Exercise on statistical inference for a dark matter search experiment for the SoUP 2022 INFN School
- 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
Download this repository on your machine (go to Code button), run Jupyter and open one of the exercise notebooks.
- 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)
You can find a complete version of the notebook, where the excercise is fully solved, in the subdirectory: solution