Neutron Scattering Data Analysis 1990, Proceedings of the Conference on Neutron Scattering, 14-16 March 1990, Rutherford Appleton Laboratory, UKM. W. Johnson |
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Page 5
... positive , we require C to be a positive - definite matrix . Correspondingly , y must have strictly positive Fourier transform , which allows a Gaussian or Lorentzian , but not a square wave . Whichever form for y is chosen , it should ...
... positive , we require C to be a positive - definite matrix . Correspondingly , y must have strictly positive Fourier transform , which allows a Gaussian or Lorentzian , but not a square wave . Whichever form for y is chosen , it should ...
Page 108
... positive distribution by means of the difference of two positive distributions , which amounts to looking for a positive distribution of twice the initial size , has first been used success- fully in N.M.R. data analysis . The Maximum ...
... positive distribution by means of the difference of two positive distributions , which amounts to looking for a positive distribution of twice the initial size , has first been used success- fully in N.M.R. data analysis . The Maximum ...
Page 115
... positive / negative or a positive definite magnetisation density are shown in ( C , D ) and ( E , F ) . The positive / negative map shows some negative density close to high symmetry points in projected cell . Although most probably due ...
... positive / negative or a positive definite magnetisation density are shown in ( C , D ) and ( E , F ) . The positive / negative map shows some negative density close to high symmetry points in projected cell . Although most probably due ...
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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 determined diffraction data diffractometer distribution elastic scattering energy error bars example experiment experimental Figure Fourier transform Gaussian GENIE GENIE-V3 histogram inelastic instrument intensity interpolation inverse ISIS likelihood function magnetic structure Markov chain matrix MaxEnt Reconstruction Maximum Entropy McGreevy measured method molecular MoO3 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 Scatt scattering law shown simulated annealing single crystal solution spectra spectrometer spectrum statistical structure factor symmetry temperature time-of-flight truncation UNIRAS unit cell vanadium vector wavelength workspace