2002
DOI: 10.1016/s0141-6359(02)00150-2
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Modeling and verifying non-linearities in heterodyne displacement interferometry

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Cited by 113 publications
(74 citation statements)
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“…These frequencies may mix (due to "frequency leakage"), resulting in periodic errors that are superimposed on the obtained displacement data. This type of error repeats itself each fraction of a wavelength-hence "periodic"-and is caused by imperfect polarization orthogonality and linearity of the source frequencies combined with imperfect polarizing optics and nonideal alignment [5].There are several approaches for reducing PNL in coaxial interferometer systems. Physically reducing PNL is one of the most costly methods, since it involves expensive high-quality optics and routine individual system alignment.…”
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confidence: 99%
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“…These frequencies may mix (due to "frequency leakage"), resulting in periodic errors that are superimposed on the obtained displacement data. This type of error repeats itself each fraction of a wavelength-hence "periodic"-and is caused by imperfect polarization orthogonality and linearity of the source frequencies combined with imperfect polarizing optics and nonideal alignment [5].There are several approaches for reducing PNL in coaxial interferometer systems. Physically reducing PNL is one of the most costly methods, since it involves expensive high-quality optics and routine individual system alignment.…”
mentioning
confidence: 99%
“…This reduction approach is based on the quality of the coaxial beam's source frequency orthogonality together with the quality of the linear polarizations. If these are of high quality, it is also essential that highquality polarized optics are applied for beam splitting, combined with alignment [5][6][7][8][9].A less expensive approach is to digitally compensate for the PNL through analytical modeling [5,[9][10][11]. The advantage of this method is that it typically ensures PNL below 1 nm for small system imperfections, without changing the interferometer configuration.…”
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confidence: 99%
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