Galaxy Zoo: morphological classifications for 120 000 galaxies in HST legacy imaging

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., Fortson, Lucy F., Griffith, Roger L., Häußler, Boris, Han, Anna, Hart, Ross, Melvin, Thomas, Parrish, Michael, Schawinski, Kevin, Smethurst, Rebecca J. and Smith, Arfon M. (2017) Galaxy Zoo: morphological classifications for 120 000 galaxies in HST legacy imaging. Monthly Notices of the Royal Astronomical Society, 464 (4). pp. 4176-4203. ISSN 0035-8711

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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 programmes conducted with the Advanced Camera for Surveys, with filters that probe the rest-frame optical emission from galaxies out to z ∼ 1. The bulk of the sample is selected to have mI814W < 23.5, but goes as faint as mI814W < 26.8 for deep images combined over five epochs. The median redshift of the combined samples is 〈z〉 = 0.9 ± 0.6, with a tail extending out to z ≃ 4. The GZH morphological data include measurements of both bulge- and disc-dominated galaxies, details on spiral disc 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 data set to date suitable for large-scale studies of galaxy evolution out to z ∼ 1.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/837776
Keywords: methods: data analysis ; catalogues ; galaxies: evolution ; galaxies: highredshift ; galaxies: structure
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Physics and Astronomy
Identification Number: https://doi.org/10.1093/mnras/stw2568
Depositing User: Bamford, Steven
Date Deposited: 06 Jan 2017 15:26
Last Modified: 04 May 2020 18:28
URI: https://eprints.nottingham.ac.uk/id/eprint/39627

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