论文标题

Galaxy簇的Dianoga模拟:在原始群体中表征恒星形成

The DIANOGA simulations of galaxy clusters: characterizing star formation in proto-clusters

论文作者

Bassini, L., Rasia, E., Borgani, S., Granato, G. L., Ragone-Figueroa, C., Biffi, V., Ragagnin, A., Dolag, K., Lin, W., Murante, G., Napolitano, N. R., Taffoni, G., Tornatore, L., Wang, Y.

论文摘要

我们研究了红移范围内星系(原始)簇的宇宙学水动力学模拟$ 0 <z <4 $,将它们与最近的观察性研究进行了比较;我们还研究了改变星形模型参数对SFR,恒星形成效率和气体分数等星系性能的影响。我们分析了一组以十二个簇为中心的Zoom-In宇宙流体动力学模拟。使用Gadget-3 Treepm/SPH代码进行模拟,该代码包括各种子网格模型,以治疗未解决的Baryonic Physics,包括AGN反馈。模拟不会重现原始群体内观察到的SFR的高值,在Prodoclusters内​​核中,SFR的值被因子$ \ gtrsim 4 $均在$ z \ sim2 $和$ z \ sim 4 $中供电。由于模拟无法再现观察到的星爆数量,并且以$ z \ sim 2 $的变化而产生差异,因为模拟低估了恒星形成星系的主要序列的归一化(即恒星质量和SFR之间的相关性)乘以$ \ sim 3 $。由于主要序列的低归一化似乎是由于低估的气体分数所驱动的,因此尚不清楚数值模拟是否由于预测的气体分数过低还是恒星形成效率太低而导致的Starburst星系是否会错过Starburst星系。我们的结果在改变星形subgrid模型的几个参数方面是稳定的,并且不取决于AGN反馈的细节。

We studied the star formation rate (SFR) in cosmological hydrodynamical simulations of galaxy (proto-)clusters in the redshift range $0<z<4$, comparing them to recent observational studies; we also investigated the effect of varying the parameters of the star formation model on galaxy properties such as SFR, star-formation efficiency, and gas fraction. We analyze a set of zoom-in cosmological hydrodynamical simulations centred on twelve clusters. The simulations are carried out with the GADGET-3 TreePM/SPH code which includes various subgrid models to treat unresolved baryonic physics, including AGN feedback. Simulations do not reproduce the high values of SFR observed within protoclusters cores, where the values of SFR are underpredicted by a factor $\gtrsim 4$ both at $z\sim2$ and $z\sim 4$. The difference arises as simulations are unable to reproduce the observed starburst population and is worsened at $z\sim 2$ because simulations underpredict the normalization of the main sequence of star forming galaxies (i.e., the correlation between stellar mass and SFR) by a factor of $\sim 3$. As the low normalization of the main sequence seems to be driven by an underestimated gas fraction, it remains unclear whether numerical simulations miss starburst galaxies due to a too low predicted gas fractions or too low star formation efficiencies. Our results are stable against varying several parameters of the star formation subgrid model and do not depend on the details of the AGN feedback.

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