Spatio-angular minimum-variance tomographic controller for multi-object adaptive-optics systems.

摘要: Multi-object astronomical adaptive optics (MOAO) is now a mature wide-field observation mode to enlarge the adaptive-optics-corrected field in few specific locations over tens of arcminutes. The work-scope provided by open-loop tomography and pupil conjugation amenable spatio-angular linear-quadratic-Gaussian (SA-LQG) formulation aiming provide enhanced correction across with improved performance static reconstruction methods less stringent computational complexity scaling laws. Starting from our previous work [J. Opt. Soc. Am. A 31, 101 (2014)], we use stochastic time-progression models coupled approximate sparse measurement operators outline suitable SA-LQG capable delivering near optimal correction. Under framework wavefronts are never explicitly estimated volume, providing considerable savings on 10-m-class telescopes beyond. We find that for Raven, MOAO system two science channels, improves limiting magnitude stellar magnitudes when both Strehl ratio ensquared energy used as figures merit. sky coverage therefore factor similar 5. (C) 2015 Optical Society America