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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

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Showing 2024Show all

11 papers · 1 filter

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…

astro-ph.HE2024

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…

astro-ph.IM2024★ 7 cited

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…

astro-ph.HE2024★ 2 cited

Non-parametric Bayesian reconstruction of Galactic magnetic fields using Information Field Theory: The inclusion of line-of-sight information in ultra-high energy cosmic ray backtracking

Alexandros Tsouros, Abhijit B. Bendre, Gordian Edenhofer +4

(abridged) Ultra-high energy cosmic rays (UHECRs) are extremely energetic charged particles with energies surpassing eV. Their sources remain elusive, obscured by deflect…

astro-ph.IM2024★ 26 cited

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…