2018
DOI: 10.1093/mnras/sty119
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A method to estimate stellar ages from kinematical data

Abstract: We present a method to build a probability density function (pdf) for the age of a star based on its peculiar velocities U, V and W and its orbital eccentricity. The sample used in this work comes from the Geneva-Copenhagen Survey (GCS) which contains both the spatial velocities, orbital eccentricities and isochronal ages for about 14 000 stars. Using the GCS stars, we fitted the parameters that describe the relations between the distributions of kinematical properties and age. This parametrization allows us t… Show more

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Cited by 21 publications
(5 citation statements)
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“…As stars age there is an increasing probability of kinematic disturbances as they orbit the Galactic centre that results in an overall increase in stellar Galactic velocity and the velocity dispersion of stars in general [142][143][144]. Therefore, it is possible to estimate the age of a star based on its kinematics alone [145,146]. This is especially useful for stars, such as M-dwarfs, in which it is difficult to derive isochronal, gyrochronological, chemical, or astroseismological age values.…”
Section: Radius Mass and Agementioning
confidence: 99%
See 1 more Smart Citation
“…As stars age there is an increasing probability of kinematic disturbances as they orbit the Galactic centre that results in an overall increase in stellar Galactic velocity and the velocity dispersion of stars in general [142][143][144]. Therefore, it is possible to estimate the age of a star based on its kinematics alone [145,146]. This is especially useful for stars, such as M-dwarfs, in which it is difficult to derive isochronal, gyrochronological, chemical, or astroseismological age values.…”
Section: Radius Mass and Agementioning
confidence: 99%
“…We utilise The LHS 1903 planetary system the methodology of ref. [146] that allows for age estimates based on kinematic-age probability distributions that were formalised and bench-marked using a sample of 9000 stars in the Geneva-Copenhagen Survey that have known isochronal ages. For this study, we computed the age of LHS 1903 using the Galactic U, V, and W velocity, and eccentricity, and Gaia DR3 Galactic reference coordinates [107].…”
Section: Radius Mass and Agementioning
confidence: 99%
“…These values are provided in the GALAH VAC and computed with the tool galpy (Bovy 2015). As a star evolves, these parameters are known to increase their average values: this process of dynamical heating is caused by interactions with different substructures of the Galaxy, such as spiral arms, giant molecular clouds, or the Galactic bar (e.g., Aumer et al 2016;Mackereth et al 2019;Almeida-Fernandes & Rocha-Pinto 2018).…”
Section: Kinematic Propertiesmentioning
confidence: 99%
“…This evolution results in a statistical correlation known as disk heating (Wielen 1977), a net increase in Galactic space motions with time. Almeida-Fernandes & Rocha-Pinto (2018) summarize some mechanisms that can explain the fluctuations that a star can encounter when traveling around the Galactic center: encounters with giant molecular clouds, interaction with non-axisymmetric Galactic structures, interactions with satellite galaxies, etc.…”
Section: Kinematical Features As a Proxy For Old Agesmentioning
confidence: 99%