12 September 2011 Alignment estimation performances of merit function regression with differential wavefront sampling in multiple design configuration optimization
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Abstract
In our earlier study[12], we suggested a new alignment algorithm called Multiple Design Configuration Optimization (MDCO hereafter) method combining the merit function regression (MFR) computation with the differential wavefront sampling method (DWS). In this study, we report alignment state estimation performances of the method for three target optical systems (i.e. i) a two-mirror Cassegrain telescope of 58mm in diameter for deep space earth observation, ii) a three-mirror anastigmat of 210mm in aperture for ocean monitoring from the geostationary orbit, and iii) on-axis/off-axis pairs of a extremely large telescope of 27.4m in aperture). First we introduced known amounts of alignment state disturbances to the target optical system elements. Example alignment parameter ranges may include, but not limited to, from 800microns to 10mm in decenter, and from 0.1 to 1.0 degree in tilt. We then ran alignment state estimation simulation using MDCO, MFR and DWS. The simulation results show that MDCO yields much better estimation performance than MFR and DWS over the alignment disturbance level of up to 150 times larger than the required tolerances. In particular, with its simple single field measurement, MDCO exhibits greater practicality and application potentials for shop floor optical testing environment than MFR and DWS.
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Eunsong Oh, Eunsong Oh, Sug-Whan Kim, Sug-Whan Kim, Seongick Cho, Seongick Cho, Joo-Hyung Ryu, Joo-Hyung Ryu, } "Alignment estimation performances of merit function regression with differential wavefront sampling in multiple design configuration optimization", Proc. SPIE 8131, Optical System Alignment, Tolerancing, and Verification V, 81310P (12 September 2011); doi: 10.1117/12.894947; https://doi.org/10.1117/12.894947
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