# Polarization fraction measurement in same-sign WW scattering using deep learning

@article{Lee2019PolarizationFM,
title={Polarization fraction measurement in same-sign
WW
scattering using deep learning},
author={Junho Lee and Nicolas Chanon and Andrew Michael Levin and Jing Li and Meng Lu and Qiang Li and Yajun Mao},
journal={Physical Review D},
year={2019}
}
• Published 18 December 2018
• Physics
• Physical Review D
Studying the longitudinally polarized fraction of $W^\pm W^\pm$ scattering at the LHC is crucial to examine the unitarization mechanism of the vector boson scattering amplitude through Higgs and possible new physics. We apply here for the first time a Deep Neural Network classification to extract the longitudinal fraction. Based on fast simulation implemented with the Delphes framework, significant improvement from a deep neural network is found to be achievable and robust over all dijet mass…

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