Deconvolution of positron annihilation coincidence Doppler broadening spectra using an iterative projected Newton method with non-negativity constraints

被引:5
作者
Ho, KF
Beling, CD
Fung, S
Cheng, VKW
Ng, MK
Yip, AM
机构
[1] Univ Hong Kong, Dept Phys, Hong Kong, Hong Kong, Peoples R China
[2] Univ Hong Kong, Dept Math, Hong Kong, Hong Kong, Peoples R China
[3] Univ Calif Los Angeles, Dept Math, Los Angeles, CA 90095 USA
关键词
D O I
10.1063/1.1619547
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
A generalized least-square method with Tikonov-Miller regularization and non-negativity constraints has been developed for deconvoluting two-dimensional coincidence Doppler broadening spectroscopy (CDBS) spectra. A projected Newton algorithm is employed to solve the generalized least-square problem. The algorithm has been tested on Monte Carlo generated spectra to find the best regularization parameters for different simulated experimental conditions. Good retrieval of the underlying positron-electron momentum distributions in the low momentum region is demonstrated. The algorithm has been successfully used to deconvolute experimental CDBS data from aluminum. (C) 2003 American Institute of Physics.
引用
收藏
页码:4779 / 4787
页数:9
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