Title: Transit Detection on Raw Lightcurves
Abstract: The treatment of systematic noise is a significant aspect of transit exoplanet data processing due to the signal strength of systematic noise relative to the transit signal. Typically the standard approach to transit detection is to estimate and remove systematic noise independently of and prior to a transit detection test. If a transit signal is present in a light curve, the process of systematic noise removal may distort the transit signal by overfitting and thereby reduce detection efficiency. We present a Bayesian framework for joint detection of transit signals and systematic noise characterization. The performance of the exploratory detectors was evaluated in injection tests and show ∼ 3% improvement in overall detection efficiency relative to the standard approach. We find that joint detection efficiency is specifically improved for short-period, low transit-depth exoplanet transits.
