Better experiment definition and deal with several dimension
- create a simple and flexible process to 'interpret' the raw dataset (class Dataset in the project) .For this we want to define a set of dimension (using the class AcquisitionDims) and use it to create a numpy view on the raw dataset.
- roi selection
compare to original data
- refactor id06workflow.core, to have Dataset and experiment at the root level