Issue |
A&A
Volume 687, July 2024
|
|
---|---|---|
Article Number | A208 | |
Number of page(s) | 7 | |
Section | Catalogs and data | |
DOI | https://doi.org/10.1051/0004-6361/202244572 | |
Published online | 12 July 2024 |
Apparent non-variable stars from the Kepler mission★
1
Department of Astrophysics, Vienna University,
Türkenschanzstraße 17,
1180
Vienna, Austria
e-mail: epaunzen@physics.muni.cz
2
Department of Theoretical Physics and Astrophysics, Masaryk University,
Kotlářská
2, 611 37
Brno, Czech Republic
Received:
22
July
2022
Accepted:
28
May
2024
Context. The analysis of non-variable stars is generally neglected in the literature. However, such objects are needed for many calibration processes and for testing pulsational models. The photometric time series of the Kepler satellite mission still stand as the most accurate data available today and are excellently suited to the search for non-variable stars.
Aims. We analysed all long-cadence light curves for stars not reported as a variable so far from the Kepler satellite mission. Using the known characteristics and flaws of these data sets, we defined three different frequency ranges where we searched for non-variability.
Methods. We used the Lomb–Scargle periodogram and the false-alarm probability (FAP) to analyse the cleaned data sets of 138 451 light curves. We then used log FAP ≥ −2 to define a star as ‘non-variable’ in the ranges below 0.1 c/d, 0.1 to 2.0 c/d, and 2.0 to 25.0 c/d, respectively. Furthermore, we also calculated the standard deviation of the mean light curve to obtain another parameter.
Results. In total, we found 14 154 stars that fulfil the set criteria. These objects are mostly cooler than the 7000 K populating the whole main sequence (MS) to the red giant branch (RGB).
Key words: methods: data analysis / catalogs / Hertzsprung–Russell and C–M diagrams / supernovae: general
Full Table 1 is available at the CDS via anonymous ftp to cdsarc.cds.unistra.fr (130.79.128.5) or via https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/687/A208
© The Authors 2024
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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