Kla Tencor Corporation

Kla Corporation

Claire Staniunas

Nimrod Shuall

Nadav Gutman

Tzahi Grunzweig

David Gready

Vladimir Levinski

Mark Ghinovker

Yuri Paskover

Tal Marciano

A metrology system includes a controller coupled to a detector to image a sample based on the light captured by an objective lens, where an object plane of the detector with respect to the sample is adjustable. The controller may direct the detector to generate reference images of an overlay target on the sample at multiple object planes including at least a first reference image at a first sample layer and a second reference image at a second sample layer. The controller may further determine a reference overlay between the first layer and the second layer at the overlay target based on the first reference image and the second reference image. The controller may further select a measurement object plane for single-image overlay determination that corresponds to the reference overlay within a selected tolerance. The controller may further determine overlay for additional overlay targets at the measurement plane.

Image-based overlay metrology and monitoring using through-focus imaging

Systems and methods are provided, which calculate overlay misregistration error estimations from analyzed measurements of each ROI (region of interest) in at least one metrology imaging target, and incorporate the calculated overlay misregistration error estimations in a corresponding estimation of overlay misregistration. Disclosed embodiments provide a graduated and weighted analysis of target quality which may be integrated in a continuous manner into the metrology measurement processes, and moreover evaluates target quality in terms of overlay misregistration, which forms a common basis for evaluation of errors from different sources, such as characteristics of production steps, measurement parameters and target characteristics. Such common basis then enables any of combining various error sources to give a single number associated with measurement fidelity, analyzing various errors at wafer, lot and process levels, and/or to trade-off the resulting accuracy for throughput by reducing the number of measurements, in a controlled manner.

Utilizing overlay misregistration error estimations in imaging overlay metrology

Systems and method are presented for identifying process variations during manufacture of products such as semiconductor wafers. At a predetermined stage during manufacture of a first products, images of an area of the first product are obtained using different values of at least one imaging parameter. The images are then analyzed to generate a first contrast signature for said first product indicating variations of contrast with said at least one imaging parameter. At the same predetermined stage during manufacture of a second product, images of an area of said second product are obtained corresponding to said area of said first product using different values of said at least one imaging parameter. The images are analyzed to generate a second contrast signature for said second product indicating variations of contrast with said at least one imaging parameter. The first and second contrast signatures are compared to identify whether a variation in process occurred between manufacture of said first and second products.

Identifying process variations during product manufacture

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Forest Grove, OR, United States of America

Claire Staniunas