Abstract
From its surface properties it can be difficult to determine whether a red-giant star is in its helium-core-burning phase or only burning hydrogen in a shell around an inert helium core. Stars in either of these stages can have similar effective temperatures, radii and hence luminosities, i.e. they can be located at the same position in the Hertzsprung-Russell diagram. Asteroseismology -- the study of the internal structure of stars through their global oscillations -- can provide the necessary additional constraints to determine the evolutionary states of red-giant stars. Here, we present a method that uses grid-based modelling based on global asteroseismic properties ($\nu_{\rm max}$, frequency of maximum oscillation power; and $\Delta\nu$, frequency spacing between modes of the same degree and consecutive radial orders) as well as effective temperature and metallicity to determine the evolutionary phases. This method is applicable even to timeseries data of limited length, although with a small fraction of miss-classifications.
Highlights
The long near-uninterrupted photometric timeseries of Kepler data have unambiguously shown the presence of mixed pressure-gravity oscillation modes
These modes provide information about the stellar structure of red giants and from that allow to identify the evolutionary state of a red giant [1, 12], i.e. whether the star is on the red-giant branch (RGB) or in the He-core burning phase
We present a method that does not rely on the detection of the individual mixed modes, but uses grid-based modelling (GBM)
Summary
The long near-uninterrupted photometric timeseries of Kepler data have unambiguously shown the presence of mixed pressure-gravity oscillation modes. These modes provide information about the stellar structure of red giants and from that allow to identify the evolutionary state of a red giant [1, 12], i.e. whether the star is on the red-giant branch (RGB) or in the He-core burning phase. Resolving individual mixed modes is not always feasible in shorter timeseries data such as those of the K2 [7] and TESS [16] missions. We present a method that does not rely on the detection of the individual mixed modes, but uses grid-based modelling (GBM). An earlier version of the method presented here has been applied together with the methods by [4, 9, 12] to the APOKASC stars [14, see the contributions by Marc Pinsonnealt and Yvonne Elsworth in these proceedings] to provide consolidated evolutionary phases
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