Probing Dark Matter with Strong Gravitational Lensing through an Effective Density Slope
At{\i}n\c{c} \c{C}a\u{g}an \c{S}eng\"ul, Cora Dvorkin

TL;DR
This paper proposes using the effective density slope of dark matter perturbers in strong gravitational lensing to distinguish between different dark matter models, demonstrating its robustness and applying it to real data.
Contribution
It introduces the effective density slope as a new observable for dark matter studies via lensing, validated through simulations and applied to real observations.
Findings
Effective density slope can differentiate dark matter models.
Measured slope for a specific perturber is a 2σ outlier of CDM.
Simulations show slope distributions vary with dark matter scenarios.
Abstract
Many dark matter (DM) models that are consistent with current cosmological data show differences in the predicted (sub)halo mass function, especially at sub-galactic scales, where observations are challenging due to the inefficiency of star formation. Strong gravitational lensing has been shown to be a useful tool for detecting dark low-mass (sub)halos through perturbations in lensing arcs, therefore allowing the testing of different DM scenarios. However, measuring the total mass of a perturber from strong lensing data is challenging. Over or underestimating perturber masses can lead to incorrect inferences about the nature of DM. In this paper, we argue that inferring an effective slope of the dark matter density profile, which is the power-law slope of perturbers at intermediate radii, where we expect the perturber to have the largest observable effect, is a promising way to…
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