The Individual Monitoring Service of the Helmholtz Zentrum München is currently using the BeOSL dosimetry system for monitoring ∼15 000 persons per month. This dosimetry system has a modular structure and represents a complete new concept on handling dosemeters in a large-scale dosimetry service. It is based on optically stimulated luminescence dosemeters made of beryllium oxide. The dosimetric and operational properties of the system are shown and discussed.

An intercomparison of eye lens dosemeters has been conducted in terms of the quantity Hp(3). For the first time, besides photon radiation also beta radiation qualities were included. Three dosemeter types designed for the quantity Hp(3) and ten for Hp(0.07) took part in the intercomparison. As shown in a previous intercomparison for photon radiation only, the dosemeters designed for Hp(0.07) and calibrated in terms of Hp(3) performed well in photon radiation fields. But for beta radiation, it turned out that Hp(0.07) dosemeters over-responded up to a factor of 5 000 (with respect to the true Hp(3) dose) in the medium beta energy range (85Kr with a beta endpoint energy of 0.69 MeV), while some Hp(3) dosemeters performed quite well. For medium (57 keV) and high (662 keV) energy photon radiation, all dosemeter types showed response values well within the trumpet curve according to the current draft of ISO 14146.

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Dose-response curves characterize the variability of damage thresholds within the population under consideration. In probabilistic risk analysis (PRA) for laser injury, a log-normal cumulative distribution is usually used as dose-response curve to calculate the probability for injury as function of radiant exposure. However, experimental uncertainty as well as a different variability within the group under consideration can influence the shape of the dose-response curve. Previously, to our knowledge, dose response curves were used in PRA for laser injury without considering uncertainties. We have developed a second order probabilistic risk analysis model, which accounts for uncertainties of the dose response curve by defining distributions for the slope and ED-50 values of the dose response curve and using Monte-Carlo simulation.

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