tailieunhanh - Simulation of XRF spectra employing a modified MCNP code

The Monte Carlo N-Particle code (MCNP4C2 version) has been modified for atomic relaxation in both source code and library to simulate XRF spectra for different measurement configurations. The modified code was then used to simulate XRF spectra of six metal samples: Ni, Cu, Zn, Pd, Ag, Au, and Au alloys on an XRF spectrometer. The results are compared to those of experimental measurements. | DALAT UNIVERSITY JOURNAL OF SCIENCE Volume 11 Issue 1 2021 68-79 SIMULATION OF XRF SPECTRA EMPLOYING A MODIFIED MCNP CODE Nguyen Thi Thoa Nguyen Kien Cuonga Huynh Ton Nghiema a Dalat Nuclear Research Institute Lam Dong Vietnam Corresponding author Email nguyenthoqn2002@ Article history Received June 30th 2020 Received in revised form November 15th 2020 Accepted November 25th 2020 Available online February 5th 2021 Abstract The Monte Carlo N-Particle code MCNP4C2 version has been modified for atomic relaxation in both source code and library to simulate XRF spectra for different measurement configurations. The modified code was then used to simulate XRF spectra of six metal samples Ni Cu Zn Pd Ag Au and Au alloys on an XRF spectrometer. The results are compared to those of experimental measurements. The intensity ratios of line pairs K 1 K 1 and L 1 L 1 between simulated and experimental values differ by about 4 -11 for the six single metals. The relative intensities of the Au alloys compared to AuL 1 were in the range of . The modified MCNP4C2 code is capable of forecasting the basic characteristics of new XRF designs. Keywords Atomic Relaxation MCNP4C2 Monte Carlo Simulation XRF Spectra. DOI http 2021 Article type peer-reviewed Full-length research article Copyright 2021 The author s . Licensing This article is licensed under a CC BY-NC 68 DALAT UNIVERSITY JOURNAL OF SCIENCE NATURAL SCIENCES AND TECHNOLOGY 1. INTRODUCTION Mathematical models are ineffective when solving problems of radiation transport for complex conditions of geometry materials and composition for radiation emitted from sources or generated during processing interactions. Monte Carlo simulation is the best solution for highly complex transport problems. In X-ray fluorescence XRF Monte Carlo simulation is used as a method of quantitative analysis by creating synthetic spectra of standard samples that have the same matrix .