A New Evolutionary Algorithm for Optimizing the Search of a Rare Higgs Boson Production Channel

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发表日期：

2024年8月14日

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I. R. Boyko,
A. R. Didenko,
O. A. Dolovova,
N. A. Huseynov,
A. D. Tropina,
I. V. Yeletskikh

摘要

Abstract

This paper describes the results of applying an evolutionary algorithm to optimize the hyperparameters of a neural network (NN) solving the problem of separating the rare Higgs boson birth process in association with a single top quark \(pp \to tH(H \to bb)\) from the main background processes \(pp \to tt,ttH,tZbq\) .