Dark Matter Constraints from a Unified Analysis of Strong Gravitational Lenses and Milky Way Satellite Galaxies
Ethan O. Nadler, Simon Birrer, Daniel Gilman, Risa H. Wechsler,, Xiaolong Du, Andrew Benson, Anna M. Nierenberg, Tommaso Treu

TL;DR
This paper combines strong gravitational lensing and Milky Way satellite data to improve constraints on warm dark matter properties, accounting for model degeneracies and covariances, and demonstrates a significant tightening of existing limits.
Contribution
It presents a novel multidimensional analysis that jointly infers dark matter substructure properties from heterogeneous data sources, advancing the methodology for small-scale structure studies.
Findings
Sets new upper limit on the half-mode mass, $M_{hm}<10^{7.0} M_{\odot}$
Disfavors warm dark matter particle mass below 9.7 keV at 95% confidence
Improves existing limits on $m_{WDM}$ by approximately 30%
Abstract
Joint analyses of small-scale cosmological structure probes are relatively unexplored and promise to advance measurements of microphysical dark matter properties using heterogeneous data. Here, we present a multidimensional analysis of dark matter substructure using strong gravitational lenses and the Milky Way (MW) satellite galaxy population, accounting for degeneracies in model predictions and using covariances in the constraining power of these individual probes for the first time. We simultaneously infer the projected subhalo number density and the half-mode mass describing the suppression of the subhalo mass function in thermal relic warm dark matter (WDM), , using the semianalytic model to connect the subhalo population inferred from MW satellite observations to the strong lensing host halo mass and redshift regime. Combining MW…
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