26 citations · 137 across the 33 of their papers we have counts for
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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…
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 …
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
Fast-Cadence High-Contrast Imaging with Information Field Theory
Jakob Roth, Gianluca Li Causi, Vincenzo Testa +2
Although many exoplanets have been indirectly detected over the last years, direct imaging of them with ground-based telescopes remains challenging. In the presence of atmospheric…