activity
20202025
most citedA Bayesian Calibration Framework for EDGES

27 citations · 85 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.CO2025★ 4 cited

A general Bayesian model-validation framework based on null-test evidence ratios, with an example application to global 21-cm cosmology

Peter H. Sims, Steven G. Murray, Judd D. Bowman +8

Comparing composite models for multi-component observational data is a prevalent scientific challenge. When fitting composite models, there exists the potential for systematics fro…

astro-ph.GA2023★ 4 cited

Low-Frequency Radio Recombination Lines Away From the Inner Galactic Plane

Akshatha K. Vydula, Judd D. Bowman, David Lewis +8

Diffuse radio recombination lines (RRLs) in the Galaxy are possible foregrounds for redshifted 21~cm experiments. We use EDGES drift scans centered at ~declination to char…

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…

astro-ph.GA2020★ 26 cited

Absolute Calibration of Diffuse Radio Surveys at 45 and 150 MHz

Raul A. Monsalve, Alan E. E. Rogers, Judd D. Bowman +7

We use EDGES measurements to determine scale and zero-level corrections to the diffuse radio surveys by Guzmán et al. at MHz and Landecker & Wielebinski at MHz. We find…