26 citations · 33 across the 8 of their papers we have counts for
10 papers
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…
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…
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…
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…
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…
Inferring Evidence from Nested Sampling Data via Information Field Theory
Margret Westerkamp, Jakob Roth, Philipp Frank +2
Nested sampling provides an estimate of the evidence of a Bayesian inference problem via probing the likelihood as a function of the enclosed prior volume. However, the lack of pre…
Dynamical field inference and supersymmetry
Margret Westerkamp, Igor Ovchinnikov, Philipp Frank +1
Knowledge on evolving physical fields is of paramount importance in science, technology, and economics. Dynamical field inference (DFI) addresses the problem of reconstructing a st…
The rationality of irrationality in the Monty Hall problem
Torsten Enßlin, Margret Westerkamp
The rational solution of the Monty Hall problem unsettles many people. Most people, including the authors, think it feels wrong to switch the initial choice of one of the three doo…