activity
20172026
most citedImproved Constraints on the 21 cm EoR Power Spectrum and the X-Ray Heating of the IGM with HERA Phase I Observations

184 citations · 681 across the 44 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

astro-ph.IM2019★ 78 cited

Mitigating Internal Instrument Coupling II: A Method Demonstration with the Hydrogen Epoch of Reionization Array

Nicholas S. Kern, Aaron R. Parsons, Joshua S. Dillon +63

We present a study of internal reflection and cross coupling systematics in Phase I of the Hydrogen Epoch of Reionization Array (HERA). In a companion paper, we outlined the mathem…

astro-ph.IM2019★ 47 cited

Absolute Calibration Strategies for the Hydrogen Epoch of Reionization Array and Their Impact on the 21 cm Power Spectrum

Nicholas S. Kern, Joshua S. Dillon, Aaron R. Parsons +69

We discuss absolute calibration strategies for Phase I of the Hydrogen Epoch of Reionization Array (HERA), which aims to measure the cosmological 21 cm signal from the Epoch of Rei…

astro-ph.CO2019

A simplified, lossless re-analysis of PAPER-64

Matthew Kolopanis, Daniel C. Jacobs, Carina Cheng +20

We present limits on the 21cm power spectrum from the Epoch of Reionization (EoR) using data from the 64 antenna configuration of the Donald C. Backer Precision Array for Probing t…

astro-ph.IM2019

Understanding the HERA Phase I receiver system with simulations and its impact on the detectability of the EoR delay power spectrum

Nicolas Fagnoni, Eloy de Lera Acedo, David R. DeBoer +67

The detection of the Epoch of Reionization (EoR) delay power spectrum using a "foreground avoidance method" highly depends on the instrument chromaticity. The systematic effects in…

astro-ph.IM2019★ 9 cited

A Roadmap for Astrophysics and Cosmology with High-Redshift 21 cm Intensity Mapping

The Hydrogen Epoch of Reionization Array, Collaboration, James E. Aguirre +29

In this white paper, we lay out a US roadmap for high-redshift 21 cm cosmology (30 < z < 6) in the 2020s. Beginning with the currently-funded HERA and MWA Phase II projects and adv…

astro-ph.IM2019★ 56 cited

Optimizing Sparse RFI Prediction using Deep Learning

Joshua Kerrigan, Paul La Plante, Saul Kohn +61

Radio Frequency Interference (RFI) is an ever-present limiting factor among radio telescopes even in the most remote observing locations. When looking to retain the maximum amount…