Asteroseismology of old open clusters with Kepler: direct estimate of the integrated RGB mass loss in NGC6791 and NGC6819
A. Miglio, K. Brogaard, D. Stello, W. J. Chaplin, F. D'Antona, J., Montalban, S. Basu, A. Bressan, F. Grundahl, M. Pinsonneault, A. M., Serenelli, Y. Elsworth, S. Hekker, T. Kallinger, B. Mosser, P. Ventura, A., Bonanno, A. Noels, V. Silva-Aguirre, R. Szabo, J. Li, S. McCauliff

TL;DR
This study uses Kepler data to measure stellar masses in old open clusters NGC6791 and NGC6819, providing direct estimates of RGB mass loss and constraining the mass-loss efficiency parameter.
Contribution
It offers the first direct measurement of RGB mass loss in these clusters using seismic data, refining the understanding of stellar evolution and mass-loss rates.
Findings
Small but significant mass difference between RGB and RC stars in NGC6791
Mass-loss efficiency parameter estimated between 0.1 and 0.3
Constraints on mass loss in NGC6819 are less stringent
Abstract
Mass loss of red giant branch (RGB) stars is still poorly determined, despite its crucial role in the chemical enrichment of galaxies. Thanks to the recent detection of solar-like oscillations in G-K giants in open clusters with Kepler, we can now directly determine stellar masses for a statistically significant sample of stars in the old open clusters NGC6791 and NGC6819. The aim of this work is to constrain the integrated RGB mass loss by comparing the average mass of stars in the red clump (RC) with that of stars in the low-luminosity portion of the RGB (i.e. stars with L <~ L(RC)). Stellar masses were determined by combining the available seismic parameters numax and Dnu with additional photometric constraints and with independent distance estimates. We measured the masses of 40 stars on the RGB and 19 in the RC of the old metal-rich cluster NGC6791. We find that the difference…
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.
