Galaxy Zoo DESI: Detailed morphology measurements for 8.7M galaxies in the DESI Legacy Imaging Surveys
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 per cent 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 (5000-19 000 deg2) and allows for full overlap with complementary surveys including ALFALFA and MaNGA.
- Publication:
-
Monthly Notices of the Royal Astronomical Society
- Pub Date:
- December 2023
- DOI:
- 10.1093/mnras/stad2919
- arXiv:
- arXiv:2309.11425
- Bibcode:
- 2023MNRAS.526.4768W
- Keywords:
-
- methods: statistical;
- catalogues;
- software: data analysis;
- galaxies: bar;
- galaxies: general;
- galaxies: interaction;
- Astrophysics - Astrophysics of Galaxies;
- Astrophysics - Instrumentation and Methods for Astrophysics
- E-Print:
- 20 pages. Accepted at MNRAS. Catalog available via https://zenodo.org/record/7786416. Pretrained models available via https://github.com/mwalmsley/zoobot. Vizier and Astro Data Lab access not yet available. With thanks to the Galaxy Zoo volunteers