Better experiment definition and deal with several dimension
Goal
-
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. -
test operations -
shift -
roi selection -
mapping
-
-
compare to original data -
refactor id06workflow.core, to have Dataset and experiment at the root level