The Galaxy Zoo catalogues for Galaxy And Mass Assembly (GAMA) survey

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.

Authors

Institutions

Publication Details

Journal
Publications of the Astronomical Society of Australia
Published
2024-12-26
DOI
https://doi.org/10.1017/pasa.2024.109
Citations
1
Primary Topic
Stellar, planetary, and galactic studies
Type
article
Field-Weighted Citation Impact
0.33

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Galaxy Zoo catalogues for Galaxy And Mass Assembly (GAMA) survey

L. S. Kelvin, Kevin A. Pimbblet, Sarah Casura, David H W Glass et al.
1 citations
Publications of the Astronomical Society of Australia
Stellar, planetary, and galactic studies
0.33
article

The Galaxy Zoo catalogues for Galaxy And Mass Assembly (GAMA) survey

L. S. Kelvin, Kevin A. Pimbblet, Sarah Casura, David H W Glass, Clayton Robertson, S. P. Bamford, Divya Patel, Benne W. Holwerda, J. Liske, Kyle Cook, Mike Walmsley, A. E. Sansom, Karen L. Masters, I. K. Baldry, Maria Babakhanyan Stone, Roberto De Propris, Tim Hardin, S M Rafee Adnan, Trevor Butrum
article en
1 citations

Abstract

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.

Publications of the Astronomical Society of AustraliaVol. 41
University of Nottingham (GB), University of Louisville (US), University of Turku (FI), Haverford College (US), Universität Hamburg (DE), University of Toronto (CA), University of Lancashire (GB), University of Hull (GB), Princeton University (US), Botswana International University of Science and Technology (BW), Canadian Institute for Theoretical Astrophysics (CA), Liverpool John Moores University (GB), University of California, Davis (US)
Science and Technology Facilities Council
Openalex Percentile: Top 32%
Stellar, planetary, and galactic studies
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.