Release note: Massive peak bagging of red giants in the Kepler field

Abstract

The NASA satellite Kepler has gathered about 1420 days-long photometric time series for more than 20000 red giant stars. For about 6600 of them also APOGEE spectroscopic parameters are available, making the sample of high interest for various astrophysical investigations. To optimally exploit the full wealth of the seismic information, extraction of mode parameters of all significant individual frequencies is necessary. However, the complex structure of the mixed mode pattern makes it challenging to automate the peak bagging (i.e., the extraction of the individual mode parameters from the stars power density spectra). Even though several approaches have been successfully implemented, the available results are still limited to a handful of stars. Here I present frequencies, amplitudes, and lifetimes of more than a quarter of a million oscillation modes of the spherical degree l=0 to 3, which have been observed in 6179 Kepler red giants. The sample covers evolutionary stages from the lower red-giant branch to high up the asymptotic giant branch. The modes were extracted with the Automated Bayesian Peak-Bagging Algorithm (ABBA) and are publicly available at https://github.com/tkallinger/KeplerRGpeakbagging

arXiv commentRelease note for peak bagging results for 6179 Kepler red giants, 11 pages, 6 figures,

References in corpus (9)

• Importance Nested Sampling and the MultiNest Algorithm
• Fast core rotation in red-giant stars revealed by gravity-dominated mixed modes
• The Second APOKASC Catalog: The Empirical Approach
• The connection between stellar granulation and oscillation as seen by the Kepler mission
• Asteroseismology of red giants from the first four months of Kepler data: Fundamental parameters
• Evolutionary influences on the structure of red-giant acoustic oscillation spectra from 600d of Kepler observations
• Bayesian peak bagging analysis of 19 low-mass low-luminosity red giants observed with Kepler
• Oscillating red giants in eclipsing binary systems: empirical reference value for asteroseismic scaling relation
• Automated asteroseismic peak detections

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• Acoustic modes in M67 cluster stars trace deepening convective envelopes
• Empirical Relations for the Sensitivities of Solar-like Oscillations to Magnetic Perturbations