24 citations · 68 across the 12 of their papers we have counts for
7 papers · 1 filter
Validating posteriors obtained by an emulator when jointly-fitting mock data of the global 21-cm signal and high-z galaxy UV luminosity function
J. Dorigo Jones, D. Rapetti, J. Mirocha +3
Although neural-network-based emulators enable efficient parameter estimation in 21-cm cosmology, the accuracy of such constraints is poorly understood. We employ nested sampling t…
Fitting and Comparing Galactic Foreground Models for Unbiased 21-cm Cosmology
Joshua J. Hibbard, David Rapetti, Jack O. Burns +2
Accurate detection of the cosmological 21-cm global signal requires galactic foreground models which can remove power over ~. Although foreground and global signal models una…
Constraining Warm Dark Matter and Pop III stars with the Global 21-cm Signal
Joshua J. Hibbard, Jordan Mirocha, David Rapetti +3
Upcoming ground and space-based experiments may have sufficient accuracy to place significant constraints upon high-redshift star formation, Reionization, and dark matter (DM) usin…
Lost Horizon: Quantifying the Effect of Local Topography on Global 21-cm Cosmology Data Analysis
Neil Bassett, David Rapetti, Keith Tauscher +4
We present an investigation of the horizon and its effect on global 21-cm observations and analysis. We find that the horizon cannot be ignored when modeling low frequency observat…
Global 21-cm signal extraction from foreground and instrumental effects IV: Accounting for realistic instrument uncertainties and their overlap with foreground and signal models
Keith Tauscher, David Rapetti, Bang D. Nhan +6
All 21-cm signal experiments rely on electronic receivers that affect the data via both multiplicative and additive biases through the receiver's gain and noise temperature. While…
Ensuring Robustness in Training Set Based Global 21-cm Cosmology Analysis
Neil Bassett, David Rapetti, Keith Tauscher +2
We present a methodology for ensuring the robustness of our analysis pipeline in separating the global 21-cm hydrogen cosmology signal from large systematics based on singular valu…