PINOCCHIO and the hierarchical build-up of dark matter haloes
PINOCCHIO and the hierarchical build-up of dark matter haloes
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DOI：
10.1046/j.1365-8711.2002.05441.x
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发表时间：
2001-09
影响因子：
4.8
通讯作者：
G. Taffoni;P. Monaco;T. Theuns
中科院分区：
文献类型：
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作者：
G. Taffoni;P. Monaco;T. Theuns
ABSTRA C T我们研究了PINOCCHIO（PINpointing Orbit-Crossing Collapsed Higrical Objects）预测暗物质（DM）晕合并历史的能力，并将PINOCCHIO预测结果与两个大型N体模拟结果进行了比较。我们把注意力集中在与星系形成和大尺度结构研究最相关的数量上。皮诺曹能够以20%的典型准确率预测合并树的统计数据，其有效性扩展到祖先分布的高阶矩。该协议在逐个对象的级别上也是有效的，当父晕本身被清晰地识别时，70 - 90%的祖先被清晰地识别出来。还提出了预测的数量，通常不能复制的半解析代码，如两点相关函数的祖先的大规模晕和合并晕的初始轨道参数的分布。为了预测的准确性和合并历史的产生，PINOCCHIO提供了一种生成DM晕目录的方法，这与大规模N体模拟非常有竞争力，使其成为星系形成和大规模结构研究的合适工具。
ABSTRA C T We study the ability of PINOCCHIO (PINpointing Orbit-Crossing Collapsed HIerarchical Objects) to predict the merging histories of dark matter (DM) haloes, comparing the PINOCCHIO predictions with the results of two large N-body simulations run from the same set of initial conditions. We focus our attention on the quantities most relevant to galaxy formation and large-scale structure studies. PINOCCHIO is able to predict the statistics of merger trees with a typical accuracy of 20 per cent. Its validity extends to higher-order moments of the distribution of progenitors. The agreement is also valid at the object-byobject level, with 70 ‐ 90 per cent of the progenitors cleanly recognized when the parent halo is cleanly recognized itself. Predictions are also presented for quantities that are usually not reproduced by semi-analytic codes, such as the two-point correlation function of the progenitors of massive haloes and the distribution of initial orbital parameters of merging haloes. For the accuracy of the prediction and for the facility with which merger histories are produced, PINOCCHIO provides a means to generate catalogues of DM haloes, which is extremely competitive with large-scale N-body simulations, making it a suitable tool for galaxy formation and large-scale structure studies.