A particle-based deep neural network with standardized inputs and principal component analysis is projected to improve the expected significance for longitudinally polarized ZZ scattering at the HL-LHC to about 1.7 standard deviations.
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Polarization fraction measurement in ZZ scattering using deep learning
A particle-based deep neural network with standardized inputs and principal component analysis is projected to improve the expected significance for longitudinally polarized ZZ scattering at the HL-LHC to about 1.7 standard deviations.