2 code implementations • 23 Apr 2020 • Aaron Ewall-Wice, Nicholas Kern, Joshua S. Dillon, Adrian Liu, Aaron Parsons, Saurabh Singh, Adam Lanman, Paul La Plante, Nicolas Fagnoni, Eloy de Lera Acedo, David R. DeBoer, Chuneeta Nunhokee, Philip Bull, Tzu-Ching Chang, T. Joseph Lazio, James Aguirre, Sean Weinberg
We introduce DAYENU, a linear, spectral filter for HI intensity mapping that achieves the desirable foreground mitigation and error minimization properties of inverse co-variance weighting with minimal modeling of the underlying data.
Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
no code implementations • 26 Feb 2019 • Michelle Ntampaka, Camille Avestruz, Steven Boada, Joao Caldeira, Jessi Cisewski-Kehe, Rosanne Di Stefano, Cora Dvorkin, August E. Evrard, Arya Farahi, Doug Finkbeiner, Shy Genel, Alyssa Goodman, Andy Goulding, Shirley Ho, Arthur Kosowsky, Paul La Plante, Francois Lanusse, Michelle Lochner, Rachel Mandelbaum, Daisuke Nagai, Jeffrey A. Newman, Brian Nord, J. E. G. Peek, Austin Peel, Barnabas Poczos, Markus Michael Rau, Aneta Siemiginowska, Dougal J. Sutherland, Hy Trac, Benjamin Wandelt
In recent years, machine learning (ML) methods have remarkably improved how cosmologists can interpret data.
Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics
no code implementations • 9 Jul 2018 • Sultan Hassan, Adrian Liu, Saul Kohn, Paul La Plante
We create a Convolutional Neural Network (CNN) that is efficiently able to distinguish between 21cm maps that are produced by AGN versus galaxies scenarios with an accuracy of 92-100%, depending on redshift and neutral fraction range.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
no code implementations • 19 Jan 2018 • Sultan Hassan, Adrian Liu, Saul Kohn, James E. Aguirre, Paul La Plante, Adam Lidz
Next-generation 21cm observations will enable imaging of reionization on very large scales.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies
