< How to add a fit component to the mulab suite | Index | How to make an asymmetry multiplot >
Kubo-Toyabe Wrapper
The function mukt.m always accepts
ktAmp, the asymmetry
kgLFGau ({$G$}), the longitudinal field (for ZF it must be set to zero and fixed)
ktDeG ({$\mu s^{-1}$}), the width of the Gaussian static distribution , equal to {$2\pi\gamma_\mu \sqrt{\overline{\Delta B^2}}$}. This parameter prevails(*), while acting as a toggle with
ktDeLo ({$\mu s^{-1}$}), the width of the Lorentzian distribution
ktDyNu ({$\mu s^{-1}$}), the jump frequency of the Markov chain. For DyNu/DeGa{$\gg 1$} the function approximates an exponential (motional narrowing).
(*) if both are non zero the result is Gaussian
If ktDyNu = 0, static case, the zero field functions are analytical. The Gaussian functions, both in zero and in longitudinal field, are obtained by the Dawson function of the Faddeeva-Dawson package. The Lorentzian case is analytic in zero field and integrates known kernel for noj zero field.
If ktDyNu > 0, dynamic case
dealt with by muktdyna.m implementing the Allodi trick up to {$\nu/\Delta\le 30$}.
(beware, Lorentzian Markov chain makes no sense, it does not narrow)
< How to add a fit component to the mulab suite | Index | How to make an asymmetry multiplot >
