DI-Higgs ML Tutorial data

HEP search analysis Monte Carlo simulation dataset for ML tutorials.

Available in both CSV and ROOT format.

Signal 'gen_target = 1'  is standard model non-resonant di-Higgs via gluon fusion -> bb tautau

Background 'gen_target = 0' is fully-leptonic ttbar

Sample is post skim selecting events in the mu tau_h channel

• b_0 = b-jet with highest pT
• b_0 = b-jet with second highest pT
• t_0 = hadronically decaying tau lepton
• t_1 = muon resulting from tau lepton decay
• mPT = missing transverse momentum
• h_bb = ℎ→𝑏𝑏, h→bb candidate (vector sum of b_0 and b_1)
• h_tt = ℎ→𝜏𝜏, h→ττ candidate (vector sum of t_0 and t_1 and mPT)
• diH = di-Higgs vector (the vector sum of h_bb and h_tt)

Signal generation: MadGraph -> Pythia -> Delphes

Background generation: Powheg -> Pythia -> Delphes

Centre of mass energy is sqrt(13 TeV), Delphes detector simulation is for a general purpose in between the ATLAS and CMS detectors.