Where is the matter in the Merging Cluster Abell 2218?
arXiv:0710.5636
Abstract
We present a parametric strong lensing model of the cluster Abell 2218 based on HST ACS data. We constrain the lens model using 8 previously known multiply imaged systems, of which 7 have spectroscopically confirmed redshifts. In addition, we propose five candidate multiply imaged systems and estimate their redshifts using our mass model. The model parameters are optimized in the source plane by a bayesian Monte Carlo Markov Chain as implemented in the the publicly available software Lenstool. We find rms=0."12 for the scatter of the sources in the source plane, which translates into rms=1."49 between the predicted and measured image positions in the image plane. We find that the projected mass distribution of Abell 2218 is bimodal, which is supported by an analysis of the light distribution. We also find evidence for two structures in velocity space, separated by ~1000 km/s, corresponding to the two large scale dark matter clumps. We find that the lensing constraints can not be well reproduced using only dark matter halos associated with the cluster galaxies, but that the dark matter is required to be smoothly distributed in large scale halos. At 100" the enclosed projected mass is 3.8e14 solar masses. At that radius, the large scale halos contribute ~85% of the mass. We find that the model is not very sensitive to the fainter galaxy sized halos, unless they locally perturb a given multiply imaged system. Therefore, dark galaxy sized substructure can be reliably constrained only if it locally perturbs one of the systems. In an appendix we give a self-contained description of the parametric profile we use, the dual pseudo isothermal elliptical mass distribution (dPIE). This profile is a two component pseudo isothermal mass distribution (PIEMD) with both a core radii and a scale radii. (Abridged)
19 pages, 20 figures, 4 tables
Cited by in corpus (25)
- Lens models and magnification maps of the six Hubble Frontier Fields clusters
- The behaviour of dark matter associated with 4 bright cluster galaxies in the 10kpc core of Abell 3827
- The effect of baryons on the inner density profiles of rich clusters
- The systematics of strong lens modeling quantified: the effects of constraint selection and redshift information on magnification, mass, and multiple image predictability
- Mass distribution in the core of MACS J1206: robust modeling from an exceptionally large sample of central multiple images
- z~7-10 Galaxies behind Lensing Clusters: Contrast with Field Search Results
- Probing 3D Structure with a Large MUSE Mosaic: Extending the Mass Model of Frontier Field Abell 370
- Lens Model and Time Delay Predictions for the Sextuply Lensed Quasar SDSS J2222+2745
- hybrid-Lenstool: A self-consistent algorithm to model galaxy clusters with strong- and weak-lensing simultaneously
- The distribution of dark matter and gas spanning six megaparsecs around the post-merger galaxy cluster MS0451-03
- SHARDS Frontier Fields: Physical properties of a low mass Lyman-alpha emitter at z=5.75
- Improving parametric mass modelling of lensing clusters through a perturbative approach
- Stellar feedback in a clumpy galaxy at 3.4
- The Mass Distribution of the Unusual Merging Cluster Abell 2146 from Strong Lensing
- Resolved galactic superwinds reconstructed around their host galaxies at z>3
- Core Mass Estimates in Strong Lensing Galaxy Clusters Using a Single-Halo Lens Model
- Exotic Image Formation in Strong Gravitational Lensing by Clusters of Galaxies -- IV. Elliptical NFW Lenses and Hyperbolic Umbilics
- Cluster Strong Lensing with Hierarchical Inference
- A Stringent Upper Limit on Dark Matter Self-Interaction Cross Section from Cluster Strong Lensing
- CURLING -- II. Improvement on the Inference from Pixelized Cluster Strong Lens Modeling
- Galaxy shapes of Light (GaLight): a 2D modeling of galaxy images
- The KALEIDOSCOPE survey : A new strong and weak gravitational lensing view of the massive galaxy cluster MACS J1423.8+2404
- Mapping dark matter and finding filaments: calibration of lensing analysis techniques on simulated data
- High Performance Computing for gravitational lens modeling: single vs double precision on GPUs and CPUs
- Core Mass Estimates in Strong Lensing Galaxy Clusters: a Comparison Between Masses Obtained from Detailed Lens Models, Single-Halo Lens Models, and Einstein Radii