Synergies between exoplanet surveys and variable star research

Kovács, G.

doi:10.1051/epjconf/201715201005

Cited by 3 publications

(2 citation statements)

References 89 publications

(82 reference statements)

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“…There is a natural synergy between the many surveys mentioned in the previous section and variable star research. This is reviewed in some detail by Soszyński (2017), in the case of µL, and Kovacs (2017), in the case of transiting exoplanets. Indeed, our current knowledge of stellar variability across the Milky Way and beyond has been built in part by some of these projects.…”

Section: Curating the New Variable Starsmentioning

confidence: 99%

Stellar Variability in Ground-Based Photometric Surveys: An Overview

Catelan¹

2023

Preprint

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Time-resolved ground-based surveys in general, and photometric ones in particular, have played a crucial role in building up our knowledge of the properties, physical nature, and the very existence of the many different classes of variable stars and transient events that are currently known. Here I provide a brief overview of these developments, discussing some of the stumbling blocks that had to be overcome along the way, and others that may still hamper further progress in the area. A compilation of different types of past, present, and future surveys is also provided.

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Section: Curating the New Variable Starsmentioning

confidence: 99%

Stellar Variability in Ground-Based Photometric Surveys: An Overview

Catelan¹

2023

Preprint

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“…Several other methods have been developed with similarities to the ones briefly described above. We refer the interested reader to a more complete list of methods in Kovacs (2017).…”

Section: Introductionmentioning

confidence: 99%

More planetary candidates from K2 Campaign 5 using TRAN_K2

Kovács

2020

A&A

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Context. The exquisite precision of space-based photometric surveys and the unavoidable presence of instrumental systematics and intrinsic stellar variability call for the development of sophisticated methods that distinguish these signal components from those caused by planetary transits. Aims. Here, we introduce the standalone Fortran code tran_k2 to search for planetary transits under the colored noise of stellar variability and instrumental effects. We use this code to perform a survey to uncover new candidates. Methods. Stellar variability is represented by a Fourier series and, when necessary, by an autoregressive model aimed at avoiding excessive Gibbs overshoots at the edges. For the treatment of systematics, a cotrending and an external parameter decorrelation were employed by using cotrending stars with low stellar variability as well as the chip position and the background flux level at the target. The filtering was done within the framework of the standard weighted least squares, where the weights are determined iteratively, to allow a robust fit and to separate the transit signal from stellar variability and systematics. Once the periods of the transit components are determined from the filtered data by the box-fitting least squares method, we reconstruct the full signal and determine the transit parameters with a higher accuracy. This step greatly reduces the excessive attenuation of the transit depths and minimizes shape deformation. Results. We tested the code on the field of Campaign 5 of the K2 mission. We detected 98% of the systems with all their candidate planets as previously reported by other authors. We then surveyed the whole field and discovered 15 new systems. An additional three planets were found in three multiplanetary systems, and two more planets were found in a previously known single-planet system.

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