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Dark Matter Substructure: A Lensing Perspective
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abstract
The study of dark matter substructure through strong gravitational lensing has shown enormous promise in probing the properties of dark matter on sub-galactic scales. This approach has already been used to place strong constraints on a wide range of dark matter models including self-interacting dark matter, fuzzy dark matter and warm dark matter. A major source of degeneracy exists between suppression of low mass halos due to novel dark matter physics and the strength of tidal stripping experienced by subhalos. We study theoretical predictions for the statistical properties of subhalos in strong gravitational lenses using the semi-analytic galaxy formation toolkit: galacticus. We present a large suite of dark matter only galacticus models, spanning nearly two orders of magnitude in host halo mass (from Milky Way to group mass halos between redshifts from $0.2$ to $0.8$). Additionally, we include a smaller set of galacticus runs with the potential of a central massive elliptical to complement our dark matter only suite of models. We place particular focus on quantities relevant to strong gravitational lensing; namely the projected number density of substructure near the Einstein radius as function of host stellar mass and redshift. In the innermost region in projection, we find that our galacticus models agrees with N-body simulations within a factor of $\sim 2$ within the Einstein radius. We find that the addition of a central galaxy suppresses the projected number density of subhalos within in the Einstein radius by around $15\%$ relative to dark matter only simulations.
Forward citations
Cited by 2 Pith papers
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JWST lensed quasar dark matter survey IV: Stringent warm dark matter constraints from the joint reconstruction of extended lensed arcs and quasar flux ratios
Adding extended lensed arcs to quasar flux ratios in 28 JWST lenses tightens the dark-matter free-streaming limit to m_hm < 10^7.4 M⊙ (galacticus prior) and gives the most precise lensing measurement of subhalo abundance.
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Generating Dark Matter Subhalo Populations Using Normalizing Flows
A normalizing flow emulator reproduces Galacticus subhalo populations well enough for strong lensing flux-ratio analyses, and the emulated populations give lensing statistics comparable to the empirical model.
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