CalibrationMetric Class Documentation

CalibrationMetric is a model class developed using Pydantic, aimed at capturing and quantifying the quality of calibration procedures in relation to established benchmarks and historical calibration data. This class is structured to include a comprehensive set of metrics that assess both the consistency and strain of calibrations, providing a multifaceted view of calibration quality.

Attributes:

• sigmaAverage (float): Represents the average sigma value across a calibration dataset. Sigma values typically quantify the variability or consistency of the calibration, offering insight into the precision of the calibration process.

• sigmaStandardDeviation (float): Measures the standard deviation of sigma values within the calibration dataset, providing a statistical assessment of calibration consistency and variability.

• strainAverage (float): Captures the average strain observed during the calibration process. Strain metrics are crucial for evaluating the physical or mechanical stress imparted by the calibration on the materials or instruments involved.

• strainStandardDeviation (float): Indicates the standard deviation of strain measurements, offering a gauge of variability in the strain induced by the calibration.

• twoThetaAverage (float): Averages the two-theta angle, typically measured in degrees, observed across the calibration dataset. The two-theta angle is fundamental in diffraction measurements, and its average value can indicate the calibration’s alignment accuracy.