<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The process of identification of radioactive isotopes using gamma ray spectrum produced by scintillation detectors is a fundamental problem in physics. Military applications also require fast and efficient methods, especially in field conditions, for identifying unknown isotopes. The fundamental problem is the relationship between the observed gamma ray spectrum given by the detector and the real spectrum. This problem can be treated as a mathematical problem. The relationship between the real and the observed spectrum can be described by a linear algebraic equation system. In the previous article Cholesky-decomposition has been applied. In this article one more independent mathematical tool is proposed to solve the linear system efficiently.</p></abstract>

The process of identification of radioactive isotopes using gamma ray spectrum produced by scintillation detectors is a fundamental problem in physics. Military applications also require fast and efficient methods, especially in field conditions, for identifying unknown isotopes. The fundamental problem is the relationship between the observed gamma ray spectrum given by the detector and the real spectrum. This problem can be treated as a mathematical problem. The relationship between the real and the observed spectrum can be described by a linear algebraic equation system. In the previous article Cholesky-decomposition has been applied. In this article one more independent mathematical tool is proposed to solve the linear system efficiently.

Deconvolution of Gamma Ray Spectra Using Singular Value Decomposition of Matrices

Land Forces Academy Review

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

The process of identification of radioactive isotopes using gamma ray spectrum produced by scintillation detectors is a fundamental problem in physics....

Deconvolution of Gamma Ray Spectra Using Singular Value Decomposition of Matrices

Publié en ligne: 22 juin 2020

Pages: 136 - 145

DOI: https://doi.org/10.2478/raft-2020-0017

Mots clés
gamma ray spectrum, deconvolution, singular value decomposition, active set method, Matlab

© 2020 Laszlo Hanka, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Deconvolution of Gamma Ray Spectra Using Singular Value Decomposition of Matrices

Publié en ligne: 22 juin 2020

Pages: 136 - 145

DOI: https://doi.org/10.2478/raft-2020-0017

Mots clésgamma ray spectrum, deconvolution, singular value decomposition, active set method, Matlab

© 2020 Laszlo Hanka, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Mots clés
gamma ray spectrum, deconvolution, singular value decomposition, active set method, Matlab