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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: 2020-06-09)
