4.7 Article

Galaxy Zoo 1: data release of morphological classifications for nearly 900 000 galaxies

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 410, Issue 1, Pages 166-178

Publisher

WILEY-BLACKWELL
DOI: 10.1111/j.1365-2966.2010.17432.x

Keywords

methods: data analysis; galaxies: elliptical and lenticular; cD; galaxies: general; galaxies: spiral

Funding

  1. US Department of Energy [DE-AC02-98CH10886]
  2. Microsoft
  3. Leverhulme Trust
  4. STFC
  5. NASA [PF9-00069, NAS8-03060]
  6. Peter and Patricia Gruber Foundation
  7. University of Portsmouth
  8. SEPnet
  9. Alfred P. Sloan Foundation
  10. National Science Foundation
  11. Japanese Monbukagakusho
  12. Max Planck Society
  13. Higher Education Funding Council for England
  14. American Museum of Natural History
  15. Astrophysical Institute Potsdam
  16. University of Basel
  17. University of Cambridge
  18. Case Western Reserve University
  19. University of Chicago
  20. Drexel University
  21. Fermilab
  22. Institute for Advanced Study
  23. Japan Participation Group
  24. Johns Hopkins University
  25. Joint Institute for Nuclear Astrophysics
  26. Kavli Institute for Particle Astrophysics and Cosmology
  27. Korean Scientist Group
  28. Chinese Academy of Sciences (LAMOST)
  29. Los Alamos National Laboratory
  30. Max-Planck-Institute for Astronomy (MPIA)
  31. Max-Planck-Institute for Astrophysics (MPA)
  32. New Mexico State University
  33. Ohio State University
  34. University of Pittsburgh
  35. Princeton University
  36. United States Naval Observatory
  37. University of Washington
  38. Google
  39. STFC [ST/F002335/1, ST/H007156/1] Funding Source: UKRI
  40. Science and Technology Facilities Council [ST/H007156/1, ST/F002335/1] Funding Source: researchfish

Ask authors/readers for more resources

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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