publication . Article . Preprint . 2021

An augmented Wavelet reconstructor for atmospheric tomography

Ronny Ramlau; Bernadett Stadler;
Open Access English
  • Published: 30 Mar 2021
Atmospheric tomography, i.e., the reconstruction of the turbulence profile in the atmosphere, is a challenging task for adaptive optics (AO) systems for the next generation of extremely large telescopes. Within the AO community, the solver of first choice is the so-called Matrix Vector Multiplication (MVM) method, which directly applies the (regularized) generalized inverse of the system operator to the data. For small telescopes this approach is feasible, however, for larger systems such as the European Extremely Large Telescope (ELT), the atmospheric tomography problem is considerably more complex, and the computational efficiency becomes an issue. Iterative m...
Persistent Identifiers
free text keywords: adaptive optics, atmospheric tomography, inverse problems, augmented Krylov subspace methods, Analysis, Astrophysics - Instrumentation and Methods for Astrophysics, Mathematics - Numerical Analysis, 65R32, 65Y05, 65Y20, 65B99, 85-08, 85-10
Funded by
Reduced Order Modelling, Simulation and Optimization of Coupled systems
  • Funder: European Commission (EC)
  • Project Code: 765374
  • Funding stream: H2020 | MSCA-ITN-EID
Validated by funder
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