Pattern selection for lithographic model calibration
First Claim
1. A computer-implemented method of test pattern selection for computational lithography model calibration, the method comprising:
- preparing a sensitivity matrix having matrix elements corresponding to, and thereby defining a sensitivity relationship between, a pool of candidate test patterns and a set of model parameters, wherein the matrix elements quantify how changes in measurements from imaging the test patterns using a lithographic process corresponding to the set of model parameters are induced by changes in the set of model parameters;
performing calculations using the sensitivity matrix; and
selecting, by the computer, a set of test patterns from the pool of candidate test patterns based on the calculations using the sensitivity matrix.
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Abstract
The present invention relates generally to methods and apparatuses for test pattern selection for computational lithography model calibration. According to some aspects, the pattern selection algorithms of the present invention can be applied to any existing pool of candidate test patterns. According to some aspects, the present invention automatically selects those test patterns that are most effective in determining the optimal model parameter values from an existing pool of candidate test patterns, as opposed to designing optimal patterns. According to additional aspects, the selected set of test patterns according to the invention is able to excite all the known physics and chemistry in the model formulation, making sure that the wafer data for the test patterns can drive the model calibration to the optimal parameter values that realize the upper bound of prediction accuracy imposed by the model formulation.
16 Citations
20 Claims
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1. A computer-implemented method of test pattern selection for computational lithography model calibration, the method comprising:
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preparing a sensitivity matrix having matrix elements corresponding to, and thereby defining a sensitivity relationship between, a pool of candidate test patterns and a set of model parameters, wherein the matrix elements quantify how changes in measurements from imaging the test patterns using a lithographic process corresponding to the set of model parameters are induced by changes in the set of model parameters; performing calculations using the sensitivity matrix; and selecting, by the computer, a set of test patterns from the pool of candidate test patterns based on the calculations using the sensitivity matrix. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer-implemented method of test pattern selection for computational lithography model calibration, the method comprising:
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developing a sensitivity matrix that corresponds to a cost function associated with accuracy of a lithography model, wherein the sensitivity matrix establishes a relationship between a pool of candidate test patterns and a set of parameters of the lithography model, and wherein the sensitivity matrix comprises matrix elements that quantify how changes in measurements from imaging the test patterns using a lithographic process corresponding to the lithography model are induced by changes in the set of parameters of the lithography model; and selecting, by the computer, a set of test patterns from the pool of candidate test patterns by performing calculations on the sensitivity matrix. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification