Dynamic atmosphere and wind models of C-type asymptotic giant branch stars

IF 5.4 2区 物理与天体物理 Q1 ASTRONOMY & ASTROPHYSICS
E. Siderud, K. Eriksson, S. Höfner, S. Bladh
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引用次数: 0

Abstract

Context. Mass loss through stellar winds governs the evolution of stars on the asymptotic giant branch (AGB). In the case of carbonrich AGB stars, the wind is believed to be driven by radiation pressure on amorphous carbon (amC) dust forming in the atmosphere. The structural complexity of amC is evident from the diversity of laboratory optical data that are available in the literature. Consequently, the choice of dust optical data will have a significant impact on atmosphere and wind models of AGB stars.Aims.We compare two commonly used optical data sets of amC and investigate how the wind characteristics and photometric properties resulting from dynamical models of carbon-rich AGB stars are influenced by the micro-physical properties of dust grains.Methods. We computed two extensive grids of carbon star atmosphere and wind models with the DARWIN 1D radiation-hydrodynamical code. A defining feature of these models is a self-regulating feedback between the time-dependent dynamics, grain growth, and dust optical properties. Thus, they are able to predict combinations of mass-loss rates, wind velocities, and grain sizes for given stellar parameters and micro-physical data. Each of the two grids uses a different amC optical data set. The stellar parameters of the models were varied in terms of the effective temperature, luminosity, stellar mass, carbon excess, and pulsation amplitude to cover a wide range of possible combinations. A posteriori radiative transfer calculations were performed for a sub-set of the models, resulting in photometric fluxes and colours.Results. We find small, but systematic differences in the predicted mass-loss rates for the two grids. The grain sizes and photometric properties are affected by the different dust optical data sets. Higher absorption efficiency leads to the formation of a greater number of grains, which are smaller. Models that are obscured by dust exhibit differences in terms of the covered colour range compared to observations, depending on the dust optical data used.Conclusions. An important motivation for this study was to investigate how strongly the predicted mass-loss rates depend on the choice of dust optical data, as these mass-loss values are more frequently used in stellar evolution models. Based on the current results, we conclude that mass-loss rates may typically differ by about a factor of two for DARWIN models of C-type AGB stars for commonly used dust optical data sets.
c型渐近巨星分支星的动态大气和风模型
上下文。恒星风造成的质量损失支配着渐近巨星分支(AGB)上恒星的演化。在富含碳的AGB恒星中,风被认为是由大气中形成的无定形碳(amC)尘埃的辐射压力驱动的。从文献中可用的实验室光学数据的多样性可以明显看出amC的结构复杂性。因此,尘埃光学数据的选择将对AGB恒星的大气和风模型产生重大影响。目的:通过比较两种常用的amC光学数据集,研究由富碳AGB恒星动力学模型得到的风特征和光度特性如何受到尘埃颗粒微物理特性的影响。我们用DARWIN 1D辐射-流体力学代码计算了两个碳星大气和风模型的广泛网格。这些模型的一个定义特征是在随时间变化的动力学、颗粒生长和粉尘光学特性之间的自调节反馈。因此,他们能够根据给定的恒星参数和微观物理数据预测质量损失率、风速和颗粒大小的组合。两个网格中的每一个都使用不同的amC光学数据集。模型的恒星参数在有效温度、光度、恒星质量、碳过剩和脉动幅度方面变化,以涵盖广泛的可能组合。对模型的一个子集进行了事后辐射转移计算,得出了光度通量和颜色。我们发现两种电网的预测质量损失率存在很小但系统的差异。不同的尘埃光学数据集对颗粒大小和光度特性有影响。吸收效率越高,形成的晶粒数量越多,晶粒尺寸越小。与观测结果相比,被尘埃遮挡的模型在覆盖的颜色范围方面表现出差异,这取决于所使用的尘埃光学数据。这项研究的一个重要动机是调查预测的质量损失率在多大程度上取决于尘埃光学数据的选择,因为这些质量损失值更常用于恒星演化模型。基于目前的结果,我们得出结论,对于常用的尘埃光学数据集,c型AGB星的DARWIN模型的质量损失率通常可能相差约2倍。
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来源期刊
Astronomy & Astrophysics
Astronomy & Astrophysics 地学天文-天文与天体物理
CiteScore
10.20
自引率
27.70%
发文量
2105
审稿时长
1-2 weeks
期刊介绍: Astronomy & Astrophysics is an international Journal that publishes papers on all aspects of astronomy and astrophysics (theoretical, observational, and instrumental) independently of the techniques used to obtain the results.
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