L-PICOLA: A parallel code for fast dark matter simulation
L-PICOLA: A parallel code for fast dark matter simulation
复制标题
DOI：
10.1016/j.ascom.2015.07.003
复制
发表时间：
2015-09-01
影响因子：
2.5
通讯作者：
Percival, W. J.
中科院分区：
文献类型：
--
作者：
Howlett, C.;Manera, M.;Percival, W. J.
基于当前大规模结构调查的稳健测量要求对统计和系统误差有准确的了解。这可以从大量真实的模拟星系星表中获得，这些星表模拟了观测到的星系在调查范围内的分布。为此，我们提出了一个快速的、分布式存储的平面并行程序L-PICOLA，它可以用来产生一组初始条件，并将其演化成暗物质场，其速度比完全非线性N体模拟快得多。此外，L-皮科拉还能够在模拟中包含原始的非高斯性，并在运行时模拟过去的光锥，并具有模拟体积的可选复制。通过与完全非线性N体模拟的比较，我们发现我们的程序可以在所有测量重子声振荡和红移空间扭曲的尺度上再现暗物质的z=0功率谱和双谱，分别在2%和5%以内，但速度快3个数量级。这一代码的准确性、速度和可扩展性，加上我们已经实施的其他功能，使其对当前和下一代大规模结构调查都非常有用。L-皮科拉在https://cullanhowlett.github.io/l-picola.上公开发售(C)2015爱思唯尔B.V.保留所有权利。
Robust measurements based on current large-scale structure surveys require precise knowledge of statistical and systematic errors. This can be obtained from large numbers of realistic mock galaxy catalogues that mimic the observed distribution of galaxies within the survey volume. To this end we present a fast, distributed-memory, planar-parallel code, L-PICOLA, which can be used to generate and evolve a set of initial conditions into a dark matter field much faster than a full non-linear N-Body simulation. Additionally, L-PICOLA has the ability to include primordial non-Gaussianity in the simulation and simulate the past lightcone at run-time, with optional replication of the simulation volume. Through comparisons to fully non-linear N-Body simulations we find that our code can reproduce the z = 0 power spectrum and reduced bispectrum of dark matter to within 2% and 5% respectively on all scales of interest to measurements of Baryon Acoustic Oscillations and Redshift Space Distortions, but 3 orders of magnitude faster. The accuracy, speed and scalability of this code, alongside the additional features we have implemented, make it extremely useful for both current and next generation large-scale structure surveys. L-PICOLA is publicly available at https://cullanhowlett.github.io/l-picola. (C) 2015 Elsevier B.V. All rights reserved.