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SEAGLE - I : a pipeline for simulating and modeling strong lenses from cosmological hydrodynamic simulations.

Mukherjee, S. and Koopmans, L. V. E. and Metcalf, R. B. and Tessore, N. and Tortora, C. and Schaller, M. and Schaye, J. and Crain, R. A. and Vernardos, G. and Bellagamba, F. and Theuns, T. (2018) 'SEAGLE - I : a pipeline for simulating and modeling strong lenses from cosmological hydrodynamic simulations.', Monthly notices of the Royal Astronomical Society., 479 (3). pp. 4108-4125.

Abstract

In this paper we introduce the SEAGLE (i.e. Simulating EAGLE LEnses) program, that approaches the study of galaxy formation through strong gravitational lensing, using a suite of high-resolution hydrodynamic simulations, Evolution and Assembly of GaLaxies and their Environments (EAGLE) project. We introduce the simulation and analysis pipeline and present the first set of results from our analysis of early-type galaxies. We identify and extract an ensemble of simulated lens galaxies and use the GLAMER ray-tracing lensing code to create mock lenses similar to those observed in the SLACS and SL2S surveys, using a range of source parameters and galaxy orientations, including observational effects such as the Point-Spread-Function (PSF), pixelization and noise levels, representative of single-orbit observations with the Hubble Space Telescope (HST) using the ACS-F814W filter. We subsequently model these mock lenses using the code LENSED, treating them in the same way as observed lenses. We also estimate the mass model parameters directly from the projected surface mass density of the simulated galaxy, using an identical mass model family. We perform a three-way comparison of all the measured quantities with real lenses. We find the average total density slope of EAGLE lenses, t=2.26(0.25rms) to be higher than SL2S, t = 2.16 or SLACS, t = 2.08. We find a very strong correlation between the external shear (γ) and the complex ellipticity (ε), with γ ∼ ε/4. This correlation indicates a degeneracy in the lens mass modeling. We also see a dispersion between lens modeling and direct fitting results, indicating systematical biases.

Item Type:Article
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1093/mnras/sty1741
Publisher statement:This article has been accepted for publication in Monthly Notices of the Royal Astronomical Society © 2018 The Authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved.
Date accepted:25 June 2018
Date deposited:12 July 2018
Date of first online publication:02 July 2018
Date first made open access:No date available

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