♻️ Refactor with project API

[s-weigand]

This change refactors the case studies to use the project API and did lead to some improvements in the project API itself.

In addition, it cleans up the model and parameter files as well as notebooks.
Further improvements like using glotaran generated clp guides and explaining the smoothing due clp_relations will follow in a different PR.

Change summary

• 🧹 Add project anchor files to git ignore
• ♻️ Moved original data files from data subfolder to measured_data
• 🧹 Added data folder to gitignore since it gets populated by import_data
• ♻️ Converted target_rc to project API
• ♻️ Converted target_rcg_compare to project API
• ♻️ Converted target_rcg_gcrcg_rcgcr_refine to project API
• ♻️ Moved original data 4TT files from data subfolder to measured_data
• 👌 Added clp_relations for smoothong of generated guidance spectra
• 🧹 Cleaned rcg_refine models and parameters from unused code
• 🧹 Removed dead code comments in target_rc model
• 👌 Use result create_clp_guide_dataset method instead of function
• 👌 Show cleaned up model and parameter definition
• ♻️ Converted 4TT to project API
• ♻️ Moved original data dPSI files from data subfolder to measured_data
• 🧹 Ignore data folders in general since they get populated by import_data
• ♻️ Converted dPSI to project API
• 🧹 Make use of improved project API
• 🧹 Cleaned up rc model and parameters
• 🧹 Cleaned up target_rcg_gcrcg_rcgcr_refine model and parameters
• 🧹 Cleaned up 4TT models and parameters
• 🧹 Cleaned up dPSI model
• 🧹 Cleaned up rc notebook
• 🔧 Ignore pdfs folder when running pytest

[s-weigand]

For easier review here are the PDFs generated from the notebooks on the current main branch (see the action workflow ).
pdfs.zip

[jsnel]

Thanks for this massive cleanup!

I see some of the (table) rending in the notebooks is still a bit off, but this can be tackled in a future PR. The intention of the PDF is to be able to judge if the plots change significantly and for that it works great!