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.