arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2005.03955astro-ph.GAastro-ph.COhep-ph
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预测星系结构中的暗物质速度分布:与流体动力学宇宙学模拟的检验

Predicting the dark matter velocity distribution in galactic structures: tests against hydrodynamic cosmological simulations

Thomas Lacroix, Arturo Núñez-Castiñeyra, Martin Stref, Julien Lavalle, Emmanuel Nezri

摘要:

减少银河系暗物质(DM)搜索中的理论不确定性是一个重要的挑战,因为几个实验现在正在深入研究与流行(粒子与否)候选者相关的参数空间。由于许多DM信号的预测依赖于DM速度分布的知识-直接搜索、被恒星捕获、p波抑制或Sommerdos增强的湮灭率、原始黑洞的微透镜效应等。有必要评估我们目前理论处理的准确性。除了麦克斯韦近似或特设外推宇宙学模拟的拟合,已经提出的方法,自洽地得出DM相空间分布只从银河系的详细质量内容和一些对称性假设(例如爱丁顿反演及其各向异性扩展)。虽然理论上是合理的,但这些方法仍然基于简化的假设,它们与真实星系的相关性可能受到质疑。在本文中,我们使用放大的宇宙学模拟来量化相关的不确定性。在各向同性的假设下,我们从模拟中测得的DM和重子含量预测了速度分布及其矩,并与真实结果进行了比较。作为输入银河系质量模型拟合完整的模拟数据,我们达到了一些速度相关的观测值的预测下降到10%,显着优于一些麦克斯韦模型。这个适度的理论错误在像盖亚任务这样的恒星调查应该允许我们改进银河系质量模型的约束的时候特别令人鼓舞。

英文摘要:

Reducing theoretical uncertainties in Galactic dark matter (DM) searches is an important challenge as several experiments are now delving into the parameter space relevant to popular (particle or not) candidates. Since many DM signal predictions rely on the knowledge of the DM velocity distribution---direct searches, capture by stars, p-wave-suppressed or Sommerfeld-enhanced annihilation rate, microlensing of primordial black holes, etc.---it is necessary to assess the accuracy of our current theoretical handle. Beyond Maxwellian approximations or ad-hoc extrapolations of fits on cosmological simulations, approaches have been proposed to self-consistently derive the DM phase-space distribution only from the detailed mass content of the Galaxy and some symmetry assumptions (e.g. the Eddington inversion and its anisotropic extensions). Although theoretically sound, these methods are still based on simplifying assumptions and their relevance to real galaxies can be questioned. In this paper, we use zoomed-in cosmological simulations to quantify the associated uncertainties. Assuming isotropy, we predict the speed distribution and its moments from the DM and baryonic content measured in simulations, and compare them with the true ones. Taking as input galactic mass models fitted on full simulation data, we reach a predictivity down to ~ 10% for some velocity-related observables, significantly better than some Maxwellian models. This moderate theoretical error is particularly encouraging at a time when stellar surveys like the Gaia mission should allow us to improve constraints on Galactic mass models.

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