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The Galaxy Zoo Catalogs for Galaxy And Mass Assembly (GAMA) Survey

Holwerda, Benne W; Robertson, Clayton; Cook, Kyle; Pimbblet, Kevin A; Casura, Sarah; Sansom, Anne E; Patel, Divya; Butrum, Trevor; Glass, David H W; Kelvin, Lee; Baldry, Ivan K; De Propris, Roberto; Bamford, Steven; Masters, Karen; Stone, Maria; Hardin, Tim; Walmsley, Mike; Liske, Jochen; Rafee, S M

Authors

Benne W Holwerda

Clayton Robertson

Kyle Cook

Sarah Casura

Anne E Sansom

Divya Patel

Trevor Butrum

David H W Glass

Lee Kelvin

Ivan K Baldry

Roberto De Propris

Steven Bamford

Karen Masters

Maria Stone

Tim Hardin

Mike Walmsley

Jochen Liske

S M Rafee



Abstract

Galaxy Zoo is an online project to classify morphological features in extra-galactic imaging surveys with public voting. In this paper, we compare the classifications made for two different surveys, the Dark Energy Spectroscopic Instrument (DESI) imaging survey and a part of the Kilo-Degree Survey (KiDS), in the equatorial fields of the Galaxy And Mass Assembly (GAMA) survey. Our aim is to cross-validate and compare the classifications based on different imaging quality and depth. We find that generally the voting agrees globally but with substantial scatter i.e. substantial differences for individual galaxies. There is a notable higher voting fraction in favor of "smooth" galaxies in the DESI+ZOOBOT classifications, most likely due to the difference between imaging depth. DESI imaging is shallower and slightly lower resolution than KiDS and the Galaxy Zoo images do not reveal details such as disk features and thus are missed in the ZOOBOT training sample. We check against expert visual classifications and find good agreement with KiDS-based Galaxy Zoo voting. We reproduce the results from Porter-Temple+ (2022), on the dependence of stellar mass, star-formation, and specific star-formation on the number of spiral arms. This shows that once corrected for redshift, the DESI Galaxy Zoo and KiDS Galaxy Zoo classifications agree well on population properties. The zoobot cross-validation increases confidence in its ability to compliment Galaxy Zoo classifications and its ability for transfer learning across surveys.

Citation

Holwerda, B. W., Robertson, C., Cook, K., Pimbblet, K. A., Casura, S., Sansom, A. E., Patel, D., Butrum, T., Glass, D. H. W., Kelvin, L., Baldry, I. K., De Propris, R., Bamford, S., Masters, K., Stone, M., Hardin, T., Walmsley, M., Liske, J., & Rafee, S. M. (2024). The Galaxy Zoo Catalogs for Galaxy And Mass Assembly (GAMA) Survey. Publications of the Astronomical Society of Australia, 41, Article e115. https://doi.org/10.1017/pasa.2024.109

Journal Article Type Article
Acceptance Date Oct 25, 2024
Online Publication Date Dec 26, 2024
Publication Date 2024
Deposit Date Nov 1, 2024
Publicly Available Date Jan 3, 2025
Journal Publications of the Astronomical Society of Australia
Print ISSN 1448-6083
Publisher Cambridge University Press
Peer Reviewed Peer Reviewed
Volume 41
Article Number e115
DOI https://doi.org/10.1017/pasa.2024.109
Public URL https://hull-repository.worktribe.com/output/4907981

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0

Copyright Statement
© The Author(s), 2025. Published by Cambridge University Press on behalf of Astronomical Society of Australia. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.





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