Volume 607, November 2017
|Number of page(s)||9|
|Published online||17 November 2017|
Influence of speckle image reconstruction on photometric precision for large solar telescopes
1 Laboratory for Atmospheric and Space Physics, Boulder CO, 80303, USA
2 Department of Physics, University of Colorado, Boulder CO, 80303, USA
3 National Solar Observatory, Boulder CO, 80303, USA
Received: 23 May 2017
Accepted: 6 September 2017
Context. High-resolution observations from large solar telescopes require adaptive optics (AO) systems to overcome image degradation caused by Earth’s turbulent atmosphere. AO corrections are, however, only partial. Achieving near-diffraction limited resolution over a large field of view typically requires post-facto image reconstruction techniques to reconstruct the source image.
Aims. This study aims to examine the expected photometric precision of amplitude reconstructed solar images calibrated using models for the on-axis speckle transfer functions and input parameters derived from AO control data. We perform a sensitivity analysis of the photometric precision under variations in the model input parameters for high-resolution solar images consistent with four-meter class solar telescopes.
Methods. Using simulations of both atmospheric turbulence and partial compensation by an AO system, we computed the speckle transfer function under variations in the input parameters. We then convolved high-resolution numerical simulations of the solar photosphere with the simulated atmospheric transfer function, and subsequently deconvolved them with the model speckle transfer function to obtain a reconstructed image. To compute the resulting photometric precision, we compared the intensity of the original image with the reconstructed image.
Results. The analysis demonstrates that high photometric precision can be obtained for speckle amplitude reconstruction using speckle transfer function models combined with AO-derived input parameters. Additionally, it shows that the reconstruction is most sensitive to the input parameter that characterizes the atmospheric distortion, and sub-2% photometric precision is readily obtained when it is well estimated.
Key words: techniques: image processing / techniques: interferometric / Sun: photosphere
© ESO, 2017
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