Evaluating the ability of triaxial Schwarzschild modelling to estimate properties of galaxies from the Illustris simulation

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    Abstract

    We evaluate the capabilities of Schwarzschild’s orbit-superposition method by applying it to galaxies from the large scale, high resolution Illustris simulation. Nine early-type galaxies with a range of triaxiality are selected, and we create mock integral field unit data for five line-of-sight projections of each galaxy. Each of the 45 mock data sets is taken as an independent observed galaxy. Using van den Bosch’s 2008 triaxial Schwarzschild implementation, we assess model estimates of various galaxy properties, covering mass profiles, intrinsic shapes, stellar orbit distributions and velocity anisotropies. Total mass within Re¯¯¯¯¯¯ is recovered well with average deviations within ±15 percent. Stellar mass is underestimated by ∼24 percent and dark matter overestimated by ∼38 percent (assuming an NFW dark matter profile and allowing for degeneracy between stellar mass and dark matter mass). Using a gNFW profile, these values improve to ∼13 percent for stellar mass and ∼18 percent for dark matter. Axis ratio estimates show a moderate bias of Δ(b/a) = 0.07 and Δ(c/a) = 0.14 (a ≥ b ≥ c). Distributions of the orbit circularities λz and λx, representing rotation about the minor and major axes, are well reconstructed. Separating orbits into thermal categories, our models match the average fractions of these categories to within 10 percent. Velocity anisotropy is well estimated with values matching in the inner regions but becoming slightly radially biased in the outer regions. Overall, the galaxy property estimates we obtained using Schwarzschild modelling are not implausible and are representative of the simulated galaxies we modelled.
    Original languageEnglish
    JournalMonthly Notices of the Royal Astronomical Society
    Early online date30 Apr 2019
    DOIs
    Publication statusPublished - 2019

    Keywords

    • galaxies: elliptical and lenticular, cD, galaxies: kinematics and dynamics, galaxies: structure

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