Inverse iteration algorithm for neutron depth profiling

Inverse iteration algorithm for neutron depth profiling

This work is based on the method of Monte Carlo simulation and probabilistic inversion for neutron depth profiling. The depth and concentration distribution of boron in a silicon matrix material is calculated. According to NDP experimental configuration at CARR, the energy spectra of a standard samp...

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Veröffentlicht in:Journal of radioanalytical and nuclear chemistry 2018-07, Vol.317 (1), p.81-85
Hauptverfasser: Shi, Cong, Xiao, Cai-jin, Yao, Yong-gang, Yun, Wei-xu, Ni, Bang-fa, Jin, Xiang-chun, Wang, Ping-sheng, Zhang, Qing-xian, Liu, Xu-dong, Tang, Chan-juan, Ge, Liang-quan
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Boron
Chemistry
Chemistry and Materials Science
Computer simulation
Depth profiling
Diagnostic Radiology
Energy spectra
Hadrons
Heavy Ions
Inorganic Chemistry
Iterative algorithms
Mathematical analysis
Monte Carlo methods
Monte Carlo simulation
Neutron depth profiling
Nuclear Chemistry
Nuclear energy
Nuclear Physics
Nuclear reactors
Physical Chemistry
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Beschreibung
Zusammenfassung:This work is based on the method of Monte Carlo simulation and probabilistic inversion for neutron depth profiling. The depth and concentration distribution of boron in a silicon matrix material is calculated. According to NDP experimental configuration at CARR, the energy spectra of a standard sample (SRM2137) are measured and simulated using MCNP and Geant4 software, and the concentration-depth profile of boron in SRM2137 is obtained by adopting an inverse iteration method through MATLAB software. It is shown that the inverse iteration calculation for NDP is feasible.
ISSN:0236-5731
1588-2780
DOI:10.1007/s10967-018-5786-4