Despite the discovery of the Higgs boson in 2012, some questions remain open. Thus the introduction of new models that help to explain the remaining pieces is needed. For this purpose, improving the actual particle identification methods, like b tagging, are necessary since b quarks could be the entry to new physics because of their properties. The study aims to correct the double-b tagging efficiency measured in Monte Carlo using the scale factors to match the data efficiency, where the efficiency measured is defined as the number of events that satisfy the double-b tagging requirement divided by the total number of events. In this framework, we study the impact of the scale factor on the reconstruction of a fat jet using the double tagging algorithm on the frame of dark matter searches; considering the simplified model for dark matter called mono-Higgs, we could observe a pair of dark matter particles coupled to a new Z’ boson which could decay into a Higgs boson in the dark sector. Furthermore, if this Higgs boson is in the light state of the dark sector, it could decay into standard model particles visible as a pair of boosted b quarks. In this context, we define the scale factors using our double tagging since they are specific to this analysis. The scale factors needed are obtained with data taken during Run II (from 2016 to 2018) of the LHC with the CMS Experiment at CERN and MC events simulating the same conditions.