An intuitive visualisation of intercomparison results applied to the KCDB

Area of Science:

• Metrology and Measurement Science
• Data Visualization Techniques
• Experimental Data Analysis

Background:

• Interlaboratory comparisons require clear methods for summarizing experimental results.
• Visualizing measurement deviations and uncertainties is crucial for assessing data quality.
• Existing methods may not offer an intuitive overview of result accuracy and precision.

Purpose of the Study:

• To introduce a simple and intuitive graphical method, PomPlots, for summarizing experimental results.
• To provide a visual tool for assessing the accuracy and precision of measurements within intercomparisons.
• To demonstrate the application of PomPlots using data from primary radioactivity measurements.

Main Methods:

• Developing PomPlots to display relative deviations on the horizontal axis and relative uncertainties on the vertical axis.
• Representing z-scores (z=1, 2, 3) using diagonal lines to form a pyramidal structure.
• Utilizing the PomPlots to visualize data from the BIPM key comparison database.

Main Results:

• PomPlots effectively display individual results' deviations from a consensus value.
• The pyramidal structure visually indicates the accuracy and precision of measurement results.
• The method is suitable for analyzing complex datasets, such as those in primary radioactivity measurements.

Conclusions:

• PomPlots provide an intuitive and effective graphical summary of experimental measurement data.
• The method facilitates the identification of accurate and precise results within intercomparisons.
• PomPlots are a valuable tool for data analysis in metrology, particularly for radioactivity measurements.