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-hour bins, rendering individual transits of earth-size planets around sun-like stars detectable as ~3 sigma signals.
@article{arxiv.1208.4554,
title = {Identification and Removal of Noise Modes in Kepler Photometry},
author = {Erik A. Petigura and Geoffrey W. Marcy},
journal= {arXiv preprint arXiv:1208.4554},
year = {2015}
}