Working with experimental data (Data conditioning)
This example shows how to condition experimental data for effective LFPSO fitting. An experimental cure was added to the project.
Issues:
- Long nosy tail
- Shadowed region at the beginning of the curve
- Noise
- The curve is not normalized property, which appeared after switching to a linear scale:
The data were conditioned as follows: Step 1: Normalization. Based on the intensity comparison at 0.4 degrees, the experimental curve should be divided by 0.099 (Main menu - Data - Normalize ...)
Step 2: Smoothing (Menu - Data- Smooth)
Step 3: Trim excess data points.
- Set the calculation range from 0.4 to 4.5 degrees.
- Click "Calc". Pay attention to the value of the error function (4169.03)
- Select Main Menu - Data - Trim.
- Click "Calc" again. The error function was reduced to a value below 20. Now the curve is ready for the fitting:
Fitting result (Polynomial fit for layer thicknesses):
