Theoretical investigation on the mass loss impact on asteroseismic grid-based estimates of mass, radius, and age for RGB stars
G. Valle, M. Dell'Omodarme, P.G. Prada Moroni, S. Degl'Innocenti

TL;DR
This study theoretically evaluates how uncertainties in stellar mass loss affect asteroseismic estimates of mass, radius, and age for RGB stars, finding minimal bias before the RGB bump and quantifying errors in later phases.
Contribution
It provides a detailed analysis of the impact of mass loss assumptions on asteroseismic parameter estimates for RGB stars, highlighting phases where biases are significant.
Findings
Biases are minor before the RGB bump.
Errors increase in the last 2.5% of RGB lifetime.
Mass loss has limited impact on estimates before the RGB bump.
Abstract
We aim to perform a theoretical evaluation of the impact of the mass loss indetermination on asteroseismic grid based estimates of masses, radii, and ages of stars in the red giant branch phase (RGB). We adopted the SCEPtER pipeline on a grid spanning the mass range [0.8; 1.8] Msun. As observational constraints, we adopted the star effective temperatures, the metallicity [Fe/H], the average large frequency spacing and the frequency of maximum oscillation power . The mass loss was modelled following a Reimers parametrization with the two different efficiencies and . In the RGB phase, the average error owing only to observational uncertainty on mass and age estimates is about 8% and 30% respectively. The bias in mass and age estimates caused by the adoption of a wrong mass loss parameter in the recovery is minor for the vast majority…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
