scholarly journals CHARA array adaptive optics II: non-common-path correction and downstream optics

Author(s):  
Theo ten Brummelaar ◽  
Xiao Che ◽  
Harold McAlister ◽  
Michael Ireland ◽  
John Monnier ◽  
...  
2014 ◽  
Author(s):  
Xiao Che ◽  
Laszlo Sturmann ◽  
John D. Monnier ◽  
Theo A. ten Brummelaar ◽  
Judit Sturmann ◽  
...  

2020 ◽  
Vol 636 ◽  
pp. A88 ◽  
Author(s):  
S. Esposito ◽  
A. Puglisi ◽  
E. Pinna ◽  
G. Agapito ◽  
F. Quirós-Pacheco ◽  
...  

The paper deals with with the on-sky performance of the pyramid wavefront sensor-based Adaptive Optics (AO) systems. These wavefront sensors are of great importance, being used in all first light AO systems of the ELTs (E-ELT, GMT, and TMT), currently in design phase. In particular, non-common path aberrations (NCPAs) are a critical issue encountered when using an AO system to produce corrected images in an associated astronomical instrument. The AO wavefront sensor (WFS) and the supported scientific instrument typically use a series of different optical elements, thus experiencing different aberrations. The usual way to correct for such NCPAs is to introduce a static offset in the WFS signals. In this way, when the AO loop is closed the sensor offsets are zeroed and the deformable mirror converges to the shape required to null the NCPA. The method assumes that the WFS operation is linear and completely described by some pre-calibrated interaction matrix. This is not the case for some frequently used wavefront sensors like the Pyramid sensor or a quad-cell Shack-Hartmann sensor. Here we present a method to work in closed-loop with a pyramid wavefront sensor, or more generally a non-linear WFS, introducing a wavefront offset that remains stable when AO correction quality changes due to variations in external conditions like star brightness, seeing, and wind speed. The paper details the methods with analytical and numerical considerations. Then we present results of tests executed at the LBT telescope, in daytime and on sky, using the FLAO system and LUCI2 facility instrument. The on-sky results clearly show the successful operation of the method that completely nulls NCPA, recovering diffraction-limited images with about 70% Strehl ratio in H band in variable seeing conditions. The proposed method is suitable for application to the above-mentioned ELT AO systems.


Author(s):  
Theo A. ten Brummelaar ◽  
Judit Sturmann ◽  
Laszlo Sturmann ◽  
Matthew D. Anderson ◽  
Nils H. Turner ◽  
...  
Keyword(s):  

2012 ◽  
Author(s):  
Theo A. ten Brummelaar ◽  
Laszlo Sturmann ◽  
Judit Sturmann ◽  
Stephen T. Ridgway ◽  
John D. Monnier ◽  
...  
Keyword(s):  

2010 ◽  
Author(s):  
Stephen Ridgway ◽  
Theo ten Brummelaar ◽  
Judit Sturmann ◽  
Laszlo Sturmann ◽  
Nils Turner ◽  
...  
Keyword(s):  

2005 ◽  
Vol 13 (9) ◽  
pp. 3491 ◽  
Author(s):  
Gordon D. Love ◽  
Thomas J. D. Oag ◽  
Andrew K. Kirby

2020 ◽  
Vol 644 ◽  
pp. A6
Author(s):  
V. Chambouleyron ◽  
O. Fauvarque ◽  
P. Janin-Potiron ◽  
C. Correia ◽  
J-F. Sauvage ◽  
...  

Context. Extremely large telescopes are overwhelmingly equipped with pyramid wavefront sensors (PyWFS) over the more widely used Shack–Hartmann wavefront sensor to perform their single-conjugate adaptive optics (SCAO) mode. The PyWFS, a sensor based on Fourier filtering, has proven to be highly successful in many astronomy applications. However, this sensor exhibits non-linear behaviours that lead to a reduction of the sensitivity of the instrument when working with non-zero residual wavefronts. This so-called optical gains (OG) effect, degrades the closed-loop performance of SCAO systems and prevents accurate correction of non-common path aberrations (NCPA). Aims. In this paper, we aim to compute the OG using a fast and agile strategy to control PyWFS measurements in adaptive optics closed-loop systems. Methods. Using a novel theoretical description of PyWFS, which is based on a convolutional model, we are able to analytically predict the behaviour of the PyWFS in closed-loop operation. This model enables us to explore the impact of residual wavefront errors on particular aspects such as sensitivity and associated OG. The proposed method relies on the knowledge of the residual wavefront statistics and enables automatic estimation of the current OG. End-to-end numerical simulations are used to validate our predictions and test the relevance of our approach. Results. We demonstrate, using on non-invasive strategy, that our method provides an accurate estimation of the OG. The model itself only requires adaptive optics telemetry data to derive statistical information on atmospheric turbulence. Furthermore, we show that by only using an estimation of the current Fried parameter r0 and the basic system-level characteristics, OGs can be estimated with an accuracy of less than 10%. Finally, we highlight the importance of OG estimation in the case of NCPA compensation. The proposed method is applied to the PyWFS. However, it remains valid for any wavefront sensor based on Fourier filtering subject from OG variations.


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