Calculate sqw for a model scattering function >> wout=sqw_eval(win,sqwfunc,p) Input: ------ win Dataset (or array of datasets) that provides the axes and points for the calculation sqwfunc Handle to function that calculates S(Q,w) Most commonly used form is: weight = sqwfunc (qh,qk,ql,en,p) where qh,qk,ql,en Arrays containing the coordinates of a set of points p Vector of parameters needed by dispersion function e.g. [A,js,gam] as intensity, exchange, lifetime weight Array containing calculated energies; if more than one dispersion relation, then a cell array of arrays More general form is: weight = sqwfunc (qh,qk,ql,en,p,c1,c2,..) where p Typically a vector of parameters that we might want to fit in a least-squares algorithm c1,c2,... Other constant parameters e.g. file name for look-up table pars Arguments needed by the function. Most commonly, a vector of parameter values e.g. [A,js,gam] as intensity, exchange, lifetime. If a more general set of parameters is required by the function, then package these into a cell array and pass that as pars. In the example above then pars = {p, c1, c2, ...} 'all' [option] Requests that the calculated sqw be returned over the whole of the domain of the input dataset. If not given, then the function will be returned only at those points of the dataset that contain data. Applies only to input with no pixel information - it is ignored if full sqw object. 'ave' [option] Requests that the calculated sqw be computed for the average values of h,k,l of the pixels in a bin, not for each pixel individually. Reduces cost of expensive calculations. Applies only to the case of sqw object with pixel information - it is ignored if dnd type object. Output: ------- wout Output dataset or array of datasets % Overloaded methods: sqw/sqw_eval sqw/sqw_eval d4d/sqw_eval d3d/sqw_eval d2d/sqw_eval d1d/sqw_eval d0d/sqw_eval

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