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PEPITO : atmospheric Profiling from short-Exposure focal Plane Images in seeing-limiTed mOde.

Beltramo-Martin, Olivier and Bharmal, Nazim Ali and Correia, Carlos (2019) 'PEPITO : atmospheric Profiling from short-Exposure focal Plane Images in seeing-limiTed mOde.', Monthly notices of the Royal Astronomical Society., 486 (2). pp. 2032-2041.

Abstract

Atmospheric profiling is a requirement for controlling wide-field Adaptive Optics (AO) instruments, analyzing the AO performance with respect to the observing conditions and predicting the Point Spread Function (PSF) spatial variations. We present PEPITO, a new concept for profiling atmospheric turbulence from post facto tip-tilt (TT) corrected short-exposure images. PEPITO utilizes the anisokinetism effect in the images between several stars separated from a reference star, and then produces the profile estimation using a model-fitting methodology, by fitting to the long exposure TT-corrected PSF. PEPITO has a high sensitivity to both C2n(h) and L0(h) by relying on the full telescope aperture and a large field of view. It then obtains a high vertical resolution (1 m-400 m) configurable by the camera pixel scale, taking advantage of fast statistical convergence (of order of tens of seconds). With only a short exposure-capable large format detector and a numerical complexity independent of the telescope diameter, PEPITO perfectly suits accurate profiling for night optical turbulence site characterization or adaptive optics instruments operations. We demonstrate, in simulation, that the C2n(h) and L0(h) can be estimated to better than 1% accuracy, from fitted PSFs of magnitude V=11 on a D=0.5 m telescope with a 10 arcmin field of view.

Item Type:Article
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1093/mnras/stz979
Publisher statement:© 2019 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society.
Date accepted:04 April 2019
Date deposited:16 April 2019
Date of first online publication:10 April 2019
Date first made open access:No date available

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