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Corpus ID: 221293337

Matrix Element Regression with Deep Neural Networks -- breaking the CPU barrier

@article{Bury2020MatrixER,
title={Matrix Element Regression with Deep Neural Networks -- breaking the CPU barrier},
author={F. Bury and C. Delaere},
journal={arXiv: High Energy Physics - Experiment},
year={2020}
}

The Matrix Element Method (MEM) is a powerful method to extract information from measured events at collider experiments. Compared to multivariate techniques built on large sets of experimental data, the MEM does not rely on an examples-based learning phase but directly exploits our knowledge of the physics processes. This comes at a price, both in term of complexity and computing time since the required multi-dimensional integral of a rapidly varying function needs to be evaluated for every… CONTINUE READING