Self-Interacting Dark Matter with Mass Segregation: A Unified Explanation of Dwarf Cores and Small-Scale Lenses

TL;DR

This paper proposes a two-component self-interacting dark matter model with mass segregation that explains dwarf galaxy cores, enhances small-scale lensing signals, and aligns with large-scale constraints.

Contribution

It introduces a novel two-component SIDM framework with velocity-dependent interactions that naturally leads to mass segregation and explains small-scale structure observations.

Findings

Mass segregation enhances central densities in dwarf halos.

Model predicts stronger lensing signatures consistent with observations.

Framework can explain dark perturbers in strong lensing systems.

Abstract

In two-component self-interacting dark matter (SIDM) models with inter-species interactions, mass segregation arises naturally from collisional relaxation, enhancing central densities and gravothermal evolution. We demonstrate that models with velocity-dependent interactions, both within and between species, can connect several small-scale observations while remaining consistent with cluster-scale constraints. This combination enables core formation in dwarf halos, where the presence of baryons increases the inner densities and enhances the predicted strong lensing signatures. Using cosmological and controlled simulations alongside an accurate parametric model, we present proof-of-principle examples showing that this framework can explain the structure of dark perturbers observed in strong lensing systems, and can enhance the efficiency of small-scale lenses by a factor of a few, in line with the excess reported in galaxy-galaxy strong-lensing observations. Importantly, mass segregation can enhance the Einstein radii of SIDM halos relative to their cold dark matter (CDM) counterparts, overcoming a key challenge in one-component SIDM scenarios. Our results present mass segregation in two-component SIDM as a self-consistent, testable framework with the potential to address multiple small-scale challenges in structure formation.