SoUP2022-InferenceExercise

Exercise on statistical inference for a dark matter search experiment for the SoUP 2022 INFN School

Exercise Jupyter notebook:

• The exercise is given in this notebook: Inference.ipynb
• A guided version of the exercise is also available: Inference-beginners.ipynb

If you are a python beginner or you prefer a simplified/guided version, use Inference-beginners.ipynb

How to run the exercise

Download this repository on your machine (go to Code button), run Jupyter and open one of the exercise notebooks.

Ancillary input files

• Signal S1 spectrum: Sig-WIMP-50-S1.txt
• ER background S1 spectrum: Bkg-ER-S1.txt
• NR background S1 spectrum: Bkg-NR-S1.txt
• An example dataset you can work with: example_dataset_0.pkl (this is a pickle file containing a Pandas dataframe)
• Test statistic distributions under signal hypotheses: test_statistic_distributions.pkl (this is a pickle file containing a Pandas dataframe)

Exercise solution:

You can find a complete version of the notebook, where the excercise is fully solved, in the subdirectory: solution