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In this paper we present two novel algorithms for wavefront reconstruction from pyramid-type wavefront sensor data. Assuming a computationally very challenging setting corresponding to the extreme adaptive optics on the European Extremely Large Telescope, we present the results of the performed end-to-end simulations and compare the achieved AO correction quality (in terms of the Long-Exposure Strehl ratio) to other methods like MVM and P-CuReD. Also, we provide a comparison in terms of applicability and computational complexity and closed loop performance, of our novel algorithms to other methods existing for this type of sensor.

proceedings of the adaptive optics for extremely large telescopes 5

Two novel algorithms for wavefront reconstruction from pyramid sensor data: Convolution with Linearized Inverse Filter and Pyramid Fourier Transform Reconstructor