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Willett, Kyle W; Galloway, Melanie A; Bamford, Steven P; Lintott, Chris J; Masters, Karen L; Scarlata, Claudia; Simmons, B D; Beck, Melanie; Cardamone, Carolin N; Cheung, Edmond; Edmondson, Edward M; tson, Lucy F; Griffith, Roger L; Haeussler, Boris; Han, Anna; Hart, Ross; Thomas, Melvin; Parrish, Michael; Schawinski, Kevin; Smethurst, R J; Smith, Arfon M
arXiv.org, 10/2016Paper, Journal Article
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 \(z \sim 1\). The bulk of the sample is selected to have \(m_{I814W} < 23.5\),but goes as faint as \(m_{I814W} < 26.8\) for deep images combined over 5 epochs. The median redshift of the combined samples is \(z = 0.9 \pm 0.6\), with a tail extending out to \(z \sim 4\). 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 identification, and numerous measurements of clump identification and geometry. This paper also describes a new method for calibrating morphologies for galaxies of different luminosities and at different redshifts by using artificially-redshifted galaxy images as a baseline. The GZH catalogue contains both raw and calibrated morphological vote fractions for 119,849 galaxies, providing the largest dataset to date suitable for large-scale studies of galaxy evolution out to \(z \sim 1\).
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