Abstract
In the framework of the SPACEInn project, a Stellar Seismic Indices (SSI - http://ssi.lesia.obspm.fr/) database was developed in order to provide the scientific community with oscillations and granulation signatures for a large set of red-giant type stars. For this purpose, we have developed the method MLEUP able to extract simultaneously the seismic indices (the equidistance Δv , the frequency v max and the height H env of the maximum oscillation power) and granulation parameters (the e-folding time τeff and the variance of the integrated brightness fluctuations σ2 ). This method has been tested in terms of precision and accuracy, using Monte Carlo simulations. Then we applied it to all stars observed by CoRoT and all long-cadence Kepler lightcurves. In total, we yield seismic indices and granulation parameters for about 5,000 stars for CoRoT and more than 13,000 for Kepler . In this paper, we focus on the main results for both seismic indices Δv and v max as well as for the stellar parameters (mass, radius and luminosity) seismically inferred. Then, in the perspective of Gaia, we discuss about the possibility to derive other seismic quantities like e.g. a seismic effective temperature.
Highlights
We have developed a new automatic method, called MLEUP, taking advantage of the MLE (Maximum Likelihood Estimate) algorithm combined with the parametrized representation of the red giants pulsation spectrum following the UP (Universal Pattern, cf. [1]) in order to measure simultaneously the oscillations and the granulation signatures
We plotted in figure 2 ∆ν as a function of νmax from the 4783 CoRoT and 13,689 Kepler stars for which we extracted the seismic indices
We considered 13,408 of the Kepler selected dataset for which we have the effective temperature from [5]
Summary
We have developed a new automatic method, called MLEUP, taking advantage of the MLE (Maximum Likelihood Estimate) algorithm combined with the parametrized representation of the red giants pulsation spectrum following the UP (Universal Pattern, cf. [1]) in order to measure simultaneously the oscillations and the granulation signatures. The full description of this method is in [2]. 3, we present the main results of the analysis of the CoRoT and Kepler datasets: PUBLI ! The mean large separation ∆ν, the peak frequency νmax as well as the “seismic” masses and radii. 4, we discuss about the prospect, such as the possibility to derive the “seismic” effective temperature using the Gaia data.
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