1996
DOI: 10.1117/12.240149
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<title>Self-calibration in two dimensions: the experiment</title>

Abstract: Geraint OwenHewlett Packard Laboratory, Fremont, CA 94538 A two-dimensional self-calibration experiment obtains Cartesian traceability for high-precision tools. The cdibration procedure incorporates group theory principks to solve our indust,y's two-dimensional calibration problem.With group theory, a Cartesian system is obtainable through mathematics; thus, eliminating the need for any certifIed standards. The calibration algorithm was developed by Jun Ye at Stanford University and funded by the Semiconductor… Show more

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Cited by 20 publications
(11 citation statements)
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“…For high precision 2D stage calibration different self-calibration approaches were published, which all allow to determine the deviations of a 2D grid pattern from a nominal 2D grid [16,17]. This is accomplished by repeated measurements of the mask in at least two different orientations and in at least one shifted grid raster position of the mask.…”
Section: 5d Reference Metrology For Mask Registration Measurementsmentioning
confidence: 99%
“…For high precision 2D stage calibration different self-calibration approaches were published, which all allow to determine the deviations of a 2D grid pattern from a nominal 2D grid [16,17]. This is accomplished by repeated measurements of the mask in at least two different orientations and in at least one shifted grid raster position of the mask.…”
Section: 5d Reference Metrology For Mask Registration Measurementsmentioning
confidence: 99%
“…Usually, the calculation of the stage error needs calibration technology [7], [8] with a standard measurement scale. Once the stage error is exactly known, the measurement compensation of the positioning accuracy and repeatability of precision motion systems will become more accurate [9], [10]. However, for precision/ultraprecision applications such as nanolithography, there usually not exists a standard measurement scale with better accuracy of mark positions than the metrology system.…”
Section: Introductionmentioning
confidence: 99%
“…However, the algorithm is likely to be computationally expensive and may be unstable in the presence of random measurement noise. Takac [9] proposed a transitive algorithm based on direct pointto-point comparison for the 2-D self-calibration. This direct transitive algorithm is intuitive and simple but is extremely sensitive to random measurement noise due to its oversimplified handling of the rotation and translation of each measurement view.…”
Section: Introductionmentioning
confidence: 99%
“…Due to the difficulty on finding a more accurate standard tool in traditional calibration technologies, self-calibration technology has been developed with utilization of an artifact with mark positions not precisely known. As an alternative of intelligent calibration processes, self-calibration is an effective and economical approach especially for micro-/nano-level mechanical systems [11][12][13][14].…”
Section: Introductionmentioning
confidence: 99%