Paper
21 September 2012 Qualification of a null lens using image-based phase retrieval
Author Affiliations +
Abstract
In measuring the figure error of an aspheric optic using a null lens, the wavefront contribution from the null lens must be independently and accurately characterized in order to isolate the optical performance of the aspheric optic alone. Various techniques can be used to characterize such a null lens, including interferometry, profilometry and image-based methods. Only image-based methods, such as phase retrieval, can measure the null-lens wavefront in situ – in single-pass, and at the same conjugates and in the same alignment state in which the null lens will ultimately be used – with no additional optical components. Due to the intended purpose of a null lens (e.g., to null a large aspheric wavefront with a near-equal-but-opposite spherical wavefront), characterizing a null-lens wavefront presents several challenges to image-based phase retrieval: Large wavefront slopes and high-dynamic-range data decrease the capture range of phase-retrieval algorithms, increase the requirements on the fidelity of the forward model of the optical system, and make it difficult to extract diagnostic information (e.g., the system F/#) from the image data. In this paper, we present a study of these effects on phase-retrieval algorithms in the context of a null lens used in component development for the Climate Absolute Radiance and Refractivity Observatory (CLARREO) mission. Approaches for mitigation are also discussed.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Matthew R. Bolcar, David L. Aronstein, Peter C. Hill, J. Scott Smith, and Thomas P. Zielinski "Qualification of a null lens using image-based phase retrieval", Proc. SPIE 8442, Space Telescopes and Instrumentation 2012: Optical, Infrared, and Millimeter Wave, 844251 (21 September 2012); https://doi.org/10.1117/12.926231
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KEYWORDS
Wavefronts

Sensors

Phase retrieval

Data modeling

Point spread functions

Wave propagation

Aspheric lenses

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