Hello everybody. I am currently on my last year of Computational Physics education. More and more I am interested in Machine Learning and Neural Network. Time has come for me to choose diploma work thesis, so I am searching for interesting ideas where I can merge my interest in neural networks and my background in physics.

I am looking for something like spectral analysis of galaxies or quasars using neural networks. Or maybe, use ML algorithm for clustering particle collision at CERN(divide ggH and VBF for example).

In a nutshell, I want to build my neural network, feed it with some Monte Carlo data, train it, and then evaluate it on real data.

Do you have some guidance, some ideas, useful links, or anything that can help.

Thank you in advance, I really appreciate it.

I am looking for something like spectral analysis of galaxies or quasars using neural networks. Or maybe, use ML algorithm for clustering particle collision at CERN(divide ggH and VBF for example).

In a nutshell, I want to build my neural network, feed it with some Monte Carlo data, train it, and then evaluate it on real data.

Do you have some guidance, some ideas, useful links, or anything that can help.

Thank you in advance, I really appreciate it.

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