Abstract
We apply a consensus-based classifier weighting method that preserves classifier independence while effectively down-weighting significantly outlying classifications. After analysing the effect of varying image depth on reported classifications, we also provide depth-corrected classifications which both preserve the information in the deepest observations
and also enable the use of classifications at comparable depths across the
full survey. Comparing the Galaxy Zoo classifications to previous classifications of the same galaxies shows very good agreement; for some applications the high number of independent classifications provided by Galaxy Zoo provides an advantage in selecting galaxies with a particular morphological profile, while in others the combination of Galaxy Zoo with other classifications is a more promising approach than using any one method alone. We combine the Galaxy Zoo classifications of “smooth” galaxies with parametric morphologies to select a sample of featureless disks at 1 6 z 6 3, which may represent a dynamically warmer progenitor population to the settled disk galaxies seen at later epochs.
Original language | English |
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Pages (from-to) | 4420-4447 |
Number of pages | 28 |
Journal | Monthly Notices of the Royal Astronomical Society (MNRAS) |
Volume | 464 |
Issue number | 4 |
Early online date | 18 Oct 2016 |
DOIs | |
Publication status | Published - 1 Feb 2017 |
Keywords
- astro-ph.GA