This work will show that chip topography can be predicted from reticle density and perimeter density data, including experimental proof. Different pixel sizes are used to perform the correlation in-line with the minimum resolution, correlation length of CMP effects and the spot size of the scanner level sensor. Potential applications of the topography determination will be evaluated, including optimizing scanner leveling by ignoring non-critical parts of the field, and without the need for time-consuming offline topography measurements. |
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CITATIONS
Cited by 2 scholarly publications.
Scanners
Data modeling
Semiconducting wafers
Sensors
Chemical mechanical planarization
Optical lithography
Performance modeling