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Dwarf galaxy mass estimators versus cosmological simulations

机译:矮星系质量估算器与宇宙模拟

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摘要

We use a suite of high-resolution cosmological dwarf galaxy simulations to test the accuracy of commonly used mass estimators from and , both of which depend on the observed line-of-sight velocity dispersion and the 2D half-light radius of the galaxy, Re. The simulations are part of the Feedback in Realistic Environments (fire) project and include 12 systems with stellar masses spanning 105–107M⊙ that have structural and kinematic properties similar to those of observed dispersion-supported dwarfs. Both estimators are found to be quite accurate: MWolfMtrue=0.980.12+0.19 and MWalkerMtrue=1.070.15+0.21, with errors reflecting the 68 per cent range over all simulations. The excellent performance of these estimators is remarkable given that they each assume spherical symmetry, a supposition that is broken in our simulated galaxies. Though our dwarfs have negligible rotation support, their 3D stellar distributions are flattened, with short-to-long axis ratios c/a ≃ 0.4–0.7. The median accuracy of the estimators shows no trend with asphericity. Our simulated galaxies have sphericalized stellar profiles in 3D that follow a nearly universal form, one that transitions from a core at small radius to a steep fall-off ∝r−42 at large r; they are well fit by Sérsic profiles in projection. We find that the most important empirical quantity affecting mass estimator accuracy is Re. Determining Re by an analytic fit to the surface density profile produces a better estimated mass than if the half-light radius is determined via direct summation.
机译:我们使用一套高分辨率宇宙学矮星系模拟来测试和常用的质量估计器的准确性,这两者都取决于观测到的视线速度色散和银河系的二维半光半径Re 。该模拟是“现实环境中的反馈”(火)项目的一部分,包括12个恒星质量超过10 5 –10 7 M⊙的系统,它们的结构和运动学特性类似到观察到的弥散支持的矮星。发现这两个估计量都非常准确: M M true = 0.98 - 0.12 + 0.19 M Walker M true = 1.07 0.15 + 0.21 ,其错误反映了所有模拟的68%范围。这些估计器的出色性能非常出色,因为它们每个都假设为球形对称,这种假设在我们的模拟星系中被打破。尽管我们的矮人的旋转支持微不足道,但它们的3D恒星分布却很平坦,短轴与长轴之比为c / a≃0.4-0.7。估计量的中值精度没有非球面性趋势。我们的模拟星系具有3D球形球形恒星轮廓,其遵循近乎普遍的形式,即从小半径的核过渡到大r的陡峭衰减∝r -42 。它们非常适合Sérsic投影中的轮廓。我们发现影响质量估计器准确性的最重要的经验量是Re。与通过直接求和确定半光半径相比,通过对表面密度分布的解析拟合确定Re可以产生更好的估计质量。

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