Systems and methods of optimal metrology guidance
Systems and methods for optimal electron beam metrology guidance are disclosed. According to certain embodiments, the method may include receiving an acquired image of a sample, determining a set of image parameters based on an analysis of the acquired image, determining a set of model parameters based on the set of image parameters, generating a set of simulated images based on the set of model parameters. The method may further comprise performing measurement of critical dimensions on the set of simulated images and comparing critical dimension measurements with the set of model parameters to provide a set of guidance parameters based on comparison of information from the set of simulated images and the set of model parameters. The method may further comprise receiving auxiliary information associated with target parameters including critical dimension uniformity.
1. A metrology guidance system comprising:
a memory storing a set of instructions; and
one or more processors configured to execute the set of instructions to cause the metrology guidance system to:
determine a set of one or more image parameters based on an analysis of an acquired image;
determine a set of one or more model parameters based on the set of one or more image parameters;
generate a set of one or more simulated images based on the set of one or more model parameters;
analyze the set of one or more simulated images; and
output a set of one or more guidance parameters based on an analysis of the set of one or more simulated images and the set of one or more model parameters.
2. The system of claim 1 , wherein the set of one or more simulated images includes only a single simulated image.
3. The system of claim 1 , wherein the analysis comprises a comparison of information from the set of one or more simulated images and the set of one or more model parameters.
4. The system of claim 3 , wherein the information from the set of one or more simulated images comprises critical dimension measurement results.
5. The system of claim 1 , wherein at least one of the set of one or more image parameters, the set of one or more model parameters, or the set of one or more guidance parameters comprises a single parameter.
6. The system of claim 1 , wherein the analysis of the set of one or more simulated images further comprises:
measurement of critical dimensions on the set of one or more simulated images; and
a comparison of critical dimension measurements with the set of one or more model parameters.
7. The system of claim 1 , wherein the set of one or more image parameters comprises any of noise levels, a pattern of interest, line roughness, or an edge profile.
8. The system of claim 1 , wherein the set of one or more model parameters is determined from the set of one or more image parameters based on a quality metric.
9. The system of claim 1 , wherein the set of one or more model parameters being determined from the set of one or more image parameters is based on a plurality of quality metrics.
10. The system of claim 1 , wherein the plurality of quality metrics comprises any of a local noise level, a global noise level, edge profile statistics, or a pattern structure.
11. The system of claim 1 , wherein the set of one or more guidance parameters comprises any of a recommended imaging parameter, a critical dimension uniformity parameter, a measurement precision, repeatability, or a measurement accuracy.
12. The system of claim 1 , wherein the one or more processors are configured to execute the set of instructions to further cause the metrology guidance system to:
receive auxiliary information associated with target parameters; and
analyze the acquired image based on the received auxiliary information.
13. The system of claim 12 , wherein the target parameters comprise any of a targeted pitch, targeted critical dimension uniformity, a targeted pattern, or a targeted measurement precision.
14. A metrology guidance method, comprising:
receiving an acquired image of a sample;
determining a set of one or more image parameters based on an analysis of the acquired image;
determining a set of one or more model parameters based on the set of image parameters;
generating a set of one or more simulated images based on the set of one or more model parameters; and
providing a set of guidance parameters based on an analysis of the set of one or more simulated images and the set of one or more model parameters.
15. The method of claim 14 , wherein the set of one or more simulated images includes only a single simulated image.
16. The method of claim 14 , wherein analyzing the set of one or more simulated images and the set of one or more model parameters comprises comparing information from the set of one or more simulated images and the set of one or more model parameters.
17. The method of claim 16 , wherein the information from the set of one or more simulated images comprises critical dimension measurement results.
18. The method of claim 14 , further comprising determining the set of one or more model parameters from the set of one or more image parameters based on a quality metric.
19. The method of claim 14 , further comprising determining the set of one or more model parameters from the set of one or more image parameters based on a plurality of quality metrics.
20. The method of claim 14 , wherein the set of one or more guidance parameters comprises any of recommended imaging parameters, critical dimension uniformity parameters, measurement precision, repeatability, or measurement accuracy.