A Complete Spectroscopic Survey of the Milky Way satellite Segue 1: Dark matter content, stellar membership and binary properties from a Bayesian analysis
Gregory D. Martinez, Quinn E. Minor, James Bullock, Manoj Kaplinghat,, Joshua D. Simon, Marla Geha

TL;DR
This paper presents a Bayesian analysis of stellar velocities in the ultrafaint dwarf galaxy Segue 1, confirming its dark matter dominance, estimating its dark matter density, and characterizing its binary star population.
Contribution
It introduces a comprehensive Bayesian method to analyze multi-epoch stellar velocities, simultaneously estimating membership, binary effects, and dark matter content.
Findings
Segue 1 is dark-matter-dominated with high probability.
Dark matter density within the galaxy is the highest measured in the Local Group.
Binary stars may influence velocity dispersion but do not explain it entirely.
Abstract
We introduce a comprehensive analysis of multi-epoch stellar line-of-sight velocities to determine the intrinsic velocity dispersion of the ultrafaint satellites of the Milky Way. Our method includes a simultaneous Bayesian analysis of both membership probabilities and the contribution of binary orbital motion to the observed velocity dispersion within a 14-parameter likelihood. We apply our method to the Segue 1 dwarf galaxy and conclude that Segue 1 is a dark-matter-dominated galaxy at high probability with an intrinsic velocity dispersion of 3.7^{+1.4}_{-1.1} km/sec. The dark matter halo required to produce this dispersion must have an average density of 2.5^{+4.1}_{-1.9} solar mass/pc^3 within a sphere that encloses half the galaxy's stellar luminosity. This is the highest measured density of dark matter in the Local Group. Our results show that a significant fraction of the stars…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
