论文标题
使用具有自定义网格的初始条件来提高缩放宇宙学模拟的性能
Improving Performance of Zoom-In Cosmological Simulations using Initial Conditions with Customized Grids
论文作者
论文摘要
我们提出了一种定制用于模拟星系形成的缩放初始条件的根网格的方法。从用于播种现有初始条件结构的白噪声开始,我们切出了一个较小的感兴趣区域,然后使用修剪过的白噪声立方体创建新的根网格。这个新的根网格包含与原始网格相似的结构,但允许使用较小的盒子和不同的网格分辨率,可以调整以最适合给定的仿真代码。为了最小化变焦区域,将原始变焦区域的暗物质颗粒和气体放置在新的根网中,除了散装速度偏移以外,没有任何修改以匹配新根网格中相应区域的系统性速度。我们使用包含局部组类似物的缩放初始条件来验证此方法。我们使用原始和修改的初始条件进行无碰撞模拟,找到良好的一致性。两个最大星系的暗物质光环质量$ z = 0 $匹配原件的15%以内。主要合并的时代和质量以及完整的暗物质积聚历史都很好。虽然我们不重现原始模拟中发现的特定卫星星系,但我们在最大圆速度和与中央星系的距离的分布中获得了定性一致。我们还检查了此方法提供的运行时加速,以使用ART代码进行完整的流体动力模拟。我们发现减少根网细胞的大小会提高性能,但是粒子和细胞数量增加可以抵消某些增益。我们测试了几个实现,我们的最佳运行实现了近两个倍的速度。
We present a method for customizing the root grid of zoom-in initial conditions used for simulations of galaxy formation. Starting from the white noise used to seed the structures of an existing initial condition, we cut out a smaller region of interest and use this trimmed white noise cube to create a new root grid. This new root grid contains similar structures as the original, but allows for a smaller box volume and different grid resolution that can be tuned to best suit a given simulation code. To minimally disturb the zoom region, the dark matter particles and gas cells from the original zoom region are placed within the new root grid, with no modification other than a bulk velocity offset to match the systemic velocity of the corresponding region in the new root grid. We validate this method using a zoom-in initial condition containing a Local Group analog. We run collisionless simulations using the original and modified initial conditions, finding good agreement. The dark matter halo masses of the two most massive galaxies at $z=0$ match the original to within 15%. The times and masses of major mergers are reproduced well, as are the full dark matter accretion histories. While we do not reproduce specific satellite galaxies found in the original simulation, we obtain qualitative agreement in the distributions of the maximum circular velocity and the distance from the central galaxy. We also examine the runtime speedup provided by this method for full hydrodynamic simulations with the ART code. We find that reducing the root grid cell size improves performance, but the increased particle and cell numbers can negate some of the gain. We test several realizations, with our best runs achieving a speedup of nearly a factor of two.