14 citations · 42 across the 14 of their papers we have counts for
5 papers · 1 filter
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…
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…
JAX-bandflux: differentiable supernovae SALT modelling for cosmological analysis on GPUs
Samuel Alan Kossoff Leeney
JAX-bandflux is a JAX implementation of critical supernova modelling functionality for cosmological analysis. The codebase implements key components of the established library SNCo…
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…
Accounting for Noise and Singularities in Bayesian Calibration Methods for Global 21-cm Cosmology Experiments
Christian J. Kirkham, William J. Handley, Jiacong Zhu +6
Due to the large dynamic ranges involved with separating the cosmological 21-cm signal from the Cosmic Dawn from galactic foregrounds, a well-calibrated instrument is essential to…