research data . Dataset . 2020

Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies

Walmsley, Mike; Lintott, Chris; Tobias, Geron; Kruk, Sandor J; Krawczyk, Coleman; Willett, Kyle; Bamford, Steven; Keel, William; Kelvin, Lee S; Fortson, Lucy; ...
Open Access English
  • Published: 01 Jan 2020
  • Publisher: Zenodo
Abstract
<p>This repository contains the data released in the paper &quot;Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies&quot; <em>(DOI to follow on publication).</em></p> <p>We release detailed morphology catalogues, both volunteer and automated, for Galaxy Zoo DECaLS.</p> <p>- gz_decals_volunteers_ab contains volunteer classifications for galaxies classified during the GZD-A and GZD-B campaigns.</p> <p>- gz_decals_volunteers_c similarly contains classifications from the GZD-C campaign. Note that GZD-C used a modified schema designed to better detect mergers and weak bars, and includes many galaxies with...
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Subjects
free text keywords: galaxies, deep learning, citizen science, Galaxy Zoo, astrophysics
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Dataset . 2020
Provider: Zenodo
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