Create a Low Observation Jupyter Notebook to cover multiple PST scans and add usage improvements

A new notebook is created to allow the ability to conduct PST scans, starting from the OSO scripting level* and reading from an example PST SBD (JSON format in the ODA or `ska-jupyter-scripting` repo) New notebook is made part of the `ska-jupyter-scriping` repo and follows required SKAO standards (linting etc). Documentation is created for the use of an AIV engineer in interpreting the Notebook and stored in the Documentation Repository on confluence. `ska-jupyter-scripting` LOW chart is kept up to date with developments to maintain the long term functionality of this example notebook. (this can be considered a long term commitment). The notebook connects to the ODA and an EB can be inspected post-priori to see executed steps.  '* as few as possible 'helper functions' are used. This should fully exercise the OSO scripting library.