A gradient-based method for atmospheric tomography

DOI10.3934/ipi.2016021zbMath1347.65073OpenAlexW2515404394MaRDI QIDQ326417

Daniela Saxenhuber, Ronny Ramlau

Publication date: 12 October 2016

Published in: Inverse Problems and Imaging (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/ipi.2016021

zbMATH Keywords

regularizationiterative methodtomography

Mathematics Subject Classification ID

Numerical solutions to overdetermined systems, pseudoinverses (65F20) Ill-posedness and regularization problems in numerical linear algebra (65F22) Complexity and performance of numerical algorithms (65Y20) General questions in astronomy and astrophysics (85A04)

Related Items (6)

Model reduction in atmospheric tomography by optimal grouping of turbulent layers ⋮ A frame decomposition of the atmospheric tomography operator ⋮ Towards analytical model optimization in atmospheric tomography ⋮ Real-time adaptive optics with pyramid wavefront sensors: part II. Accurate wavefront reconstruction using iterative methods ⋮ An augmented wavelet reconstructor for atmospheric tomography ⋮ Tomographic Reconstruction for Single Conjugate Adaptive Optics

Uses Software

• OCTOPUS

Cites Work

• Cumulative wavefront reconstructor for the Shack-Hartmann sensor
• Statistical and computational inverse problems.
• An H¹ -Kaczmarz reconstructor for atmospheric tomography
• A new cumulative wavefront reconstructor for the Shack–Hartmann sensor
• Wavelet methods in multi-conjugate adaptive optics
• On the ill-posedness and convergence of the Shack–Hartmann based wavefront reconstruction
• Efficient iterative tip/tilt reconstruction for atmospheric tomography
• An efficient solution to the atmospheric turbulence tomography problem using Kaczmarz iteration
• Inverse problems in astronomical adaptive optics
• Two-Point Step Size Gradient Methods

This page was built for publication: A gradient-based method for atmospheric tomography