A New Analysis Principle for EDXRF: The Monte Carlo - Library Least-Squares Analysis Principle
- 1 January 1988
- book chapter
- Published by Springer Nature
Abstract
No abstract availableThis publication has 9 references indexed in Scilit:
- Description of low‐energy peak distortion observed in X‐ray spectrometry with Si(Li) detectorsX-Ray Spectrometry, 1987
- Algorithms for Forcing Scattered Radiation to Spherical, Planar Circular, and Right Circular Cylindrical Detectors for Monte Carlo SimulationNuclear Science and Engineering, 1987
- Monte Carlo Simulation of the X-Ray Fluorescence Spectra from Multielement Homogeneous and Heterogeneous SamplesPublished by Springer Nature ,1987
- Cubic spline representation of the two-variable cumulative distribution functions for coherent and incoherent x-ray scatteringX-Ray Spectrometry, 1986
- Cubic spline techniques for fitting X-ray cross sectionsNuclear Instruments and Methods in Physics Research, 1984
- The complete spectral response for EDXRF systems—calculation by Monte Carlo and analysis applications. 1—homogeneous samplesX-Ray Spectrometry, 1982
- Monte Carlo simulation of x-ray fluorescence from homogeneous multielement samples excited by continuous and discrete energy photons from x-ray tubesAnalytical Chemistry, 1975
- Monte Carlo simulation of the X‐ray fluorescence excited by discrete energy photons in homogeneous samples including tertiary inter‐element effectsX-Ray Spectrometry, 1975
- Application of the Least-Squares Method to the Analysis of XRF Spectral Intensities from Atmospheric Particulates Collected on FiltersAdvances in X-ray Analysis, 1975