Search Results for author: Maxim Perelstein

Found 4 papers, 1 papers with code

Improved Neural Network Monte Carlo Simulation

no code implementations16 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.

Naturalness Sum Rules and Their Collider Tests

1 code implementation5 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

Neural Network-Based Approach to Phase Space Integration

no code implementations26 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.

Infrared Safety of a Neural-Net Top Tagging Algorithm

no code implementations4 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.

General Classification Jet Tagging

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