A new strategy for matching observed and simulated lensing galaxies
arXiv:2102.10114 · doi:10.1093/mnras/stab1716
Abstract
The study of strong-lensing systems conventionally involves constructing a mass distribution that can reproduce the observed multiply-imaging properties. Such mass reconstructions are generically non-unique. Here, we present an alternative strategy: instead of modelling the mass distribution, we search cosmological galaxy-formation simulations for plausible matches. In this paper we test the idea on seven well-studied lenses from the SLACS survey. For each of these, we first pre-select a few hundred galaxies from the EAGLE simulations, using the expected Einstein radius as an initial criterion. Then, for each of these pre-selected galaxies, we fit for the source light distribution, while using MCMC for the placement and orientation of the lensing galaxy, so as to reproduce the multiple images and arcs. The results indicate that the strategy is feasible, and even yields relative posterior probabilities of two different galaxy-formation scenarios, though these are not statistically significant yet. Extensions to other observables, such as kinematics and colours of the stellar population in the lensing galaxy, is straightforward in principle, though we have not attempted it yet. Scaling to arbitrarily large numbers of lenses also appears feasible. This will be especially relevant for upcoming wide-field surveys, through which the number of galaxy lenses will rise possibly a hundredfold, which will overwhelm conventional modelling methods.
arXiv comment17 pages, 10 figures, submitted to MNRAS
References in corpus (42)
- The EAGLE project: Simulating the evolution and assembly of galaxies and their environments
- Introducing the Illustris Project: Simulating the coevolution of dark and visible matter in the Universe
- The EAGLE simulations of galaxy formation: calibration of subgrid physics and model variations
- Galaxies on FIRE (Feedback In Realistic Environments): Stellar Feedback Explains Cosmologically Inefficient Star Formation
- A model for cosmological simulations of galaxy formation physics
- The physics driving the cosmic star formation history
- The Sloan Lens ACS Survey. X. Stellar, Dynamical, and Total Mass Correlations of Massive Early-type Galaxies
- AGAMA: Action-based galaxy modelling architecture
- Simulating galactic outflows with thermal supernova feedback
- The Sloan Lens ACS Survey. I. A Large Spectroscopically Selected Sample of Massive Early-Type Lens Galaxies
- The EAGLE simulations of galaxy formation: public release of halo and galaxy catalogues
- The Sloan Lens ACS Survey. V. The Full ACS Strong-Lens Sample
- Towards a realistic population of simulated galaxy groups and clusters
- The population of galaxy-galaxy strong lenses in forthcoming optical imaging surveys
- Fast Automated Analysis of Strong Gravitational Lenses with Convolutional Neural Networks
- Galaxies-Intergalactic Medium Interaction Calculation --I. Galaxy formation as a function of large-scale environment
- The Frontier Fields Lens Modeling Comparison Project
- AutoLens: Automated Modeling of a Strong Lens's Light, Mass and Source
- Space Warps: I. Crowd-sourcing the Discovery of Gravitational Lenses
- The Sloan Lens ACS Survey. XIII. Discovery of 40 New Galaxy-Scale Strong Lenses
- A portable modeler of lensed quasars
- COSMOGRAIL XIX: Time delays in 18 strongly lensed quasars from 15 years of optical monitoring
- The Hubble time inferred from 10 time-delay lenses
- Unveiling dark halos in lensing galaxies
- GLAMER Part I: A Code for Gravitational Lensing Simulations with Adaptive Mesh Refinement
- GLAMER Part II: Multiple Plane Gravitational Lensing
- Time-delay cosmographic forecasts with strong lensing and JWST stellar kinematics
- The Hubble constant from eight time-delay galaxy lenses
- Using Convolutional Neural Networks to identify Gravitational Lenses in Astronomical images
- Strong Gravitational Lensing and the Stellar IMF of Early-type Galaxies
- Time Delay Lens Modelling Challenge
- Non-parametric Reconstruction of Cluster Mass Distribution from Strong Lensing: Modelling Abell 370
- Generalised model-independent characterisation of strong gravitational lenses IV: formalism-intrinsic degeneracies
- SEAGLE - I: A pipeline for simulating and modeling strong lenses from cosmological hydrodynamic simulations
- Physical properties of simulated galaxy populations at z=2 - II. Effects of cosmology, reionization and ISM physics
- Gravitational Lens Recovery with GLASS: Measuring the mass profile and shape of a lens
- The impact of CDM substructure and baryon-dark matter transition on the image positions of quad galaxy lenses
- SEAGLE--II: Constraints on feedback models in galaxy formation from massive early type strong lens galaxies
- Crash-testing the CAULDRON code for joint lensing and dynamics analysis of early-type galaxies
- Models of gravitational lens candidates from Space Warps CFHTLS
- Multiply-imaged time-varying sources behind galaxy clusters - Comparing FRBs to QSOs, SNe, and GRBs
- Lessons from a blind study of simulated lenses: image reconstructions do not always reproduce true convergence