12 papers
Optimizing Foreground Modelling for Global 21cm Cosmology with GPU-Accelerated Nested Sampling
Jacob L. Tutt, Peter H. Sims, Joe H. N. Pattison +3
The global 21-cm signal provides a powerful probe of early-Universe astrophysics, but its detection is hindered by Galactic foregrounds that are orders of magnitude brighter than t…
Scalable Bayesian data curation for next-generation radio experiments
S. A. K. Leeney, E. de Lera Acedo, W. J. Handley +42
Next-generation radio telescopes produce data volumes that preclude manual quality assessment, yet data curation remains essential for science. We present a general, fully automati…
Neural Bayesian Anomaly Mitigation: A Robust Loss that Doubles as an Unsupervised Contamination Classifier
S. A. K. Leeney, W. J. Handley, H. T. J. Bevins +1
Engineered robust losses such as Huber, Student-, and generalised cross-entropy make supervised models tolerant of contamination but cannot answer which observations are corrupt…
Optimisation of calibration sources for global 21-cm experiments: the REACH case
Adarsh Kumar Dash, Dominic Anstey, Harry T. J. Bevins +41
The spin-flip 21-cm signal from the Cosmic Dawn and the Epoch of Reionization is an essential probe of the conditions that led to the formation of the first luminous objects in the…
Conditional Neural Bayes Ratio Estimation for Experimental Design Optimisation
S. A. K. Leeney, T. Gessey-Jones, W. J. Handley +3
For frontier experiments operating at the edge of detectability, instrument design directly determines the probability of discovery. We introduce Conditional Neural Bayes Ratio Est…
Circuit Modeling for In Situ 21 cm Radiometer Calibration
Gary Vincent Charles Allen, Saurabh Pegwal, Dirk de Villiers +42
Recent experiments in cosmology, particularly those aimed at detecting the faint, redshifted, global 21 cm hydrogen line (depth < ~200 mK, z > 7.5), have imposed stringent new requ…