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

78 citations · 255 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.CO202023 cited

Detection of Cosmic Structures using the Bispectrum Phase. II. First Results from Application to Cosmic Reionization Using the Hydrogen Epoch of Reionization Array

Nithyanandan Thyagarajan, Chris L. Carilli, Bojan Nikolic +69

Characterizing the epoch of reionization (EoR) at via the redshifted 21 cm line of neutral Hydrogen (HI) is critical to modern astrophysics and cosmology, and thus a k…

astro-ph.IM202022 cited

Measuring HERA's primary beam in-situ: methodology and first results

Chuneeta D. Nunhokee, Aaron R. Parsons, Nicholas S. Kern +64

The central challenge in 21~cm cosmology is isolating the cosmological signal from bright foregrounds. Many separation techniques rely on the accurate knowledge of the sky and the…

astro-ph.CO202029 cited

Foreground modelling via Gaussian process regression: an application to HERA data

Abhik Ghosh, Florent Mertens, Gianni Bernardi +70

The key challenge in the observation of the redshifted 21-cm signal from cosmic reionization is its separation from the much brighter foreground emission. Such separation relies on…

astro-ph.IM201978 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.IM201947 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.IM201956 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…