Applying dimensional reduction to spectral data from polishing substrates
US-9833874-B2 · Dec 5, 2017 · US
US10086492B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10086492-B2 |
| Application number | US-201715818366-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 20, 2017 |
| Priority date | Oct 25, 2013 |
| Publication date | Oct 2, 2018 |
| Grant date | Oct 2, 2018 |
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A plurality of spectra reflected from one or more substrates at a plurality of different positions on the one or more substrates are represented in the form of a first matrix, and the first matrix is decomposed into products of at least two component matrixes of a first set of component matrixes. The dimensions of each of the at least two component matrixes is reduced to produce a second set of component matrixes containing the at least two matrixes with reduced dimensions.
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What is claimed is: 1. A method of polishing comprising: polishing a substrate with a rotating polishing pad in a polishing system; measuring a plurality of spectra of light reflected from the substrate during polishing with an in-situ spectrographic monitoring system, the plurality of spectra represented in the form of a first matrix, decomposing the first matrix into products of at least two component matrixes of a first set of component matrixes, a first component matrix of the at least two component matrixes providing eigenvectors for the first matrix; reducing dimensions of each of the at least two component matrixes to produce a second set of component matrixes containing the at least two matrixes with reduced dimensions, the at least two matrixes including the first component matrix with reduced dimensions; generating a product of the first component matrix with reduced dimensions and a matrix representing one or more spectra; and controlling the polishing system based on the product. 2. The method of claim 1 , wherein decomposing the first matrix comprises applying singular value decomposition, applying CUR matrix approximation, or applying principal component analysis. 3. The method of claim 1 , comprising generating a characterizing value based on the product, the characterizing value being associated with a property of the substrate, and controlling a polishing operation based on the characterizing value. 4. The method of claim 3 , comprising determining a polishing endpoint for the substrate based on the characterizing value. 5. A computer program product for controlling processing of a substrate, the computer program product tangibly embodied in a non-transitory computer readable media and comprising instructions for causing a processor to: store a first component matrix that represents eigenvectors generated by decomposing a first matrix formed by a plurality of spectra into at least two component matrixes to produce a second set of component matrixes and reducing a dimension of the at least two component matrixes; receive, from an in-situ optical monitoring system, a measured spectrum of light reflected from a substrate undergoing processing that modifies a thickness of an outer layer of the substrate; generate a product of the first component matrix with reduced dimensions and a matrix representing the measured spectrum; and control a polishing system based on the product. 6. The computer program product of claim 5 , comprising instructions to generate a characterizing value based on the product, the characterizing value being associated with a property of the substrate, and to control the polishing system based on the characterizing value. 7. The computer program product of claim 6 , comprising instructions to determine a polishing endpoint for the substrate based on the characterizing value. 8. A polishing system, comprising: a rotatable support to hold a polishing pad; a carrier head to hold a substrate in contact with the polishing pad; a motor to rotate the support; an in-situ spectrographic monitoring system configured to measure a spectrum of light reflected from the substrate during polishing; and a controller configured to store a first component matrix that represents eigenvectors generated by decomposing a first matrix formed by a plurality of spectra into at least two component matrixes to produce a second set of component matrixes and reducing a dimension of the at least two component matrixes; receive, from the in-situ spectrographic monitoring system, a measured spectrum of light reflected from a substrate undergoing polishing; generate a product of the first component matrix with reduced dimensions and a second matrix representing the measured spectrum; and control the polishing system based on the product. 9. The system of claim 8 , wherein the controller is configured to generate a characterizing value based on the second matrix, the characterizing value being associated with a property of the substrate, and to control the polishing system based on the characterizing value. 10. The system of claim 9 , wherein the controller is configured to determine a polishing endpoint for the substrate based on the characterizing value. 11. The system of claim 8 , wherein the controller is configured to receive measurements of a plurality of spectra of light reflected from a substrate during polishing with the in-situ spectrographic monitoring system, the plurality of spectra represented in the form of a first matrix, decompose the first matrix into products of at least two component matrixes of a first set of component matrixes, a first component matrix of the at least two component matrixes providing eigenvectors for the first matrix, and reducing dimensions of each of the at least two component matrixes to produce a second set of component matrixes containing the at least two matrixes with reduced dimensions. 12. The system of claim 11 , wherein he controller is configured to decompose the first matrix by applying singular value decomposition, applying CUR matrix approximation, or applying principal component analysis.
comprising acting in response to an ongoing measurement without interruption of processing, e.g. endpoint detection or in-situ thickness measurement · CPC title
Structural properties, e.g. testing or measuring thicknesses, line widths, warpage, bond strengths or physical defects · CPC title
characterised by multiple measurements, corrections, marking or sorting processes · CPC title
of semiconductor materials · CPC title
Devices or means for detecting lapping completion · CPC title
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