A hands-on workshop on forward modelling and Bayesian inversion of planetary interiors.
Gravity fields, tidal deformation and induced magnetic fields are most of what we can measure about the inside of a planet or a moon. Linking them to a model of the interior means solving two problems. The forward problem predicts what a given internal structure would produce. The inverse problem works back from the data to the set of structures that fit them, and to how well each parameter is constrained.
Juno has measured the tidal response of Io, and JUICE and Europa Clipper will return gravity, altimetry and magnetic data for Ganymede, Europa and Callisto. Reading these data requires numerical models that couple non-linear rheology, heat transport and multiphase dynamics, together with statistical methods that can handle the non-uniqueness of the solution.
The workshop brings together about 20 PhD students and young postdocs. Each part of the programme starts with lectures and continues with a hands-on session: participants build a finite element model, then run a Markov chain Monte Carlo inversion on synthetic data. A final round table looks at how the uncertainties on interior parameters translate into ice shell thickness, ocean depth and dissipated tidal power, which are the quantities that matter when assessing whether an ocean world could be habitable.