A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
The Galaxy Zoo catalogues for Galaxy And Mass Assembly (GAMA) survey
Tekijät: Holwerda, Benne Willem; Robertson, Clayton; Cook, Kyle; Pimbblet, Kevin; Casura, Sarah; Sansom, Anne E.; Patel, Divya; Butrum, Trevor Alexander; Glass, David Henry William; Kelvin, Lee S.; Baldry, Ivan K.; De Propris, Roberto; Bamford, Steven; Masters, Karen; Stone, Maria Babakhanyan; Hardin, Tim; Walmsley, Mike; Liske, Jochen; Adnan, S. M. Rafee
Kustantaja: CAMBRIDGE UNIV PRESS
Kustannuspaikka: CAMBRIDGE
Julkaisuvuosi: 2024
Journal: Publications of the Astronomical Society of Australia
Tietokannassa oleva lehden nimi: PUBLICATIONS OF THE ASTRONOMICAL SOCIETY OF AUSTRALIA
Lehden akronyymi: PUBL ASTRON SOC AUST
Artikkelin numero: e115
Vuosikerta: 41
Sivujen määrä: 17
ISSN: 1323-3580
eISSN: 1448-6083
DOI: https://doi.org/10.1017/pasa.2024.109
Verkko-osoite: https://doi.org/10.1017/pasa.2024.109
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/477945244
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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
