Benne W Holwerda
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
Clayton Robertson
Kyle Cook
Professor Kevin Pimbblet K.Pimbblet@hull.ac.uk
Director of DAIM
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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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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