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Spherical Mirror Estimation Using Phase Retrieval Wavefront Sensor Technology

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Proceedings of the 3rd International Conference on Multimedia Technology (ICMT 2013)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 278))

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Abstract

In order to verify the estimated wavefront ability of the phase retrieval wavefront sensor (PRWS), a measured spherical mirror of experiment platform was set up with the method of PRWS. PRWS technology is based on the focal plane image information wavefront solver in the focal plane wavefront measured technology, whose principle is sampling a number of the given defocus images; get the wavefront phase information by solving the optical system wavefront with Fourier optical diffractive theory and mathematics optimization. In order to validate the veracity of PRWS, both the PRWS measurement results and ZYGO interferometer measurement results were compared, experimental results demonstrate that agreement is obtained among the errors distribution, PV value and RMS value of ZYGO interferometer, so PRWS technology can effectively estimate the aberrations of spherical mirror.

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Author information

Authors and Affiliations

  1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, China

    Xinxue Ma, Jianli Wang, Bin Wang & Tianyu Lv

  2. University of Chinese Academy of Sciences, Beijing, 100039, China

    Xinxue Ma

Authors
  1. Xinxue Ma
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  2. Jianli Wang
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  3. Bin Wang
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  4. Tianyu Lv
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Corresponding author

Correspondence to Bin Wang .

Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering, University of Louisville, Kentucky, Kentucky, USA

    Aly A. Farag

  2. Department of Electronic Engineering, Tsinghua University, Beijing, People's Republic of China

    Jian Yang

  3. Nanjing University of Information Science & Technology, Nanjing, People's Republic of China

    Feng Jiao

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Ma, X., Wang, J., Wang, B., Lv, T. (2014). Spherical Mirror Estimation Using Phase Retrieval Wavefront Sensor Technology. In: Farag, A., Yang, J., Jiao, F. (eds) Proceedings of the 3rd International Conference on Multimedia Technology (ICMT 2013). Lecture Notes in Electrical Engineering, vol 278. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41407-7_1

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  • DOI: https://doi.org/10.1007/978-3-642-41407-7_1

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-41406-0

  • Online ISBN: 978-3-642-41407-7

  • eBook Packages: EngineeringEngineering (R0)

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