This code is used to do parameterized deep neural network for new particle search in the field of Particle Physics. General info, please refer to the paper: https://arxiv.org/pdf/1601.07913.pdf
The codes are under developed.
- make_array.ipynb: convert tree into numpy array, and save those array to h5 formart
- work_all.ipynb: apply training, testing, and examination
- write2tree.ipynb: write the DNN output results back to trees for further studies
If you are runing the code in your local PC, please install Keras[https://keras.io/] and its relevant tools firstly.
To use the notebooks, please install Jupyter. If without Jupyter, you can extract each code in notebook into separate python scripts.