201 citations · 647 across the 31 of their papers we have counts for
7 papers · 1 filter
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…
Transfer learning for galaxy feature detection: Finding Giant Star-forming Clumps in low redshift galaxies using Faster R-CNN
Jürgen Popp, Hugh Dickinson, Stephen Serjeant +8
Giant Star-forming Clumps (GSFCs) are areas of intensive star-formation that are commonly observed in high-redshift (z>1) galaxies but their formation and role in galaxy evolution…
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…
Radio Galaxy Zoo: Towards building the first multi-purpose foundation model for radio astronomy with self-supervised learning
Inigo V. Slijepcevic, Anna M. M. Scaife, Mike Walmsley +4
In this work, we apply self-supervised learning with instance differentiation to learn a robust, multi-purpose representation for image analysis of resolved extragalactic continuum…
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…
Harnessing the Hubble Space Telescope Archives: A Catalogue of 21,926 Interacting Galaxies
David O'Ryan, Bruno Merín, Brooke D. Simmons +13
Mergers play a complex role in galaxy formation and evolution. Continuing to improve our understanding of these systems require ever larger samples, which can be difficult (even im…