1 July 2011 Improving the accuracy of surface metrology
Russell M. Kurtz, Ryder S. Nesbitt
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Abstract
There is a constant search for a more accurate measurement, which generally leads to higher cost, greater complexity, or devices that do not lend themselves to manufacturing environments. We present a method of using statistical sampling to improve metrological accuracy without these undesirable effects. For metrology of flat surfaces and steps between flat surfaces, this method demonstrated precision improvement up to a factor of 55, and accuracy increase of at least a factor of 10. The corresponding precision and accuracy improvements on a spherical surface were both factors of 8. Since this accuracy improvement can be implemented in software, it does not affect the speed of measurement or the complexity of the hardware, and it can be used to improve the accuracy of a wide range of metrology systems.
©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
Russell M. Kurtz and Ryder S. Nesbitt "Improving the accuracy of surface metrology," Optical Engineering 50(7), 073605 (1 July 2011). https://doi.org/10.1117/1.3602901
Published: 1 July 2011
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Metrology

Error analysis

Clouds

Interferometry

Optical spheres

Environmental sensing

Statistical analysis

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