Optimization of focusing neutronic devices using artificial intelligence techniques

The successful use is reported of a particle‐swarm optimization algorithm to design a focusing, multi‐channel neutron guide for the measurement of millimetre‐ and sub‐millimetre‐sized samples. For a 5 Å incident neutron wavelength on an IN5‐type instrument, this results in a ninefold gain in the pea...

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Veröffentlicht in:	Journal of applied crystallography 2009-04, Vol.42 (2), p.217-224
Hauptverfasser:	Bentley, Phillip M., Andersen, Ken H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms artificial intelligence Crystallography focusing neutron guide elements Monte Carlo simulation neutron instrumentation Neutrons Optimization
Online-Zugang:	Volltext
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