Anomaly Detection Using Contrastive Learning (Electron-Photon)

Overview:

This project aims to detect Electrons (Anomaly) by training the model only on the Photons using Contrastive Learning.

Dataset:

For the top quark dataset:

And the Electron-Photon dataset can be downloaded from these links:

Requirements:

Strong knowledge of Python; Keras.

No need for a strong math background.

Note:

The code is still under verification.

This project was mentored by Prof. Sergei V. Gleyzer and Ali Hariri.

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