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RGB mass loss: inferences from CMD-fitting and asteroseismology

Published online by Cambridge University Press:  30 November 2022

Marco Tailo*
Affiliation:
Dipartimento di Fisica e Astronomia Augusto Righi, Università degli Studi di Bologna, Via Gobetti 93/2, I-40129 Bologna, Italy email: [email protected], [email protected]
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Abstract

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The amount of mass lost by stars during the red-giant branch (RGB) phase is one of the main parameters needed to fully understand later stages of stellar evolution. In spite of its importance, a fully-comprehensive physical understanding of this phenomenon is still missing, and we, mostly, rely on empirical formulations. The Galactic Globular Clusters are ideal targets to derive such formulations, but, until recently, the presence of multiple populations has been a major challenge.

We will discuss the insights on RGB mass loss that can be obtained from the study of the horizontal branch stars in such stellar associations. The estimates obtained via the study of the photometric data will be compared with recent and newly obtained estimates derived for few high metallicity open clusters and a large sample of field stars with asteroseismic techniques.

Type
Contributed Paper
Copyright
© The Author(s), 2022. Published by Cambridge University Press on behalf of International Astronomical Union

References

Abolfathi, B., Aguado, D. S., Aguilar, G., Allende Prieto, C., Almeida, A., Ananna, T. T., Anders, F., et al., 2018, ApJS, 235, 42. doi: 10.3847/1538-4365/aa9e8a CrossRefGoogle Scholar
Aerts, C., 2021, RvMP, 93, 015001. doi: 10.1103/RevModPhys.93.015001 CrossRefGoogle Scholar
Bastian, N., Lardo, C., 2018, ARA&A, 56, 83. doi: 10.1146/annurev-astro-081817-051839 Google Scholar
Chaplin, W. J., Miglio, A., 2013, ARA&A, 51, 353. doi: 10.1146/annurev-astro-082812-140938 Google Scholar
D’Antona, F., Caloi, V., Montalbán, J., Ventura, P., Gratton, R., 2002, A&A, 395, 69. doi: 10.1051/0004-6361:20021220 Google Scholar
Denissenkov, P. A., VandenBerg, D. A., Kopacki, G., Ferguson, J. W., 2017, ApJ, 849, 159. doi: 10.3847/1538-4357/aa92c9 CrossRefGoogle Scholar
Girardi, L., 2016, ARA&A, 54, 95. doi: 10.1146/annurev-astro-081915-023354 Google Scholar
Gratton, R. G., Carretta, E., Bragaglia, A., Lucatello, S., D’Orazi, V., 2010, A&A, 517, A81. doi: 10.1051/0004-6361/200912572 Google Scholar
Handberg, R., Brogaard, K., Miglio, A., Bossini, D., Elsworth, Y., Slumstrup, D., Davies, G. R., et al., 2017, MNRAS, 472, 979. doi: 10.1093/mnras/stx1929 CrossRefGoogle Scholar
Marino, A. F., Villanova, S., Piotto, G., Milone, A. P., Momany, Y., Bedin, L. R., Medling, A. M., 2008, A&A, 490, 625. doi: 10.1051/0004-6361:200810389 Google Scholar
Marino, A. F., Villanova, S., Milone, A. P., Piotto, G., Lind, K., Geisler, D., Stetson, P. B., 2011, ApJL, 730, L16. doi: 10.1088/2041-8205/730/2/L16 CrossRefGoogle Scholar
Marino, A. F., Milone, A. P., Renzini, A., D’Antona, F., Anderson, J., Bedin, L. R., Bellini, A., et al., 2019, MNRAS, 487, 3815. doi: 10.1093/mnras/stz1415 CrossRefGoogle Scholar
McDonald, I., Zijlstra, A. A., 2015, MNRAS, 448, 502. doi: 10.1093/mnras/stv007 CrossRefGoogle Scholar
Miglio, A., Brogaard, K., Stello, D., Chaplin, W. J., D’Antona, F., Montalbán, J., Basu, S., et al., 2012, MNRAS, 419, 2077. doi: 10.1111/j.1365-2966.2011.19859.x CrossRefGoogle Scholar
Miglio, A., Chiappini, C., Mackereth, J. T., Davies, G. R., Brogaard, K., Casagrande, L., Chaplin, W. J., et al., 2021, A&A, 645, A85. doi: 10.1051/0004-6361/202038307 Google Scholar
Milone, A. P., Piotto, G., Renzini, A., Marino, A. F., Bedin, L. R., Vesperini, E., D’Antona, F., et al., 2017, MNRAS, 464, 3636. doi: 10.1093/mnras/stw2531 CrossRefGoogle Scholar
Milone, A. P., Marino, A. F., Renzini, A., D’Antona, F., Anderson, J., Barbuy, B., Bedin, L. R., et al., 2018, MNRAS, 481, 5098. doi: 10.1093/mnras/sty2573 CrossRefGoogle Scholar
Origlia, L., Ferraro, F. R., Fabbri, S., Fusi Pecci, F., Dalessandro, E., Rich, R. M., Valenti, E., 2014, A&A, 564, A136. doi: 10.1051/0004-6361/201423617 Google Scholar
Reimers, D., 1975, MSRSL, 8, 369 Google Scholar
Renzini, A., D’Antona, F., Cassisi, S., King, I. R., Milone, A. P., Ventura, P., Anderson, J., et al., 2015, MNRAS, 454, 4197. doi: 10.1093/mnras/stv2268 CrossRefGoogle Scholar
Salaris, M., de Boer, T., Tolstoy, E., Fiorentino, G., Cassisi, S., 2013, A&A, 559, A57. doi: 10.1051/0004-6361/201322501 Google Scholar
Savino, A., Tolstoy, E., Salaris, M., Monelli, M., de Boer, T. J. L., 2019, A&A, 630, A116. doi: 10.1051/0004-6361/201936077 Google Scholar
Serenelli, A., Weiss, A., Cassisi, S., Salaris, M., Pietrinferni, A., 2017, A&A, 606, A33. doi: 10.1051/0004-6361/201731004 Google Scholar
Stello, D., Vanderburg, A., Casagrande, L., Gilliland, R., Silva Aguirre, V., Sandquist, E., Leiner, E., et al., 2016, ApJ, 832, 133. doi: 10.3847/0004-637X/832/2/133 CrossRefGoogle Scholar
Tailo, M., Milone, A. P., Lagioia, E. P., D’Antona, F., Jang, S., Vesperini, E., Marino, A. F., et al., 2021, MNRAS, 503, 694. doi: 10.1093/mnras/stab568 CrossRefGoogle Scholar
Tailo, M., Milone, A. P., Lagioia, E. P., D’Antona, F., Marino, A. F., Vesperini, E., Caloi, V., et al., 2020, MNRAS, 498, 5745. doi: 10.1093/mnras/staa2639 CrossRefGoogle Scholar
VandenBerg, D. A., Denissenkov, P. A., 2018, ApJ, 862, 72. doi: 10.3847/1538-4357/aaca9b CrossRefGoogle Scholar
VandenBerg, D. A., Denissenkov, P. A., Catelan, M., 2016, ApJ, 827, 2. doi: 10.3847/0004-637X/827/1/2 CrossRefGoogle Scholar