Calculates the form factor for a polydisperse and/or angular population of particles with uniform scattering length density. The resultant form factor is normalized by the average particle volume such that P(q) = scale*<F*F>/Vol + bkg, where F is the scattering amplitude and the < > denote an average over the size distribution. Users should use PD for a size distribution and Sigma for an angular distribution.
Note that this computation is very time intensive thus applying polydispersion/angular distrubtion for more than one paramters or increasing Npts values might need extensive patience to complete the computation.
The following five distribution functions are provided;
The xmean is the mean of the distribution, w is the half-width, and Norm is a normalization factor which is determined during the numerical calculation. Note that the Sigma and the half width w are different.
The standard deviation is
.
The PD (polydispersity) is
.
This distribution is to be given by users as a txt file where the array should be defined by two columns in the order of x and f(x) values. The f(x) will be normalized by SansView during the computation.
Example of an array in the file;
30 0.1
32 0.3
35 0.4
36 0.5
37 0.6
39 0.7
41 0.9
We use only these array values in the computation, therefore the mean value given in the control panel, for example ‘radius = 60’, will be ignored.
The xmean is the mean of the distribution and Norm is a normalization factor which is determined during the numerical calculation.
The PD (polydispersity) is
.
The mu = ln(xmed), xmed is the median value of the distribution, and Norm is a normalization factor which will be determined during the numerical calculation. The median value is the value given in the size parameter in the control panel, for example, “radius = 60”.
The PD (polydispersity) is given by sigma,
.
For the angular distribution,
The mean value is given by xmean =exp(mu+p^2/2).
The peak value is given by xpeak=exp(mu-p^2).
This distribution function spreads more and the peak shifts to the left as the p increases, requiring higher values of Nsigmas and Npts.
The xmean is the mean of the distribution and Norm is a normalization factor which is determined during the numerical calculation.
The z = 1/p^2 – 1.
The PD (polydispersity) is
.