Potential Biases in the Detection of Planetary Systems with Large Transit Timing Variations
Enrique Garcia-Melendo, Mercedes Lopez-Morales

TL;DR
This paper reveals how current transit search algorithms can systematically miss or mischaracterize planets with large TTVs, leading to biases in exoplanet detection and cataloging.
Contribution
It identifies biases in current detection methods for planets with large TTVs and proposes the need for algorithms that account for non-constant periods.
Findings
Planets with long P_TTV can be missed or misclassified.
Large A_TTV can cause transits to be fully occulted by noise.
Detection biases may explain differences in observed planetary system statistics.
Abstract
The Transit Timing Variations (TTVs) technique provides a powerful tool to detect additional planets in transiting exoplanetary systems. In this paper we show how transiting planets with significant TTVs can be systematically missed, or cataloged as false positives, by current transit search algorithms, unless they are in multi-transit systems. If the period of the TTVs, P_TTV, is longer than the time baseline of the observations and its amplitude, A_TTV, is larger than the timing precision limit of the data, transiting planet candidates are still detected, but with incorrect ephemerides. Therefore, they will be discarded during follow-up. When P_TTV is shorter than the time baseline of the observations and A_TTV is sufficiently large, constant period search algorithms find an average period for the system, which results in altered transit durations and depths in the folded light…
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