Astronomy and Astrophysics | 2019
Chemical composition of planet building blocks as predicted by stellar population synthesis
Abstract
Future space missions will improve considerably our understanding of the formation and history of planetary systems. Currently, observations show that the presence of planetary companions is closely linked to the metallicity and the chemical abundances of the host stars. We aim to build an integrated tool to predict the planet building blocks composition as a function of the stellar populations, for the interpretation of the ongoing and future large surveys. We synthesize stellar populations with the Besan\\c{c}on Galaxy model (BGM) which includes stellar evolutionary tracks computed with the stellar evolution code STAREVOL. We integrate to the BGM a simple stoichiometric model to determine the expected composition of the planet building blocks. We determine the expected PBB composition around FGK stars, for the four galactic populations within the Milky Way. Our solar neighborhood simulations are in good agreement with the recent results obtained with the HARPS survey for f_iron, f_w and the heavy mass fraction f_Z. We present evidence of the clear dependence of f_iron and f_w with the initial alpha abundances [\\alpha/Fe] of the host star. We find that the different initial [\\alpha/Fe] distributions in the different galactic populations lead to a bimodal distribution of PBB composition and to an iron/water valley separating PBB with high and low iron/water mass fractions. We linked host star abundances and expected PBB composition in an integrated model of the Galaxy. Derived trends are an important step for statistical analyses of expected planet properties. In particular, internal structure models may use these results to derive statistical trends of rocky planets properties, constrain habitability and prepare interpretation of on-going and future large scale surveys of exoplanet search.