English

Systematic errors in strong gravitational lensing reconstructions, a numerical simulation perspective

Astrophysics of Galaxies 2020-05-27 v2

Abstract

We present the analysis of a sample of twenty-four SLACS-like galaxy-galaxy strong gravitational lens systems with a background source and deflectors from the Illustris-1 simulation. We study the degeneracy between the complex mass distribution of the lenses, substructures, the surface brightness distribution of the sources, and the time delays. Using a novel inference framework based on Approximate Bayesian Computation, we find that for all the considered lens systems, an elliptical and cored power-law mass density distribution provides a good fit to the data. However, the presence of cores in the simulated lenses affects most reconstructions in the form of a Source Position Transformation. The latter leads to a systematic underestimation of the source sizes by 50 per cent on average, and a fractional error in H0H_{0} of around 2519+3725_{-19}^{+37} per cent. The analysis of a control sample of twenty-four lens systems, for which we have perfect knowledge about the shape of the lensing potential, leads to a fractional error on H0H_{0} of 123+612_{-3}^{+6} per cent. We find no degeneracy between complexity in the lensing potential and the inferred amount of substructures. We recover an average total projected mass fraction in substructures of fsub<1.72.0×103f_{\rm sub}<1.7-2.0\times10^{-3} at the 68 per cent confidence level in agreement with zero and the fact that all substructures had been removed from the simulation. Our work highlights the need for higher-resolution simulations to quantify the lensing effect of more realistic galactic potentials better, and that additional observational constraint may be required to break existing degeneracies.

Keywords

Cite

@article{arxiv.1911.02581,
  title  = {Systematic errors in strong gravitational lensing reconstructions, a numerical simulation perspective},
  author = {W. Enzi and S. Vegetti and G. Despali and J. -W. Hsueh and R. B. Metcalf},
  journal= {arXiv preprint arXiv:1911.02581},
  year   = {2020}
}

Comments

Accepted by MNRAS

R2 v1 2026-06-23T12:07:49.330Z