1 May 2004 Self-adaptive reconstruction algorithm for emission spectral volume tomography
Author Affiliations +
Optical Engineering, 43(5), (2004). doi:10.1117/1.1690282
Abstract
A novel self-adaptive volume reconstruction technique (SVRT) based on multiobjective optimization is proposed. Its reconstruction results for asymmetrical 3-D single-peak cosine emission coefficient fields are studied with the numerical simulation of a computer. The results show that this algorithm has faster convergences and higher reconstruction precision, and can reconstruct asymmetrical single-peak cosine emission coefficient fields perfectly with only two views. (The average error is 0.18% with no noise data.) In the experiment of argon-arc plasma diagnosis, the 3-D reconstructions of temperature and ionization coefficient fields are fulfilled with this algorithm combined with the spectrum relative-intensity method.
Xiong Wan, Shenling Yu, Yiqing Gao, Quanshui Zhu, "Self-adaptive reconstruction algorithm for emission spectral volume tomography," Optical Engineering 43(5), (1 May 2004). http://dx.doi.org/10.1117/1.1690282
JOURNAL ARTICLE
7 PAGES


SHARE
KEYWORDS
Reconstruction algorithms

Plasma

Computer simulations

Ionization

Head

Tomography

Plasma diagnostics

Back to Top