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The Detection of Dark Galaxies in Blind HI Surveys

Published online by Cambridge University Press:  01 June 2007

Jonathan I. Davies
Jonathan I. Davies*
Affiliation:
School of Physics and Astronomy, Cardiff University, Queen's Buildings, 5 The Parade, Cardiff CF24 3YB, Wales, UK.
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Abstract

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One explanation for the disparity between Cold Dark Matter predictions of galaxy numbers and observations could be that there are numerous dark galaxies in the Universe. These galaxies may still contain baryons, but no stars, and may be detectable in the 21cm line of atomic hydrogen. In this paper we describe a numerical model of the galaxy population and predict what might be found in blind 21cm surveys. We describe the detection of a dark galaxy candidate (VIRGOHI21) and discuss a model of its origin.

Keywords

Galaxies: formationinteractionsCosmology: dark matter
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 3 , Symposium S244: Dark Galaxies and Lost Baryons , June 2007 , pp. 7 - 16
Copyright
Copyright © International Astronomical Union 2008

References

Dalcanton, J., Spergel, D., & Summers, F., ApJ, 482, 659CrossRefGoogle Scholar
Davies, J., et al. , 2004, MNRAS, 349, 922CrossRefGoogle Scholar
Davies, J. I, Disney, M. J., Minchin, R. F., Auld, R., & Smith, R., 2006, MNRAS, 368, 1479CrossRefGoogle Scholar
Doyle, et al. , 2005, MNRAS, 361, 34CrossRefGoogle Scholar
Efstathiou, G., Lake, G., & Negroponte, J., 1982, MNRAS, 199, 1069Google Scholar
Hernquist, L., & Katz, N., 1989, ApJS, 70, 419Google Scholar
Iye, M., Okamura, S., & Watanabe, M., 1982, ApJ, 256, 103Google Scholar
Koribalski, B., et al. , 2004, AJ, 128, 16CrossRefGoogle Scholar
Maloney, P., 1993, ApJ, 414, 41Google Scholar
Minchin, R., et al. , 2005, ApJ, 622, L21CrossRefGoogle Scholar
Minchin, R., et al. , 2007, ApJ, in pressGoogle Scholar
Mo, H., Mao, S., & White, S., 1998, MNRAS, 295, 319CrossRefGoogle Scholar
Navarro, J., Frenk, C., & White, S., 1995, MNRAS, 275, 56Google Scholar
Navarro, J., Frenk, C., & White, S., 1996, ApJ, 462, 563CrossRefGoogle Scholar
Phookun, B., Vogel, S., & Mundy, L., 1993, ApJ, 418, 113CrossRefGoogle Scholar
Oosterloo, T., & van Gorkom, J., 2005, AA, 437, 190CrossRefGoogle Scholar
Phookun, B., Vogel, S. N., & Mundy, L. G., 1993, ApJ, 418, 113CrossRefGoogle Scholar
Schaye, J., 2004, ApJ, 609, 667Google Scholar
Taylor, E. N., & Webster, R. L., 2005, ApJ, 634, 1067CrossRefGoogle Scholar
Verde, L., Oh, S. P., & Jimenez, R., 2002, MNRAS, 336, 541CrossRefGoogle Scholar
Vollmer, B., Huchtmeier, W., & van Driel, W., 2005, AA, 439, 921CrossRefGoogle Scholar
Warren, M., Quinn, P., Salmon, J., & Zurek, W., 1992, ApJ, 399, 405Google Scholar
Williams, P., 1998, Ph.D. Thesis, Cardiff UniversityGoogle Scholar
Williams, P., & Nelson, A., 2001,AA, 374, 839CrossRefGoogle Scholar
Wilson, G., Kaiser, N., & Luppino, G., ApJ, 2001, 556, 601CrossRefGoogle Scholar
Widrow, L., 2000, ApJ, 131, 39Google Scholar