{"paper":{"title":"Optimizing Sparse RFI Prediction using Deep Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["astro-ph.CO"],"primary_cat":"astro-ph.IM","authors_text":"Aaron Ewall-Wice, Aaron R. Parsons, Abraham R. Neben, Adam Lanman, Adam P. Beardsley, Adrian Liu, Andrei Mesinger, Angelo Syce, Austin Julius, Bradley Greig, Brian Glendenning, Bryna J. Hazelton, Carina Cheng, Chris L. Carilli, Craig Smith, Cresshim Malgas, Daniel C. Jacobs, David MacMahon, David R. DeBoer, Deepthi Gorthi, Eloy de Lera Acedo, Eunice Matsetela, Gianni Bernardi, Haoxuan Zheng, Jack Hickish, Jacob Burba, James Aguirre, James Robnett, Jasper Grobbelaar, Jonathan C. Pober, Jon Ringuette, Joshua Kerrigan, Joshua S. Dillon, Judd D. Bowman, Julia Estrada, Kathryn Rosie, Lourence Malan, Mathakane Molewa, Matt Dexter, Matthew Kolopanis, Matthys Maree, Miguel F. Morales, Nicholas Kern, Nicolas Fagnoni, Nima Razavi-Ghods, Nipanjana Patra, Nithyanandan Thyagarajan, Paul Alexander, Paul La Plante, Peter K.G. Williams, Peter Sims, Piyanat Kittiwisit, Randall Fritz, Richard F. Bradley, Samantha Pieterse, Saul Kohn, Steve R. Furlanetto, Telalo Lekalake, Tshegofalang Mosiane, Yanga Balfour, Zachary E. Martinot, Zaki S. Ali, Zara Abdurashidova, Ziyaad Halday","submitted_at":"2019-02-21T20:16:53Z","abstract_excerpt":"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 of sensitivity and reduce contamination for Epoch of Reionization studies, the identification and removal of RFI is especially important. In addition to improved RFI identification, we must also take into account computational efficiency of the RFI-Identification algorithm as radio interferometer arrays such as the Hydrogen Epoch of Reionization Array grow larger in number of receivers. To address this, we present a "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.08244","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"}