## 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 32

With respect to the results , the performance of the SA algorithm can be estimated

by two quantities: the quality of the

the optimization. 4.1 Quality of the

...

With respect to the results , the performance of the SA algorithm can be estimated

by two quantities: the quality of the

**solution**and the computing time required bythe optimization. 4.1 Quality of the

**solution**The quality of the final**solution**which...

Page 59

The ME

where T<j is the transform matrix from Nj to M^. Mi = Y,T^N> (fi) i Although

equation (5) is highly non-linear a

procedures, ...

The ME

**solution**for pj and therefore Nj in the case of a linear transform is i *where T<j is the transform matrix from Nj to M^. Mi = Y,T^N> (fi) i Although

equation (5) is highly non-linear a

**solution**can be found by standard searchprocedures, ...

Page 226

Model-fitting and free-form

analysis is one of model-fitting and refinement, as exemplified in Jeff Penfold,s

talk in these proceedings. One assumes a functional form for the depth profile,

and ...

Model-fitting and free-form

**solutions**The standard approach for reflectivity dataanalysis is one of model-fitting and refinement, as exemplified in Jeff Penfold,s

talk in these proceedings. One assumes a functional form for the depth profile,

and ...

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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