论文标题
用于宇宙学恒星光环模拟I-方法的半分析和N体星系(COSANS)I-方法和暗物质晕圈的结构
Coupling Semi-Analytic and N-body Galaxies (CoSANG) for cosmological stellar halo simulations I- Methods and the structure of dark matter halos
论文作者
论文摘要
我们提出了Cosang(耦合半分析和N体星系),这是一种用于宇宙暗物质和恒星光环模拟的新型混合模型。在这种方法中,无碰撞模型(gadget3)用于重力相互作用,而耦合的半分析模型(SAGE)计算每个时间步长的Baryonic效应。在每个时间步骤中,这种现场的自洽互动是Cosang和传统半分析模型之间的关键区别,这些模型主要用于后处理。通过考虑重子的重力效应,Cosang可以克服纯N体模拟的某些缺陷,而计算上的计算量不如流体动力模拟。此外,Cosang可以通过标记Tracer暗物质颗粒产生出色的光环群体。我们使用受控的测试模拟和一组三种宇宙缩放模拟(MW)质量光环来证明这种方法的性能和动态精度。我们在没有耦合的情况下模拟每个目标光环(仅暗物质,以后DMO)和耦合(cosang)。我们比较了光环的内部结构(subhalo分布,形状和方向)。与DMO模型相比,在Cosang模型中观察到以下更改:1)靠近光环中心的近光的总数减小,2)$ v _ {\ Mathrm {max}} $分布峰位于较低的值,位于DMO模型以下,3)轴比率较小。 DMO和Cosang模拟之间的差异在早期形成光环中更为显着。
We present CoSANG (Coupling Semi-Analytic and N-body Galaxies), a new hybrid model for cosmological dark matter and stellar halo simulations. In this approach a collisionless model (Gadget3) is used for gravitational interactions while a coupled semi-analytic model (SAGE) calculates baryonic effects at each time-step. This live self-consistent interaction at each time-step is the key difference between CoSANG and traditional semi-analytic models that are mainly used for post-processing. By accounting for the gravitational effect of the baryons, CoSANG can overcome some of the deficiencies of pure N-body simulations, while being less computationally expensive than hydrodynamic simulations. Moreover CoSANG can produce stellar halo populations via tagging tracer dark matter particles. We demonstrate the performance and dynamical accuracy of this approach using both controlled test simulations and a set of three cosmological zoom-in simulations of Milky Way (MW) mass halos. We simulate each target halo both without the coupling (dark matter only, hereafter DMO) and with the coupling (CoSANG). We compare the internal structure (subhalo distribution, shape and orientation) of the halos. The following changes are observed in the CoSANG model compared to the DMO model: 1) the total number of subhaloes close to the center of the halo is reduced, 2) the $V_{\mathrm{max}}$ distribution peaks at a lower value and lies below the DMO model, 3) the axis ratio is smaller. The difference between DMO and CoSANG simulations is more significant in early forming halos.