论文标题
长期变量的周期时代关系
The period-age relation of long-period variables
论文作者
论文摘要
经验证据表明,长期变量(LPV)的时期关系存在。然而,到目前为止,几乎没有以理论上的理由进行研究。我们旨在使用最近的非线性脉动计算的结果来检查周期年龄的关系。我们将同句模型与理论时期组合在一起,以模拟基本模式LPV脉动器的分布,其中包括MIRAS在时期平面中,并将其与银河系和麦哲伦云中LPV的观察结果进行了比较。与观察结果一致,模型预测,由于质量在塑造恒星结构和进化中的主要作用,基本模式周期随着年龄的增长而降低。在给定的年龄,该周期分布显示出不可忽略的宽度,除了年轻的C富含C型恒星外,偏向短期。结果,预测O富含O富含O和C的富含C的周期关系具有不同的斜率。我们得出了最佳拟合关系,将年龄和初始质量描述为O-和C丰富模型的基本模式时期的函数。该研究证实了与周期关系有关研究特定类型的LPV种群(O-Riph或c-rich)的力量。这样一来,建议不要将研究限制在MIRAS上,这将使它容易选择偏见,而是包括在基本模式下以主要脉动的半规则变量。另一方面,使用关系来研究单个LPV需要更多的护理,因为在任何给定年龄的时期分布中的分布中的分散。
Pieces of empirical evidence suggest the existence of a period-age relation for long-period variables (LPVs). Yet, this property has hardly been studied on theoretical grounds thus far. We aim to examine the period-age relation using the results from recent nonlinear pulsation calculations. We combined isochrone models with theoretical periods to simulate the distribution of fundamental mode LPV pulsators, which include Miras, in the period-age plane, and we compared it with observations of LPVs in Galactic and Magellanic Clouds' clusters. In agreement with observations, models predict that the fundamental mode period decreases with increasing age because of the dominant role of mass in shaping stellar structure and evolution. At a given age, the period distribution shows a non-negligible width and is skewed toward short periods, except for young C-rich stars. As a result, the period-age relations of O-rich and C-rich models are predicted to have different slopes. We derived best-fit relations describing age and initial mass as a function of the fundamental mode period for both O- and C-rich models. The study confirms the power of the period-age relations to study populations of LPVs of specific types, either O-rich or C-rich, on statistical grounds. In doing so, it is recommended not to limit a study to Miras, which would make it prone to selection biases, but rather to include semi-regular variables that pulsate predominantly in the fundamental mode. The use of the relations to study individual LPVs, on the other hand, requires more care given the scatter in the period distribution predicted at any given age.