Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-25T16:44:29.606Z Has data issue: false hasContentIssue false

Ensemble evolutionary studies of white dwarfs in open star clusters

Published online by Cambridge University Press:  09 October 2020

Kurtis A Williams*
Affiliation:
Department of Physics & Astronomy, Texas A&M University-Commerce P.O. Box 3011, Commerce, TX, 75402, USA email: [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

White dwarfs (WDs) in open star clusters are a highly useful ensemble of stars. While numerous researchers use open cluster WDs to study the initial-final mass relation, numerous other evolutionary studies are also enabled by this sample of stars, including searches for stochastic mass loss, studies of binary star evolution, and measurements of metallicity impacts on WD formation and evolution. However, it is crucial to use astrometric data such as proper motions to remove contaminating field WDs from open cluster samples; multi-epoch ground based imaging is needed for most open cluster WDs. Also, the strongly correlated errors in the initial mass - final mass plane must be considered; we illustrate the importance of this consideration using a large open cluster WD sample and Monte Carlo techniques.

Type
Contributed Papers
Copyright
© International Astronomical Union 2020

References

Canton, P. 2018, Ph.D. ThesisGoogle Scholar
Catalán, S., Isern, J., García-Berro, E., & Ribas, I. 2008, MNRAS, 387, 169310.1111/j.1365-2966.2008.13356.xCrossRefGoogle Scholar
Cummings, J. D., Kalirai, J. S., Tremblay, P.-E., Ramirez-Ruiz, E., & Choi, J., 2018, ApJ, 866, 2110.3847/1538-4357/aadfd6CrossRefGoogle Scholar
Dias, W. S., Lépine, J. R. D., & Alessi, B. S. 2001, A&A, 376, 441Google Scholar
Kalirai, J. S., Bergeron, P., Hansen, B. M. S., Kelson, D. D., Reitzel, D. B., Rich, R. M., & Richer, H. B. 2007, ApJ, 671, 74810.1086/521922CrossRefGoogle Scholar
Robin, A. C., Reylé, C., Derrière, S., & Picaud, S. 2003, A&A, 409, 523Google Scholar
Salaris, M., Serenelli, A., Weiss, A., & Miller Bertolami, M. 2009, ApJ, 692, 101310.1088/0004-637X/692/2/1013CrossRefGoogle Scholar
Si, S., van Dyk, D. A., von Hippel, T., et al. 2018, mnras, 480, 130010.1093/mnras/sty1913CrossRefGoogle Scholar
Weidemann, V. 1977, A&A, 59, 411Google Scholar
Williams, K. A., Bolte, M., & Koester, D. 2009, ApJ, 693, 35510.1088/0004-637X/693/1/355CrossRefGoogle Scholar
Williams, K. A., Canton, P. A., Bellini, A., Bolte, M., Rubin, K. H. R., Gianninas, A., & Kilic, M. 2013, ApJ, 867, 6210.3847/1538-4357/aad90bCrossRefGoogle Scholar
Williams, K. A., Canton, P. A., Bellini, A., Bolte, M., Rubin, K. H. R., Gianninas, A., & Kilic, M. 2018, ApJ, 867, 6210.3847/1538-4357/aad90bCrossRefGoogle Scholar