4.2

MsdYi

Description

The Yi model for Mean-squared displacement fitting is defined as:

\mbox{Height} \cdot \left(1 + \frac{x^4 \sigma}{72}\right) \cdot e^{\left(\frac{-x^2 \cdot MSD}{6}\right)}

where:
  • MSD is the mean squared displacement
  • Sigma is the standard deviation
  • Height is the intensity scaling

Properties (fitting parameters)

Name Default Description
Height 1.0 Height
Msd 0.05 Mean square displacement
Sigma 1.0 Sigma

Categories: FitFunctions | QuasiElastic

Source

Python: MsdYi.py (last modified: 2018-10-31)