Premium
Fast computation of 2D transfer functions from adaptive optics data
Author(s) -
Wöger F.
Publication year - 2010
Publication title -
astronomische nachrichten
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.394
H-Index - 63
eISSN - 1521-3994
pISSN - 0004-6337
DOI - 10.1002/asna.201011397
Subject(s) - speckle pattern , photometry (optics) , computation , adaptive optics , interferometry , transfer function , data acquisition , fourier transform , optics , amplitude , speckle imaging , physics , iterative reconstruction , optical transfer function , computer science , algorithm , remote sensing , artificial intelligence , computer vision , geology , stars , electrical engineering , quantum mechanics , engineering , operating system
The use of atmospheric transfer functions is common in image reconstruction techniques such as speckle interferometry to calibrate the Fourier amplitudes of the reconstructed images. Thus, an accurate model is needed to ensure proper photometry in the reconstruction. The situation complicates when adaptive optics (AO) are used during data acquisition. I propose a novel technique to derive two‐dimensional transfer functions from data collected using AO simultaneously with the observations. The technique is capable to compute the relevant transfer functions within a short time for the prevailing atmospheric conditions and AO performance during data acquisition (© 2010 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)