activity
20152019
most citedOptimizing Sparse RFI Prediction using Deep Learning

56 citations · 108 across the 7 of their papers we have counts for

collaborators

7 papers

astro-ph.CO20196 cited

Astro2020 Science White Paper: Insights Into the Epoch of Reionization with the Highly-Redshifted 21-cm Line

Steven Furlanetto, Chris L. Carilli, Jordan Mirocha +47

The epoch of reionization, when photons from early galaxies ionized the intergalactic medium about a billion years after the Big Bang, is the last major phase transition in the Uni…

astro-ph.CO20193 cited

Cosmology with the Highly Redshifted 21cm Line

Adrian Liu, James Aguirre, Yacine Ali-Haimoud +47

In addition to being a probe of Cosmic Dawn and Epoch of Reionization astrophysics, the 21cm line at is also a powerful way to constrain cosmology. Its power derives from sev…

astro-ph.CO20194 cited

Astro2020 Science White Paper: First Stars and Black Holes at Cosmic Dawn with Redshifted 21-cm Observations

Jordan Mirocha, Daniel Jacobs, Josh Dillon +39

The "cosmic dawn" refers to the period of the Universe's history when stars and black holes first formed and began heating and ionizing hydrogen in the intergalactic medium (IGM).…

astro-ph.CO201921 cited

Astro 2020 Science White Paper: Fundamental Cosmology in the Dark Ages with 21-cm Line Fluctuations

Steven Furlanetto, Judd D. Bowman, Jordan Mirocha +43

The Dark Ages are the period between the last scattering of the cosmic microwave background and the appearance of the first luminous sources, spanning approximately 1100 < z < 30.…

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…

astro-ph.IM20165 cited

The Astropy Problem

Demitri Muna, Michael Alexander, Alice Allen +151

The Astropy Project (http://astropy.org) is, in its own words, "a community effort to develop a single core package for Astronomy in Python and foster interoperability between Pyth…