Early High-contrast Imaging Results with Keck/NIRC2-PWFS: The SR 21 Disk
Taichi Uyama, Bin Ren, Dimitri Mawet, Garreth Ruane, Charlotte Z., Bond, Jun Hashimoto, Michael C. Liu, Takayuki Muto, Jean-Baptiste Ruffio,, Nicole Wallack, Christoph Baranec, Brendan P. Bowler, Elodie Choquet, Mark, Chun, Jacques-Robert Delorme, Kevin Fogarty, Olivier Guyon

TL;DR
This paper reports on high-contrast imaging of the SR 21 disk using Keck/NIRC2 with a near-infrared pyramid wavefront sensor, achieving better image quality and revealing spiral features in total intensity at L' band, demonstrating improved adaptive optics performance for red targets.
Contribution
First demonstration of NIR pyramid wavefront sensor with Keck/NIRC2, improving AO performance and enabling detailed imaging of red targets like SR 21.
Findings
Achieved ~20% better Strehl ratio compared to optical wavefront sensing.
Detected spiral features in SR 21 in total intensity at L' band.
Improved contrast limits at small angular separations.
Abstract
High-contrast imaging of exoplanets and protoplanetary disks depends on wavefront sensing and correction made by adaptive optics instruments. Classically, wavefront sensing has been conducted at optical wavelengths, which made high-contrast imaging of red targets such as M-type stars or extincted T Tauri stars challenging. Keck/NIRC2 has combined near-infrared (NIR) detector technology with the pyramid wavefront sensor (PWFS). With this new module we observed SR~21, a young star that is brighter at NIR wavelengths than at optical wavelengths. Compared with the archival data of SR~21 taken with the optical wavefront sensing we achieved 20\% better Strehl ratio in similar natural seeing conditions. Further post-processing utilizing angular differential imaging and reference-star differential imaging confirmed the spiral feature reported by the VLT/SPHERE polarimetric observation,…
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.
