Method and apparatus for pattern correction and verification
A method including providing a plurality of unit cells for a plurality of gauge patterns appearing in one or more images of one or more patterning process substrates, each unit cell representing an instance of a gauge pattern of the plurality of gauge patterns, averaging together image information of each unit cell to arrive at a synthesized representation of the gauge pattern, and determining a geometric dimension of the gauge pattern based on the synthesized representation.
1. A method comprising:
providing a plurality of unit cells for a plurality of gauge patterns appearing in one or more images of one or more patterning process substrates, each unit cell representing an instance of a gauge pattern of the plurality of gauge patterns;
averaging together, by a computer processor, image information of each unit cell extracted from the one or more images to arrive at a synthesized representation of the gauge pattern; and
determining a geometric dimension of the gauge pattern based on the synthesized representation.
2. The method of claim 1 , further comprising defining a contour of the gauge pattern in the synthesized representation.
3. The method of claim 2 , wherein the determining comprises determining the geometric dimension from the contour, and/or wherein the determining comprises determining the geometric dimension by sampling the contour.
4. The method of claim 1 , further comprising providing a plurality of images, each image corresponding to a different measurement capture orientation, and wherein the averaging comprises averaging image information from each image corresponding to a different measurement capture orientation to arrive at a synthesized representation of the gauge pattern for each of the measurement capture orientations, and averaging the synthesized representations of the gauge pattern for the different measurement capture orientations to arrive at a combined synthesized representation of the gauge pattern for the different measurement capture orientations.
5. The method of claim 1 , further comprising, prior to processing the image to identify the plurality of unit cells, applying a spatial correction to the image.
6. The method of claim 5 , wherein the spatial correction comprises one or more selected from: skew, magnification, rotation, curvature, and/or trapezoid.
7. The method of claim 1 , further comprising sweeping the image to obtain at least two signals and differencing the at least two signals to suppress image artifacts.
8. The method of claim 1 , further comprising analyzing subset of a set of images to identify at least one pattern for correction of distortion in the pattern and applying the distortion correction to the set of images.
9. The method of claim 1 , further comprising processing the image to identify the plurality of unit cells using a pattern edge technique.
10. The method of claim 1 , further comprising evaluating the synthesized representation to identify whether there is an error in the image information and/or in a definition of the unit cells.
11. The method of claim 1 , further comprising using the geometric dimension to calibrate or create a mathematical model representing an aspect of a patterning process, and/or using the geometric dimension to verify a mathematical model representing an aspect of a patterning process, the model calibrated with a different pattern than the gauge pattern.
12. The method of claim 11 , wherein the model comprises an OPC model and further comprising using the model with a device design layout to arrive at a corrected device design layout.
13. The method of claim 1 , further comprising using the geometric dimension to calibrate, verify, or otherwise adjust a pattern prediction model.
14. A non-transitory computer program product comprising machine-readable instructions configured to cause a processor system to at least:
provide a plurality of unit cells for a plurality of gauge patterns appearing in one or more images of one or more patterning process substrates, each unit cell representing an instance of a gauge pattern of the plurality of gauge patterns;
average together, by the processor system, image information of each unit cell extracted from the one or more images to arrive at a synthesized representation of the gauge pattern; and
determine a geometric dimension of the gauge pattern based on the synthesized representation.
15. A system comprising:
a scanning electron microscope configured to provide an image of a lithographically created structure; and
an image analysis engine comprising the non-transitory computer program product of claim 14 .
16. A method comprising:
determining, by a hardware computer system, a SEM image metric for a portion of a SEM image of a pattern produced by a patterning process on a substrate; and
determining, by the hardware computer system, a weighting factor for a model error function based on the SEM image metric.
17. The method of claim 16 , wherein the SEM image comprises a unit cell synthesis of a plurality of SEM images of the pattern.
18. The method of claim 17 , wherein the unit cell synthesis is based on SEM images made using multiple SEM measurement orientations.
19. The method of claim 16 , wherein the SEM image metric comprises a SEM image gradient and/or a SEM image contrast.
20. The method of claim 16 , further comprising obtaining the weighting factor for each position of a plurality of sampled positions along a cutline across an edge of a contour of the SEM image of the pattern.
21. A non-transitory computer program product comprising machine-readable instructions configured to cause a processor system to at least:
determine a SEM image metric for a portion of a SEM image of a pattern produced by a patterning process on a substrate; and
determine a weighting factor for a model error function based on the SEM image metric.