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Updated: Jun 6, 2026
10:22
Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
Published on: September 7, 2019
Developments in uncertainty analysis for individual monitoring
1NRG Radiation and Environment, Arnhem, The Netherlands. jwe.van.dijk@xs4all.nl
Radiation Protection Dosimetry
|December 7, 2010
Summary
Uncertainty analysis is crucial for quality management in monitoring services. For personal dosemeters, the numerical method for propagating distributions is recommended due to potential large uncertainties.
Area of Science:
- Metrology
- Radiation Dosimetry
- Quality Management
Background:
- Uncertainty analysis is integral to quality management in individual monitoring services.
- Recent standards emphasize the importance of evaluating measurement uncertainty to quantify quality.
- Personal dosemeters can exhibit significant uncertainties due to energy and angle dependence.
Purpose of the Study:
- To discuss guidance on uncertainty analysis for individual monitoring services.
- To evaluate methods for uncertainty propagation in dosemeter measurements.
- To recommend a preferred method for dosemeters with significant response variations.
Main Methods:
- Discussion of guidance from the 'Guide to the expression of uncertainty in measurement'.
- Application of a hypothetical dosemeter as a case study.
- Evaluation of the numerical method for propagation of distributions.
Main Results:
- The numerical method for propagation of distributions is suitable for complex scenarios.
- Guidance on uncertainty analysis is critical for ensuring measurement quality.
- The chosen method addresses large uncertainties arising from dosemeter response variations.
Conclusions:
- The numerical method for propagation of distributions is the preferred approach for personal dosemeters with significant energy and angle dependence.
- Effective uncertainty analysis enhances the reliability of individual monitoring services.
- Adherence to updated standards in uncertainty evaluation is essential for quality assurance.
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