z0-precisionmeasurement

Precision measurements and tests of the Standard Model using OPAL data at LEP

Installing with conda

1. Install anaconda (miniconda probably works too?).
2. conda env create reads the environment.yml file in this repository, creates a new env and installs all necessary packages into it.
3. Activate the new env: conda activate z0-env
4. Start jupyter-lab (or jupyter-notebook if you prefer) in the environment. This will usually open your browesr automatically. If not the link is printed to the console too.

Git Contents

• Grope_Histograms.ipynb -> Opal visual analysis plots (Grope part of the laboratory)
• opal_data -> Folder where we saved the mc and data root files
• MPL_Model -> Folder where we saved the Machine Learning Model after the Training
• Cuts_by_Hand.ipynb -> Our first approach to the classification of events (physical cuts that were later replaced by the Machine learning algorithm)
• Main_Work.ipynb -> this is the file were we made almost all the task for this laboratory (all the analysis except the grope part and the physical cuts should be here)
• z0_experiment.ipynb ->this is just a leftover from the initial git (should be ignored)