Non-parametric Reconstruction of Cluster Mass Distribution from Strong Lensing: Modelling Abell 370
arXiv:astro-ph/9707207 · doi:10.1111/j.1365-8711.1998.01356.x
Abstract
We describe a new non-parametric technique for reconstructing the mass distribution in galaxy clusters with strong lensing, i.e., from multiple images of background galaxies. The observed positions and redshifts of the images are considered as rigid constraints and through the lens (ray-trace) equation they provide us with linear constraint equations. These constraints confine the mass distribution to some allowed region, which is then found by linear programming. Within this allowed region we study in detail the mass distribution with minimum mass-to-light variation; also some others, such as the smoothest mass distribution. The method is applied to the extensively studied cluster Abell 370, which hosts a giant luminous arc and several other multiply imaged background galaxies. Our mass maps are constrained by the observed positions and redshifts (spectroscopic or model-inferred by previous authors) of the giant arc and multiple image systems. The reconstructed maps obtained for \a370 reveal a detailed mass distribution, with substructure quite different from the light distribution. The method predicts the bimodal nature of the cluster and that the projected mass distribution is indeed elongated along the axis defined by the two dominant cD galaxies. But the peaks in the mass distribution appear to be offset from the centres of the cDs. We also present an estimate for the total mass of the central region of the cluster. This is in good agreement with previous mass determinations. The total mass of the central region is M=(2.0-2.7) 10^14 Msun/h50, depending on the solution chosen.
14 pages(19 postscript figures), minor corrections, MNRAS in press
Cited by in corpus (36)
- A Bayesian approach to strong lensing modelling of galaxy clusters
- Hubble Space Telescope Combined Strong and Weak Lensing Analysis of the CLASH Sample: Mass and Magnification Models and Systematic Uncertainties
- Gravitational Lensing in Astronomy
- Cluster Lenses
- CLASH: The Concentration-Mass Relation of Galaxy Clusters
- Parametric Strong Gravitational Lensing Analysis of Abell 1689
- Combined reconstruction of weak and strong lensing data with WSLAP
- Non-parametric inversion of strong lensing systems
- A genetic algorithm for the non-parametric inversion of strong lensing systems
- Abell 370 revisited: refurbished Hubble imaging of the first strong lensing cluster
- Non-parametric mass reconstruction of A1689 from strong lensing data with SLAP
- Non-parametric Reconstruction of Abell 2218 from Combined Weak and Strong Lensing
- Non-parametric inversion of gravitational lensing systems with few images using a multi-objective genetic algorithm
- The Hubble constant from eight time-delay galaxy lenses
- Gravitational lensing in modified Newtonian dynamics
- Time Delay Lens Modelling Challenge
- A Study of Catalogued Nearby Galaxy Clusters in the SDSS-DR4. II. Cluster Substructure
- A Neural Network Gravitational Arc Finder based on the Mediatrix filamentation Method
- Constraining the galaxy mass content in the core of A383 using velocity dispersion measurements for individual cluster members
- Two strong-lensing clusters confront universal dark-matter profiles
- Prospects for the Determination of H_0 through Observation of Multiply Imaged Supernovae in Galaxy Cluster Fields
- Cosmological Parameter Determination in Free-Form Strong Gravitational Lens Modeling
- Systematic vs. Statistical Uncertainties in Masses and Magnifications of the Hubble Frontier Fields
- An Improved GPU-Based Ray-Shooting Code For Gravitational Microlensing
- Quantifying substructures in {\it Hubble Frontier Field} clusters: comparison with simulations
- Mesh-free free-form lensing I: Methodology and application to mass reconstruction
- Extended lens reconstructions with Grale: exploiting time domain, substructural and weak-lensing information
- Lensing time delays as a substructure constraint: a case study with the cluster SDSS~J1004+4112
- Finding Singularities in Gravitational Lensing
- Deep Learning in Wide-field Surveys: Fast Analysis of Strong Lenses in Ground-based Cosmic Experiments
- Lessons from a blind study of simulated lenses: image reconstructions do not always reproduce true convergence
- Exotic Image Formation in Strong Gravitational Lensing by Clusters of Galaxies. I: Cross-Section
- A new strategy for matching observed and simulated lensing galaxies
- Exotic Image Formation in Strong Gravitational Lensing by Clusters of Galaxies -- II: Uncertainties
- A Computer Program to Visualize Gravitational Lenses
- A short review on joint weak and strong cluster lens-mass reconstruction