X Ray Diffraction Calibration via Dispersion Functions
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Solution Overview
Problem
Current Energy Dispersive X-Ray Diffraction (EDXRD) spectrometry techniques face challenges in accurately analyzing non-homogeneous objects by distinguishing between different materials within a single object due to limitations in spatial resolution and angular dispersion, leading to incomplete material composition identification.
Innovation Solution
A calibration method for analyzing objects using ionizing electromagnetic radiation, which involves irradiating a calibration object, moving it to successive positions, and acquiring energy spectra to determine dispersion functions representing intensity and scattering angle dispersion, allowing for the identification of characteristic peaks and calculation of spatial and angular dispersion functions to improve material composition analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the observation field is increased to detect more scattered radiation, then the quantity of scattered radiation detected is improved, but the measurement precision of scattering angle deteriorates
Solution Approach 1:
The patent divides the object into multiple elementary volumes along the propagation axis and determines a dispersion function for each pixel that characterizes the relationship between position and scattering angle. This segmentation allows the system to process signals from different spatial regions separately, maintaining angle precision while detecting radiation from a larger overall volume.
Solution Approach 2:
The patent introduces dispersion functions that depend on multiple parameters (pixel position, object position, scattering angle) to characterize the detection system's response. By determining these functions through calibration with a movable calibration object, the system can accurately relate detected radiation to specific spatial and angular parameters, resolving the contradiction between volume and precision.
2Volume of stationary object
If the detector detects photons scattered by different parts of the object with different scattering angles, then the volume of the observed object is improved, but the measurement precision of spectral signature determination deteriorates
Solution Approach 1:
The patent segments the object into elementary volumes and uses dispersion functions to associate detected radiation with specific spatial and angular characteristics. This allows the system to process signals from different object regions separately, maintaining spectral signature accuracy while analyzing larger object volumes.
Solution Approach 2:
The patent introduces dispersion functions as intermediary mathematical relationships that connect the detector's measured signals to the physical parameters of the object (position, scattering angle, spectral signature). These functions act as mediators that enable accurate interpretation of mixed signals from different object regions.
3Measurement precision
If a calibration procedure is performed to determine dispersion functions, then the spatial resolution and material identification accuracy are improved, but the complexity of the device increases
Solution Approach 1:
The patent performs calibration in advance to determine dispersion functions before actual object analysis. This preliminary action establishes the mathematical relationships needed for accurate measurement, allowing the main analysis phase to proceed efficiently without repeated calibration complexity.
Solution Approach 2:
The calibration procedure uses a simple calibration object with known scattering characteristics that the system itself can analyze. The system determines its own dispersion functions through self-calibration, avoiding the need for external calibration equipment or complex external procedures.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method enhances the ability to spatially resolve and analyze the composition of objects by determining precise dispersion functions, enabling more accurate identification of materials within elementary volumes and improving the detection of scattered radiation patterns.
Implementation Method 1
Energy Dispersive X Ray Diffraction (EDXRD) spectrometry is a nondestructive analysis technique used for the identification of materials constituting an object. This technique is based on the elastic scattering of an ionizing electromagnetic radiation, also termed Rayleigh scattering.
Implementation Method 2
a detector including at least one pixel and adapted to detect radiation scattered by the object irradiated in this way and to acquire an energy spectrum thereof
Data Source
AI summary
The invention is a method of calibrating an X ray diffraction measuring system. The method includes moving a so-called calibration object along a propagation axis along which an irradiation beam propagates, the calibration object being adapted to occupy a plurality of successive positions along that axis. At each position of the object a spectrometry detector including at least one pixel acquires a spectrum of scattering radiation emitted by the object at an acute angle relative to the propagation axis. The method includes, in various spectra corresponding to various respective positions of the object, the identification of a so-called calibration peak and obtaining a parameter of said peak, which parameter can be the intensity or the energy of said peak. The parameters obtained on the various peaks then make it possible to establish an associated pixel dispersion function.