Fig. 8.

Distributions of the observables used in the matrix-element-observable fit. a $T{O}_1({\tilde{\mathit{\kappa }}}_{HVV})+T{O}_2({\tilde{\mathit{\kappa }}}_{HVV})$, b $T{O}_1({\tilde{\mathit{\kappa }}}_{HVV})-T{O}_2({\tilde{\mathit{\kappa }}}_{HVV})$, for the Monte Carlo signal generated with $({\tilde{\mathit{\kappa }}}_{HVV}/{\mathit{\kappa }}_{\mathrm{SM}}=0,\pm 1;{\mathit{\kappa }}_{AVV}=0)$. c $T{O}_1({\tilde{\mathit{\kappa }}}_{AVV},\mathit{\alpha })$, d $T{O}_2({\tilde{\mathit{\kappa }}}_{AVV},\mathit{\alpha })$ for the Monte Carlo signal generated with $(({\tilde{\mathit{\kappa }}}_{AVV}/{\mathit{\kappa }}_{\mathrm{SM}})·tan\mathit{\alpha }=0,\pm 5;{\mathit{\kappa }}_{HVV}=0)$. e $\mathrm{BDT}(ZZ)$ for the Monte Carlo signal generated with $({\tilde{\mathit{\kappa }}}_{HVV}/{\mathit{\kappa }}_{\mathrm{SM}}=0,\pm 1;{\mathit{\kappa }}_{AVV}=0)$. The expected background contributions are shown as filled histograms on each plot