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A machine learning module to determine whether a given neutrino flux configuration is stable to fast flavor instability

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shankar-1729/FFI_stability_Machine_Learning

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How to use this?

Step 1: generate training data by running generate_training_data.py. This will create .npz files that contain the training data. The value of parms["n_generate"] should be set in the file, which speciefies how many data points we want.

Step 2: train the model using this generated data as input by running ml_model.py.

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A machine learning module to determine whether a given neutrino flux configuration is stable to fast flavor instability

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