# Absolute surface metrology by shear rotation with position error correction

- Weibo Wang
^{1, 2}Email author, - Biwei Wu
^{1}, - Pengfei Liu
^{1}, - Dong Huo
^{1}and - Jiubin Tan
^{1}

**13**:2

https://doi.org/10.1186/s41476-016-0032-6

© The Author(s) 2017

**Received: **29 September 2016

**Accepted: **20 December 2016

**Published: **19 January 2017

## Abstract

### Background

Absolute test is one of the most important and efficient techniques to saperate the reference surface which usually limits the accuracy of test results.

### Method

For the position error correction in absolute interferometry tests based on rotational and translational shears, the estimation algorithm adopts least-squares technique to eliminate azimuthal errors caused by rotation inaccuracy and the errors of angular orders are compensated with the help of Zernike polynomials fitting by an additional rotation measurement with a suitable selection of rotation angles.

### Results

Experimental results show that the corrected results with azimuthal errors are very close to those with no errors, compared to the results before correction.

### Conclusions

It can be seen clearly that the testing errors caused by rotation inaccuracy and alignment errors of the measurements can be consequently eliminated from the differences in measurement results by the proposed method.

### Keywords

Absolute test Shear rotation Error correction Zernike polynomials## Background

In optical interferometric testing, the test surface map is not obtained independently but only in combination with the reference surface. Several ingenious techniques have been devised to obtain absolute surface measurements, e.g., two-sphere [1, 2] method for spherical reference surfaces and “three-flat” approach for flat surface [3]. However, the classic two-sphere method with cat’s-eye position measurement is sensitive to the lateral shear of the coma wavefront, which will introduce astigmatism and spherical terms [2]. For decades, the shift-rotation methods without the testing of cat’s-eye position have been developed to test spherical and flat surfaces [4–9]. These approaches yield an estimate for the test surface errors without changing experimental settings, such as cavity length, that may affect the apparent reference errors. The classic multi-angle averaging method proposed by Evans and Kestner, measures the spherical surface at *N* angular positions equally spaced with respect to the optical axis and the resulting wavefronts are averaged, then errors in the rotated member with angular orders that are not integer multiples of the number of positions will be removed without Zernike fitting [10, 11].

It always assumes that there is no azimuthal position error during part rotation in the previous absolute test methods. However, the rotations of the test part introduce uncertainties related to azimuthal errors of the rotational angle and lateral displacement of the part with respect to the optical axis of the interferometer [11]. Moreover, rotation should be very precise when higher order spatial frequency terms are required, which are particularly sensitive to azimuthal position errors. In practice, there are challenges to rotate the test surface accurately to the desired positions, especially for large optics, and keep the environment and metrology system stable during the multi-measurements [12]. So we present a method to determine the true azimuthal positions of part rotation and consequently eliminate testing errors caused by rotation inaccuracy.

## Method

*N*equally spaced positions about the optical axis and the resulting, we can get the averaged wavefront

where *R*(*ρ*, *θ*) is the systematic error including the reference surface, *S*(*ρ*, *θ*) is the surface error of the test part.

where \( {R}_l^k\left(\rho \right) \) are the radial terms of Zernike polynomials and coefficients \( {\alpha}_l^{\pm k} \) specify the magnitude of each term while the angular terms specify the angular part of the polynomial representation. *ρ* and *θ* are the normalized radial and angular coordinates.

*N*equally spaced positions about the optical axis (

*φ*= 2

*π*/

*N*), the averaged resulting wavefront can be written as

*k*= 0 (i.e., for rotationally symmetric terms), it is the intuitively obvious result that the procedure has no influence on rotationally symmetric terms. For

*k*≠ 0, the series sum to zero for all cos

*kφ*except

*k*=

*cN*(

*i*= 1,2,3….) and for all sin

*k φ*. It is easy to see that rotating a wavefront to

*N*equally spaced positions and averaging removes nonrotationally symmetric terms of all angular orders except

*kNθ*. The term

*W*

_{ kNθ }(

*ρ*,

*θ*) is the

*N*th rotationally symmetric component (angular orders

*kNθ*), which can be written as

where *S*
_{
sym
}(*ρ*, *θ*) is the rotational symmetry surface deviation of the test part *S*(*ρ*, θ).

The errors of angular variation *kNθ* can be represented based on Zernike polynomials and additional shear rotation measurement [9]. And it may be always neglected in the multi-angle averaging method, when *N* is large enough.

Additional measurements provide redundancies to improve and characterize measurement uncertainties. However, the rotation of the test part also introduces uncertainties related to azimuthal errors of the rotational angle and lateral displacement of the part with respect to the optical axis of the interferometer. The effect of uncertainties will arise from uncertainties in the rotational angle. Moreover, there are challenges to rotate the test surface accurately to the desired positions, especially for large optics, and keep the environment and metrology system stable during the multi-measurements.

So the estimation algorithm should be presentd to eliminate azimuthal errors caused by rotation inaccuracy. And the unknown relative alignment of the measurements also can be estimated through the differences in measurement results at overlapping areas.

*W*between the shear rotation measurements can be written as

where \( \Delta {\alpha}_l^{\pm k} \) is the differences of the coefficients between two measurements.

This shows that the azimuthal terms of the wavefront can be determined from the azimuthal terms of the difference between the original wavefront and itself after rotation by *φ*. So the wavefront can be represented based on Zernike polynomials. Futermore, the *kNθ* variations of surface deviation *W*
_{
kNθ
}(*ρ*, *θ*) neglected in the multi-angle averaging method can also be obtained by additional rotation testing with a suitable selection of rotation angles *θ*
_{0} with *k = cN* and *kθ*
_{0} ≠ 2*mπ* (*m* is an integer).

For azimuthal position error correction, the angle *φ*
_{
i
} can be treated as additional unknowns together with the coefficients \( {\alpha}_l^{\pm k} \). Then their actual values can be determined from the measured difference wavefront by least-squares method. Then the estimation algorithm adopts least-squares technique to eliminate azimuthal errors caused by rotation inaccuracy.

*φ*

_{ i }, as discussed in [12].

This generalized algorithm adopts least-squares technique to determine the true azimuthal positions of part rotation and consequently eliminates testing errors caused by rotation inaccuracy. The true values of the unknowns of \( {\gamma}_{0l}^k \), \( {\tilde{\gamma}}_{0l}^k \) and *φ*
_{
i
} can be obtained by the iterative procedure. The total computational time is influenced by the number of terms of Zernike polynomials in consideration (maximum *l* and *k*), the number of rotation *N*, and the precision of the initial guess of *φ*
_{
i
}. Finally, the testing errors caused by rotation inaccuracy can be compensated by the solutions of \( {\gamma}_{0l}^k \), \( {\tilde{\gamma}}_{0l}^k \) and *φ*
_{
i
}.

## Results

For the verification of the described method, experiments are presented in a standard Fizeau interferometer. The surface under test is a spherical mirror with a clear aperture of 100 mm and surface error within λ/10PV. The accuracy of rotations can be better than 0.1° and the 5-Axis Mount of ZYGO Company can provide 13 mm X and Y adjustment, 50 mm Z adjustment and ±2° tip and tilt adjustment. The spherical surface is tested at the normal testing position and various orientations with the classic multi-angle averaging method. These approaches can yield an estimate for the test surface errors without changing experimental settings, such as cavity length, that may affect the apparent reference errors.

*N*= 6 and 12 are shown in Fig. 1. The errors of angular orders

*kNθ*resembling a hexagon can be seen obviously from Fig. 1a, which may introduce unnecessary measurement errors when it is neglected in the absolute surface metrology. When

*N*is large enough, the terms 2nπ/φ are close to rotationally symmetric deviations, as shown in Fig. 1b. The errors of angular orders

*kNθ*can be quite small.

*kNθ*. For the compensation of

*W*

_{ kNθ }(

*ρ*,

*θ*), the additional rotation testing with a suitable selection of rotation angles is implemented. The

*W*

_{ kNθ }(

*ρ*,

*θ*) of the test surface are restructured and compensated with the help of least-squares fitting of Zernike polynomials. The differences of Fig. 1a and b after

*W*

_{ kNθ }(

*ρ*,

*θ*) compensation can be seen from Fig. 2b, and the compensated errors of angular variation

*kNθ*are shown in Fig. 3. The differences of Fig. 1a and b after compensation are very small. The errors of angular variation

*kNθ*have been well compensated. It implies that the described method with

*W*

_{ kNθ }(

*ρ*,

*θ*) compensation can obtain high accuracy even with fewer rotation measurements. However, because of position errors, the errors caused by rotation inaccuracy still can be seen from Fig. 2b.

*N*= 6 with position errors (azimuthal errors and alignment error) introduced is shown in Fig. 4 and the difference of the averaged wavefront for

*N*= 6 before and after position errors introduced is shown in Fig. 5. Figures 1a and 4 have a similar distribution on optical path difference and some differences on PV and RMS. More details can be seen from Fig. 5. The test results are suffering from the position errors. As mentioned above, it’s difficult to rotate the test surface accurately to the desired positions, especially for large optics. There are also many challenges to keep the environment and metrology system stable during the multi-averaging measurements, especially for large

*N*. So the position error correction is necessary.

## Discussion

In order to correct the errors due to the rotation inaccuracy, the estimation algorithm adopts least-squares technique to determine the true azimuthal positions of part rotation and consequently eliminates testing errors caused by rotation inaccuracy. The surface is tested on the precision rotation stage with accurate position and random azimuthal errors within ±2° respectively.

## Conclusions

We discussed the position error estimation algorithm to determine the true azimuthal positions of part rotation and the *kNθ* compensation method to offer possibility to obtain high accuracy even with fewer rotation measurements. It can be used to overcome the challenges of rotating the test surface accurately to the desired positions, especially for large optics and obtain the higher order spatial frequency terms required. Experimental results have been given to verify the effectiveness of the proposed method.

## Declarations

### Funding

National Natural Science Foundation of China (51205089, 51275121 and 51475111), China Postdoctoral science foundation (2012 M520726), National Key Scientific Instrument and Equipment Development Project (2011YQ040087), China Scholarship Council (201406125121).

### Authors’ contributions

All authors have participated in the method discussion and result analysis. The experiments are conducted by JT. All authors have read and agreed with the contents of the final manuscript.

### Competing interests

The authors declare that they have no competing interests.

**Open Access**This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

## Authors’ Affiliations

## References

- Jensen, A.E.: Absolute calibration method for Twyman-Green wavefront testing interferometers. J. Opt. Soc. Am.
**63**, 1313A (1973)Google Scholar - Selberg, L.A.: Absolute testing of spherical surfaces. In: Optical Fabrication and Testing, Vol. 13 of OSA 1994 Technical Digest Series, pp. 181–184. Optical Society of America, Washington, D.C (1994)Google Scholar
- Fritz, B.S.: Absolute calibration of an optical flat. Opt. Eng.
**23**, 379–383 (1984)ADSView ArticleGoogle Scholar - Freischlad, K.R.: Absolute interferometric testing based on reconstruction of rotational shear. Appl. Opt.
**40**(10), 1637–1648 (2001)ADSView ArticleGoogle Scholar - Bloemhof, E.E.: Absolute surface metrology by differencing spatially shifted maps from a phase-shifting interferometer. Opt. Lett.
**35**(14), 2346–2348 (2010)ADSView ArticleGoogle Scholar - Soons, J.A., Griesmann, U.: Absolute interferometric tests of spherical surfaces based on rotational and translational shears. Proc. SPIE
**8493**, 84930G (2012)ADSView ArticleGoogle Scholar - Su, D., Miao, E., Sui, Y., Yang, H.: Absolute surface figure testing by shift-rotation method using Zernike polynomials. Opt. Lett.
**37**, 3198–3200 (2012)ADSView ArticleGoogle Scholar - Weibo, W., Mengqian, Z., Siwen, Y., Zhigang, F., Jiubin, T.: Absolute spherical surface metrology by differencing rotation maps. Appl. Opt.
**54**(20), 6186–6189 (2015)ADSView ArticleGoogle Scholar - Weibo, W., Pengfei, L., Yaolong, X., Jiubin, T., Jian, L.: Error correction for rotationally asymmetric surface deviation testing based on rotational shears. Appl. Opt.
**55**(26), 7428–7433 (2016)ADSView ArticleGoogle Scholar - Song, W., Wu, F., Hou, X.: Method to test rotationally asymmetric surface deviation with high accuracy. Appl. Opt.
**51**, 5567–5572 (2012)ADSView ArticleGoogle Scholar - Evans, C.J., Kestner, R.N.: Test optics error removal. Appl. Opt.
**35**(7), 1015–1021 (1996)ADSView ArticleGoogle Scholar - Hyug-Gyo, R., Yun-Woo, L.: Azimuthal position error correction algorithm for absolute test of large optical surfaces. Opt. Express
**14**(20), 9169–9177 (2006)ADSView ArticleGoogle Scholar