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Maximum Likelihood Estimation as a General Method of Combining Sub-aperture Data for Interferometric Testing

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Abstract

By making multiple interferometric measurements of reference and test surfaces that are translated and rotated, we obtain sufficient information to reconstruct both surfaces. We use maximum likelihood estimation to obtain a 1 nm rms error.

© 2006 Optical Society of America

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