## 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 7

From this we have the joint probability Pr(C, D) = Pr(C) Pt(D\C) = Pr(D) ?t(C\D)

Exactly as usual, we use this to find Pr(L>) = JdCPr(C,D) = J dC?i{C)Pr(D\C)

where dC = d(

choice of ...

From this we have the joint probability Pr(C, D) = Pr(C) Pt(D\C) = Pr(D) ?t(C\D)

Exactly as usual, we use this to find Pr(L>) = JdCPr(C,D) = J dC?i{C)Pr(D\C)

where dC = d(

**parameters**entering the matrix C) and thence to estimate ourchoice of ...

Page 119

Three levels of data analysis are available: » numerical analysis: this is the

option to use when no a priori information on the pattern is available (unknown

cell

Three levels of data analysis are available: » numerical analysis: this is the

option to use when no a priori information on the pattern is available (unknown

cell

**parameters**for instance) or when the pattern cannot be described in the ...Page 274

The program's "intelligence" in leading the user through the data requirements in

a step by step fashion, and offering options such as tying

appropriate, will help to avoid many pitfalls. In addition, a control file for a fit ...

The program's "intelligence" in leading the user through the data requirements in

a step by step fashion, and offering options such as tying

**parameters**only whenappropriate, will help to avoid many pitfalls. In addition, a control file for a fit ...

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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