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Artificial Neural Networks Based Method for Measuring the Distance between Two Metal Plates Using Compton Scattering

  • X-RAY METHODS
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Abstract

One of the major problems for the determination of the distance between two metal plates based on Compton scattering is complicated calculations. This method needs to consider many parameters and relations between them. The accuracy of the method strongly depends on the thicknesses and materials of the plates. As a result, the device must be calibrated for all possible different plate thicknesses so that by knowing some input conditions and using complex interpolation methods, the count recorded in the detector can be converted to a distance between two plates. In this condition, employing artificial neural networks can be a powerful alternative for the difficult calibration and analytical interpolation procedure. In this paper, an artificial neural network consisting of a three-layer perceptron was developed and trained for identifying the distance between steel and aluminum plates with thicknesses ranging from 1 to 10 mm. In the proposed method, a Cs-137 gamma-ray source with an activity of 35 μCi was used.

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  1. Radiation Application Research School, Nuclear Science and Technology Research Institute, Tehran, Iran

    M. T. Sasanpour & A. Taheri

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  1. M. T. Sasanpour
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  2. A. Taheri
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Correspondence to A. Taheri.

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Sasanpour, M.T., Taheri, A. Artificial Neural Networks Based Method for Measuring the Distance between Two Metal Plates Using Compton Scattering. Russ J Nondestruct Test 58, 598–606 (2022). https://doi.org/10.1134/S1061830922070087

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  • DOI: https://doi.org/10.1134/S1061830922070087

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