27 citations · 85 across the 5 of their papers we have counts for
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astro-ph.CO2022★ 24 cited
A Bayesian approach to modelling spectrometer data chromaticity corrected using beam factors -- I. Mathematical formalism
Peter H. Sims, Judd D. Bowman, Nivedita Mahesh +7
Accurately accounting for spectral structure in spectrometer data induced by instrumental chromaticity on scales relevant for detection of the 21-cm signal is among the most signif…
astro-ph.CO2022★ 27 cited
A Bayesian Calibration Framework for EDGES
Steven G. Murray, Judd D. Bowman, Peter H. Sims +5
We develop a Bayesian model that jointly constrains receiver calibration, foregrounds and cosmic 21cm signal for the EDGES global 21\,cm experiment. This model simultaneously descr…