Two novel algorithms for wavefront reconstruction from pyramid sensor data: convolution with linearized inverse filter and pyramid Fourier transform reconstructor

Julia Shatokhina; Victoria Hutterer; Ronny Ramlau

doi:10.26698/AO4ELT5.0016

Two novel algorithms for wavefront reconstruction from pyramid sensor data: convolution with linearized inverse filter and pyramid Fourier transform reconstructor

Julia Shatokhina
, Victoria Hutterer
, Ronny Ramlau

Industrial Mathematics Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Original language	English
Title of host publication	Proceedings AO4ELT5 - Adaptive Optics for Extremely Large Telescopes
DOIs	https://doi.org/10.26698/AO4ELT5.0016
Publication status	Published - 2017

Fields of science

101 Mathematics
101020 Technical mathematics

JKU Focus areas

Digital Transformation

Access to Document

10.26698/AO4ELT5.0016

Cite this

Two novel algorithms for wavefront reconstruction from pyramid sensor data: convolution with linearized inverse filter and pyramid Fourier transform reconstructor. / Shatokhina, Julia; Hutterer, Victoria ; Ramlau, Ronny.
Proceedings AO4ELT5 - Adaptive Optics for Extremely Large Telescopes. 2017.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Two novel algorithms for wavefront reconstruction from pyramid sensor data: convolution with linearized inverse filter and pyramid Fourier transform reconstructor

AU - Shatokhina, Julia

AU - Hutterer, Victoria

AU - Ramlau, Ronny

PY - 2017

Y1 - 2017

U2 - 10.26698/AO4ELT5.0016

DO - 10.26698/AO4ELT5.0016

M3 - Conference proceedings

BT - Proceedings AO4ELT5 - Adaptive Optics for Extremely Large Telescopes

ER -