论文标题
遗传 - 一种新的初始条件发生器,以支持基因修饰的变焦模拟
GenetIC -- a new initial conditions generator to support genetically modified zoom simulations
论文作者
论文摘要
我们提出了遗传,这是一种用于生成宇宙n体模拟初始条件的新代码。该代码允许对模拟的任意区域进行精确的,用户指定的更改(同时与统计合奏保持一致)。这些“遗传修饰”允许改变目标光环的历史,质量或环境,以研究其进化的影响。该代码本质地支持嵌套变焦区域的初始条件,并逐渐增加分辨率。高分辨率区域中的修改必须自以为是的较低分辨率网格;为了在保持较小的内存足迹的同时,我们引入了一种以可变分辨率生成字段的傅立叶空间过滤方法。由于与修改的密切对应关系,遗传也可以产生受约束的初始条件(例如,目的是匹配本地宇宙中的结构)。我们测试在缩放初始条件下进行的修改的准确性。该代码达到了次级精度,这很容易就足以足以用于银河形成中的当前应用。
We present genetIC, a new code for generating initial conditions for cosmological N-body simulations. The code allows precise, user-specified alterations to be made to arbitrary regions of the simulation (while maintaining consistency with the statistical ensemble). These "genetic modifications" allow, for example, the history, mass, or environment of a target halo to be altered in order to study the effect on their evolution. The code natively supports initial conditions with nested zoom regions at progressively increasing resolution. Modifications in the high-resolution region must propagate self-consistently onto the lower resolution grids; to enable this while maintaining a small memory footprint, we introduce a Fourier-space filtering approach to generating fields at variable resolution. Due to a close correspondence with modifications, constrained initial conditions can also be produced by genetIC (for example with the aim of matching structures in the local Universe). We test the accuracy of modifications performed within zoom initial conditions. The code achieves sub-percent precision, which is easily sufficient for current applications in galaxy formation.