For exploring a particular parameter space interactively and in parallel from a Jupyter Notebook, each parameter set can be applied to the same Notebook using Papermill and Dask (to execute multiple runs in parallel) to quickly explore the space with HPC resources and identify a good parameter fit.  That final parameter set can then be applied to additional data sets using the same Papermill and Dask mechanism.  This recipe is very flexible and can be applied to other science domains as well, it is not limited strictly to tomography analysis.