A New Method for the Asteroseismic Determination of the Evolutionary State of Red-Giant Stars
Yvonne Elsworth, Saskia Hekker, Sarbani Basu, and Guy Davies

TL;DR
This paper introduces a fast, autonomous asteroseismic method to determine the evolutionary state of red-giant stars by analyzing their power spectra, enabling classification of thousands of stars efficiently.
Contribution
It presents a novel, efficient technique that uses dipole-mode oscillation structures to classify red-giant stars' evolutionary stages without detailed mode component analysis.
Findings
Classified 6604 red giant stars into evolutionary stages
Identified 3566 on the red-giant branch, 2077 in the red-clump, and 439 in the secondary-clump
Method is fast, automated, and suitable for large stellar datasets
Abstract
Determining the ages of red-giant stars is a key problem in stellar astrophysics. One of the difficulties in this determination is to know the evolutionary state of the individual stars -- i.e. have they started to burn Helium in their cores? That is the topic of this paper. Asteroseismic data provide a route to achieving this information. What we present here is an highly autonomous way of determining the evolutionary state from an analysis of the power spectrum of the light curve. The method is fast and efficient and can provide results for a large number of stars. It uses the structure of the dipole-mode oscillations, which have a mixed character in red-giant stars, to determine some measures that are used in the categorisation. It does not require that all the individual components of any given mode be separately characterised. Some 6604 red giant stars have been classified. Of…
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