Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-23T23:19:49.068Z Has data issue: false hasContentIssue false

Kinematic trends in young and old stars

Published online by Cambridge University Press:  02 August 2018

Jennifer Wojno
Affiliation:
Leibniz Institut für Astrophysik Potsdam, Potsdam, Germany
Georges Kordopatis
Affiliation:
Laboratoire Lagrange, Université Côte d’Azur, Observatoire de la Côte d’Azur, Nice, France
Matthias Steinmetz
Affiliation:
Leibniz Institut für Astrophysik Potsdam, Potsdam, Germany
Paul J. McMillan
Affiliation:
Lund Observatory, Lund University, Lund, Sweden
the RAVE collaboration
Affiliation:
Leibniz Institut für Astrophysik Potsdam, Potsdam, Germany Laboratoire Lagrange, Université Côte d’Azur, Observatoire de la Côte d’Azur, Nice, France Lund Observatory, Lund University, Lund, Sweden
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.

Using RAVE DR5, we explore the age, kinematic, and chemical correlations of a sample of  30,000 FGK stars. We separate a sample of turnoff stars into two age groups: young and old. For each of the two age groups, we calculate kinematic trends as a function of Galactocentric radius (R), for different metallicity ([Fe/H]) bins. For both young and old stars, we measure a negative gradient in ∂〈VR〉/∂R. In addition, for young stars we find a correlation between the magnitude of the slope and metallicity, with the most metal-rich bins having the steepest gradient and the most metal-poor bins having a flatter trend.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2018 

References

Siebert, A., Famaey, B., Minchev, I., et al. 2011, MNRAS, 412, 2026Google Scholar
Siebert, A., Famaey, B., Binney, J., et al. 2012, MNRAS, 425, 2335Google Scholar
Faure, C., Siebert, A., & Famaey, B., 2014, MNRAS, 440, 2564Google Scholar
Kunder, A., Kordopatis, G., Steinmetz, M., et al. 2017, AJ, 153, 75Google Scholar
McMillan, P. J., Kordopatis, G., Kunder, A., et al. 2017, arXiv:1707.04554Google Scholar
Monari, G., Helmi, A., Antoja, T., & Steinmetz, M., 2014, A&A, 569, A69Google Scholar
Monari, G., Famaey, B., Siebert, A., et al. 2016, MNRAS, 461, 3835Google Scholar
Sharma, S., Bland-Hawthorn, J., Johnston, K. V., & Binney, J., 2011, ApJ, 730, 3Google Scholar
Steinmetz, M., Zwitter, T., Siebert, A., et al. 2006, AJ, 132, 1645Google Scholar
Williams, M. E. K., Steinmetz, M., Binney, J., et al. 2013, MNRAS, 436, 101Google Scholar