Author(s): , , , , , , , , ,
Institution(s): 1. California Institute of Technology, 2. NASA Ames Research Center, 3. SETI Institute
As the full Kepler dataset is analysed and made available, the Kepler project has published a series of planet candidate lists. In order for both the project and the community to determine the true planet occurrence rates from these candidate lists, we need to measure the detection efficiency of the Kepler pipeline from which the candidates are produced, that is, the rate at which planets are missed in the analysis. We present here the preliminary results from the first empirical measurement of the detection efficiency of the pipeline on the full seventeen quarters of data, extending our previous measurements using one and four quarters of data. For the first time, we are also able to use the identical data products and pipeline versions as those used to generate the Q1-Q17 planet candidate catalogue, and as a consequence, the measured detection efficiency can be used directly in the inference of the planet occurrence rates. In particular, we examine the impact of the large rate of false positives in the Kepler planet candidate lists at periods of 200-400 days, due to temperature-dependent electronic artifacts in the Kepler CCDs, on the detection of real planets at those periods, which are critical to habitable zone occurrence rate calculations.