/invisible-higgs

Repository for 2020/2021 Physics MSci project using TensorFlow to construct machine learning algorithms for detecting invisible Higgs Boson decays at the CMS detector (LHC) CERN.

Primary LanguageJupyter NotebookMIT LicenseMIT

invisible-higgs

Repository for 2020/2021 Physics MSci project "Searches for new physics at the LHC using machine learning" .

Structure

This repository is currently structured as follows.

├── Images
    └── ....
├── dice_scripts
    └── ....
├── src            
    ├── models   
    │   ├── combined_models.py
    │   ├── recurrent_models.py
    │   └── sequential_models.py
    ├──notebooks
        ├── binary_classifier_results.ipynb
        ├── dataset_exploration.ipynb
        └── neural_network_results.ipynb
    ├── tuning 
    │   ├── nn_events_hyperparameter_tuning.ipynb
    │   └── nn_multifeature_tuning.py
    ├── utilities   
        ├── data_analysis.py
        ├── data_loader.py
        ├── data_preprocessing.py
        └── plotlib.py
    ├── binary_classifier.py
    ├── binary_complete_nn.py
    ├── binary_event_nn.py
    ├── binary_jet_rnn.py
    ├── hist_plt.py
    ├── multi_classification_complete_network.py
    ├── multi_classification_nn.py
    ├── multi_classification_rnn.py
    └── preprocess_data.py

drawing