We present the transiting exoearth robust reduction algorithm (TERRA)—a novel framework for identifying and removing instrumental noise in Kepler photometry. We identify instrumental noise modes by finding common trends in a large ensemble of light curves drawn from the entire Kepler field of view. Strategically, these noise modes can be optimized to reveal transits having a specified range of timescales. For Kepler target stars of low photometric noise, TERRA produces ensemble-calibrated photometry having 33 ppm rms scatter in 12 hr bins, rendering individual transits of Earth-size planets around Sun-like stars detectable as ∼3σ signals.
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Petigura et al. (2012) studied this question.
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