The Kepler mission has revolutionized our understanding of the frequencies and properties of planets around Sun-like stars. However, much of the work done regarding exoplanet occurrence rate calculations have ignored issues of planet multiplicity. I, alongside Dr. Jessie Christiansen and Professor Brad Hansen, have developed a Bayesian technique to infer population parameters and planet multiplicity, using the Multiple Event Static (MES) sorting mechanism of the Kepler pipeline. In our search we have found that the excess population of single transiting planet systems around solar-like stars can largely be explained by a more complex completeness mapping. Accounting for the order in which the candidate was detected (within the systems light curve), our method produces a Poissonian exoplanet multiplicity function.
Developed Software:
ExoMult - A Forward Modeling Exoplanet Detection Code
This forward modeling program will simulate the detected transiting exoplanet population around the Kepler sample of "solar-like" stars. You can import your own multi-planet system parameters to determine the probability of being detected or you can use an underlying power-law distribution to determine what population would be expected empirically. Multiplicity and its effects on detection efficiency are also considered here.
: @jonKzink

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