A method of determining accuracy and precision for dosimeter systems using accreditation data.

Area of Science:

• * Radiation Dosimetry
• * Metrology
• * Statistical Analysis

Background:

• * National accreditation programs mandate uncertainty evaluation for dosimeter models.
• * Traditional methods for uncertainty determination include partial differentiation and Monte Carlo simulations.
• * These established techniques offer detailed insights but can be complex.

Purpose of the Study:

• * To introduce and validate a straightforward method for assessing dosimeter uncertainty using Analysis of Variance (ANOVA).
• * To demonstrate the utility of ANOVA in conjunction with existing accreditation testing data.
• * To highlight the potential for integrating this method with Statistical Process Control (SPC) for ongoing uncertainty monitoring.

Main Methods:

• * Application of a Model II One-Way Analysis of Variance (ANOVA) technique.
• * Utilization of data generated during standard accreditation testing procedures.
• * Analysis of historic testing data from a representative dosimetry system (Panasonic® Model UD-802).

Main Results:

• * Accuracy values for the Panasonic® UD-802 system were determined to be 8.2% (Accident), 5.1% (Protection Level-Shallow), and 4.8% (Protection Level-Deep).
• * Expanded uncertainties at the 95% confidence level were 10.7%, 14.9%, and 15.2% for the respective test categories.
• * The 95% confidence level ranges were (0.98 to 1.19), (0.90 to 1.20), and (0.90 to 1.20).

Conclusions:

• * Model II ANOVA offers a simpler alternative for calculating dosimeter uncertainty compared to traditional methods.
• * The ANOVA method effectively utilizes readily available accreditation testing data.
• * This approach facilitates the analysis of long-term uncertainty trends through Statistical Process Control (SPC).