Optimization of multi-channel neutron focusing guides for extreme sample environments

Douglas DiJulio, E. Lelievre-Berna, P. Courtois, Ken Andersen, Phillip Bentley

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

4 Citations (SciVal)

Abstract

In this work, we present and discuss simulation results for the design of multi-channel neutron focusing guides for extreme sample environments. A single focusing guide consists of any number of supermirror-coated curved outer channels surrounding a central channel. Furthermore, a guide is separated into two sections in order to allow for extension into a sample environment. The performance of a guide is evaluated through a Monte-Carlo ray tracing simulation which is further coupled to an optimization algorithm in order to find the best possible guide for a given situation. A number of population-based algorithms have been investigated for this purpose. These include particle-swarm optimization, artificial bee colony, and differential evolution. The performance of each algorithm and preliminary results of the design of a multi-channel neutron focusing guide using these methods are described. We found that a three-channel focusing guide offered the best performance, with a gain factor of 2.4 compared to no focusing guide, for the design scenario investigated in this work.
Original languageEnglish
Title of host publicationInternational Workshop on Neutron Optics and Detectors (NOP&D 2013) 2–5 July 2013, Munich, Germany
PublisherIOP Publishing
Pages012006
Volume528
DOIs
Publication statusPublished - 2014
EventInternational Workshop on Neutron Optics and Detectors (NOP&D) - Munich, Germany
Duration: 2013 Jul 22013 Jul 5

Publication series

Name
Volume528
ISSN (Print)1742-6588
ISSN (Electronic)1742-6596

Conference

ConferenceInternational Workshop on Neutron Optics and Detectors (NOP&D)
Country/TerritoryGermany
CityMunich
Period2013/07/022013/07/05

Subject classification (UKÄ)

  • Natural Sciences
  • Physical Sciences

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