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This project is developed to provide classification solution forBackground Alpha andNeutrino Beta Events from theJinping Neutrino Experiment Simulation.

TheDeep Pyramid Convolution Neural Network(DPCNN) Method is implemented to generate resultsapproximate to the datasetperformance limit.

Two versions ofGoogle Colab Notebooks are designed, optimized and simplified for further research and development, along withtrained neural network model related. The notebooks are developed to run online, but they also support other notebook setups.

The default working directory is '/content/drive/My Drive'.

In the working directory,
Datasets should be found in './PhysicsData/'.
Models will be saved in './Neutrino_DPCNN_Model/'.
Answers will be produced in './DPCNN_Answers/'.