More planetary candidates from K2 Campaign 5 by tran_k2
Geza Kovacs

TL;DR
This paper introduces tran_k2, a Fortran code that effectively detects planetary transits in K2 data by separating stellar variability and instrumental effects, leading to the discovery of new planetary candidates.
Contribution
The paper presents a novel, stand-alone Fortran tool that improves transit detection accuracy by modeling stellar variability and systematics, and reports new planetary candidates from K2 Campaign 5 data.
Findings
Detected 98% of known systems with previous methods
Discovered 15 new planetary systems in K2 Campaign 5
Identified additional planets in known multi-planet systems
Abstract
CONTEXT. The exquisite precision of the space-based photometric surveys and the unavoidable presence of instrumental systematics and intrinsic stellar variability call for the development of sophisticated methods that separate these signal components from those caused by planetary transits. AIMS. Here we introduce tran_k2 a stand-alone Fortran code to search for planetary transits under the colored noise of stellar variability and instrumental effects. With this code we perform a survey for new candidates. METHODS. Stellar variability is represented by a Fourier series, and, if needed, by an autoregressive model to avoid excessive Gibbs overshoots at the edges. For the treatment of systematics, cotrending and external parameter decorrelation are employed by using cotrending stars with low stellar variability, the chip position and the background flux level at the target. The filtering…
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