Open AccessThe automation of choosing of the optimal kinematic variables for discrimination of the electroweak Zγ production
Author(s) -
N. L. Belyaev,
Alexandr Petukhov,
E. Yu. Soldatov
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1390/1/012040
Subject(s) - electroweak interaction , automation , kinematics , observable , production (economics) , process (computing) , particle physics , computer science , physics , engineering , mechanical engineering , classical mechanics , quantum mechanics , programming language , economics , macroeconomics
The article discusses the automation of the determination for variables of interest (so-called observables), which allow to distinguish electroweak Z γ production from the inclusive Z γ production. The preliminary version of the original automation technique was developed. The output distributions obtained with this technique can be used as the discriminants for machine learning tools to separate rare high energy physics process. An overview of performance and rejection power for the technique is presented.