Published January 9, 2020 | Version 1.0
Dataset Open

Kinematics variables of Higgs and background data

  • 1. ROR icon California Institute of Technology

Description

Raw kinematic variables of simulated diphoton Higgs boson decays (kinematical_variables-sig.csv) and other diphoton decay channels (kinematical_variables-bkg.csv). Weak classifiers are constructed from cuts on these variables to produce weak classification signals for Higgs (sig.csv) and other Standard Model (bkg.csv) diphoton decays.

Files

bkg.csv
Files (241.6 MB)
Name Size
md5:6099c706c91446b0089a8f1229bed464
83.3 MB Preview Download
md5:4f7e1a6b55e3b5afe727ee1fdb03b598
38.1 MB Preview Download
md5:1f4ecae88fa2a299e9fce9d85f05e755
37.4 MB Preview Download
md5:e44e89310b578b448f3ccc104705dc89
82.8 MB Preview Download

Other

Related Publication: Solving a Higgs optimization problem with quantum annealing for machine learning Alex Mott Department of Physics, California Institute of Technology, Pasadena, 91125, California, USA. DeepMind, London, UK. Joshua Job Department of Physics, University of Southern California, Los Angeles, 90089, California, USA. Center for Quantum Information Science and Technology, University of Southern California, Los Angeles, 90089, California, USA. Jean-Roch Vlimant Department of Physics, California Institute of Technology, Pasadena, 91125, California, USA Daniel Lidar Center for Quantum Information Science and Technology, University of Southern California, Los Angeles, 90089, California, USA. Departments of Electrical Engineering, Chemistry and Physics, University of Southern California, Los Angeles, 90089, California, USA. Maria Spiropulu Department of Physics, California Institute of Technology, Pasadena, 91125, California, USA. Nature 2017-10-19 https://doi.org/10.1038/nature24047 eng

Additional details

Created:
September 8, 2022
Modified:
November 18, 2022