# Chemical connections between low-mass stars and planets building blocks investigated by stellar population synthesis

## TL;DR

This paper integrates stellar population synthesis with a chemical model to predict the composition of planet building blocks across different Milky Way stellar populations.

## Contribution

It combines the Besançon stellar population model with a stoichiometric model to analyze chemical compositions of planet building blocks in various galactic populations.

## Key findings

- Chemical abundances of PBB vary across galactic populations.
- Correlations between stellar properties and PBB composition identified.
- Model provides statistical constraints for star-planet property studies.

## Abstract

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 Besan\c{c}on 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 Besan\c{c}on 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).