Using Artificial Neural Networks to optimize scattering probabilities
Monte Carlo event generators are used by theoretical particle physicists to get a better understanding of the phenomena in particle physics. Given the improvements in precision and accuracy of event generators, using these tools can be very CPU intensive. A method of unweighting events using artificial neural networks is presented to improve the efficiency of event generation. An introduction to m
