activity
20052026
most citedRotation-invariant convolutional neural networks for galaxy morphology prediction

787 citations · 3.9k across the 29 of their papers we have counts for

collaborators

30 papers

astro-ph.GA2026

Galaxy Zoo Bar Lengths: A Catalogue of Measurements from Hubble Space Telescope Images and the Evolution of Galactic Bar Structure at z < 1

Tenley Hutchinson-Smith, Brooke D. Simmons, Karen L. Masters +12

Understanding the role of galactic scale bars in disk galaxy evolution requires detailed measurements of bar properties across galaxies hosting bars at many redshifts. We present m…

astro-ph.IM2025

Galaxy Zoo Evo: 1 million human-annotated images of galaxies

Mike Walmsley, Steven Bamford, Hugh Dickinson +17

We introduce Galaxy Zoo Evo, a labeled dataset for building and evaluating foundation models on images of galaxies. GZ Evo includes 104M crowdsourced labels for 823k images from fo…

astro-ph.GA2024★ 1 cited

Galaxy Zoo: Morphologies based on UKIDSS NIR Imaging for 71,052 Galaxies

Karen L. Masters, Melanie Galloway, Lucy Fortson +6

We present morphological classifications based on Galaxy Zoo analysis of 71,052 galaxies with imaging from the United Kingdom Infrared Telescope Infrared Deep Sky Survey (UKIDSS).…

astro-ph.GA2021★ 201 cited

Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies

Mike Walmsley, Chris Lintott, Tobias Geron +15

We present Galaxy Zoo DECaLS: detailed visual morphological classifications for Dark Energy Camera Legacy Survey images of galaxies within the SDSS DR8 footprint. Deeper DECaLS ima…

astro-ph.IM2018★ 65 cited

Integrating human and machine intelligence in galaxy morphology classification tasks

Melanie R. Beck, Claudia Scarlata, Lucy F. Fortson +8

Quantifying galaxy morphology is a challenging yet scientifically rewarding task. As the scale of data continues to increase with upcoming surveys, traditional classification metho…

astro-ph.GA2018★ 24 cited

Galaxy Zoo: Morphological classification of galaxy images from the Illustris simulation

Hugh Dickinson, Lucy Fortson, Chris Lintott +13

Modern cosmological simulations model the universe with increasing sophistication and at higher spatial and temporal resolutions. These enhancements permit detailed comparisons bet…