26 citations · 38 across the 11 of their papers we have counts for
9 papers · 1 filter
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…
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…
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…
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…