scholarly journals Deep residual learning for low-order wavefront sensing in high-contrast imaging systems

2020 ◽  
Vol 28 (18) ◽  
pp. 26267
Author(s):  
Gregory Allan ◽  
Iksung Kang ◽  
Ewan S. Douglas ◽  
George Barbastathis ◽  
Kerri Cahoy
2007 ◽  
Vol 15 (19) ◽  
pp. 12338 ◽  
Author(s):  
Amir Give'on ◽  
Ruslan Belikov ◽  
Stuart Shaklan ◽  
Jeremy Kasdin

2017 ◽  
Vol 155 (1) ◽  
pp. 19 ◽  
Author(s):  
Rebecca Jensen-Clem ◽  
Dimitri Mawet ◽  
Carlos A. Gomez Gonzalez ◽  
Olivier Absil ◽  
Ruslan Belikov ◽  
...  

2013 ◽  
Vol 21 (26) ◽  
pp. 31751 ◽  
Author(s):  
B. Paul ◽  
L. M. Mugnier ◽  
J.-F. Sauvage ◽  
M. Ferrari ◽  
K. Dohlen

2007 ◽  
Author(s):  
Amir Give'on ◽  
Brian Kern ◽  
Stuart Shaklan ◽  
Dwight C. Moody ◽  
Laurent Pueyo

2015 ◽  
Author(s):  
Ewan S. Douglas ◽  
Kuravi Hewawasam ◽  
Christopher B. Mendillo ◽  
Kerri L. Cahoy ◽  
Timothy A. Cook ◽  
...  

2020 ◽  
Vol 639 ◽  
pp. A70
Author(s):  
Lucie Leboulleux ◽  
Jean-François Sauvage ◽  
Rémi Soummer ◽  
Thierry Fusco ◽  
Laurent Pueyo ◽  
...  

Context. Direct imaging of Earth-like planets from space requires dedicated observatories, combining large segmented apertures with instruments and techniques such as coronagraphs, wavefront sensors, and wavefront control in order to reach the high contrast of 1010 that is required. The complexity of these systems would be increased by the segmentation of the primary mirror, which allows for the larger diameters necessary to image Earth-like planets but also introduces specific patterns in the image due to the pupil shape and segmentation and making high-contrast imaging more challenging. Among these defects, the phasing errors of the primary mirror are a strong limitation to the performance. Aims. In this paper, we focus on the wavefront sensing of segment phasing errors for a high-contrast system, using the COronagraphic Focal plane wave-Front Estimation for Exoplanet detection (COFFEE) technique. Methods. We implemented and tested COFFEE on the High-contrast imaging for Complex Aperture Telescopes (HiCAT) testbed, in a configuration without any coronagraph and with a classical Lyot coronagraph, to reconstruct errors applied on a 37 segment mirror. We analysed the quality and limitations of the reconstructions. Results. We demonstrate that COFFEE is able to estimate correctly the phasing errors of a segmented telescope for piston, tip, and tilt aberrations of typically 100 nm RMS. We also identified the limitations of COFFEE for the reconstruction of low-order wavefront modes, which are highly filtered by the coronagraph. This is illustrated using two focal plane mask sizes on HiCAT. We discuss possible solutions, both in the hardware system and in the COFFEE optimizer, to mitigate these issues.


Sign in / Sign up

Export Citation Format

Share Document