Evaluation of the effectiveness of the hyperplane method in the problem of partial identification of an unknown substances |
Nazarov V.G. |
2023, issue 2, P. 222-239 DOI: https://doi.org/10.47910/FEMJ202319 |
Abstract |
The problem of partial identification of a homogeneous medium of unknown chemical composition is investigated. The medium is subjected to repeated transillumination by X-ray fluxes collimated in energy and direction. According to the results of measuring the flux density of radiation entering and leaving the medium, it is necessary to establish the difference in the chemical composition of the medium from some in advance given substances. It is assumed that the measurements of radiation fluxes contain errors for which their maximum relative values are known. As a mathematical basis for the study the method of hyperplanes proposed earlier by the author is taken. The results of numerical calculations performed for problems of various dimensions and for a number of groups of specific chemical elements. Numerical estimates have been obtained for several groups of organic substances, under which any two substances will be successfully distinguished from each other by the results one single measurement experiment on transillumination. Using the hyperplane method in the identification problem for groups of organic substances showed enough high efficiency. As a result of computer calculations, it is shown that that any of the 1287 considered pairs of organic substances is well distinguishable if the total relative measurement error of the probing radiation flux does not exceed 9.726 \%. The analysis of the dependence of the mass attenuation coefficients of radiation from the atomic number for all chemical elements of the periodic system has been carried out and conclusions about the behavior of the identification accuracy with an increase in the dimension of the problem were done. A justification is given that the hyperplane method will be effective in solving the problem of identification for other groups of chemical elements and identification accuracy does not get worse as the dimension of the problem increases. |
Keywords: numerical simulation, continuum radiography, identification of the chemical composition of a substance, accuracy of calculations. |
Download the article (PDF-file) |
References |
[1] Osama Mhmood Hamed Ahmed, YuShou Song, Zhaoyang Xie, “Material Identification Approach Based on the Counting Technique and Beam Hardening Correction Under Industrial X-Ray Computed Tomography: a Simulation Study”, Brazilian Journal of Physics, 52:26, (2022). [2] S. P. Osipov, V. A. Udod, Wang Yanzhao, “Identification of Materials in X-Ray Inspections of Objects by the Dual-Energy Method”, Russian Journal of Nondestructive Testing, 53:8, (2017), 568–587. [3] S. P. Osipov, S. V. Chakhlov, A. V Batranin, O. S Osipov, Trinh Van Bak, J. Kytmanov, “Theoretical study of a simplified implementation model of a dual-energy technique for computed tomography”, NDT & E International, 98, (2018), 63–69. [4] S. P. Osipov, A. K. Temnik, S. V. Chakhlov, “Vliianie fizicheskikh faktorov na kachestvo identifikatsii veshchestv ob"ektov kontrolia vysokoenergeticheskim metodom dual'nykh energii”, Defektoskopiia, 2014, № 8, 69–77. [5] V. G. Nazarov, “Metod giperploskostei v zadache identifikatsii neizvestnogo veshchestva”, Sib. zhurn. industr. matematiki, 24:3, (2021), 39–54. [6] V. G. Nazarov, “Zadacha chastichnoi identifikatsii neizvestnogo veshchestva”, Dal'nevostochnyi matematicheskii zhurnal, 19:1, (2019), 43–62. [7] V. G. Nazarov, “Otsenka tochnosti vychislenii v zadache chastichnoi identifikatsii veshchestva”, Sib. zhurn. industr. matematiki, 23:3, (2020), 91–104. [8] J. H. Hubbell, S. M. Seltzer, “Tables of X–Ray Mass Attenuation Coefficients and Mass Energy Absorption Coefficients 1 Kev to 20 Mev for Elements Z = 1 to 92 and 48 Additional Substances of Dosimetric Interest. Gaithersburg. MD. (Preprint / NISTIR-5632. National Institute of Standards and Technology).”, 1995. [9] M. J. Berger, J. H. Hubbell, S. M. Seltzer, J. Chang, J. S. Coursey, R. Sukumar, D. S. Zucker, “XCOM: Photon Cross Section Database // Gaithersburg: National Institute of Standards and Technology”, 2005. [10] D. S. Anikonov, A. E .Kovtanyuk, I. V. Prokhorov, Transport Equation and Tomography, VSP, Utrecht-Boston, 2002. [11] V. G. Nazarov, “Nekotorye otsenki oshibok v zadachakh radiografii sploshnoi sredy”, Dal'nevostochnyi matematicheskii zhurnal, 20:1, (2020), 82–89. [12] A. I. Volkov, I. M. Zharskii, Bol'shoi khimicheskii spravochnik, Sovremennaia shkola, Minsk, 2005. [13] I. L. Knuniants (gl. red.), Khimicheskaia entsiklopediia: V 5t, Sov. entsikl., M., 1988. |