Null Hypothesis Test for Anomaly Detection

This repository contains all necessary code to reproduce the results of arXiv:2210.02226 by Jernej F. Kamenik and Manuel Szewc.

The R&D and BB1 datasets need to be downloaded and preprocessed.

The SA-CWoLA training is performed with this notebook and results are saved in the training/ folder.

Fig. 1 of the preprint is obtained with this notebook and Figs. 2 and 3 with this notebook.

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
plots		plots
training		training
README.md		README.md
SA_CWoLA_training.ipynb		SA_CWoLA_training.ipynb
comparison_with_bumphunt.ipynb		comparison_with_bumphunt.ipynb
functions.py		functions.py
plotter_learned_output.ipynb		plotter_learned_output.ipynb
plotter_mass_difference.ipynb		plotter_mass_difference.ipynb
preprocessing.ipynb		preprocessing.ipynb

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