Geometric Variational Inference

Article Astronomy & Astrophysics

Comparison of classical and Bayesian imaging in radio interferometry: Cygnus A with CLEAN and resolve

Philipp Arras et al.

Summary: The traditional CLEAN imaging algorithm in radio interferometry has several shortcomings, such as the inability to handle the concept of diffuse flux and generating unphysical negative flux regions. In contrast, the Bayesian imaging algorithm resolve can effectively address these issues and achieve super-resolution, albeit at the cost of higher computational effort.

ASTRONOMY & ASTROPHYSICS (2021)

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Article Physics, Multidisciplinary

Field Dynamics Inference for Local and Causal Interactions

Philipp Frank et al.

Summary: Inference of fields defined in space and time from observational data is a core discipline in many scientific areas. The proposed method in this work is based on statistically homogeneous random fields defined in space and time and demonstrates how to reconstruct the field together with its prior correlation structure from data. The prior model of the correlation structure is described in a non-parametric fashion and solely builds on fundamental physical assumptions such as space-time homogeneity, locality, and causality.

ANNALEN DER PHYSIK (2021)

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Article Astronomy & Astrophysics

Reconstructing non-repeating radio pulses with Information Field Theory

C. Welling et al.

Summary: This paper discusses the importance of radio signals from particle showers in dielectric media for detecting cosmic rays and neutrinos, as well as the application of Information Field Theory to accurately reconstruct pulse parameters from noisy data.

JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS (2021)

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Article Statistics & Probability