Modeling

Modeling

We developed a structured method of modeling measurements for the measurement uncertainty evaluation in MUSE:

• Basic models: They are used to define measurement equipment in an abstract way. They can then be used arbitrarily often as instances of these basic models with individual parameters for specific measurements.

• Instances section: In this section you define which instances of basic models you need. Instances have their own scope and can use parameter sets to overwrite default values of the abstract model.

• Process section: Processes use instances and other processes to define the procedure of the measurement. It connects input parameters to more advanced procedures.

• Calculation section: You can define your final measurement equations and what your output should be, set parameters for calculation and define variables and variation loops.

• Calibrations: It uses instances to define a set of parameters for a calibration function. The inverse of the calibration function can then be used to adjust a measurement.