We present the analysis of a sample of 24 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 H0 of around 25+37−19 per cent. The analysis of a control sample of 24 lens systems, for which we have perfect knowledge about the shape of the lensing potential, leads to a fractional error on H0 of 12+6−3 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 < 1.7-2.0 × 10-3 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.

Systematic errors in strong gravitational lensing reconstructions, a numerical simulation perspective / Wolfgang Enzi; Simona Vegetti; Giulia Despali; Jen-Wei Hsueh; R. Benton Metcalf. - In: MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY. - ISSN 0035-8711. - ELETTRONICO. - 496:2(2020), pp. 1718-1729. [10.1093/mnras/staa1224]

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

Giulia Despali;Metcalf
2020

Abstract

We present the analysis of a sample of 24 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 H0 of around 25+37−19 per cent. The analysis of a control sample of 24 lens systems, for which we have perfect knowledge about the shape of the lensing potential, leads to a fractional error on H0 of 12+6−3 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 < 1.7-2.0 × 10-3 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.
2020
Systematic errors in strong gravitational lensing reconstructions, a numerical simulation perspective / Wolfgang Enzi; Simona Vegetti; Giulia Despali; Jen-Wei Hsueh; R. Benton Metcalf. - In: MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY. - ISSN 0035-8711. - ELETTRONICO. - 496:2(2020), pp. 1718-1729. [10.1093/mnras/staa1224]
Wolfgang Enzi; Simona Vegetti; Giulia Despali; Jen-Wei Hsueh; R. Benton Metcalf
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/785746
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