Dataset Open Access

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; Masters, Karen; Mehta, Vihang; Simmons, Brooke; Smethurst, Rebecca J; Baeten, Elisabeth M L; Macmillan, Christine

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    <dct:title>Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies</dct:title>
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    <dcat:keyword>galaxies</dcat:keyword>
    <dcat:keyword>deep learning</dcat:keyword>
    <dcat:keyword>citizen science</dcat:keyword>
    <dcat:keyword>Galaxy Zoo</dcat:keyword>
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    <dct:description>&lt;p&gt;This repository contains the data released in the paper &amp;quot;Galaxy Zoo DECaLS: Detailed Visual Morphology Measurements from Volunteers and Deep Learning for 314,000 Galaxies&amp;quot; &lt;em&gt;(DOI to follow on publication).&lt;/em&gt;&lt;/p&gt; &lt;p&gt;We release detailed morphology catalogues, both volunteer and automated, for Galaxy Zoo DECaLS.&lt;/p&gt; &lt;p&gt;- gz_decals_volunteers_ab contains volunteer classifications for galaxies classified during the GZD-A and GZD-B campaigns.&lt;/p&gt; &lt;p&gt;- 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 only approx. five volunteer responses.&lt;/p&gt; &lt;p&gt;- gz_decals_auto_posteriors contains the predicted posteriors for volunteer responses to all galaxies used in any campaign, recorded as Dirichlet distribution concentrations.&amp;nbsp;&lt;/p&gt; &lt;p&gt;- gz_decals_auto_fractions reduces those posteriors to the automated equivalent of previous Galaxy Zoo data releases; the expected vote fractions (mean posteriors). Note that not all vote fractions are relevant for every galaxy; we suggest assessing relevance using the estimated fraction of volunteers that would have been asked each question. &lt;em&gt;In the v0.0.1 release, these are included within the gz_decals_auto_posteriors files.&lt;/em&gt;&lt;/p&gt; &lt;p&gt;Each catalogue has a schema of the same name. &lt;em&gt;These are not yet included in the v0.0.1 release.&lt;/em&gt;&lt;/p&gt; &lt;p&gt;We also release the galaxy images shown to volunteers on www.galaxyzoo.org. The images on which the automated classifier was trained may be derived from these volunteer-facing images. These are not yet included in the v0.0.1 release.&lt;/p&gt; &lt;p&gt;We will release updates if needed via Zenodo versioning. We recommend using the latest version of this repository. You can check the version you are currently viewing on the right-hand sidebar.&lt;/p&gt; &lt;p&gt;Please cite the paper (DOI to follow on publication) when using the data in this repository.&lt;/p&gt;</dct:description>
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Publication date:
December 29, 2020
DOI:
10.5281/zenodo.4196267

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Keyword(s):
galaxies deep learning citizen science Galaxy Zoo astrophysics
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