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MsdPeters¶

Description¶

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

\[\frac{Height}{\left(1 + \frac{MSD\cdot x^2}{6 \beta}\right)^\beta}\]

where:

\(MSD\) is the mean-squared displacement
\(\beta\) is the inverse scale/rate parameter
\(Height\) is the intensity scaling

Properties (fitting parameters)¶

Name	Default	Description
Height	1.0	Height
Msd	0.05	Mean square displacement
Beta	1.0	beta

Categories: FitFunctions | QuasiElastic

Source¶

Python: MsdPeters.py