activity
20042026
most citedLOFAR: The LOw-Frequency ARray

2.7k citations · 8.2k across the 161 of their papers we have counts for

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Showing astro-ph.GAShow all

66 papers · 1 filter

astro-ph.GA2023★ 4 cited

Rare Galaxy Classes Identified In Foundation Model Representations

Mike Walmsley, Anna M. M. Scaife

We identify rare and visually distinctive galaxy populations by searching for structure within the learned representations of pretrained models. We show that these representations…

astro-ph.GA2023

Galaxy Zoo DESI: Detailed Morphology Measurements for 8.7M Galaxies in the DESI Legacy Imaging Surveys

Mike Walmsley, Tobias Géron, Sandor Kruk +13

We present detailed morphology measurements for 8.67 million galaxies in the DESI Legacy Imaging Surveys (DECaLS, MzLS, and BASS, plus DES). These are automated measurements made b…

astro-ph.GA2023★ 11 cited

Radio Galaxy Zoo EMU: Towards a Semantic Radio Galaxy Morphology Taxonomy

Micah Bowles, Hongming Tang, Eleni Vardoulaki +20

We present a novel natural language processing (NLP) approach to deriving plain English descriptors for science cases otherwise restricted by obfuscating technical terminology. We…

astro-ph.GA2022★ 24 cited

JCMT BISTRO Observations: Magnetic Field Morphology of Bubbles Associated with NGC 6334

Mehrnoosh Tahani, Pierre Bastien, Ray S. Furuya +142

We study the HII regions associated with the NGC 6334 molecular cloud observed in the sub-millimeter and taken as part of the B-fields In STar-forming Region Observations (BISTRO)…

astro-ph.GA2022★ 31 cited

The JCMT BISTRO Survey: A Spiral Magnetic Field in a Hub-filament Structure, Monoceros R2

Jihye Hwang, Jongsoo Kim, Kate Pattle +157

We present and analyze observations of polarized dust emission at 850 m towards the central 1 pc 1 pc hub-filament structure of Monoceros R2 (Mon R2). The data are obta…

astro-ph.GA2022★ 2 cited

Learning useful representations for radio astronomy "in the wild" with contrastive learning

Inigo Val Slijepcevic, Anna M. M. Scaife, Mike Walmsley +1

Unknown class distributions in unlabelled astrophysical training data have previously been shown to detrimentally affect model performance due to dataset shift between training and…