Redundant apodization for direct imaging of exoplanets I: Robustness to primary mirror segmentation-induced errors outside the segment diffraction limit
Lucie Leboulleux, Alexis Carlotti, Mamadou N'Diaye

TL;DR
This paper introduces a novel coronagraph design with segment-level apodization that enhances robustness to wavefront errors in low-segment-count segmented telescopes, improving high-contrast imaging capabilities for exoplanet detection.
Contribution
It proposes an innovative optimization method for coronagraphs that relaxes segment phasing constraints and increases robustness to wavefront errors, specifically tailored for low-segment-count telescopes.
Findings
Redundant apodization improves contrast stability beyond the single-segment diffraction limit.
The method relaxes piston phasing constraints by a factor of 5 to 20 for APLC.
Contrast remains stable up to 1 radian RMS of phasing errors for APP.
Abstract
Direct imaging and spectroscopy of Earth-like planets and young Jupiters require contrasts up to 10^6-10^10 at angular separations of a few dozen milliarcseconds. To achieve this goal, one of the most promising approaches consists of using large segmented primary mirror telescopes with coronagraphic instruments. However, coronagraphs are highly sensitive to wavefront errors. The segmentation itself is responsible for phasing errors and segment vibrations to be controlled at a subnanometric accuracy. We propose an innovative method for a coronagraph design that allows a consequent relaxation of the segment phasing constraints for low segment-count mirrors and generates an instrument that is more robust to segment-level wavefront errors. It is based on an optimization of the coronagraph that includes a segment-level apodization. This is repeated over the pupil to match the segmentation…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
