A METHOD FOR MEASURING (SLOPES OF) THE MASS PROFILES OF DWARF SPHEROIDAL GALAXIES

By M. Walker, J. Peñarrubia. 2011

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We introduce a method for measuring the slopes of mass profiles within dwarf spheroidal (dSph) galaxies directly from stellar spectroscopic data and without adopting a dark matter halo model. Our method combines two recent results: (1) spherically symmetric, equilibrium Jeans models imply that the product of half-light radius and (squared) stellar velocity dispersion provides an estimate of the mass enclosed within the half-light radius of a dSph stellar component, and (2) some dSphs have chemodynamically distinct stellar subcomponents that independently trace the same gravitational potential. We devise a statistical method that uses measurements of stellar positions, velocities, and spectral indices to distinguish two dSph stellar subcomponents and to estimate their individual half-light radii and velocity dispersions. For a dSph with two detected stellar subcomponents, we obtain estimates of masses enclosed at two discrete points in the same mass profile, immediately defining a slope. Applied to published spectroscopic data, our method distinguishes stellar subcomponents in the Fornax and Sculptor dSphs, for which we measure slopes Γ ≡ Δlog M/Δlog r = 2.61+0.43−0.37 and Γ = 2.95+0.51−0.39, respectively. These values are consistent with “cores” of constant density within the central few hundred parsecs of each galaxy and rule out “cuspy” Navarro–Frenk–White (NFW) profiles (dlog M/dlog r ⩽ 2 at all radii) with a significance ≳ 96% and ≳ 99%, respectively. Tests with synthetic data indicate that our method tends systematically to overestimate the mass of the inner stellar subcomponent to a greater degree than that of the outer stellar subcomponent, and therefore to underestimate the slope Γ (implying that the stated NFW exclusion levels are conservative).

Subfields: Astronomy and Astrophysics, Instrumentation, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/e88086787b7a12234a6087a56f4535227bef67d3

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In Astronomy and Astrophysics

  1. P. Hopkins
  2. Volker Springel
  3. L. Hernquist
  4. James S. Bullock
  5. Simon D. M. White
  6. M. Boylan-Kolchin
  7. R. Dav'e
  8. C. Faucher-Giguére

In Instrumentation

  1. P. Hopkins
  2. James S. Bullock
  3. L. Hernquist
  4. Simon D. M. White
  5. Volker Springel
  6. M. Boylan-Kolchin
  7. A. Benson
  8. R. Somerville

In Statistical and Nonlinear Physics

  1. P. Hopkins
  2. L. Strigari
  3. Justin I. Read
  4. Rachel Mandelbaum
  5. A. Brooks
  6. James S. Bullock
  7. A. Benson
  8. A. Zolotov

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