2 citations · 2 across the 5 of their papers we have counts for
6 papers · 1 filter
Application of Bayesian Statistical Tools to SKA Telescopes Polarization Surveys to Study Magnetization of the Large-scale Structure of the Universe
Valentina Vacca, Sebastian Hutschenreuter, Andrea Cabriolu +18
Understanding cosmological magnetic fields requires a detailed knowledge of magnetism in the different environments of the large-scale structure of the Universe. Magnetic fields ar…
DEFROST: Detecting Excess in Faraday Rotation thrOugh Sophisticated analysis Techniques
Valentina Vacca, Sebastian Hutschenreuter, Andrea Cabriolu +7
Understanding origin and evolution of cosmological magnetic fields requires knowledge of magnetic fields in different extragalactic environments. In this context, a powerful tool i…
fast-resolve: Fast Bayesian Radio Interferometric Imaging
Jakob Roth, Philipp Frank, Hertzog L. Bester +3
Context: Interferometric imaging is algorithmically and computationally challenging as there is no unique inversion from the measurement data back to the sky maps, and the datasets…
JAXbind: Bind any function to JAX
Jakob Roth, Martin Reinecke, Gordian Edenhofer
JAX is widely used in machine learning and scientific computing, the latter of which often relies on existing high-performance code that we would ideally like to incorporate into J…
Re-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference
Gordian Edenhofer, Philipp Frank, Jakob Roth +7
Imaging is the process of transforming noisy, incomplete data into a space that humans can interpret. NIFTy is a Bayesian framework for imaging and has already successfully been ap…
A BRAIN study to tackle image analysis with artificial intelligence in the ALMA 2030 era
Fabrizia Guglielmetti, Michele Delli Veneri, Ivano Baronchelli +9
An ESO internal ALMA development study, BRAIN, is addressing the ill-posed inverse problem of synthesis image analysis employing astrostatistics and astroinformatics. These emergin…