Mass distribution in the Galactic Center based on interferometric astrometry of multiple stellar orbits

R Abuter, N Aimar, A Amorim, J Ball… - Astronomy & …, 2022 - aanda.org
Stars orbiting the compact radio source Sgr A* in the Galactic Center serve as precision
probes of the gravitational field around the closest massive black hole. In addition to …

A review of information field theory for Bayesian inference of random fields

A Pandey, A Singh, P Gardoni - Structural Safety, 2022 - Elsevier
Several physical problems require Bayesian inference of spatial, or spatio-temporal
phenomenon–often modeled as random fields defined on a continuous domain–from a …

Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imaging

TI Liaudat, M Mars, MA Price, M Pereyra… - RAS Techniques …, 2024 - academic.oup.com
Next-generation radio interferometers like the Square Kilometer Array have the potential to
unlock scientific discoveries thanks to their unprecedented angular resolution and …

Deep images of the Galactic center with GRAVITY

R Abuter, N Aimar, A Amorim, P Arras… - Astronomy & …, 2022 - aanda.org
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 …

Data combination: interferometry and single-dish imaging in radio astronomy

A Plunkett, A Hacar, L Moser-Fischer… - Publications of the …, 2023 - iopscience.iop.org
Modern interferometers routinely provide radio-astronomical images down to subarcsecond
resolution. However, interferometers filter out spatial scales larger than those sampled by …

Using multiobjective optimization to reconstruct interferometric data. Part I

H Müller, A Mus, A Lobanov - Astronomy & Astrophysics, 2023 - aanda.org
Context. Imaging in radioastronomy is an ill-posed inverse problem. However, with
increasing sensitivity and capabilities of telescopes, several strategies have been …

Bayesian self-calibration and imaging in very long baseline interferometry

JS Kim, AS Nikonov, J Roth, TA Enßlin… - Astronomy & …, 2024 - aanda.org
Context. Self-calibration methods with the CLEAN algorithm have been widely employed in
very long baseline interferometry (VLBI) data processing in order to correct antenna-based …

Multiscale and multidirectional very long baseline interferometry imaging with CLEAN

H Müller, AP Lobanov - Astronomy & Astrophysics, 2023 - aanda.org
Context. Very long baseline interferometry (VLBI) is a radio-astronomical technique whereby
the correlated signal from various baselines is combined into an image of the highest …

Strong-lensing source reconstruction with variationally optimized Gaussian processes

K Karchev, A Coogan, C Weniger - Monthly Notices of the Royal …, 2022 - academic.oup.com
Strong-lensing images provide a wealth of information both about the magnified source and
about the dark matter distribution in the lens. Precision analyses of these images can be …

Geometric variational inference

P Frank, R Leike, TA Enßlin - Entropy, 2021 - mdpi.com
Efficiently accessing the information contained in non-linear and high dimensional
probability distributions remains a core challenge in modern statistics. Traditionally …