• Two multivariate discriminators, based on observables from the 1bjet and 2bjets regions, are used to enhance the separation be- tween signal and background processes.

• The discriminators are based on the BDT algorithm implemented in the toolkit for multivariate analysis TMVA. The BDT is trained using the simulated samples.

• The predictions for some of the most discriminating variables in the BDT for the 1bjet and 2bjets regions are compared to data

• The best-fit signal strength and cross section, as well as an approximate 68% CL interval, are extracted following the profile likelihood scan procedure

Link to PUBLISHED ARTICLE Link to github