Hartmann test data reduction

Details Hartmann test data reduction Hartmann test data reduction

Jul 1990

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1990spie.1236..628p&link_type=abstract

IN: Advanced technology optical telescopes IV; Proceedings of the Meeting, Tucson, AZ, Feb. 12-16, 1990. Part 2 (A91-23201 08-89

Statistics

Applications

Computerized Simulation, Data Reduction, Least Squares Method, Software Tools, Systems Integration, Charge Coupled Devices, Iterative Solution, Optical Measurement, Orthogonal Functions, Ray Tracing

Scientific paper

It is presently noted that the availability of CCD cameras, in conjunction with state-of-the-art computer hardware and software, render Hartmann testing in optical shops a viable alternative to, or checking procedure for, other types of tests. An evaluation is made of data reduction methods for this test. While the reduction of data-fitting to derivatives of Zernike polynomials filters out high-frequency surface information, and runs the risk of yielding incorrect coefficients, it may be able to find special-purpose applications. The least-square integration of a surface is reliable, but time-consuming in the case of large data sets. Subaperture Hartmann results can be assembled to obtain the entire surface; rastering can double the high spatial frequency spatial information of the surface.

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