Preparation of Kepler lightcurves for asteroseismic analyses

By R. García, S. Hekker, D. Stello, J. Gutiérrez-Soto, Rasmus Handberg, David Huber, Christoffer Karoff, K. Uytterhoeven, T. Appourchaux, W. Chaplin and 14 more. 2011

163 citations recorded by the source corpus.

The Kepler mission is providing photometric data of exquisite quality for the asteroseismic study of different classes of pulsating stars. These analyses place particular demands on the pre-processing of the data, over a range of timescales from minutes to months. Here, we describe processing procedures developed by the Kepler Asteroseismic Science Consortium (KASC) to prepare light curves that are optimized for the asteroseismic study of solar-like oscillating stars in which outliers, jumps and drifts are corrected.

Subfields: Astronomy and Astrophysics

View Paper: https://www.semanticscholar.org/paper/dec08027fefd02552ab6b43990406b9f119af7c7

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In Astronomy and Astrophysics

1. D. Huber
2. W. Chaplin
3. D. Stello
4. B. Mosser
5. A. Serenelli
6. S. Basu
7. Y. Elsworth
8. S. Hekker

Citations in the corpus

• Rotation and magnetism of Kepler pulsating solar-like stars : Towards asteroseismically calibrated age-rotation relations (2014, methodology): “Therefore, we used simple aperture photometry (SAP) time series (Thompson et al. 2013) and corrected for outliers, jumps, and drifts following the procedures described in García et al. (2011), usually denoted as KADACS (Kepler Asteroseismic Data Analysis and Calibration Software) light curves.”
• The Second APOKASC Catalog: The Empirical Approach (2018, methodology): “Two different methods were used with A2Z preparing their own datasets following Garcia et al. (2011) and CAN, COR, OCT and SYD all using data prepared using the Handberg & Lund (2014) method.”
• The connection between stellar granulation and oscillation as seen by the Kepler mission (2014, background): “Even though these instrumental effects can be corrected to some extent (see, e.g., García et al. 2011; Smith et al. 2012, and references therein), they prevent us from accessing intrinsic variability timescales longer than a few weeks.”