MsdYi¶

Description¶

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

$Height \exp\left(\frac{-1}{6 x^2 MSD}\right) \left(1 + \frac{x^4 * \sigma}{72}\right)$

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