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}
}
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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