Correction of Ghost in Reduced ODF with Particle Swarm Optimization Algorithm

Jian Guo Tang; Xin Ming Zhang; Yun Lai Deng; Zhuo Ping Zhou

doi:10.4028/www.scientific.net/MSF.546-549.1009

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HomeMaterials Science ForumMaterials Science Forum Vols. 546-549Correction of Ghost in Reduced ODF with Particle...

Correction of Ghost in Reduced ODF with Particle Swarm Optimization Algorithm

Abstract:

The particle swarm optimization (PSO) algorithm is introduced into ghost correction, which is also compared with the NMS algorithm. With linear regression correlation factor as evaluation parameter, it is found that both algorithms have the same quality for model ODF, but when it comes to complicated textures, the PSO algorithm shows high ODF fitting quality. It is also demonstrates that the ghost peaks in the reduced ODF can be excluded out in the true ODF from PSO components with both even and odd terms in the series expansion method.

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Periodical:

Materials Science Forum (Volumes 546-549)

Pages:

1009-1014

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.546-549.1009

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Online since:

May 2007

Authors:

Jian Guo Tang, Xin Ming Zhang, Yun Lai Deng, Zhuo Ping Zhou

Keywords:

Gauss Component, Ghost Correction, Particle Swarm Optimization Algorithm (PSO), Texture

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