Planetary Population Synthesis: Comparison of Updated Model Results and Observations.

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The field of extrasolar planet research is currently undergoing an fast, impressive gain of observational knowledge on the architectures and characteristics of planetary systems around other stars. This is thanks to the results of both observations from the ground, as well as observations from space.
Some of these detections, in particular from the KEPLER satellite and from high precision radial velocity searches have recently challenged existing planet formation models. This has triggered intense theoretical work in order to understand the origins of the differences between observation and theory.
In my talk I will present updated core accretion formation models which were used to conduct population synthesis simulations. Besides many other improvements contain these models a much more detailed description of planetary migration, allow for the concurrent formation of many fully interacting embryos in one disk, and include now also the subsequent evolution of the planets after formation on Gyr timescales. The latter improvement gives us all major quantities characterizing a planet, like its mass, composition, radius, luminosity and effective temperature. It also means that the results can be directly compared not only to the observed mass - distance diagram, but also to the observed radius distribution and the luminosity measured by direct imaging.
Thanks to such improvement of the models, allowing new physical phenomena like the capture into mean motion resonances, or the existence of convergence zones for type I migration, it is found that the properties of the population of synthetic close-in, low mass planets, and of the corresponding observed population are much more similar than in earlier models, even though that some differences still exist. An example is that the models predict an bimodal distribution of planetary radii, which is not observed. I will discuss the reasons for both the better agreement, as well as the remaining differences.

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