Minimization of non common path aberrations at the Palomar telescope using a self-coherent camera
Raphael Galicher, Pierre Baudoz, Jacques-Robert Delorme, Dimitry, Mawet, Mike Bottom, James Kent Wallace, Eugen Serabyn, Chris Sheldon

TL;DR
This paper demonstrates the first on-sky implementation of the self-coherent camera (SCC) at the Hale telescope, significantly improving contrast and detection limits for exoplanet imaging by minimizing non-common path aberrations.
Contribution
It presents the first on-sky demonstration of the SCC, showing its effectiveness in enhancing contrast and minimizing aberrations in an existing instrument.
Findings
SCC improves coronagraphic detection limit by a factor of 4 to 20 in laboratory conditions.
On-sky contrast is improved by a factor of 5 between 2 and 4L/D.
SCC can be integrated into existing instruments for better exoplanet detection.
Abstract
The two main advantages of exoplanet imaging are the discovery of objects in the outer part of stellar systems -- constraining models of planet formation --, and its ability to spectrally characterize the planets -- information on their atmosphere. It is however challenging because exoplanets are up to 1e10 times fainter than their star and separated by a fraction of arcsecond. Current instruments like SPHERE/VLT or GPI/Gemini detect young and massive planets because they are limited by non-common path aberrations (NCPA) that are not corrected by the adaptive optics system. To probe fainter exoplanets, new instruments capable of minimizing the NCPA is needed. One solution is the self-coherent camera (SCC) focal plane wavefront sensor, whose performance was demonstrated in laboratory attenuating the starlight by factors up to several 1e8 in space-like conditions at angular separations…
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.
