Polarization fraction measurement in same-sign W W scattering using deep learning
Abstract
Studying the longitudinally polarized fraction of W±W± 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 region. A conservative estimation shows that a high significance of four standard deviations can be reached with the High-Luminosity LHC designed luminosity of 3000 fb-1 .
- Publication:
-
Physical Review D
- Pub Date:
- February 2019
- DOI:
- 10.1103/PhysRevD.99.033004
- arXiv:
- arXiv:1812.07591
- Bibcode:
- 2019PhRvD..99c3004L
- Keywords:
-
- High Energy Physics - Phenomenology;
- High Energy Physics - Experiment
- E-Print:
- 4 pages, 5 figures, updated draft to match published version