论文标题
Fornax3D项目:从深度成像和整体场谱中的Fornax群集中大量早期型星系的组装历史
The Fornax3D project: The assembly history of massive early-type galaxies in the Fornax cluster from deep imaging and integral field spectroscopy
论文作者
论文摘要
这项工作基于使用非常大的望远镜(VLT)上的多单元光谱探索器(MUSE)获得的高质量积分光谱数据。观察到Fornax群集的病毒半径内的21个最亮($ M_B \ LEQ 15 $ MAG)的早期类型星系(ETGS)被观察到$ \ sim2-3 \ r _ {\ rm e} $的距离。 VLT调查望远镜(VST)的深度成像也可用于样品ETG。我们研究了星系结构特性的变化,这是总恒星质量和簇环境的函数。此外,我们将来自样品ETG的VST表面辐射分布的多组分分解与恒星运动特性的缪斯径向谱相关联。将结果与理论预测和先前的观察性研究进行了比较,并用于解决Fornax群集大规模ETG的组装历史。我们发现,集群的核心和南北团块中的星系,它们的质量分数最高,其郊区的金属梯度较温和的金属梯度,而不是进入集群中的星系。我们还发现属于核心和南北团块的星系与输入星系之间的年龄和金属性隔离。新发现非常适合Fornax群集组装历史的一般框架。
This work is based on high quality integral-field spectroscopic data obtained with the Multi Unit Spectroscopic Explorer (MUSE) on the Very Large Telescope (VLT). The 21 brightest ($m_B\leq 15$ mag) early-type galaxies (ETGs) inside the virial radius of the Fornax cluster are observed out to distances of $\sim2-3\ R_{\rm e}$. Deep imaging from the VLT Survey Telescope (VST) is also available for the sample ETGs. We investigate the variation of the galaxy structural properties as a function of the total stellar mass and cluster environment. Moreover, we correlate the size scales of the luminous components derived from a multi-component decomposition of the VST surface-brightness radial profiles of the sample ETGs with the MUSE radial profiles of stellar kinematic and population properties. The results are compared with both theoretical predictions and previous observational studies and used to address the assembly history of the massive ETGs of the Fornax cluster. We find that galaxies in the core and north-south clump of the cluster, which have the highest accreted mass fraction, show milder metallicity gradients in their outskirts than the galaxies infalling into the cluster. We also find a segregation in both age and metallicity between the galaxies belonging to the core and north-south clump and the infalling galaxies. The new findings fit well within the general framework for the assembly history of the Fornax cluster.