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Data Fitting

Non-linear least squares fitting of the theoretical curves to the data was performed using the LMDER subroutine from the MINPACK library (Garbow et al., 19xx). Starting values of the parameters were estimated from experience and tens of different starting values were tried to reduce the possibility of getting caught in local minima. The basic parameters in the fit were , L, and the amplitude for each peak in the simultaneous fit to all peaks with the constraint in Eq. 10. Because of small (less than 1%) mechanical hysteresis in the arm at CHESS that we carefully documented, some of the peak position values do not index perfectly and were therefore made parameters. Also, for some of our earlier data the out of plane resolution was not measured carefully and was allowed to be a parameter, although its range was consistent within xx% with our estimates from slit widths. Uncertainties in parameter values were estimated from the inverse curvature matrix for the residual sum of squares.



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