91 research outputs found
Model-independent and model-based local lensing properties of CL0024+1654 from multiply-imaged galaxies
We investigate to which precision local magnification ratios, ,
ratios of convergences, , and reduced shears, , can be
determined model-independently for the five resolved multiple images of the
source at in CL0024. We also determine if a comparison to
the respective results obtained by the parametric modelling program Lenstool
and by the non-parametric modelling program Grale can detect biases in the lens
models. For these model-based approaches we additionally analyse the influence
of the number and location of the constraints from multiple images on the local
lens properties determined at the positions of the five multiple images of the
source at . All approaches show high agreement on the local
values of , , and . We find that Lenstool obtains the
tightest confidence bounds even for convergences around one using constraints
from six multiple image systems, while the best Grale model is generated only
using constraints from all multiple images with resolved brightness features
and adding limited small-scale mass corrections. Yet, confidence bounds as
large as the values themselves can occur for convergences close to one in all
approaches. Our results are in agreement with previous findings, supporting the
light-traces-mass assumption and the merger hypothesis for CL0024. Comparing
the three different approaches allows to detect modelling biases. Given that
the lens properties remain approximately constant over the extension of the
image areas covered by the resolvable brightness features, the
model-independent approach determines the local lens properties to a comparable
precision but within less than a second. (shortened)Comment: 22 pages, published in A&A 612 A17, comments welcom
Non-parametric strong lens inversion of SDSS J1004+4112
In this article we study the well-known strong lensing system SDSS
J1004+4112. Not only does it host a large-separation lensed quasar with
measured time-delay information, but several other lensed galaxies have been
identified as well. A previously developed strong lens inversion procedure that
is designed to handle a wide variety of constraints, is applied to this lensing
system and compared to results reported in other works. Without the inclusion
of a tentative central image of one of the galaxies as a constraint, we find
that the model recovered by the other constraints indeed predicts an image at
that location. An inversion which includes the central image provides tighter
constraints on the shape of the central part of the mass map. The resulting
model also predicts a central image of a second galaxy where indeed an object
is visible in the available ACS images. We find masses of 2.5x10^13 M_O and
6.1x10^13 M_O within a radius of 60 kpc and 110 kpc respectively, confirming
the results from other authors. The resulting mass map is compatible with an
elliptical generalization of a projected NFW profile, with r_s = 58_{-13}^{+21}
arcsec and c_vir = 3.91 +/- 0.74. The orientation of the elliptical NFW profile
follows closely the orientation of the central cluster galaxy and the overall
distribution of cluster members.Comment: 11 pages, accepted for publication in MNRA
Lensing degeneracies and mass substructure
The inversion of gravitational lens systems is hindered by the fact that
multiple mass distributions are often equally compatible with the observed
properties of the images. Besides using clear examples to illustrate the effect
of the so-called monopole and mass sheet degeneracies, this article introduces
the most general form of said mass sheet degeneracy. While the well known
version of this degeneracy rescales a single source plane, this generalization
allows any number of sources to be rescaled. Furthermore, it shows how it is
possible to rescale each of those sources with a different scale factor. Apart
from illustrating that the mass sheet degeneracy is not broken by the presence
of multiple sources at different redshifts, it will become apparent that the
newly constructed mass distribution necessarily alters the existing mass
density precisely at the locations of the images in the lens system, and that
this change in mass density is linked to the factors with which the sources
were rescaled. Combined with the fact that the monopole degeneracy introduces a
large amount of uncertainty about the density in between the images, this means
that both degeneracies are in fact closely related to substructure in the mass
distribution. An example simulated lensing situation based on an elliptical
version of a Navarro-Frenk-White profile explicitly shows that such
degeneracies are not easily broken by observational constraints, even when
multiple sources are present. Instead, the fact that each lens inversion method
makes certain assumptions, implicit or explicit, about the smoothness of the
mass distribution means that in practice the degeneracies are broken in an
artificial manner rather than by observed properties of the lens system.Comment: 10 pages, accepted for publication by MNRA
Non-parametric strong lens inversion of Cl~0024+1654: illustrating the monopole degeneracy
The cluster lens Cl 0024+1654 is undoubtedly one of the most beautiful
examples of strong gravitational lensing, providing five large images of a
single source with well-resolved substructure. Using the information contained
in the positions and the shapes of the images, combined with the null space
information, a non-parametric technique is used to infer the strong lensing
mass map of the central region of this cluster. This yields a strong lensing
mass of 1.60x10^14 M_O within a 0.5' radius around the cluster center. This
mass distribution is then used as a case study of the monopole degeneracy,
which may be one of the most important degeneracies in gravitational lensing
studies and which is extremely hard to break. We illustrate the monopole
degeneracy by adding circularly symmetric density distributions with zero total
mass to the original mass map of Cl 0024+1654. These redistribute mass in
certain areas of the mass map without affecting the observed images in any way.
We show that the monopole degeneracy and the mass-sheet degeneracy together lie
at the heart of the discrepancies between different gravitational lens
reconstructions that can be found in the literature for a given object, and
that many images/sources, with an overall high image density in the lens plane,
are required to construct an accurate, high-resolution mass map based on
strong-lensing data.Comment: 9 pages, accepted for publication by MNRA
A genetic algorithm for the non-parametric inversion of strong lensing systems
We present a non-parametric technique to infer the projected-mass
distribution of a gravitational lens system with multiple strong-lensed images.
The technique involves a dynamic grid in the lens plane on which the mass
distribution of the lens is approximated by a sum of basis functions, one per
grid cell. We used the projected mass densities of Plummer spheres as basis
functions. A genetic algorithm then determines the mass distribution of the
lens by forcing images of a single source, projected back onto the source
plane, to coincide as well as possible. Averaging several tens of solutions
removes the random fluctuations that are introduced by the reproduction process
of genomes in the genetic algorithm and highlights those features common to all
solutions. Given the positions of the images and the redshifts of the sources
and the lens, we show that the mass of a gravitational lens can be retrieved
with an accuracy of a few percent and that, if the sources sufficiently cover
the caustics, the mass distribution of the gravitational lens can also be
reliably retrieved. A major advantage of the algorithm is that it makes full
use of the information contained in the radial images, unlike methods that
minimise the residuals of the lens equation, and is thus able to accurately
reconstruct also the inner parts of the lens.Comment: 11 pages, accepted for publication by MNRA
A Systematic Review of Strong Gravitational Lens Modeling Software
Despite expanding research activity in gravitational lens modeling, there is
no particular software which is considered a standard. Much of the
gravitational lens modeling software is written by individual investigators for
their own use. Some gravitational lens modeling software is freely available
for download but is widely variable with regard to ease of use and quality of
documentation. This review of 13 software packages was undertaken to provide a
single source of information. Gravitational lens models are classified as
parametric models or non-parametric models, and can be further divided into
research and educational software. Software used in research includes the
GRAVLENS package (with both gravlens and lensmodel), Lenstool, LensPerfect,
glafic, PixeLens, SimpLens, Lensview, and GRALE. In this review, GravLensHD,
G-Lens, Gravitational Lensing, lens and MOWGLI are categorized as educational
programs that are useful for demonstrating various aspects of lensing. Each of
the 13 software packages is reviewed with regard to software features
(installation, documentation, files provided, etc.) and lensing features (type
of model, input data, output data, etc.) as well as a brief review of studies
where they have been used. Recent studies have demonstrated the utility of
strong gravitational lensing data for mass mapping, and suggest increased use
of these techniques in the future. Coupled with the advent of greatly improved
imaging, new approaches to modeling of strong gravitational lens systems are
needed. This is the first systematic review of strong gravitational lens
modeling software, providing investigators with a starting point for future
software development to further advance gravitational lens modeling research
Mass-Galaxy offsets in Abell 3827, 2218 and 1689: intrinsic properties or line-of-sight substructures?
We have made mass maps of three strong-lensing clusters, Abell 3827, Abell
2218 and Abell 1689, in order to test for mass-light offsets. The technique
used is GRALE, which enables lens reconstruction with minimal assumptions, and
specifically with no information about the cluster light being given. In the
first two of these clusters, we find local mass peaks in the central regions
that are displaced from the nearby galaxies by a few to several kpc. These
offsets {\em could\/} be due to line of sight structure unrelated to the
clusters, but that is very unlikely, given the typical levels of chance
line-of-sight coincidences in simulations --- for Abell 3827 and
Abell 2218 the offsets appear to be intrinsic. In the case of Abell 1689, we
see no significant offsets in the central region, but we do detect a possible
line of sight structure: it appears only when sources at z\ga 3 are used for
reconstructing the mass. We discuss possible origins of the mass-galaxy offsets
in Abell 3827 and Abell 2218: these include pure gravitational effects like
dynamical friction, but also non-standard mechanisms like self-interacting
dark-matter.Comment: 14 pages, 9 figures; Accepted for publication in MNRA
Quantifying substructures in {\it Hubble Frontier Field} clusters: comparison with simulations
The Hubble Frontier Fields (HFF) are six clusters of galaxies, all showing
indications of recent mergers, which have recently been observed for lensed
images. As such they are the natural laboratories to study the merging history
of galaxy clusters. In this work, we explore the 2D power spectrum of the mass
distribution as a measure of substructure. We compare of these clusters (obtained using strong gravitational lensing) to that
of CDM simulated clusters of similar mass. To compute lensing , we produced free-form lensing mass reconstructions of HFF clusters,
without any light traces mass (LTM) assumption. The inferred power at small
scales tends to be larger if (i)~the cluster is at lower redshift, and/or
(ii)~there are deeper observations and hence more lensed images. In contrast,
lens reconstructions assuming LTM show higher power at small scales even with
fewer lensed images; it appears the small scale power in the LTM
reconstructions is dominated by light information, rather than the lensing
data. The average lensing derived shows lower power at small
scales as compared to that of simulated clusters at redshift zero, both
dark-matter only and hydrodynamical. The possible reasons are: (i)~the
available strong lensing data are limited in their effective spatial resolution
on the mass distribution, (ii)~HFF clusters have yet to build the small scale
power they would have at , or (iii)~simulations are somehow
overestimating the small scale power.Comment: 13 pages, 10 figures, 1 table; Accepted for publication in MNRA
Non-parametric inversion of gravitational lensing systems with few images using a multi-objective genetic algorithm
Galaxies acting as gravitational lenses are surrounded by, at most, a handful
of images. This apparent paucity of information forces one to make the best
possible use of what information is available to invert the lens system. In
this paper, we explore the use of a genetic algorithm to invert in a
non-parametric way strong lensing systems containing only a small number of
images. Perhaps the most important conclusion of this paper is that it is
possible to infer the mass distribution of such gravitational lens systems
using a non-parametric technique. We show that including information about the
null space (i.e. the region where no images are found) is prerequisite to avoid
the prediction of a large number of spurious images, and to reliably
reconstruct the lens mass density. While the total mass of the lens is usually
constrained within a few percent, the fidelity of the reconstruction of the
lens mass distribution depends on the number and position of the images. The
technique employed to include null space information can be extended in a
straightforward way to add additional constraints, such as weak lensing data or
time delay information.Comment: 9 pages, accepted for publication by MNRA
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