Background Correction of Personal Dose Distributions by A Novel Unfolding Algorithm

  • Hannes Stadtmann (Autor)
  • Andreas Aschbacher (Autor)

Aktivität: Vortrag ohne Tagungsband / VorlesungPräsentation auf einer wissenschaftlichen Konferenz / Workshop


The dosimetry service Seibersdorf monitors more than 20.000 persons with typical monitoring periods of one month. The use of TL-dosemeters during the last 30 years allows measurements of even low dose values (some 10 µSv) with sufficient uncertainty. Consideration of the natural background contribution which needs to be subtracted from the measured dose requires special protocols which differ significantly from country to country. The chosen protocol has not only a strong influence on the individual dose values (especially for low doses) but changes significantly the whole dose distribution function, as well as the corresponding statistical describing parameters (mean doses, median values, etc) of these distributions. On the basis of the measured (uncorrected) distribution - function the attempt was made to extract both the background doses as well as the remaining occupationally caused dose contribution. For this approach the uncorrected dose values of all customers from several years were analysed and a superposition of two independent log-normal distributions was assumed. By means of a new unfolding algorithm both components were isolated and the corresponding parameters were calculated. The paper gives a detailed description of the procedure and summarises the results for different occupational groups in Austria.
Zeitraum11 Apr. 200515 Apr. 2005

Research Field

  • Biosensor Technologies