论文标题
矮星系中的暗物质密度曲线：链接牛仔裤建模系统和观察
Dark Matter Density Profiles in Dwarf Galaxies: Linking Jeans Modeling Systematics and Observation
论文作者
论文摘要
矮星系中暗物质的分布可能对我们对星系形成以及暗物质的粒子物理特性具有重要意义。但是，由于数据有限和难以准确建模的复杂动态，因此准确地表征矮星系的暗物质含量是具有挑战性的。在本文中，我们将球形牛仔裤建模应用于球形，各向同性矮星系的模拟恒星运动学数据，目的是识别未来的观测方向，这些方向可以提高以乳白色方式矮星系中推断出的暗物质分布的准确性。我们探讨了暗物质推断如何受到观察到的恒星的位置和数量以及视线速度测量误差的影响。我们使用模拟观察来证明用少于10,000星的数据集约束暗物质分布的内部核心/尖端的困难。我们还证明了需要进行其他测量，以对预期的暗物质歼灭信号强度进行强大的估计。为了得出强大的间接检测约束，我们将URSA Major II，Ursa Minor和Draco识别为最大程度上受益于观察到其他恒星的系统。
The distribution of dark matter in dwarf galaxies can have important implications on our understanding of galaxy formation as well as the particle physics properties of dark matter. However, accurately characterizing the dark matter content of dwarf galaxies is challenging due to limited data and complex dynamics that are difficult to accurately model. In this paper, we apply spherical Jeans modeling to simulated stellar kinematic data of spherical, isotropic dwarf galaxies with the goal of identifying the future observational directions that can improve the accuracy of the inferred dark matter distributions in the Milky Way dwarf galaxies. We explore how the dark matter inference is affected by the location and number of observed stars as well as the line-of-sight velocity measurement errors. We use mock observation to demonstrate the difficulty in constraining the inner core/cusp of the dark matter distribution with datasets of fewer than 10,000 stars. We also demonstrate the need for additional measurements to make robust estimates of the expected dark matter annihilation signal strength. For the purpose of deriving robust indirect detection constraints, we identify Ursa Major II, Ursa Minor, and Draco as the systems that would most benefit from additional stars being observed.
