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ST: Fachverband Strahlen- und Medizinphysik
ST 3: Radiation monitoring and dosimetry II
ST 3.2: Vortrag
Mittwoch, 1. April 2020, 11:15–11:30, H-HS II
Irradiation date estimation for personal dose monitoring using artificial neural networks — •Florian Mentzel1, Kevin Kröninger1, Jörg Walbersloh2, and Jens Weingarten1 — 1TU Dortmund — 2Materialprüfungsamt NRW
In cooperation with the Chair for Experimental Physics IV at the TU Dortmund, the Materialprüfungsamt NRW (MPA NRW) is developing the new dosimetry system TL-DOS based on thermoluminescence. This system will replace the currently used film badge dosemeter for personal dose monitoring.
During irradiation, thermluminescence dosemeters store deposited energy by trapping excited electrons in metastable states. These electrons are released and can recombine when the detector is heated. The amount of recombination photons is proportional to the irradiation dose. If additional information is derived from a personal dosemeter, this can be beneficial for the radiation protection of the monitored person. Knowledge about the irradiation date, for example, allows for better retracing of the source and reason for an unnoticed exposition to radiation.
I present the results of a study on the date of irradiation of personal dosemeters. Neural networks are used to analyze the time- and temperature-dependent recombination photon counts. We focus on the case of a single irradiation with a high dose within the monitoring interval of one month. Currently conducted studies are extending this proof-of-concept study with the long-term goal to transfer the developed methods to routine dose monitoring.