Dark Matter Substructure Detection Using Spatially Resolved Spectroscopy of Lensed Dusty Galaxies
Yashar Hezaveh, Neal Dalal, Gilbert Holder, Michael Kuhlen, Daniel, Marrone, Norman Murray, Joaquin Vieira

TL;DR
This paper demonstrates that spatially resolved spectroscopy of lensed dusty galaxies, especially with ALMA, can significantly improve detection of low-mass dark matter subhalos, advancing our understanding of dark matter distribution.
Contribution
It introduces a method using 3D spectroscopic data of lensed galaxies to detect dark matter subhalos down to ~10^8 solar masses, enhancing sensitivity over previous techniques.
Findings
Detection of ~10^8 M_{\u00b0} subhalos with high significance is feasible.
Full ALMA array can substantially improve detection capabilities.
Approximately 55% probability of detecting substructures >10^8 M_{\u00b0} in typical lenses.
Abstract
We investigate how strong lensing of dusty, star-forming galaxies by foreground galaxies can be used as a probe of dark matter halo substructure. We find that spatially resolved spectroscopy of lensed sources allows dramatic improvements to measurements of lens parameters. In particular we find that modeling of the full, three-dimensional (angular position and radial velocity) data can significantly facilitate substructure detection, increasing the sensitivity of observables to lower mass subhalos. We carry out simulations of lensed dusty sources observed by early ALMA (Cycle 1) and use a Fisher matrix analysis to study the parameter degeneracies and mass detection limits of this method. We find that, even with conservative assumptions, it is possible to detect galactic dark matter subhalos of ~ 10^8 M_{\odot} with high significance in most lensed DSFGs. Specifically, we find that in…
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