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Improved Neural Network Monte Carlo Simulation

09/16/2020

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by I-Kai Chen, et al.

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The algorithm for Monte Carlo simulation of parton-level events based on an Artificial Neural Network (ANN) proposed in arXiv:1810.11509 is used to perform a simulation of H→ 4ℓ decay. Improvements in the training algorithm have been implemented to avoid numerical instabilities. The integrated decay width evaluated by the ANN is within 0.7 efficiency of 26 between input and output spaces, which can lead to issues with simulation quality, we argue that the training procedure naturally prefers bijective maps, and demonstrate that the trained ANN is bijective to a very good approximation.

I-Kai Chen
1 publication
Matthew D. Klimek
2 publications
Maxim Perelstein
2 publications

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