Mineral identification using mineral definitions including variability
First Claim
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1. A method of spectrum data analysis to determine the composition of a sample of unknown mineral composition, the method comprising:
- directing an electron beam toward the sample of unknown composition;
measuring the energy of x-rays emitted from the sample to acquire an x-ray spectrum of the sample;
fitting multiple, non-contiguous portions of the acquired x-ray spectrum to corresponding portions of high quality spectra of known materials and obtaining a similarity metric for each portion for each of the high quality spectra;
combining the similarity metrics of the individual portions for each high quality spectrum to determine an overall similarity metric between the spectrum of the sample and each high quality spectra of known material; and
identifying the unknown material as the material corresponding to the high quality spectrum having the best similarity metric which meets a specified threshold,in which fitting multiple, non-contiguous portions of the acquired x-ray spectrum to corresponding portions of high quality spectra includes fitting portion containing essentially single peaks in either spectrum.
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Abstract
An improved mineral analysis system includes mineral definitions that include not only characteristics of the minerals, but also variability in those characteristics. The variabilities allow the calculation of ranges of expected values for different quality of measurements, for example, for different numbers of x-ray counts. Match probabilities can therefore be calculated to more accurately determine the composition of a mineral sample.
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Citations
3 Claims
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1. A method of spectrum data analysis to determine the composition of a sample of unknown mineral composition, the method comprising:
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directing an electron beam toward the sample of unknown composition; measuring the energy of x-rays emitted from the sample to acquire an x-ray spectrum of the sample; fitting multiple, non-contiguous portions of the acquired x-ray spectrum to corresponding portions of high quality spectra of known materials and obtaining a similarity metric for each portion for each of the high quality spectra; combining the similarity metrics of the individual portions for each high quality spectrum to determine an overall similarity metric between the spectrum of the sample and each high quality spectra of known material; and identifying the unknown material as the material corresponding to the high quality spectrum having the best similarity metric which meets a specified threshold, in which fitting multiple, non-contiguous portions of the acquired x-ray spectrum to corresponding portions of high quality spectra includes fitting portion containing essentially single peaks in either spectrum. - View Dependent Claims (2, 3)
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Specification