Applications of Maximum Entropy and Bayesian Methods in Neutron Scattering

  • Devinderjit Singh Sivia
Part of the Fundamental Theories of Physics book series (FTPH, volume 39)

Abstract

We report on the use of Maximum Entropy (MaxEnt) and Bayesian methods applied to problems in neutron scattering at Los Alamos over the past year. Although the first applications were straight-forward deconvolutions, the work has been extended to make routine use of multi-channel entropy to additionally determine (broad) unknown backgrounds. A more exotic example of the use of MaxEnt involves the study of aggregation in a biological sample using Fourier-like data from small angle neutron scattering. We have also been considering the question of how to optimise instrumental hardware, leading to the derivation of better “figures-of-merit” for spectrometers and moderators, which may result in a far-reaching revision of ideas on the design of neutron scattering facilities.

Keywords

Response Function Bile Salt Maximum Entropy BAYESIAN Method Neutron Scattering 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kluwer Academic Publishers 1990

Authors and Affiliations

  • Devinderjit Singh Sivia
    • 1
  1. 1.Theoretical Division & Manuel Lujan Jr. Neutron Scattering CenterLos Alamos National LaboratoryLos AlamosUSA

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