activity
20172026
most citedA General Bayesian Framework for Foreground Modelling and Chromaticity Correction for Global 21cm Experiments

78 citations · 769 across the 50 of their papers we have counts for

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Showing 2025 · astro-ph.IMShow all

5 papers · 2 filters

astro-ph.IM2025

PolySwyft: sequential simulation-based nested sampling

Kilian H. Scheutwinkel, Will Handley, Christoph Weniger +1

We present PolySwyft, a novel, non-amortised simulation-based inference framework that unites the strengths of nested sampling (NS) and neural ratio estimation (NRE) to tackle chal…

astro-ph.IM2025★ 1 cited

Bayesian Anomaly Detection for Ia Cosmology: Automating SALT3 Data Curation

S. A. K. Leeney, W. J. Handley, H. T. J. Bevins +1

Precision cosmology with Type Ia supernovae (SNe Ia) requires robust quality control of large, heterogeneous datasets. Current data processing often relies on manual, subjective re…

astro-ph.IM2025★ 1 cited

Quantifying the Impact of Lunar and Planetary Occultation on Experimental Global 21 cm Cosmology

Joe H. N. Pattison, Dominic J. Anstey, Eloy de Lera Acedo

The global 21 cm signal from the hyperfine transition of cosmic atomic hydrogen is theorised to track the state of the early Universe via the analysis of its absorption and emissio…

astro-ph.IM2025★ 3 cited

Radiometer Calibration using Machine Learning

S. A. K. Leeney, H. T. J. Bevins, E. de Lera Acedo +35

Radiometers are crucial instruments in radio astronomy, forming the primary component of nearly all radio telescopes. They measure the intensity of electromagnetic radiation, conve…

astro-ph.IM2025★ 9 cited

Square Kilometre Array Science Data Challenge 3a: foreground removal for an EoR experiment

A. Bonaldi, P. Hartley, R. Braun +179

We present and analyse the results of the Science data challenge 3a (SDC3a, https://sdc3.skao.int/challenges/foregrounds), an EoR foreground-removal community-wide exercise organis…