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A unified model for age-velocity dispersion relations in Local Group galaxies: Disentangling ISM turbulence and latent dynamical heating

机译:局部群星系中年龄-速度色散关系的统一模型:解开ISM湍流和潜在动力加热

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摘要

We analyze age-velocity dispersion relations (AVRs) from kinematics of individual stars in eight Local Group galaxies ranging in mass from Carina ($M_{*} sim 10^{6}$) to M31 ($M_{*} sim 10^{11}$). Observationally the $sigma$ vs. stellar age trends can be interpreted as dynamical heating of the stars by GMCs, bars/spiral arms, or merging subhalos; alternatively the stars could have simply been born out of a more turbulent ISM at high redshift and retain that larger velocity dispersion till present day - consistent with recent IFU studies. To ascertain the dominant mechanism and better understand the impact of instabilities and feedback, we develop models based on observed SFHs of these Local Group galaxies in order to create an evolutionary formalism which describes the ISM velocity dispersion due to a galaxy's evolving gas fraction. These empirical models relax the common assumption that the stars are born from gas which has constant velocity dispersion at all redshifts. Using only the observed SFHs as input, the ISM velocity dispersion and a mid-plane scattering model fits the observed AVRs of low mass galaxies without fine tuning. Higher mass galaxies above $M_{vir} > 10^{11}$ need a larger contribution from latent dynamical heating processes (for example minor mergers), in excess of the ISM model. Using the SFHs we also find that supernovae feedback does not appear to be a dominant driver of the gas velocity dispersion compared to gravitational instabilities - at least for dispersions $sigma gtrsim 25$ km/s. Together our results point to stars being born with a velocity dispersion close to that of the gas at the time of their formation, with latent dynamical heating operating with a galaxy mass-dependent efficiency. These semi-empirical relations may help constrain the efficiency of feedback and its impact on the physics of disk settling in galaxy formation simulations.
机译:我们从质量从Carina($ M _ {*} sim 10 ^ {6} $)到M31($ M _ {*} sim的八个局域星系的单个恒星运动学分析年龄-速度色散关系(AVR) 10 ^ {11} $)。从观测上看, sigma与恒星年龄的趋势可以解释为GMC,条/螺旋臂或合并的暗晕对恒星的动态加热。另外,这些恒星可能只是在更高的红移条件下从更湍流的ISM中诞生而来,并保持了更大的速度散布直到今天-与最近的IFU研究一致。为了确定主导机制并更好地理解不稳定性和反馈的影响,我们基于观察到的这些本地群星系的SFH来开发模型,以创建描述因星系不断演化的气体分数引起的ISM速度色散的演化形式。这些经验模型放松了一个普遍的假设,即恒星是由气体产生的,气体在所有红移过程中都具有恒定的速度弥散。仅使用观测到的SFH作为输入,ISM速度色散和中平面散射模型就可以拟合出观测到的低质量星系的AVR,而无需进行微调。 $ M_ {vir}> 10 ^ {11} $以上的更高质量的星系需要潜在的动态加热过程(例如较小的合并)做出更大的贡献,这要超过ISM模型。使用SFH,我们还发现与重力不稳定性相比,超新星反馈似乎不是气体速度弥散的主要驱动力-至少对于弥散$ sigma gtrsim 25 $ km / s。我们的研究结果共同表明,恒星诞生时的速度弥散度接近气体形成时的速度弥散度,而潜在的动态加热作用取决于银河系的质量。这些半经验关系可能有助于限制反馈的效率及其对星系形成模拟中磁盘沉降物理学的影响。

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