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Extreme Computing for Extreme Adaptive Optics
2018
Proceedings of the Platform for Advanced Scientific Computing Conference on - PASC '18
The real-time correction of telescopic images in the search for exoplanets is highly sensitive to atmospheric aberrations. The pseudoinverse algorithm is an efficient mathematical method to filter out these turbulences. We introduce a new partial singular value decomposition (SVD) algorithm based on QR-based Diagonally Weighted Halley (QDWH) iteration for the pseudo-inverse method of adaptive optics. The QDWH partial SVD algorithm selectively calculates the most significant singular values and
doi:10.1145/3218176.3218225
dblp:conf/pasc/LtaiefSGK18
fatcat:bypnzpis6vg3nbcx4tmznnlcza