Premium
SHAMGAR's OXGOAD : A new approach to the problem of resolution corrections for triple‐axis neutron inelastic scattering data using parallel processors
Author(s) -
Mitchell P. W.,
Dove M. T.
Publication year - 1985
Publication title -
journal of applied crystallography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.429
H-Index - 162
ISSN - 1600-5767
DOI - 10.1107/s0021889885010767
Subject(s) - computation , resolution (logic) , convolution (computer science) , physics , neutron , scattering , inelastic neutron scattering , function (biology) , inelastic scattering , neutron scattering , computational physics , optics , computer science , algorithm , nuclear physics , machine learning , artificial intelligence , evolutionary biology , artificial neural network , biology
One problem in the analysis of triple‐axis neutron inelastic scattering data is the large numerical computations involved in applying full resolution corrections, which in one extreme involves an often‐repeated four‐dimensional numerical integral. A program called SHAMGAR has been written for an ICL Distributed Array Processor that will both calculate the full convolution of a model scattering function with the resolution function and allow refinement of the model simultaneously to many sets of experimental data by a non‐linear least‐squares fit. Sample results and performance figures are given.