[HTML][HTML] First Sagittarius A* event horizon telescope results. III. Imaging of the galactic center supermassive black hole
First Sagittarius A* Event Horizon Telescope Results. III. Imaging of the Galactic Center
Supermassive Black Hole - IOPscience Skip to content IOP Science home Accessibility Help …
Supermassive Black Hole - IOPscience Skip to content IOP Science home Accessibility Help …
The photon ring in m87
We report measurements of the gravitationally lensed secondary image—the first in an
infinite series of so-called" photon rings"—around the supermassive black hole M87* via …
infinite series of so-called" photon rings"—around the supermassive black hole M87* via …
Resolving nearby dust clouds
RH Leike, M Glatzle, TA Enßlin - Astronomy & Astrophysics, 2020 - aanda.org
Aims. Mapping the interstellar medium in 3D provides a wealth of insights into its inner
working. The Milky Way is the only galaxy for which detailed 3D mapping can be achieved in …
working. The Milky Way is the only galaxy for which detailed 3D mapping can be achieved in …
On the three-dimensional structure of local molecular clouds
We leverage the 1 pc spatial resolution of the Leike et al. three-dimensional (3D) dust map
to characterize the 3D structure of nearby molecular clouds (d≲ 400 pc). We start by" …
to characterize the 3D structure of nearby molecular clouds (d≲ 400 pc). We start by" …
Deep probabilistic imaging: Uncertainty quantification and multi-modal solution characterization for computational imaging
Computational image reconstruction algorithms generally produce a single image without
any measure of uncertainty or confidence. Regularized Maximum Likelihood (RML) and …
any measure of uncertainty or confidence. Regularized Maximum Likelihood (RML) and …
Hybrid very long baseline interferometry imaging and modeling with THEMIS
Generating images from very long baseline interferometric observations poses a difficult,
and generally not unique, inversion problem. This problem is simplified by the introduction of …
and generally not unique, inversion problem. This problem is simplified by the introduction of …
Image reconstruction algorithms in radio interferometry: From handcrafted to learned regularization denoisers
We introduce a new class of iterative image reconstruction algorithms for radio
interferometry, at the interface of convex optimization and deep learning, inspired by plug …
interferometry, at the interface of convex optimization and deep learning, inspired by plug …
frankenstein: protoplanetary disc brightness profile reconstruction at sub-beam resolution with a rapid Gaussian process
Interferometric observations of the mm dust distribution in protoplanetary discs are now
showing a ubiquity of annular gap and ring substructures. Their identification and accurate …
showing a ubiquity of annular gap and ring substructures. Their identification and accurate …
Deep images of the Galactic center with GRAVITY
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 …
of the supermassive black hole. They can be studied with unique precision, beyond the …
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 …
very long baseline interferometry (VLBI) data processing in order to correct antenna-based …