Keplerian periodogram for Doppler exoplanets detection: optimized computation and analytic significance thresholds

Abstract

We consider the so-called Keplerian periodogram, in which the putative detectable signal is modelled by a highly non-linear Keplerian radial velocity function, appearing in Doppler exoplanetary surveys. We demonstrate that for planets on high-eccentricity orbits the Keplerian periodogram is far more efficient than the classic Lomb-Scargle periodogram and even the multiharmonic periodograms, in which the periodic signal is approximated by a truncated Fourier series. We provide new numerical algorithm for computation of the Keplerian periodogram. This algorithm adaptively increases the parameteric resolution where necessary, in order to uniformly cover all local optima of the Keplerian fit. Thanks to this improvement, the algorithm provides more smooth and reliable results with minimized computing demands. We also derive a fast analytic approximation to the false alarm probability levels of the Keplerian periodogram. This approximation has the form $(P{z}^{3/2}+Qz)W\exp (-z)$, where $z$ is the observed periodogram maximum, $W$ is proportional to the settled frequency range, and the coefficients $P$ and $Q$ depend on the maximum eccentricity to scan.

16 pages, 6 figures; Accepted for publication in MNRAS; the PlanetPack2 code implementing the Keplerian periodogram computing can be downloaded at http://sourceforge.net/projects/planetpack

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Cited by in corpus (4)

• Radial Velocity Data Analysis with Compressed Sensing Techniques
• Bias and robustness of eccentricity estimates from radial velocity data
• A study of periodograms standardized using training data sets and application to exoplanet detection
• Transits Probabilities Around Hypervelocity and Runaway Stars