification, employing machine learning algorithms,
and the recognition of radiation fields. iii) Post-processing: Involves various
analyses, such as directional analysis, coincidence analysis, frame analysis,
Compton directional analysis, and the generation of physics products, are
performed. The core of the DPE is supported by an extensive experimental
database containing calibrations and referential radiation fields of typical
environments, including protons, ions, electrons, gamma rays and X-rays, as
well as thermal and fast neutrons. To enhance accessibility, the DPE is
implemented into various user interface platforms such as a command-line tool,
an application programming interface, and as a graphical user interface in the
form of a web portal.Comment: 9 pages, proceedings IWORI