Benne Willem Holwerda
The Galaxy Zoo catalogues for Galaxy And Mass Assembly (GAMA) survey
Willem Holwerda, Benne; Robertson, Clayton; Cook, Kyle; Pimbblet, Kevin; Casura, Sarah; Sansom, Anne E.; Patel, Divya; Alexander Butrum, Trevor; Glass, David Henry William; Kelvin, Lee S.; Baldry, Ivan K.; De Propris, Roberto; Bamford, Steven; Masters, Karen; Babakhanyan Stone, Maria; Hardin, Tim; Walmsley, Mike; Liske, Jochen; Rafee Adnan, S.M.
Authors
Clayton Robertson
Kyle Cook
Kevin Pimbblet
Sarah Casura
Anne E. Sansom
Divya Patel
Trevor Alexander Butrum
David Henry William Glass
Lee S. Kelvin
Ivan K. Baldry
Roberto De Propris
Dr STEVEN BAMFORD STEVEN.BAMFORD@NOTTINGHAM.AC.UK
ASSOCIATE PROFESSOR
Karen Masters
Maria Babakhanyan Stone
Tim Hardin
Mike Walmsley
Jochen Liske
S.M. Rafee Adnan
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, that is, substantial differences for individual galaxies. There is a notable higher voting fraction in favour 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 disc 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
Willem Holwerda, B., Robertson, C., Cook, K., Pimbblet, K., Casura, S., Sansom, A. E., Patel, D., Alexander Butrum, T., Glass, D. H. W., Kelvin, L. S., Baldry, I. K., De Propris, R., Bamford, S., Masters, K., Babakhanyan Stone, M., Hardin, T., Walmsley, M., Liske, J., & Rafee Adnan, S. (2024). The Galaxy Zoo catalogues 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 26, 2024 |
Online Publication Date | Dec 26, 2024 |
Publication Date | 2024-12 |
Deposit Date | Feb 19, 2025 |
Publicly Available Date | Feb 20, 2025 |
Journal | Publications of the Astronomical Society of Australia |
Print ISSN | 1323-3580 |
Electronic 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 |
Keywords | Galaxies: structure, galaxies: statistics, galaxies: spiral, galaxies: elliptical and lenticular cD galaxies: bulges |
Public URL | https://nottingham-repository.worktribe.com/output/45436865 |
Publisher URL | https://www.cambridge.org/core/journals/publications-of-the-astronomical-society-of-australia/article/galaxy-zoo-catalogues-for-galaxy-and-mass-assembly-gama-survey/7D34EFD1A90B8979CE6DB74CABD11BDF |
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Copyright Statement
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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