The GRAVITY Coud\'e Infrared Adaptive Optics (CIAO) system for the VLT Interferometer
Sarah Kendrew (1), Stefan Hippler (1), Wolfgang Brandner (1), Yann, Cl\'enet (2), Casey Deen (1), Eric Gendron (2), Armin Huber (1), Ralf Klein, (1), Werner Laun (1), Rainer Lenzen (1), Vianak Naranjo (1), Udo Neumann (1),, Jos\'e Ramos (1), Ralf-Rainer Rohloff (1)

TL;DR
The paper describes the design and expected performance of the adaptive optics system for the GRAVITY instrument on the VLT Interferometer, enhancing near-infrared imaging and astrometry capabilities.
Contribution
It introduces the design of wavefront sensors and real-time control systems for adaptive optics correction in the near-infrared, tailored for challenging regions like the Galactic Centre.
Findings
Expected residual wavefront error a4400 nm at 500 Hz
Use of advanced SAPHIRA detectors for low-noise, fast readout
Enhanced adaptive optics performance in infrared wavelengths
Abstract
GRAVITY is a second generation instrument for the VLT Interferometer, designed to enhance the near-infrared astrometric and spectro-imaging capabilities of VLTI. Combining beams from four telescopes, GRAVITY will provide an astrometric precision of order 10 micro-arcseconds, imaging resolution of 4 milli-arcseconds, and low and medium resolution spectro-interferometry, pushing its performance far beyond current infrared interfero- metric capabilities. To maximise the performance of GRAVITY, adaptive optics correction will be implemented at each of the VLT Unit Telescopes to correct for the effects of atmospheric turbulence. To achieve this, the GRAVITY project includes a development programme for four new wavefront sensors (WFS) and NIR-optimized real time control system. These devices will enable closed-loop adaptive correction at the four Unit Telescopes in the range 1.4-2.4 {\mu}m.…
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.
