Cabral Nahuel, N. Lagarde, C. Reyl'e, A. Guilbert-Lepoutre, A. Robin
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引用次数: 1
摘要
在单一模型中连接恒星和行星的属性并不简单。恒星人口综合模型是探索恒星和行星观测的联合统计约束的关键。Besancon恒星群综合模型(Robin et al. 2003, Lagarde et al. 2017)现在包括用恒星演化代码STAREVOL计算的恒星演化轨迹(Lagarde et al. 2012, Amard et al. 2016)。它提供了54种化学物质的全局(M, R, Teff等)和化学性质。它可以研究银河系的不同星系群(光环、凸起、薄盘和厚盘),并进行具体的观测调查。在这里,我们将Besancon模型与一个简单的化学计量模型(Santos et al. 2017)结合起来,以确定行星构建块(PBB)的预期组成。我们研究了银河系不同恒星群中PBB预期化学丰度的趋势和相关性(Cabral et al. 2018)。
Chemical connections between low-mass stars and planets building blocks investigated by stellar population synthesis
Connecting star and planet properties in a single model is not straightforward. Stellar population synthesis models are key to explore combined statistical constraints from stars and planets observations. The Besancon stellar population synthesis model (Robin et al. 2003, Lagarde et al. 2017) includes now the stellar evolutionary tracks computed with the stellar evolution code STAREVOL (Lagarde et al. 2012, Amard et al. 2016). It provides the global (M, R, Teff, etc) and chemical properties of stars for 54 chemical species. It enables to study the different galactic populations of the Milky Way (the halo, the bulge, the thin and thick disc) and a specific observational survey. Here, we couple the Besancon model with a simple stoichiometric model (Santos et al. 2017) in order to determine the expected composition of the planet building blocks (PBB). We investigate the trends and correlations of the expected chemical abundances of PBB in the different stellar populations of the Milky Way (Cabral et al. 2018).