Journal
ASTROPHYSICAL JOURNAL
Volume 767, Issue 1, Pages -Publisher
IOP Publishing Ltd
DOI: 10.1088/0004-637X/767/1/9
Keywords
dark matter; galaxies: dwarf; galaxies: luminosity function, mass function; galaxies: structure; gravitational lensing: strong
Categories
Funding
- NASA [NNX12AD02G]
- NSERC
- CRC program
- CIfAR
- FQRNT
- Sloan Research Fellowship from the Alfred P. Sloan Foundation
- Office of Integrative Activities
- Office Of The Director [1124453] Funding Source: National Science Foundation
- NASA [52865, NNX12AD02G] Funding Source: Federal RePORTER
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We investigate how strong lensing of dusty, star-forming galaxies (DSFGs) 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 similar to 10(8) M-circle dot with high significance in most lensed DSFGs. Specifically, we find that in typical DSFG lenses, there is a similar to 55% probability of detecting a substructure with M > 10(8) M-circle dot with more than 5 sigma detection significance in each lens, if the abundance of substructure is consistent with previous lensing results. The full ALMA array, with its significantly enhanced sensitivity and resolution, should improve these estimates considerably. Given the sample of similar to 100 lenses provided by surveys such as the South Pole Telescope, our understanding of dark matter substructure in typical galaxy halos is poised to improve dramatically over the next few years.
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