Deep Images of the Galactic Center with GRAVITY
GRAVITY Collaboration: R. Abuter, N. Aimar, A. Amorim, P. Arras, M., Baub\"ock, J.P. Berger, H. Bonnet, W. Brandner, G. Bourdarot, V. Cardoso, Y., Cl\'enet, R. Davies, P.T. de Zeeuw, J. Dexter, Y. Dallilar, A. Drescher, F., Eisenhauer, T. En{\ss}lin, N.M. F\"orster Schreiber

TL;DR
This paper introduces a new Bayesian imaging tool, G^R, for high-resolution near-infrared observations of the Galactic Center with GRAVITY, enabling the detection of faint stars and detailed source structures near Sgr A*.
Contribution
The paper presents G^R, a novel Bayesian imaging algorithm tailored for GRAVITY data, improving the resolution and sensitivity of Galactic Center imaging beyond previous methods.
Findings
Deepest images of the Galactic Center to date at milliarcsecond scales.
Detection of multiple stars, including S29, S55, S62, S38, S42, S60, S63, and a new star S300.
Updated orbits and flux estimates for the observed stars.
Abstract
Stellar orbits at the Galactic Center provide a very clean probe of the gravitational potential of the supermassive black hole. They can be studied with unique precision, beyond the confusion limit of a single telescope, with the near-infrared interferometer GRAVITY. Imaging is essential to search the field for faint, unknown stars on short orbits which potentially could constrain the black hole spin. Furthermore, it provides the starting point for astrometric fitting to derive highly accurate stellar positions. Here, we present , a new imaging tool specifically designed for Galactic Center observations with GRAVITY. The algorithm is based on a Bayesian interpretation of the imaging problem, formulated in the framework of information field theory and building upon existing works in radio-interferometric imaging. Its application to GRAVITY observations from 2021 yields the…
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