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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

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Showing 2016Show all

5 papers · 1 filter

astro-ph.GA2016★ 91 cited

Galaxy Zoo: Morphological Classifications for 120,000 Galaxies in HST Legacy Imaging

Kyle W. Willett, Melanie A. Galloway, Steven P. Bamford +18

We present the data release paper for the Galaxy Zoo: Hubble (GZH) project. This is the third phase in a large effort to measure reliable, detailed morphologies of galaxies by usin…

astro-ph.GA2016★ 111 cited

Galaxy Zoo: Quantitative Visual Morphological Classifications for 48,000 galaxies from CANDELS

B. D. Simmons, Chris Lintott, Kyle W. Willett +45

We present quantified visual morphologies of approximately 48,000 galaxies observed in three Hubble Space Telescope legacy fields by the Cosmic And Near-infrared Deep Extragalactic…

astro-ph.GA2016★ 37 cited

Galaxy Zoo: Evidence for rapid, recent quenching within a population of AGN host galaxies

R. J. Smethurst, C. J. Lintott, B. D. Simmons +8

We present a population study of the star formation history of 1244 Type 2 AGN host galaxies, compared to 6107 inactive galaxies. A Bayesian method is used to determine individual…

astro-ph.GA2016★ 131 cited

Galaxy Zoo: comparing the demographics of spiral arm number and a new method for correcting redshift bias

Ross E. Hart, Steven P. Bamford, Kyle W. Willett +8

The majority of galaxies in the local Universe exhibit spiral structure with a variety of forms. Many galaxies possess two prominent spiral arms, some have more, while others displ…

astro-ph.GA2016

Radio Galaxy Zoo: host galaxies and radio morphologies for large surveys from visual inspection

Kyle W. Willett

We present early results from Radio Galaxy Zoo, a web-based citizen science project for visual inspection and classification of images from all-sky radio surveys. The goals of the…