A surface layer adaptive optical system error analysis method
By employing analytical methods based on error structure functions and mode covariance matrices, the problems of high computational resource consumption and difficulty in tracing errors in surface adaptive optics systems are solved. This enables rapid and efficient error analysis and image quality prediction, supporting the adaptive optics design of modern large astronomical telescopes.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHENGDU TECH UNIV
- Filing Date
- 2026-04-28
- Publication Date
- 2026-07-03
AI Technical Summary
The simulation computation of existing surface adaptive optics systems is resource-intensive and the errors are difficult to trace independently. Traditional methods cannot provide accurate guidance for error allocation.
A systematic error analytical method based on error structure function and mode covariance matrix is adopted. By calculating the residual wavefront structure function of uncompensated atmospheric turbulence error and instrument error, and linearly superimposing them, the overall performance structure function is obtained, and then the long exposure optical transfer function and point spread function are calculated.
It greatly improves the generation speed of long exposure point spread function for large-aperture, wide-field-of-view systems, reducing it from several hours to seconds, and achieves "white-box" decoupling of various physical errors, providing accurate image quality prediction and error allocation scheme guidance.
Smart Images
Figure CN122113458B_ABST