Galaxy Zoo: Morphological Classifications for 120,000 Galaxies in HST Legacy Imaging
Kyle W. Willett, Melanie A. Galloway, Steven P. Bamford, Chris J., Lintott, Karen L. Masters, Claudia Scarlata, B.D. Simmons, Melanie Beck,, Carolin N. Cardamone, Edmond Cheung, Edward M. Edmondson, Lucy F. Fortson,, Roger L. Griffith, Boris Haeussler, Anna Han, Ross Hart

TL;DR
This paper presents a large dataset of galaxy morphologies from Hubble images, using crowdsourced classifications, including a new calibration method for different luminosities and redshifts, enabling extensive studies of galaxy evolution.
Contribution
It introduces a comprehensive morphological catalog for nearly 120,000 galaxies with a novel calibration technique using artificially-redshifted images.
Findings
Largest dataset of galaxy morphologies to date for z~1
Includes detailed classifications like bulge/disk, spiral structure, and bars
Provides raw and calibrated vote fractions for large-scale galaxy evolution studies
Abstract
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 using crowdsourced visual classifications of colour composite images. Images in GZH were selected from various publicly-released Hubble Space Telescope Legacy programs conducted with the Advanced Camera for Surveys, with filters that probe the rest-frame optical emission from galaxies out to . The bulk of the sample is selected to have ,but goes as faint as for deep images combined over 5 epochs. The median redshift of the combined samples is , with a tail extending out to . The GZH morphological data include measurements of both bulge- and disk-dominated galaxies, details on spiral disk structure that relate to the Hubble type, bar…
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