Calculation and comparison of proton stopping power in different targets using RBF and MLP neural networks

Document Type : Original Article

Authors

Department of Nuclear Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran

Abstract

Calculation of stopping power and range of different ions is extremely important due to their special importance at controversy of shielding and health physics. Although the so-called Bethe-Bloch relationship describes well how to reduce the energy of particles, the difference in the interaction mechanisms of ions and light and heavy particles in a wide range of energy values causes that the accurate estimation of this relationship requires various corrections. In this article, in order to simulate stopping power changes in terms of proton inclining beam energy with different ions, artificial neural network and multilayer perceptron techniques will be used. And high efficiency of suggested way for stopping power and range and valid artificial model are achieved by comparing results of the neural network with results of calculating SRIM code and also available experimental data.

Keywords

References

  1. H. Cember, Th. E. Johnson. Introduction to Health Physics, 4th ed., Mc Graw Hill, New York,1976.
  2. W. R. Leo. Techniques for Nuclear and Particle Physics Experiments. Springer-Verlag New York Berlin Heidelberg, 1993.
  3. J. F. Ziegler, J. P. Biersack, M. D. Ziegler, The Stopping and Range of Ions in Solids. Springer-Verlag Berlin Heidelberg, 1985.
  4. H. H. Andersen, J. F. Ziegler. Helium Stopping Powers and Ranges in All Elements. Pergamon Press, New York, 1977.
  5. N. Tsoulfanidis. Measurement and Detection of Radiation. Taylor & Francis, Washington, 1976.
  6. M. Kheradmand Saadi, R. Machrafi, Development of a new code for stopping power and CSDA range calculation of incident charged particles, part A: Electron and positron. Appl. Radiat. Isot. 161 (2020) 109145.
  7. http://www.srim.org
  8. M. Berger, J. Coursey, M. Zucker. ESTAR, PSTAR, and ASTAR: Computer Programs for Calculating Stopping-Power and Range Tables for Electrons, Protons, and Helium Ions (version 1.21). National Institute of Standards and Technology, Gaithersburg, MD, 1999.
  9. T. Martin, B. Hagan. Neural Network Design, Mark Beale MHB. Inc. PWS Publishing Company, 2000.
  10. J. A. Anderson, L. A. Zadeh. Neural Network and Fuzzy Systems. Prentice-Hall, Englewood Cliff, NJ 07632, 1992.
  11. M. M. Li, B. Verma. Nonlinear curve fitting to stopping power data using RBF neural networks. Expert Syst. Appl. 45 (2016) 161-171.
  12. MATLAB 7. Neural network toolbox user's guide. Math Works Inc, 2009.
  13. https://www-nds.iaea.org/stopping/

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