Experimental validation of coronagraphic focal-plane wavefront sensing for future segmented space telescopes
Lucie Leboulleux, Jean-Fran\c{c}ois Sauvage, R\'emi Soummer, Thierry, Fusco, Laurent Pueyo, Laurent M. Mugnier, Christopher Moriarty, Peter, Petrone, Keira Brooks

TL;DR
This study validates the COFFEE wavefront sensing technique for segmented space telescopes, demonstrating its ability to accurately estimate phasing errors in a laboratory setting with different coronagraph configurations.
Contribution
The paper provides the first experimental validation of COFFEE for segment phasing error estimation on a testbed, highlighting its capabilities and limitations in high-contrast imaging systems.
Findings
COFFEE accurately estimates piston, tip, and tilt errors of ~100nm RMS.
Coronagraphs filter out low-order wavefront modes, limiting COFFEE's effectiveness.
Identifies hardware and algorithm improvements to enhance wavefront sensing.
Abstract
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 10^10 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. 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.…
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