26 citations · 68 across the 12 of their papers we have counts for
12 papers
Variational Inference Using a Differentiable Multigrid Linear Solver
Andrés Ramírez, Philipp Haim, David Föger +9
Gradient-based Bayesian inference methods require efficient access to Jacobian and adjoint-Jacobian operators of high-dimensional forward models. While multigrid solvers provide ne…
Milky Way Atlas: A radial-velocity-resolved, three-dimensional map of H I within 1.25 kpc
Lewis McCallum, Laurin Söding, Mareike Berkner +9
We present a velocity-resolved three-dimensional map of local atomic hydrogen (HI) within 1.25 kpc of the Sun, tackling the challenge of converting emission from position-position-…
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…
A Three-Dimensional Tomographic Reconstruction of the Galactic Cosmic-Ray Proton Density
Hanieh Zandinejad, Jakob Roth, Vo Hong Minh Phan +7
Cosmic rays (CRs) are a ubiquitous non-thermal component of the interstellar medium (ISM). A data-driven three-dimensional (3D) map of their distribution is essential for understan…
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…
The radial component of the local Galactic magnetic field in 3D
Lewis McCallum, Philipp Frank, Sebastian Hutschenreuter +9
We present a distance-resolved reconstruction of the local line-of-sight Galactic magnetic field, , by combining a 3D electron density () map derived from dust map-i…
A Bayesian Method for Air-Shower Reconstruction using Information Field Theory
Karen Terveer, Sjoerd Bouma, Stijn Buitink +12
The radio detection of extensive air showers provides a powerful method for studying the origin of high-energy cosmic rays. The Low-Frequency Array (LOFAR) offers unprecedentedly d…
Spatially Coherent 3D Distributions of HI and CO in the Milky Way
Laurin Söding, Gordian Edenhofer, Torsten A. Enßlin +6
The spatial distribution of the gaseous components of the Milky Way is of great importance for a number of different fields, for example, Galactic structure, star formation, and co…
The influence of the 3D Galactic gas structure on cosmic-ray transport and -ray emission
Andrés Ramírez, Gordian Edenhofer, Torsten A. Enßlin +6
Cosmic rays (CRs) play a major role in the dynamics of the interstellar medium (ISM). Their interactions and transport ionize, heat, and push the ISM thereby coupling different reg…
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…
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…
Reconstructing non-repeating radio pulses with Information Field Theory
Christoph Welling, Philipp Frank, Torsten A. Enßlin +1
Particle showers in dielectric media produce radio signals which are used for the detection of both ultra-high energy cosmic rays and neutrinos with energies above a few PeV. The a…