Multi-variable regression for metrology

Details Multi-variable regression for metrology Multi-variable regression for metrology

2011-06-21

2011-06-21

Khuu, Cindy Hien-Dieu (Department: 2857)

Data processing: measuring, calibrating, or testing

Calibration or correction system

Reexamination Certificate

active

07966142

ABSTRACT:
A method for assessing metrology tool accuracy is described. Multi-variable regression is used to define the accuracy of a metrology tool such that the interaction between different measurement parameters is taken into account. A metrology tool under test (MTUT) and a reference metrology tool (RMT) are used to measure a set of test profiles. The MTUT measures the test profiles to generate a MTUT data set for a first measurement parameter. The RMT measures the test profiles to generate RMT data sets for the first measurement parameter, and at least a second measurement parameter. Multi-variable regression is then performed to generate a best-fit plane for the data sets. The coefficient of determination (R2value) represents the accuracy index of the MTUT.

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