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Title: A Robust Mass Estimator for Dark Matter Subhalo Perturbations in Strong Gravitational Lenses

Journal Article · · The Astrophysical Journal (Online)
 [1];  [2]; ORCiD logo [3]
  1. City Univ. of New York, NY (United States); American Museum of Natural History, New York, NY (United States)
  2. Univ. of California, Irvine, CA (United States)
  3. Univ. of Chicago, IL (United States); Argonne National Lab. (ANL), Lemont, IL (United States)

A few dark matter substructures have recently been detected in strong gravitational lenses through their perturbations of highly magnified images. We derive a characteristic scale for lensing perturbations and show that they are significantly larger than the perturber's Einstein radius. We show that the perturber's projected mass enclosed within this radius, scaled by the log-slope of the host galaxy's density profile, can be robustly inferred even if the inferred density profile and tidal radius of the perturber are biased. We demonstrate the validity of our analytic derivation using several gravitational lens simulations where the tidal radii and the inner log-slopes of the density profile of the perturbing subhalo are allowed to vary. Here, by modeling these simulated data, we find that our mass estimator, which we call the effective subhalo lensing mass, is accurate to within about 10% or smaller in each case, whereas the inferred total subhalo mass can potentially be biased by nearly an order of magnitude. We therefore recommend that the effective subhalo lensing mass be reported in future lensing reconstructions, as this will allow for a more accurate comparison with the results of dark matter simulations.

Research Organization:
Argonne National Lab. (ANL), Argonne, IL (United States)
Sponsoring Organization:
USDOE; National Science Foundation (NSF)
Grant/Contract Number:
AC02-06CH11357; PHY-1316792; AST-1615306; CNS-0855217; CNS-0958379; ACI-1126113.
OSTI ID:
1476647
Journal Information:
The Astrophysical Journal (Online), Vol. 845, Issue 2; ISSN 1538-4357
Publisher:
Institute of Physics (IOP)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 15 works
Citation information provided by
Web of Science

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Cited By (13)

Generalised model-independent characterisation of strong gravitational lenses: III. Perturbed axisymmetric lenses journal July 2018
Probing the nature of dark matter particles with stellar streams journal July 2018
Modelling the line-of-sight contribution in substructure lensing journal January 2018
Quantifying the power spectrum of small-scale structure in semi-analytic galaxies journal August 2019
Low-mass halo perturbations in strong gravitational lenses at redshift z  ∼ 0.5 are consistent with CDM journal February 2019
A Model-Independent Characterisation of Strong Gravitational Lensing by Observables journal July 2019
Gravitational Lensing Signatures of Axion Dark Matter Minihalos in Highly Magnified Stars journal January 2020
Highly Magnified Stars in Lensing Clusters: New Evidence in a Galaxy Lensed by MACS J0416.1-2403 journal July 2019
Generalised model-independent characterisation of strong gravitational lenses: IV. Formalism-intrinsic degeneracies journal December 2018
Generalised model-independent characterisation of strong gravitational lenses III: perturbed axisymmetric lenses text January 2017
Highly Magnified Stars in Lensing Clusters: New Evidence in a Galaxy Lensed by MACS J0416.1-2403 text January 2019
A model-independent characterisation of strong gravitational lensing by observables text January 2019
Direct Detection of Dark Matter Substructure in Strong Lens Images with Convolutional Neural Networks text January 2019