## 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 48

The Bayesian approach We said at the outset that in data analysis we are faced

with the task of making inferences about some quantity of interest, given

...

The Bayesian approach We said at the outset that in data analysis we are faced

with the task of making inferences about some quantity of interest, given

**experimental**measurements. We can summarise this inference with a conditional...

Page 57

Maximum entropy (ME) techniques are being increasingly used to perform linear

inversions of

broadening to be taken account of in a quantitative manner. Questions must be ...

Maximum entropy (ME) techniques are being increasingly used to perform linear

inversions of

**experimental**data. The method allows the noise and resolutionbroadening to be taken account of in a quantitative manner. Questions must be ...

Page 190

corrected for background, geometry and absorption. The

cross section was determined by a transmission measurement. This method

allows to determine the total cross section Or which is the sum of the absorption

and ...

corrected for background, geometry and absorption. The

**experimental**scatteringcross section was determined by a transmission measurement. This method

allows to determine the total cross section Or which is the sum of the absorption

and ...

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### Common terms and phrases

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 distribution function elastic scattering energy error bars example experiment experimental Figure Fourier transform Gaussian GENIE GENIE-V3 histogram inelastic instrument intensity inverse ISIS least squares likelihood function magnetic structure magnetisation density 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 procedure quasielastic radial distribution functions 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 truncation UNIRAS unit cell vanadium vector wavelength workspace