activity
20182026
most citedRadio Galaxy Zoo: ClaRAN - A Deep Learning Classifier for Radio Morphologies

102 citations · 288 across the 10 of their papers we have counts for

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Showing astro-ph.GAShow all

5 papers · 1 filter

astro-ph.GA2026

Detecting HI Self-Absorption using Neural Networks

Eric G. M. Muller, Naomi M. McClure-Griffiths, Hiep Nguyen +5

Cold atomic hydrogen plays a crucial role in the life cycle of interstellar gas. It serves as the intermediary phase in the condensation and cooling processes that bridge the warm…

astro-ph.GA2024

Radio Galaxy Zoo Data Release 1: 100,185 radio source classifications from the FIRST and ATLAS surveys

O. Ivy Wong, A. F. Garon, M. J. Alger +15

Radio galaxies can extend far beyond the stellar component of their originating host galaxies, and their radio emission can consist of multiple discrete components. Furthermore, th…

astro-ph.GA2024

TPCNet: Representation learning for HI mapping

Hiep Nguyen, Haiyang Tang, Matthew Alger +4

We introduce TPCNet, a neural network predictor that combines Convolutional and Transformer architectures with Positional encodings, for neutral atomic hydrogen (HI) spectral analy…

astro-ph.GA2023

Radio Galaxy Zoo: tagging radio subjects using text

Dawei Chen, Vinay Kerai, Matthew J. Alger +2

RadioTalk is a communication platform that enabled members of the Radio Galaxy Zoo (RGZ) citizen science project to engage in discussion threads and provide further descriptions of…

astro-ph.GA2021★ 23 cited

Heightened Faraday Complexity in the inner 1 kpc of the Galactic Centre

J. D. Livingston, N. M. McClure-Griffiths, B. M. Gaensler +2

We have measured the Faraday rotation of 62 extra-galactic background sources in 58 fields using the CSIRO Australia Telescope Compact Array (ATCA) with a frequency range of 1.1 -…