Semi-Analytic Modeling of Dark Matter Subhalo Encounters with Thin Stellar Streams: Statistical Predictions for GD-1-like Streams in CDM
Duncan K. Adams, Aditya Parikh, Oren Slone, Rouven Essig, Manoj Kaplinghat, Adrian M. Price-Whelan

TL;DR
This paper models the likelihood and properties of dark matter subhalos creating observable gaps in GD-1-like stellar streams within the Lambda-CDM framework, using semi-analytic simulations.
Contribution
It introduces a semi-analytic approach to predict the occurrence and characteristics of stream gaps caused by dark matter subhalos in the Milky Way.
Findings
Subhalos with masses $2\times 10^6$ to $10^8 M_{\odot}$ are most likely to produce stream gaps.
On average, about 3 gaps occur per host realization, with widths of 5-27 degrees.
Gaps have fractional underdensities of 10-30%, caused by subhalos with impact parameters 0.1-1.5 kpc.
Abstract
Stellar streams from disrupted globular clusters are dynamically cold structures that are sensitive to perturbations from dark matter subhalos, allowing them in principle to trace the dark matter substructure in the Milky Way. We model, within the context of CDM, the likelihood of dark matter subhalos to produce a significant feature in a GD-1-like stream and analyze the properties of such subhalos. We generate many realizations of the subhalo population within a Milky Way mass host halo using the semi-analytic code SatGen, accounting for effects such as tidal stripping and dynamical friction. The subhalo distributions are combined with a GD-1-like stream model, and the impact of subhalos that pass close to the stream are modeled with Gala. We find that subhalos with masses in the range at the time of the stream-subhalo encounter,…
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