期刊
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
卷 410, 期 1, 页码 166-178出版社
WILEY-BLACKWELL
DOI: 10.1111/j.1365-2966.2010.17432.x
关键词
methods: data analysis; galaxies: elliptical and lenticular; cD; galaxies: general; galaxies: spiral
资金
- US Department of Energy [DE-AC02-98CH10886]
- Microsoft
- Leverhulme Trust
- STFC
- NASA [PF9-00069, NAS8-03060]
- Peter and Patricia Gruber Foundation
- University of Portsmouth
- SEPnet
- Alfred P. Sloan Foundation
- National Science Foundation
- Japanese Monbukagakusho
- Max Planck Society
- Higher Education Funding Council for England
- American Museum of Natural History
- Astrophysical Institute Potsdam
- University of Basel
- University of Cambridge
- Case Western Reserve University
- University of Chicago
- Drexel University
- Fermilab
- Institute for Advanced Study
- Japan Participation Group
- Johns Hopkins University
- Joint Institute for Nuclear Astrophysics
- Kavli Institute for Particle Astrophysics and Cosmology
- Korean Scientist Group
- Chinese Academy of Sciences (LAMOST)
- Los Alamos National Laboratory
- Max-Planck-Institute for Astronomy (MPIA)
- Max-Planck-Institute for Astrophysics (MPA)
- New Mexico State University
- Ohio State University
- University of Pittsburgh
- Princeton University
- United States Naval Observatory
- University of Washington
- STFC [ST/F002335/1, ST/H007156/1] Funding Source: UKRI
- Science and Technology Facilities Council [ST/H007156/1, ST/F002335/1] Funding Source: researchfish
Morphology is a powerful indicator of a galaxy's dynamical and merger history. It is strongly correlated with many physical parameters, including mass, star formation history and the distribution of mass. The Galaxy Zoo project collected simple morphological classifications of nearly 900 000 galaxies drawn from the Sloan Digital Sky Survey, contributed by hundreds of thousands of volunteers. This large number of classifications allows us to exclude classifier error, and measure the influence of subtle biases inherent in morphological classification. This paper presents the data collected by the project, alongside measures of classification accuracy and bias. The data are now publicly available and full catalogues can be downloaded in electronic format from http://data.galaxyzoo.org.
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