From the 1 of 23 linked papers with an AI index.
23 papers
Impact of numerical stability in Bayesian noise wave calibration on global 21-cm experiments
Saswata Dasgupta, Adarsh Kumar Dash, Dominic Anstey +3
The paper identifies and mitigates a numerical instability in the Bayesian noise‑wave calibration used for global 21‑cm experiments, improving reproducibility and accuracy of recei…
Simulation-based tension quantification of the cosmic dipole
Mali Land-Strykowski, Harry T. J. Bevins, Oliver T. Oayda +1
The cosmic dipole measured in surveys of cosmologically distant sources consistently exceeds the expectation derived from the cosmic microwave background, posing a significant chal…
Synchrotron and free-free mapping with simulated REACH observations between 50-170 MHz
Daniel Robins, Dominic Anstey, Harry Bevins +2
Global 21cm experiments aim to detect the hydrogen 21cm signal by separating it from foreground emission that can be orders of magnitude brighter than the signal. REACH (the Radio…
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…
Star-formation variability on the star-forming main sequence during the Epoch of Reionization
H. T. J. Bevins, S. Tacchella, C. Simmonds
Star formation in galaxies is intrinsically stochastic, driven by physical processes operating across a wide range of scales. The scatter in the star-forming main sequence relation…