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

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 $z \sim 1$. 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 $z \sim 1$.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/mnras/stw2568

Authors


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Institution:
University of Oxford
Oxford college:
Mansfield College
Role:
Author


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Funding agency for:
Smethurst, R
Grant:
ST/K502236/1
More from this funder
Funding agency for:
Simmons, B
Grant:
Einstein Postdoctoral Fellowship Award PF5-160143


Publisher:
Oxford University Press
Journal:
Monthly Notices of the Royal Astronomical Society More from this journal
Volume:
464
Issue:
4
Pages:
4176-4203
Publication date:
2016-01-01
Acceptance date:
2016-10-05
DOI:
EISSN:
1365-2966
ISSN:
0035-8711


Keywords:
Pubs id:
pubs:653485
UUID:
uuid:f07b0e85-ae44-440f-ae15-22ba230ddc0d
Local pid:
pubs:653485
Source identifiers:
653485
Deposit date:
2016-12-19

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