Star formation and chemical evolution in smoothed particle hydrodynamics simulations: a statistical approach

Star formation and chemical evolution in smoothed particle hydrodynamics simulations: a statistical approach
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平滑粒子流体动力学模拟中的恒星形成和化学演化:统计方法

DOI:
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发表时间:
2001
期刊:
影响因子:
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通讯作者:
G. Carraro
G. Carraro
中科院分区:
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文献类型:
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作者:
C. Lia;C. Lia;L. Portinari;G. Carraro

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在含有大量粒子的光滑粒子流体力学(SPH)程序中,恒星的形成以及垂死恒星的气体和金属恢复可以进行统计处理。这种方法使人们能够以较小的计算工作量包括详细的化学演化和气体再喷射。本文报道了一种新的恒星形成和化学演化的统计算法,特别适用于大量粒子的SPH模拟和并行SPH编码。为了说明起见,我们还给出了用该算法得到的两个天体物理模拟结果,并由Lia和Carraro在Tree-SPH代码中实现。在第一个模拟中,我们跟踪单个盘状星系的形成,预测最终的结构和金属丰度的演化,并测试分辨率效应。在第二个模拟中,我们模拟了一个星系团的形成和演化,以展示该算法在宇宙学背景下研究星系和星际介质的化学动力学演化的能力。
In smoothed particle hydrodynamics (SPH) codes with a large number of particles, star formation as well as gas and metal restitution from dying stars can be treated statistically. This approach allows one to include detailed chemical evolution and gas re-ejection with minor computational effort. Here we report on a new statistical algorithm for star formation and chemical evolution, especially conceived for SPH simulations with large numbers of particles, and for parallel SPH codes. For the sake of illustration, we also present two astrophysical simulations obtained with this algorithm, implemented into the Tree-SPH code by Lia & Carraro. In the first simulation, we follow the formation of an individual disc-like galaxy, predict the final structure and metallicity evolution, and test resolution effects. In the second simulation we simulate the formation and evolution of a cluster of galaxies, to demonstrate the capabilities of the algorithm in investigating the chemo-dynamical evolution of galaxies and of the intergalactic medium in a cosmological context.