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arXiv 1903.10550astro-ph.SR
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恒星模型和从低质量到大质量恒星的等时线,包括具有吸积的前主序星相位

Stellar models and isochrones from low-mass to massive stars including pre-main sequence phase with accretion

L. Haemmerlé, P. Eggenberger, S. Ekström, C. Georgy, G. Meynet, A. Postel, M. Audard, M. Sørensen, T. Fragos

摘要:

恒星模型网格是导出星团,特别是拥有大质量恒星的年轻星团的性质,以及提供各种质量范围内恒星形成过程的信息的有用工具。由于它们的演化时间尺度很短,大质量恒星结束了它们的生命,而它们的低质量兄弟姐妹仍然处于主序前(pre-MS)阶段。因此,年轻星团的研究需要对恒星演化的所有阶段进行一致的考虑。但是,尽管在文献中有大量的网格,一个网格占前MS吸积阶段后MS阶段在整个恒星质量范围内的演变仍然缺乏。我们建立了一个太阳金属丰度为0.8 $M_\odot$到120 $M_\odot$的恒星模型网格,包括前MS阶段的吸积。我们使用{ \sc genec}代码在这个质量范围内运行恒星模型。吸积定律的选择,以配合前MS对象的赫兹-罗素图上的观察。我们描述了我们的模型的演化轨迹和等时线。网格连接到以前的MS和MS后网格计算相同的数值方法和物理假设,这提供了最广泛的网格的质量和年龄的日期。我们的模型和相应的等时线的数值表可在线获得。

英文摘要:

Grids of stellar models are useful tools to derive the properties of stellar clusters, in particular young clusters hosting massive stars, and to provide information on the star formation process in various mass ranges. Because of their short evolutionary timescale, massive stars end their life while their low-mass siblings are still on the pre-main sequence (pre-MS) phase. Thus the study of young clusters requires consistent consideration of all the phases of stellar evolution. But despite the large number of grids that are available in the literature, a grid accounting for the evolution from the pre-MS accretion phase to the post-MS phase in the whole stellar mass range is still lacking. We build a grid of stellar models at solar metallicity with masses from 0.8 $M_\odot$ to 120 $M_\odot$, including pre-MS phase with accretion. We use the {\sc genec} code to run stellar models on this mass range. The accretion law is chosen to match the observations of pre-MS objects on the Hertzsprung-Russell diagram. We describe the evolutionary tracks and isochrones of our models. The grid is connected to previous MS and post-MS grids computed with the same numerical method and physical assumptions, which provides the widest grid in mass and age to date. Numerical tables of our models and corresponding isochrones are available online.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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