fBLS -- a fast-folding BLS algorithm

Abstract

We present fBLS -- a novel fast-folding technique to search for transiting planets, based on the fast-folding algorithm (FFA), which is extensively used in pulsar astronomy. For a given lightcurve with $N$ data points, fBLS simultaneously produces all the binned phase-folded lightcurves for an array of $N_p$ trial periods. For each folded lightcurve produced by fBLS, the algorithm generates the standard BLS periodogram and statistics. The number of performed arithmetic operations is $\mathcal{O}(N_p\cdot \log N_p)$, while regular BLS requires $\mathcal{O}(N_p\cdot N)$ operations. fBLS can be used to detect small rocky transiting planets, with periods shorter than one day, a period range for which the computation is extensive. We demonstrate the capabilities of the new algorithm by performing a preliminary fBLS search for planets with ultra-short periods in the Kepler main-sequence lightcurves. In addition, we developed a simplistic signal validation scheme for vetting the planet candidates. This two-stage preliminary search identified all known ultra-short planet candidates and found three new ones.

arXiv comment10 pages, 5 figures, MNRAS accepted

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Cited by in corpus (4)

• A Systematic Search for Short-period Close White Dwarf Binary Candidates Based on Gaia EDR3 Catalog and Zwicky Transient Facility Data
• The GPU Phase Folding and Deep Learning Method for Detecting Exoplanet Transits
• An Independent Search for Small Long-period Planets in Kepler Data I: Detection Pipeline
• Adaptation of the Phase Distance Correlation Periodogram to Account for Measurement Uncertainties