no code implementations • 16 Sep 2020 • I-Kai Chen, Matthew D. Klimek, Maxim Perelstein
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 $H\to 4\ell$ decay.
1 code implementation • 5 Nov 2018 • Csaba Csáki, Felipe Ferreira De Freitas, Li Huang, Teng Ma, Maxim Perelstein, Jing Shu
We present the most general sum rules reflecting the cancellation of ultraviolet divergences in the Higgs potential in weakly-coupled, natural extensions of the Standard Model.
High Energy Physics - Phenomenology
no code implementations • 26 Oct 2018 • Matthew D. Klimek, Maxim Perelstein
Monte Carlo methods are widely used in particle physics to integrate and sample probability distributions (differential cross sections or decay rates) on multi-dimensional phase spaces.
no code implementations • 4 Jun 2018 • Suyong Choi, Seung J. Lee, Maxim Perelstein
Neural network-based algorithms provide a promising approach to jet classification problems, such as boosted top jet tagging.