International Workshop on Neutron Optics and Detectors | |
Optimization of multi-channel neutron focusing guides for extreme sample environments | |
Di Julio, D.D.^1 ; Lelièvre-Berna, E.^1 ; Courtois, P.^2 ; Andersen, K.H.^1 ; Bentley, P.M.^1,3 | |
European Spallation Source ESS AB, PO Box 176, SE-221 00 Lund, Sweden^1 | |
Institut Laue-Langevin, 6 rue Jules Horowitz, 38042 Grenoble Cedex 9, France^2 | |
Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden^3 | |
关键词: Artificial bee colonies; Central channels; Differential Evolution; Monte-Carlo ray tracing; Neutron focusing; Optimization algorithms; Population-based algorithm; Sample environment; | |
Others : https://iopscience.iop.org/article/10.1088/1742-6596/528/1/012006/pdf DOI : 10.1088/1742-6596/528/1/012006 |
|
来源: IOP | |
![]() |
【 摘 要 】
In this work, we present and discuss simulation results for the design of multichannel 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.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
Optimization of multi-channel neutron focusing guides for extreme sample environments | 630KB | ![]() |