are expected, the  candidates are required to have of at least 100 and 170respectively, while, for the same channels, the candidates are required to have of at least 100 and 120. In the 2L channel, where the background from production is much smaller and the effective signal cross section is also lower, two regions are considered: a low-[$\pt(\PV)$]{}region defined by $50 < {\ensuremath{\pt(\PV)}\xspace}< 150\GeV$ and a high-[$\pt(\PV)$]{}region with ${\ensuremath{\pt(\PV)}\xspace}> 150$(no upper cut is applied on ${\ensuremath{\pt(\PV)}\xspace}$). In [$\PV\PH(\PH\to \PQc \PAQc)$]{} signal events, the vector boson is typically produced in the azimuthal direction opposite to that of the boson. Therefore, an additional requirement on the difference in azimuthal angle between the reconstructed and candidate, [$\Delta\phi(\PV,\PH)$]{} $>$2.5 ($>$2.0 in the 0L channel), is applied.

In the signal regions defined by the application of the selection criteria mentioned above, a boosted decision tree (BDT) with gradient boost [@Hocker:2007ht] has been trained to enhance the signal separation from background. Separate BDTs have been trained for 0L, 1L, and 2L (low-[$\pt(\PV)$]{}and high-[$\pt(\PV)$]{}) channels. The distributions of all variables used to construct the BDT discriminator and hence the BDT distribution itself are taken from simulation after the application of the corrections detailed in Section \[sec:mcsamples\]. Table 