Abstract
Separation of electroweak component from strong component of associated Zγ production on hadron colliders is a very challenging task due to identical final states of such processes. The only difference is the origin of two leading jets in these two processes. Rectangular cuts on jet kinematic variables from ATLAS/CMS 8 TeV Zγ experimental analyses were improved using machine learning techniques. New selection variables were also tested. The expected significance of separation for LHC experiments conditions at the second datataking period (Run2) and 120 fb−1 amount of data reaches more than 5σ. Future experimental observation of electroweak Zγ production can also lead to the observation physics beyond Standard Model.
Highlights
After completion of the Standard Model (SM) in 2012 by the experimental observation of the Higgs boson in ATLAS and CMS experiments at the LHC [1, 2], the main focus of experimental high energy physics moved to the search of the manifestations of the physics beyond the Standard Model (BSM).Direct search of the BSM physics basically implies the observation of the brand new resonances, which is constraned by the collision energy limitations on the modern accelerators
Future experimental observation of electroweak Zγ production can lead to the observation physics beyond Standard Model
Rectangular cuts Basing on the ATLAS 8 TeV Zγ analysis [5], to estimate the significance achieved with simple rectangular cuts the following kinematic variables were used:
Summary
After completion of the Standard Model (SM) in 2012 by the experimental observation of the Higgs boson in ATLAS and CMS experiments at the LHC [1, 2], the main focus of experimental high energy physics moved to the search of the manifestations of the physics beyond the Standard Model (BSM).Direct search of the BSM physics basically implies the observation of the brand new resonances, which is constraned by the collision energy limitations on the modern accelerators. Rectangular cuts on jet kinematic variables from ATLAS/CMS 8 TeV Zγ experimental analyses were improved using machine learning techniques. In this work we study such kind of rare process - the electroweak Z-boson production with association of the photon. The VBS has high interference with other EWK-production processes and can not be studied separately.
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