TL;DR
This paper develops a formalism to compute the power spectrum of dark matter substructures in strong gravitational lenses, enabling potential differentiation between dark matter models like CDM and SIDM through lensing observations.
Contribution
It introduces a first-principles framework to calculate the substructure convergence power spectrum for various dark matter subhalo populations, linking internal profiles to observable features.
Findings
Power spectrum sensitive to subhalo abundance and mass function moments
Large wave number slope reflects subhalo density profile
SIDM shows a steepening in power spectrum at high wave numbers
Abstract
Studying the smallest self-bound dark matter structure in our Universe can yield important clues about the fundamental particle nature of dark matter. Galaxy-scale strong gravitational lensing provides a unique way to detect and characterize dark matter substructures at cosmological distances from the Milky Way. Within the cold dark matter (CDM) paradigm, the number of low-mass subhalos within lens galaxies is expected to be large, implying that their contribution to the lensing convergence field is approximately Gaussian and could thus be described by their power spectrum. We develop here a general formalism to compute from first principles the substructure convergence power spectrum for different populations of dark matter subhalos. As an example, we apply our framework to two distinct subhalo populations: a truncated Navarro-Frenk-White subhalo population motivated by standard CDM,…
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