Research:
Solving the Kepler Dichotomy:
The Kepler mission has revolutionized our understanding of the frequencies and properties of planets around Sun-like stars. Upon first glance, an apparent excess of single transit systems appear in the data. We showed 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.
K2 Occurrence Rates:
Upon the failure of two reaction wheels, the Kepler spacecraft was no longer able to remain focused on the same field for extended periods of time, thus concluding the original mission. However, data was able to be collected in 80 day portions from different regions of the galactic plane. We created an automated pipeline for detecting transiting exoplanets from this data, allowing occurrence rate studies to be performed in these different regions of the galaxy.
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.
EDI-Vetter - A Transiting Exoplanet Vetting Tool
This software was designed to vet transit-like signals from the K2 data set. By performing several tests we can automate the vetting of signals in the K2 time series data.
Jon Zink
email: jzink@astro.ucla.edu
: @jonKzink

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