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Proceedings Paper

Monte-Carlo investigation of cell packed geometries on detection properties in wolter type square-pore micro-channel optics
Author(s): Hua Cai; Kangsheng Huang; Yong Sun; Jiuwang Wang; Hui Liu; Tiezhu Bo; Jiao Lian; Dongzhan Zhou; Yanglei Xu; Chen Wang; Jinsheng Jia
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Paper Abstract

As a two dimensional arrays of micro-channel X-ray imaging precision optics, detection efficiency and imaging quality are crucial to micro-channel optics (MPO). As a key factor of the detection efficiency and imaging quality, cell packed geometries in the Wolter type micro-channel optics were investigated in the paper. The characteristics of simulative images for different cell packed geometries were compared with the software Tracepro by ray trace method of Monte Carlo algorithm. The influences for the amount of symmetry axes, chamber types and stacked density of layers on the focal imaging characteristics and detection efficiency of Wolter type micro-channel optics were explored. The results indicated that the detection efficiency and the quality of focal imaging changing both obeyed Parabola distribution with the increasing of the numbers of symmetry axis from three to six. In the cambered stacking models, focusing images showed a petaline shape dispersion background with the same symmetry axis in non-full-cambered stacking types. In the close-packed loss model, it had a minimal and maximal impact on the detection efficiency in the outmost layer and subouter layer, respectively. Besides, characteristics of simulative images for Lobster eye micro-channel optics (L-MPO) and Wolter type micro-channel optics (W-MPO) were compared by ray trace method in this paper. Results indicated that under a constant illumination with the same cell size, the simulated detection efficiency of ideal W-MPO was over 41.0%, which was 1.3 times than that of ideal L-MPO.

Paper Details

Date Published: 12 December 2018
PDF: 7 pages
Proc. SPIE 10846, Optical Sensing and Imaging Technologies and Applications, 108460M (12 December 2018); doi: 10.1117/12.2503897
Show Author Affiliations
Hua Cai, China Building Materials Academy (China)
Kangsheng Huang, China Building Materials Academy (China)
Yong Sun, China Building Materials Academy (China)
Jiuwang Wang, China Building Materials Academy (China)
Hui Liu, China Building Materials Academy (China)
Tiezhu Bo, China Building Materials Academy (China)
Jiao Lian, China Building Materials Academy (China)
Dongzhan Zhou, China Building Materials Academy (China)
Yanglei Xu, China Building Materials Academy (China)
Chen Wang, China Building Materials Academy (China)
Jinsheng Jia, China Building Materials Academy (China)

Published in SPIE Proceedings Vol. 10846:
Optical Sensing and Imaging Technologies and Applications
Mircea Guina; Haimei Gong; Jin Lu; Dong Liu, Editor(s)

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