Predicting the electron invariant mass from the CERN di-electron collision data

Attended 3 weeks school and completed the project under Julián Laverde.

Explored various features of the di-electron collision using rigorous data analysis tools on a dataset consisting 100,000 dielectron events in the mass range 2-110 GeV.

Used a custom neural network on test dataset for predicting the invariant mass of the electron.