Monte Carlo Simulation of Energy-dispersive X-ray Fluorescence and Applications
Four key components with regards to Monte Carlo Library Least Squares (MCLLS) have been developed by the author. These include: a comprehensive and accurate Monte Carlo simulation code - CEARXRF5 with Differential Operators (DO) and coincidence sampling, Detector Response Function (DRF), an integrated Monte Carlo - Library Least-Squares (MCLLS) Graphical User Interface (GUI) visualization System (MCLLSPro) and a new reproducible and flexible benchmark experiment setup. All these developments or upgrades enable the MCLLS approach to be a useful and powerful tool for a tremendous variety of elemental analysis applications.Top left diagram demonstrates an outside excitation photon knocks one electron from K shell out of the atom and creates ... used as a source for a subsequent electron transport calculation, or their energy can just be added to the local heating.
| Title | : | Monte Carlo Simulation of Energy-dispersive X-ray Fluorescence and Applications |
| Author | : | |
| Publisher | : | ProQuest - 2008 |
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