Cyclic gaussian dispersion for orientation.
$w(\theta) = e^{-\frac{\sin^2 \theta}{2 \sigma^2}}$
This provides a close match to the gaussian distribution for low angles, but the tails are limited to $\pm 90^\circ$. For $\sigma$ large the distribution is approximately uniform. The usual polar coordinate projection applies, with $\theta$ weights scaled by $\cos \theta$ and $\phi$ weights unscaled.
This is eqivalent to a Maier-Saupe distribution with order parameter $a = 1/(2 \sigma^2)$, with $\sigma$ in radians.
Distribution coded by P Kienzle.
Created By | smk78 |
Uploaded | Nov. 3, 2021, 2:02 p.m. |
Category | Distributions |
Score | 0 |
Verified | This model has not been verified by a member of the SasView team |
In Library | This model is not currently included in the SasView library. You must download the files and install it yourself. |
Files |
cyclic_gaussian.py |
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