Stellar population synthesis based modelling of the Milky Way using asteroseismology of 13000 Kepler red giants
Sanjib Sharma, Dennis Stello, Joss Bland-Hawthorn, Daniel Huber,, Timothy R. Bedding

TL;DR
This study uses asteroseismic data from Kepler red giants to evaluate and improve Galactic population synthesis models, revealing systematic discrepancies and the need for revisions in scaling relations or models.
Contribution
It provides a detailed comparison between asteroseismic observations and Galactic models, proposing corrections to scaling relations to improve model accuracy.
Findings
Systematic offset between predicted and observed stellar masses.
Corrections to the $ riangle u$ scaling relation reduce discrepancies.
Galaxia overestimates low-mass, old, low-metallicity stars.
Abstract
With current space-based missions it is now possible to obtain age-sensitive asteroseismic information for tens of thousands of red giants. This provides a promising opportunity to study the Galactic structure and evolution. We use asteroseismic data of red giants, observed by Kepler, to test the current theoretical framework of modelling the Galaxy based on population synthesis modeling and the use of asteroseismic scaling relations for giants. We use the open source code Galaxia to model the Milky Way and find the distribution of the masses predicted by Galaxia to be systematically offset with respect to the seismically-inferred observed masses. The Galactic model overestimates the number of low mass stars, and these stars are predominantly old and of low metallicity. Using corrections to the scaling relation suggested by stellar models (available for download)…
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