Hostname: page-component-cd9895bd7-gvvz8 Total loading time: 0 Render date: 2024-12-25T16:42:39.590Z Has data issue: false hasContentIssue false

Finding the Bivariate Brightness Distribution of Galaxies from an HI Selected Sample

Published online by Cambridge University Press:  05 March 2013

R. F. Minchin*
Affiliation:
University of Wales, Cardiff, PO Box 913, Cardiff, CF2 5YB, UK; [email protected] Australia Telescope National Facility, CSIRO, PO Box 76, Epping, NSW 2121, Australia; [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

A method is presented that will enable the bivariate luminosity/surface brightness distribution of galaxies to be determined from a relatively small HI selected sample. This will be taken from the HI Parkes All Sky Survey (HIPASS). The advantages of using an HI sample in order to avoid the selection effects that are present at optical wavelengths are discussed. We are developing an algorithm to automatically extract a uniform sample of galaxies from the HIPASS data cubes and to determine the parameters of these galaxies. We have so far conducted tests involving both simulated sources injected into cubes with real noise and data from the Multibeam Deep survey. Results from these tests are encouraging.

Type
Research Article
Copyright
Copyright © Astronomical Society of Australia 1999

References

Barnes, D. G., Staveley-Smith, L., Ye, T., & Oosterloo, T. 1998, in ADASS VII (San Francisco: ASP), p. 89 Google Scholar
Charlton, J. C., Salpeter, E. E., & Linder, S. M. 1994, ApJ, 430, L29 Google Scholar
Corbelli, E., & Salpeter, E. E. 1993, ApJ, 419, 104 Google Scholar
de Blok, W. J. G., McGaugh, S. S., & van der Hulst, J. M. 1996, MNRAS, 283, 18 Google Scholar
Disney, M. J. 1976, Nature, 263, 573 Google Scholar
Disney, M. J., & Banks, G. 1997, PASA, 14, 69 Google Scholar
Disney, M. J., & Phillipps, S. 1983, MNRAS, 205, 1253 Google Scholar
Disney, M. J., Boyce, P. J., Banks, G. D., Minchin, R. F., & Wright, A. E. 1999, PASA, 16, 66 Google Scholar
Ferguson, H. C., & McGaugh, S. S. 1995, ApJ, 440, 470 Google Scholar
Impey, C., & Bothun, G. 1997, ARA&A, 35, 267 Google Scholar
Kilborn, V., Staveley-Smith, L., & Webster, R. 1999, PASA, 16, 8 Google Scholar
Lauberts, A., & Valentijn, E. A. 1988. Astronomy from Large Databases: Scientific Objectives and Methodological Approaches (Garching: ESO), p. 37 Google Scholar
McGaugh, S. S. 1994, Nature, 367, 538 Google Scholar
McGaugh, S. S., Bothun, G. D., & Schombert, J. M. 1995, AJ, 110, 573 Google Scholar
Sault, R. J., Teuben, P. J., & Wright, M. C. H. 1995, in ADASS IV (San Francisco: ASP), p. 433 Google Scholar
Schechter, P. 1976, ApJ, 343, 94 Google Scholar
Schmidt, M. 1968, ApJ, 151, 393 Google Scholar
Schombert, J. M., Bothun, G. D., Schneider, S. E., & McGaugh, S. S. 1992, AJ, 103, 1107 Google Scholar
Tully, R. B., & Fisher, J. R. 1977, A&A, 54, 661 Google Scholar
van Gorkom, J. H. 1993, in The Environment and Evolution of Galaxies, ed. Shull, J. M. & Thronson, H. A. (Dordrecht: Kluwer), p. 345 Google Scholar
Zwaan, M. A., van der Hulst, J. M., de Blok, W. J. G., & McGaugh, S. S. 1995, MNRAS, 273L, 35 Google Scholar