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20172023
most citedDeepSource: Point Source Detection using Deep Learning

53 citations · 277 across the 18 of their papers we have counts for

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Showing astro-ph.IMShow all

6 papers · 1 filter

astro-ph.IM2023★ 22 cited

SKA Science Data Challenge 2: analysis and results

P. Hartley, A. Bonaldi, R. Braun +105

The Square Kilometre Array Observatory (SKAO) will explore the radio sky to new depths in order to conduct transformational science. SKAO data products made available to astronomer…

astro-ph.IM2021★ 3 cited

The Hydrogen Intensity and Real-time Analysis eXperiment: 256-Element Array Status and Overview

Devin Crichton, Moumita Aich, Adam Amara +97

The Hydrogen Intensity and Real-time Analysis eXperiment (HIRAX) is a radio interferometer array currently in development, with an initial 256-element array to be deployed at the S…

astro-ph.IM2021★ 5 cited

Design and implementation of a noise temperature measurement system for the Hydrogen Intensity and Real-time Analysis eXperiment (HIRAX)

Emily R. Kuhn, Benjamin R. B. Saliwanchik, Maile Harris +24

This paper describes the design, implementation, and verification of a test-bed for determining the noise temperature of radio antennas operating between 400-800MHz. The requiremen…

astro-ph.IM2020★ 53 cited

Square Kilometre Array Science Data Challenge 1: analysis and results

A. Bonaldi, T. An, M. Bruggen +42

As the largest radio telescope in the world, the Square Kilometre Array (SKA) will lead the next generation of radio astronomy. The feats of engineering required to construct the t…

astro-ph.IM2020★ 41 cited

Deep Learning improves identification of Radio Frequency Interference

Alireza Vafaei Sadr, Bruce A. Bassett, Nadeem Oozeer +2

Flagging of Radio Frequency Interference (RFI) is an increasingly important challenge in radio astronomy. We present R-Net, a deep convolutional ResNet architecture that significan…

astro-ph.IM2018★ 53 cited

DeepSource: Point Source Detection using Deep Learning

A. Vafaei Sadr, Etienne. E. Vos, Bruce A. Bassett +3

Point source detection at low signal-to-noise is challenging for astronomical surveys, particularly in radio interferometry images where the noise is correlated. Machine learning i…