Infrared wavefront sensing for adaptive optics assisted Galactic Center observations with the VLT interferometer and GRAVITY: operation and results
Stefan Hippler, Wolfgang Brandner, Silvia Scheithauer, Martin Kulas,, Johana Panduro, Peter Bizenberger, Henry Bonnet, Casey Deen, Fran\c{c}oise, Delplancke-Str\"obele, Frank Eisenhauer, Gert Finger, Zoltan Hubert, Johann, Kolb, Eric M\"uller, Laurent Pallanca, Julien Woillez

TL;DR
This paper details the operation and performance of the CIAO adaptive optics system with the GRAVITY instrument at the VLT, demonstrating near-infrared wavefront sensing capabilities for Galactic Center observations over three years.
Contribution
It introduces the first use of the Saphira detector as a wavefront sensor for near-infrared adaptive optics in a major astronomical facility.
Findings
CIAO achieves near-diffraction-limited imaging at VLT UTs.
Performance varies with weather conditions over three years.
Successful integration of Saphira detector for wavefront sensing.
Abstract
This article describes the operation of the near-infrared wavefront sensing based Adaptive Optics (AO) system CIAO. The Coud\'e Infrared Adaptive Optics (CIAO) system is a central auxiliary component of the Very Large Telescope (VLT) interferometer (VLTI). It enables in particular the observations of the Galactic Center (GC) using the GRAVITY instrument. GRAVITY is a highly specialized beam combiner, a device that coherently combines the light of the four 8-m telescopes and finally records interferometric measurements in the K-band on 6 baselines simultaneously. CIAO compensates for phase disturbances caused by atmospheric turbulence, which all four 8 m Unit Telescopes (UT) experience during observation. Each of the four CIAO units generates an almost diffraction-limited image quality at its UT, which ensures that maximum flux of the observed stellar object enters the fibers of the…
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.
