论文标题

缪斯(Muse

MUSE sneaks a peek at extreme ram-pressure stripping events -- V. Towards a complete view of the galaxy cluster A1367

论文作者

Pedrini, Alex, Fossati, Matteo, Gavazzi, Giuseppe, Fumagalli, Michele, Boselli, Alessandro, Consolandi, Guido, Sun, Ming, Yagi, Masafumi, Yoshida, Michitoshi

论文摘要

我们对在A1367群集中的七个恒星形成星系以及诺玛集群中的星系ESO137-001组成的样品中进行了分析。还介绍了该样本中两个新星系的观察结果,即CGCG097-073和CGCG097-079。该样品的特征是与Muse的均匀积分田间光谱,以及基于电离气尾的存在的一致选择。与在不受干扰的星系磁盘中观察到的比率[OI]/H $α$在这些物体的尾部始终升高,这是一种无处不在的特征,我们将其归因于剥离的气体中的冲击或湍流现象。仅在$ \ $ 50%的尾巴中观察到紧凑的星形区域,这意味着需要特定的(当前未知)条件来触发剥离的气体内的恒星形成。着眼于星际介质和簇内培养基之间的界面区域,我们观察到不同的线比,我们将其关联到剥离过程的不同阶段,并且在扰动的早期阶段星系显示出更为突出的恒星形成的特征。因此,我们的分析证明了一个精选和均匀样本的功能,可以推断出由局部簇内部的RAM压力剥离引起的一般特性。

We present an analysis of the kinematics and ionization conditions in a sample composed of seven star-forming galaxies undergoing ram-pressure stripping in the A1367 cluster, and the galaxy ESO137-001 in the Norma cluster. MUSE observations of two new galaxies in this sample, CGCG097-073 and CGCG097-079, are also presented. This sample is characterized by homogeneous integral field spectroscopy with MUSE and by a consistent selection based on the presence of ionised gas tails. The ratio [OI]/H$α$ is consistently elevated in the tails of these objects compared to what observed in unperturbed galaxy disks, an ubiquitous feature which we attribute to shocks or turbulent phenomena in the stripped gas. Compact star-forming regions are observed in only $\approx$ 50% of the tails, implying that specific (currently unknown) conditions are needed to trigger star formation inside the stripped gas. Focusing on the interface regions between the interstellar and intracluster medium, we observe different line ratios that we associate to different stages of the stripping process, with galaxies at an early stage of perturbation showing more prominent signatures of elevated star formation. Our analysis thus demonstrates the power of a well selected and homogeneous sample to infer general properties arising from ram-pressure stripping inside local clusters.

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