## Neutron scattering data analysis 1990: invited and contributed papers from the Conference on Neutron Scattering Data Analysis held at the Rutherford Appleton Laboratory, Chilton, 14-16 March 1990 |

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Page 94

Least squares refinement of the intensities, 1(h), and hence the

magnitudes, |F(h)|, of all measured Bragg reflections. ( N.B. 1(h) a |F(h)|2), . 4.

Application of direct methods or Patterson methods of structure solution using the

...

Least squares refinement of the intensities, 1(h), and hence the

**structure factor**magnitudes, |F(h)|, of all measured Bragg reflections. ( N.B. 1(h) a |F(h)|2), . 4.

Application of direct methods or Patterson methods of structure solution using the

...

Page 103

magnetisation density m(f) (also called the Magnetic

are real and can be deduced most often unambiguously from the related flipping

ratios. The associated error bars are obtained using the law of propagation of ...

magnetisation density m(f) (also called the Magnetic

**Structure Factors**) sought forare real and can be deduced most often unambiguously from the related flipping

ratios. The associated error bars are obtained using the law of propagation of ...

Page 151

STRUCTURAL REFINEMENT The characteristics of the

collected on an instrument such as SXD have certain advantages in structural

refinement, outlined in the Introduction above. The extraction of

STRUCTURAL REFINEMENT The characteristics of the

**structure factor**datacollected on an instrument such as SXD have certain advantages in structural

refinement, outlined in the Introduction above. The extraction of

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Acta Cryst algorithm applications approach atoms Bayesian beam Bragg peaks calculated configuration constraints coordinates corresponding cost function cross-section crystallographic Data Anal data analysis data set defined detector bank determined diffraction data diffractometer elastic scattering energy error bars example experiment experimental Figure Fourier transform Gaussian GENIE GENIE-V3 histogram inelastic instrument intensity interpolation inverse ISIS least squares likelihood function magnetic structure magnetisation density Markov chain matrix MaxEnt Reconstruction Maximum Entropy McGreevy measured method molecular Monte Carlo neutron diffraction neutron scattering normalisation normalization obtained optimisation optimization problems parameters Patterson map performed Phys plot positive powder diffraction presented at Neutron prior probability procedure quasielastic refinement reflectivity data resolution function ROTAX Rutherford Appleton Laboratory sample scan scattering law shown simulated annealing single crystal solution spectra spectrometer spectrum statistical structure factor symmetry technique temperature time-of-flight UNIRAS unit cell vanadium vector wavelength workspace