The combination of these two sets of constraints has led to the
currently favored model of low matter density and a non-zero
cosmological constant, preserving a flat geometry (e.g. White 1998; Efstathiou et al. 1999; Freedman 2000; Sahni & Starobinsky 2000; Jaffe et al. 2001). Although these recent results
are quite spectacular, there still remain many sources of
uncertainties with both methods. Thus any other
independent test to constrain the large scale
geometry of the Universe is important to investigate.
Gravitational lensing, an effect involving large distance
scales, has been considered as a very promising tool
for such determinations. Indeed, the statistics of gravitational
lenses depend on the cosmological parameters via angular size
distances and the comoving spherical volume (e.g. Turner et al. 1984; Turner 1990; Kochanek 1996; Falco et al. 1998). This technique has provided an upper limit on
using different surveys of galaxy lens systems: multiple
quasar statistics (Kochanek 1996; Chiba & Yoshii 1999), lensed radio sources
(Cooray 1999), lensed galaxies in the Hubble Deep Field
(Cooray et al. 1999). Although most authors favor a lambda-dominated flat
Universe, there remain some uncertainties in the mass distribution of
the galaxy lenses and on the luminosity function of the sources.
Evolutionary effects may also play a role in these statistics.
Another application of gravitational lensing to constrain the cosmological
parameters is to use the statistics of the "cosmic'' shear variance.
Van Waerbeke et al. (1999) showed that it is related to the
power spectrum of the large scale mass fluctuations, and then to
.
The first results of deep wide field imaging surveys favor
in the range [0.2-0.5] (Maoli et al. 2001; Van Waerbeke et al. 2001; Bacon et al. 2000; Wittman et al. 2000).
Imaging surveys with the next generation of panoramic CCD cameras will
reinforce this very promising technique. In the case of weak lensing
by clusters of galaxies, Lombardi & Bertin (1999) and Gautret et al. (2000) suggested
methods to constrain the geometry of the Universe.
These methods need however to recover the mass distribution and/or to know
acurately the redshift of a huge number of distant galaxies, making this method
not practical in the near future.
In this paper, we focus on a measurement technique of
using gravitational lensing as a
purely geometrical test of the curvature of the Universe, since the
lens equation depends on the ratio of angular size distances which is
sensitive to the cosmological parameters. In the most favorable case,
a massive cluster of galaxies can lens several background
galaxies, splitting the images into several families of multiple images.
The existence of one family of multiple images, at known redshift,
allows to calibrate the total cluster mass in an absolute way. In the
case of several sets of multiple images with known redshifts, it is
possible in principle to constrain the geometry of the Universe. This
method was pointed out by Blandford & Narayan (1992), and earlier suggested by
Paczynski & Gorski (1981), but the uncertainties in any lens studies were
considered too large compared to the small variations induced by the
cosmological parameters. More recently, Link & Pierce (1998) (hereafter LP98)
re-analysed the question in the light of the typical accuracy reached
with HST images of clusters of galaxies. Following their method, which
inspired our work, we try to quantify in this paper what can be
reasonably obtained on
from accurate lens
modeling of realistic cluster-lenses.
The paper is organized as follows. In Sect. 2 we summarize the main
lensing equations and we introduce the relevant angular size distance
ratio which contains the dependence on the cosmological parameters.
The variation of this ratio is then compared to that of other variables (lens
potential parameters and redshifts) to derive the expected
uncertainties on
and
.
In Sect. 3 we
present the method in detail and the results from simulations of
various types of families of images and of different types of lens
potentials. Some conclusions and prospects for the application to real
data are discussed in Sect. 4. Throughout this paper we assume H0=65
km s-1 Mpc-1 (note however that the proposed method and results are
independent of H0).
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