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

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 rele...

Full description

Bibliographic Details
Main Authors: 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., Smith, Arfon M.
Format: Article
Published: Oxford University Press 2017
Subjects:
Online Access:https://eprints.nottingham.ac.uk/39627/
_version_ 1848795878646611968
author 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.
Smith, Arfon M.
author_facet 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.
Smith, Arfon M.
author_sort Willett, Kyle W.
building Nottingham Research Data Repository
collection Online Access
description 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.
first_indexed 2025-11-14T19:39:05Z
format Article
id nottingham-39627
institution University of Nottingham Malaysia Campus
institution_category Local University
last_indexed 2025-11-14T19:39:05Z
publishDate 2017
publisher Oxford University Press
recordtype eprints
repository_type Digital Repository
spelling nottingham-396272020-05-04T18:28:37Z https://eprints.nottingham.ac.uk/39627/ 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. Smith, Arfon M. 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. Oxford University Press 2017-02-01 Article PeerReviewed 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 methods: data analysis ; catalogues ; galaxies: evolution ; galaxies: highredshift ; galaxies: structure http://mnras.oxfordjournals.org/content/464/4/4176 doi:10.1093/mnras/stw2568 doi:10.1093/mnras/stw2568
spellingShingle methods: data analysis ; catalogues ; galaxies: evolution ; galaxies: highredshift ; galaxies: structure
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.
Smith, Arfon M.
Galaxy Zoo: morphological classifications for 120 000 galaxies in HST legacy imaging
title Galaxy Zoo: morphological classifications for 120 000 galaxies in HST legacy imaging
title_full Galaxy Zoo: morphological classifications for 120 000 galaxies in HST legacy imaging
title_fullStr Galaxy Zoo: morphological classifications for 120 000 galaxies in HST legacy imaging
title_full_unstemmed Galaxy Zoo: morphological classifications for 120 000 galaxies in HST legacy imaging
title_short Galaxy Zoo: morphological classifications for 120 000 galaxies in HST legacy imaging
title_sort galaxy zoo: morphological classifications for 120 000 galaxies in hst legacy imaging
topic methods: data analysis ; catalogues ; galaxies: evolution ; galaxies: highredshift ; galaxies: structure
url https://eprints.nottingham.ac.uk/39627/
https://eprints.nottingham.ac.uk/39627/
https://eprints.nottingham.ac.uk/39627/