A new strategy for matching observed and simulated lensing galaxies
Philipp Denzel, Sampath Mukherjee, Prasenjit Saha

TL;DR
This paper proposes an alternative lens modeling approach that searches for matching galaxies in simulations rather than reconstructing mass distributions, demonstrating feasibility on real lenses and scalability for future surveys.
Contribution
It introduces a novel method for lens modeling using galaxy-formation simulations, offering a scalable alternative to traditional mass reconstruction techniques.
Findings
Feasible to match observed lenses with simulated galaxies.
Yields relative probabilities of different galaxy-formation scenarios.
Scalable to large lens samples for upcoming surveys.
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…
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