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Modeling Galaxy Lenses

Blandford, Roger and Surpi, Gabriela and Kundić, Tomislav (2000) Modeling Galaxy Lenses. . (Unpublished)

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In order to use a gravitational lens to measure the Hubble constant accurately, it is necessary to derive a reliable model of the lens surface potential. If the analysis is restricted to the locations and magnifications of point images, the derived Hubble constant depends upon the class of mass models used to fit the data. However, when there is extended emission from an Einstein ring, it may be possible to derive a potential from the observed surface brightness in a model-independent manner. This procedure is illustrated with reference to B1608+656. The multi-band images are de-reddened, de-convolved and de-contaminated so that the luminous matter and the surface brightness contours in the Einstein ring are both faithfully mapped. This intensity distribution can then be used to reconstruct the potential. Progress in implementing this program is reported. The observed incidence of multiple-imaged galaxies on the Hubble Deep Fields is an order of magnitude smaller than naively predicted on the basis of radio lens surveys, like CLASS, but consistent with the rate computed using surface photometry of candidate lens galaxies assuming standard mass to light ratios. In order to resolve this paradox, it is suggested that most galaxy lenses are located in compact groups.

Item Type:Report or Paper (Discussion Paper)
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URLURL TypeDescription Paper
Blandford, Roger0000-0002-1854-5506
Additional Information:This research owes much to the careful radio, infrared and optical observations of B1608+656 led by Chris Fassnacht, Tony Readhead and Paul Schechter, respectively. Tereasa Brainerd, Judith Cohen, David Hogg and Lori Lubin are thanked for collaboration on parts of the HDF analysis. Support under NSF grant AST is gratefully acknowledged. RB thanks the Institutes for Advanced Study, of Astronomy and of Theoretical Physics for hospitality and NSF (through grant AST99-00866) for support, respectively.
Funding AgencyGrant Number
NSFAST 99-00866
Record Number:CaltechAUTHORS:20190603-111046733
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:96037
Deposited By: Tony Diaz
Deposited On:03 Jun 2019 18:38
Last Modified:03 Oct 2019 21:19

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