Performance of an iterative solver for atmospheric tomography on real-time hardware

Bernadett Stadler; Ronny Ramlau; Roberto Biasi

doi:10.1117/12.2560217

13 December 2020 Performance of an iterative solver for atmospheric tomography on real-time hardware

Bernadett Stadler, Ronny Ramlau, Roberto Biasi

Proceedings Volume 11448, Adaptive Optics Systems VII; 114481S (2020) https://doi.org/10.1117/12.2560217
Event: SPIE Astronomical Telescopes + Instrumentation, 2020, Online Only

Abstract

The new generation of ground-based extremely large telescopes rely on adaptive optics (AO). Many AO systems require the reconstruction of the turbulence profile, which is called atmospheric tomography. Due to the growth of telescope sizes the computational load for this problem is increasing drastically. Thus, the collaboration of state-of-the-art real-time hardware with an efficient solver that take advantage of the available hardware resources is of great importance. In this talk, we look at an iterative approach called FEWHA and its adaption to perform best on real-time hardware. We conclude our talk with a comparison between FEWHA and the frequently used MVM within the framework of MAORY.

Conference Presentation

Citation Download Citation

Bernadett Stadler, Ronny Ramlau, and Roberto Biasi "Performance of an iterative solver for atmospheric tomography on real-time hardware", Proc. SPIE 11448, Adaptive Optics Systems VII, 114481S (13 December 2020); https://doi.org/10.1117/12.2560217

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