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.
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Sivia, D.S. (1990). Applications of Maximum Entropy and Bayesian Methods in Neutron Scattering. In: Fougère, P.F. (eds) Maximum Entropy and Bayesian Methods. Fundamental Theories of Physics, vol 39. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0683-9_10
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DOI: https://doi.org/10.1007/978-94-009-0683-9_10
Publisher Name: Springer, Dordrecht
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