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Galaxy Zoo DESI: Detailed Morphology Measurements for 8.7M Galaxies in the DESI Legacy Imaging Surveys

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arxiv 2309.11425 v1 pith:S3OTJV2L submitted 2023-09-20 astro-ph.GA astro-ph.IM

Mike Walmsley , Tobias Géron , Sandor Kruk , Anna M. M. Scaife , Chris Lintott , Karen L. Masters , James M. Dawson , Hugh Dickinson
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Lucy Fortson Izzy L. Garland Kameswara Mantha David O'Ryan Jürgen Popp Brooke Simmons Elisabeth M. Baeten Christine Macmillan
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classification astro-ph.GAastro-ph.IM
keywords measurementsvotesdecalsdesimodelsmorphologysurveysanswer
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abstract

We present detailed morphology measurements for 8.67 million galaxies in the DESI Legacy Imaging Surveys (DECaLS, MzLS, and BASS, plus DES). These are automated measurements made by deep learning models trained on Galaxy Zoo volunteer votes. Our models typically predict the fraction of volunteers selecting each answer to within 5-10\% for every answer to every GZ question. The models are trained on newly-collected votes for DESI-LS DR8 images as well as historical votes from GZ DECaLS. We also release the newly-collected votes. Extending our morphology measurements outside of the previously-released DECaLS/SDSS intersection increases our sky coverage by a factor of 4 (5,000 to 19,000 deg$^2$) and allows for full overlap with complementary surveys including ALFALFA and MaNGA.

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Forward citations

Cited by 3 Pith papers

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    astro-ph.GA 2024-12 conditional novelty 5.0 of 10

    Unsupervised domain adaptation transfers a Galaxy Zoo DECaLS-trained morphology model to BASS/MzLS images, yielding improved classifications and a 248,088-galaxy catalogue.

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