25–28 Mar 2020
UCLA
US/Pacific timezone

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

25 Mar 2020, 19:13
1m
UCLA Faculty Center (UCLA)

UCLA Faculty Center

UCLA

480 Charles E Young Dr E, Los Angeles, CA 90095, United States
Poster Dark matter and structure in the Universe RECEPTION and POSTER SESSION IN THE SAME ROOM

Speaker

Wolfgang Enzi (MPA- Garching, Germany)

Description

We present the analysis of a sample of twenty-four galaxy-galaxy strong gravitational lens systems with a background source and deflectors from the Illustris-1 simulation. We create mock lensing observations with a data quality comparable to known samples such as the SLACS lenses, to study the degeneracy between the complex mass distribution of the lenses, subhaloes, 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, due to the presence of cores in the simulated lenses, most reconstructions are affected by some form of the Source Position Transformation. The latter leads to a systematic underestimation of the source sizes by 50 percent on average, and a fractional error in the Hubble constant of 36 percent. On the other hand, we find no degeneracy between complexity in the lensing potential and the inferred amount of substructure. We recover an average total projected mass fraction in subhaloes of $f_{\rm sub}<1.7-2.0\times10^{-3}$ at the 68 percent confidence level which is consistent with zero and in agreement with the fact that all subhaloes had been removed from the simulation. Our work highlights the need for even higher-resolution simulations to quantify the lensing effect of more realistic galactic potentials better. Finally, our results confirm that additional observational constraints may be required to break existing degeneracies.

Author

Wolfgang Enzi (MPA- Garching, Germany)

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