파면수차 미분법과 오차함수 회귀법이 결합된 정렬 예측 성능 분석

Abstract

In our earlier study, we suggested a new alignment estimation method combining merit function regression (MFR) with differential wavefront sampling (DWS). We now report alignment state estimation performances of the method. The target optical systems used are small two-mirror Cassegrain system for deep space Earth observation, intermediate size three-mirror anastgimat for earth ocean monitoring, and extremely large segmented optical system for astronomical observation. We disturbed the optical system by known amounts for selected mis-alignment parameters and ran the prediction computation. The results indicate that the new method brings noticeable improvement to alignment prediction accuracy over the conventional MFR and DWS.