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For refcode 1995MNRAS.274.1107N:
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NED Abstract

Copyright by Royal Astronomical Society. 1995MNRAS.274.1107N A comparative study of morphological classifications of APM galaxies A. Naim, O. Lahav, R. J. Buta, H. G. Corwin, Jr, G. de Vaucouleurs, A. Pressler, J. P. Huchra, S. van den Bergh, S. Raychaudhury, L. Sodre, Jr, and M. C. Storrie-Lombardi Institute of Astronomy, Madingley Road, Cambridge CB3 0HA Department of Physics and Astronomy, University of Alabama, Tuscaloosa, AL 35487-0324, USA Calfornia Institute of Technology, IPAC M/S 100, Pasadena, CA 91125, USA Department of Astronomy, RLM 15. 308, University of Texas, Austin, TX 78712-1083, USA Carnegie Observatories, 813 Santa Barbara Street, Pasadena, CA 91101- 1292, USA Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, MA 02138, USA Dominion Astrophysical Observatory, 5071 W. Saanich Road, Victoria, BC, V8X4M6, Canada Instituto Astronomico e Geofisico da Universidade de Sao Paulo, CP9638, 01065-970, Sao Paulo, Brazil Accepted 1995 January 12. Received 1994 December 29; in original form 1994 September 2. ABSTRACT We investigate the Consistency of visual morphological classifications of galaxies by comparing classifications for 831 galaxies from six independent observers. The galaxies were classified on laser print copy images or on computer screen using scans made with the Automated Plate Measuring (APM) machine. Classifications are compared using the Revised Hubble numerical type index T. We find that individual observers agree with one another with rms combined dispersions of between 1.3 and 2.3 type units, typically about 1.8 units. The dispersions tend to decrease slightly with increasing angular diameter and, in some cases, with increasing axial ratio (b/a). The agreement between independent observers is reasonably good but the scatter is non-negligible. In spite of the scatter, the Revised Hubble T system can be used to train an automated galaxy classifier, e.g. an artificial neural network, to handle the large number of galaxy images that are being compiled in the APM and other surveys. Key words: methods: data analysis - galaxies: general - galaxies structure.
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