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Study of Generative Machine Learning Methods for Particle Physics

Work presented for the completion of the SPA6776 Extended Independent Project (30-credits) of the BSc in Theoretical Physics at the Queen Mary University of London.

GANNs/VAE for events generation in particle physics. For more detail and the full-text, please refer to dissertation_sergio_calvo.pdf.

This is a joint project where:

  • Sergio Calvo Ordoñez focused on the implementation of the Generative Adversarial Networks and,
  • Martin Fanev focused his work on the implementation of the Variational Autoencoder.

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GANNs/VAE for events generation in particle physics.

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