activity
20192026
most citedRe-Envisioning Numerical Information Field Theory (NIFTy.re): A Library for Gaussian Processes and Variational Inference

26 citations · 137 across the 33 of their papers we have counts for

collaborators

35 papers

astro-ph.IM2026

Bayesian Image Reconstruction with Spatially Variant PSFs in X-ray Astronomy

Vincent Eberle, Matteo Guardiani, Margret Westerkamp +4

X-ray observatories introduce unwanted instrumental effects into photon count data that must be accurately accounted for. In particular, the spatially variant point spread function…

astro-ph.IM2026

Beyond : Reconstructing Air Shower Profiles with Information Field Theory with SKA-Low

Keito Watanabe, Tim Huege, Torsten Enßlin +33

While radio measurements of extensive air showers have shown to achieve a high precision of sensitivity, it has been shown that parameters beyond …

math.NA2026

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…

astro-ph.GA2026

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-…

astro-ph.IM2026

Interferometric Analysis of Air-shower Radio Emission in the Near Field with an Information Field Theory Approach

Keito Watanabe, Karen Terveer, Sjoerd Bouma +29

Current reconstruction techniques for air-shower radio emission generated by cosmic rays have shown great success, having been applied to several radio detectors over the last deca…

astro-ph.IM2026

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…

astro-ph.CO2026

Study of Polarized Emission in Radio Halos and Filaments in the SKA Telescopes Era

Valentina Vacca, Federica Govoni, Matteo Murgia +12

Synchrotron diffuse emission in merging galaxy clusters and along filaments connecting them demonstrates the presence of relativistic particles and magnetic fields in these environ…

astro-ph.HE2026

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…

astro-ph.IM2026

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…

astro-ph.CO2026

Nonparametric Variational Inference Reconstruction of the Cosmic Expansion History from SNe Ia -- the charm2 code

Iason Saganas, Matteo Guardiani, Natalia Porqueres +1

Cosmological analyses using the latest set of type Ia SNe data weakly favor an evolving dark energy (EDE) model without strongly disfavoring the standard LCDM paradigm. Nonparametr…

astro-ph.IM2025

The Universal Bayesian Imaging Kit

Torsten Enßlin, Vincent Eberle, Matteo Guardiani +1

Bayesian imaging of astrophysical measurement data shares universal properties across the electromagnetic spectrum: it requires probabilistic descriptions of possible images and sp…

astro-ph.IM2025

aim-resolve: Automatic Identification and Modeling for Bayesian Radio Interferometric Imaging

Richard Fuchs, Jakob Knollmüller, Jakob Roth +4

Modern radio interferometers deliver large volumes of data containing high-sensitivity sky maps over wide fields-of-view. These large area observations can contain various and supe…

astro-ph.IM2025

The ORCA-TWIN qCMOS Experiment I. Science case and commissioning at Calar Alto Observatory

Martin M. Roth, Pasko Roje, Stella Vjesnica +18

We describe a pilot study to explore a new generation of fast and low noise CMOS image sensors for time domain astronomy, using two remote telescopes with a baseline of 1635 km. Th…

astro-ph.IM2025

Bayesian polarization calibration and imaging in very long baseline interferometry

Jong-Seo Kim, Jakob Roth, Jongho Park +6

Extracting polarimetric information from very long baseline interferometry (VLBI) data is demanding but vital for understanding the synchrotron radiation process and the magnetic f…

astro-ph.IM2025

Information Field Theory with JAX infers Air Shower Electric Currents from Antenna Signal Traces

Maximilian Straub, Torsten Enßlin, Martin Erdmann +2

Direct imaging of cosmic-ray-induced particle showers during daylight is a long-standing challenge in astroparticle physics. A promising avenue for capturing images of these shower…

astro-ph.IM2025

Information Field Theory based Event Reconstruction for Cosmic Ray Radio Detectors

Simon Strähnz, Tim Huege, Torsten Enßlin +2

Detection of extensive air showers with radio antennas is an appealing technique in cosmic ray physics. However, because of the high level of measurement noise, current reconstruct…

astro-ph.IM2025★ 1 cited

Latent-space Field Tension for Astrophysical Component Detection An application to X-ray imaging

Matteo Guardiani, Vincent Eberle, Margret Westerkamp +3

Modern observatories are designed to deliver increasingly detailed views of astrophysical signals. To fully realize the potential of these observations, principled data-analysis me…

physics.data-an2024★ 1 cited

Electric Field Reconstruction with Information Field Theory

Simon Strähnz, Tim Huege, Philipp Frank +1

Reconstructing the electric field from the measured voltages in an antenna, unfolding the antenna response, comes with several problems. Due to the noisiness of the signal it is of…

astro-ph.IM2024★ 1 cited

Bayesian Multi-wavelength Imaging of the LMC SN1987A with SRG/eROSITA

Vincent Eberle, Matteo Guardiani, Margret Westerkamp +4

The eROSITA Early Data Release (EDR) and eROSITA All-Sky Survey (eRASS1) data have already revealed a remarkable number of undiscovered X-ray sources. Using Bayesian inference and…

astro-ph.IM2024

J-UBIK: The JAX-accelerated Universal Bayesian Imaging Kit

Vincent Eberle, Matteo Guardiani, Margret Westerkamp +4

Many advances in astronomy and astrophysics originate from accurate images of the sky emission across multiple wavelengths. This often requires reconstructing spatially and spectra…

astro-ph.HE2024★ 11 cited

Imaging a ring-like structure and the extended jet of M87 at 86 GHz

Jong-Seo Kim, Hendrik Mueller, Aleksei S. Nikonov +5

The galaxy M87 is one of the prime targets for high resolution radio imaging to investigate the supermassive black hole, accretion flow, and relativistic jet. However, it remains c…

physics.comp-ph2024

Towards a Field Based Bayesian Evidence Inference from Nested Sampling Data

Margret Westerkamp, Jakob Roth, Philipp Frank +2

Nested sampling (NS) is a stochastic method for computing the log-evidence of a Bayesian problem. It relies on stochastic estimates of prior volumes enclosed by likelihood contours…

astro-ph.IM2024★ 14 cited

Bayesian self-calibration and imaging in Very Long Baseline Interferometry

Jong-Seo Kim, Aleksei S. Nikonov, Jakob Roth +5

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 amplitude…

astro-ph.GA2024★ 21 cited

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…