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The 2dF Gravitational Lens Survey

Published online by Cambridge University Press:  05 March 2013

Daniel J. Mortlock
Affiliation:
Institute of Astronomy, Madingley Road, Cambridge CB3 0HA, United Kingdom; mortlock@ast.cam.ac.uk Astrophysics Group, Cavendish Laboratory, Madingley Road, Cambridge CB3 0HE, United Kingdom
Darren S. Madgwick
Affiliation:
Institute of Astronomy, Madingley Road, Cambridge CB3 0HA, United Kingdom; dsm@ast.cam.ac.uk
Ofer Lahav
Affiliation:
Institute of Astronomy, Madingley Road, Cambridge CB3 0HA, United Kingdom; lahav@ast.cam.ac.uk
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Abstract

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The 2 degree Field (2dF) galaxy redshift survey will involve obtaining spectra of approximately 2.5 105 objects which have previously been identified as galaxy candidates on morphological grounds. Included in these spectra should be about ten gravitationally-lensed quasars, all with low-redshift galaxies as deflectors (as the more common lenses with high-redshift deflectors will be rejected from the survey as multiple point-sources). The lenses will appear as superpositions of galaxy and quasar spectra, and either cross-correlation techniques or principal components analysis should be able to identify candidates systematically. With the 2dF survey approximately half-completed it is now viable to begin a methodical search for these spectroscopic lenses, and the first steps of this project are described here.

Type
Research Article
Copyright
Copyright © Astronomical Society of Australia 2001

References

Cole, S., et al. 2001, MNRAS, submitted (astro-ph/0012429)Google Scholar
Folkes, S. R., et al. 1999, MNRAS, 308, 459 CrossRefGoogle Scholar
Geller, M. J., & Huchra, J. P. 1989, Science, 246, 897 CrossRefGoogle Scholar
Hall, P. B., et al. 2000, AJ, 120, 1660 CrossRefGoogle Scholar
Hewett, P. C., Warren, S. J., Willis, J. P., Bland-Hawthorn, J., & Lewis, G. F. 1999, in Imaging the Universe in Three Dimensions, ed. W. van Breugel, & J. Bland-Hawthorn (San Francisco: ASP), p. 94 Google Scholar
Huchra, J. P., Gorenstien, M., Kent, S., Shapiro, I., Smith, G., Horine, E., & Perley, R. 1985, AJ, 90, 691 Google Scholar
Kochanek, C. S. 1992, ApJ, 397, 381 Google Scholar
Mortlock, D. J., & Drinkwater, M. J. 2001, PASA, 18, 195 Google Scholar
Mortlock, D. J., & Webster, R. L. 2000, MNRAS, 319, 879 Google Scholar
Mortlock, D. J., & Webster, R. L. 2001, MNRAS, 321, 629 CrossRefGoogle Scholar
Murtagh, F., & Hecht, A. 1987, Multivariate Data Analysis (Dordrecht: Reidel)Google Scholar
Warren, S. J., Hewett, P. C., Lewis, G. F., Møller, P., Iovino, A., & Shaver, P. A. 1996, MNRAS, 278, 139 Google Scholar
Willis, J. P., Hewett, P. C., Warren, S. J., & Lewis, G. F. 2001, MNRAS, submittedGoogle Scholar
Yee, H. K. C., et al. 2000, ApJS, 129, 475 Google Scholar
York, D.G., et al. 2000, AJ, 120, 1579 Google Scholar