Issue |
EPJ Web Conf.
Volume 170, 2018
ANIMMA 2017 – Advancements in Nuclear Instrumentation Measurement Methods and their Applications
|
|
---|---|---|
Article Number | 09009 | |
Number of page(s) | 4 | |
Section | Environmental and medical sciences | |
DOI | https://doi.org/10.1051/epjconf/201817009009 | |
Published online | 10 January 2018 |
https://doi.org/10.1051/epjconf/201817009009
Single photon detection and signal analysis for high sensitivity dosimetry based on optically stimulated luminescence with beryllium oxide
IKTP (Institute of nuclear and particle physics), Dresden 01069 Germany
radtke@asp.tu-dresden.de, sponner@asp.tu-dresden.de, jakobi@asp.tu-dresden.de, schneider@asp.tu-dresden.de, sommer@asp.tu-dresden.de, teichmann@asp.tu-dresden.de, ullrich@asp.tu-dresden.de, henniger@asp.tu-dresden.de, kormoll@asp.tu-dresden.de
Published online: 10 January 2018
Single photon detection applied to optically stimulated luminescence (OSL) dosimetry is a promising approach due to the low level of luminescence light and the known statistical behavior of single photon events. Time resolved detection allows to apply a variety of different and independent data analysis methods. Furthermore, using amplitude modulated stimulation impresses time- and frequency information into the OSL light and therefore allows for additional means of analysis. Considering the impressed frequency information, data analysis by using Fourier transform algorithms or other digital filters can be used for separating the OSL signal from unwanted light or events generated by other phenomena. This potentially lowers the detection limits of low dose measurements and might improve the reproducibility and stability of obtained data. In this work, an OSL system based on a single photon detector, a fast and accurate stimulation unit and an FPGA is presented. Different analysis algorithms which are applied to the single photon data are discussed.
Key words: beryllium oxide / dosimetry / luminescence / optical stimulated luminescence / single photon detection
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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