Analysis of the Production of a Single Majorana’s Neutrino at ILC using Artificial Intelligence
Artificial, Intelligence, Neutrino, Majorana, Particles
This work aimed to develop an artificial intelligence capable of separating Heavy Majorana Neutrinos produced by an Extension of the Standard Model using the characteristics of the International Linear Collider (ILC) particle accelerator from other events already present in the Standard Model. This accelerator will still be built and the expectation is that the software developed may help in the future to remove background events from the experimental results. software showed an accuracy of 91.27% in the training phase with a neural network trained only for events containing muons, presenting final results with few background events. The results presented in this work can be greatly improved by refining the developed software and testing other error definitions.