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MsdGauss

Description

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

\[\mbox{Height} \cdot e^{\left(\frac{-x^2 \cdot MSD}{6}\right)}\]
where:
  • \(MSD\) is the mean squared displacement
  • \(Height\) is the intensity scaling

Here the MSD is not the same as mean square fluctuations (MSF) which approximately corresponds to half of the MSD in a one-dimensional harmonic system [1].

Properties (fitting parameters)

Name Default Description
Height 1.0 Height
Msd 0.05 Mean square displacement

References

  1. Kurkal-Siebert, V. , Daniel, R. , Finney J. , Tehei, M. , Dunn, R. and Smith J. (2006) ‘Enzyme hydration, activity and flexibility: A neutron scattering approach’, Journal of Non-Crystalline Solids, Vol.352(42-49), pp.4387-4393

Categories: FitFunctions | QuasiElastic

Source

Python: MsdGauss.py (last modified: 2020-03-27)