I've added a personal colour styling choice for a certain signal sample, a control variable group and process-setting group and commented the HH -> bbtautau signal sample out in the first commit.
In the second commit I changed the definition of the m_bb variable for the boosted HbbJets, so I can use this variable in the inference model.
The third commit adds the vbf signal output node to the machine learning model, adds the vbf category to the ml categorization and I've created three new ml-variables, that target the vbf channel. These variables are the delta eta between two Jets from the VBFJet-Collection from the selection, the invariant mass of these jets and a simple tag that checks if there are at least two VBFJets for the event or not.
I've added a personal colour styling choice for a certain signal sample, a control variable group and process-setting group and commented the HH -> bbtautau signal sample out in the first commit.
In the second commit I changed the definition of the m_bb variable for the boosted HbbJets, so I can use this variable in the inference model.
The third commit adds the vbf signal output node to the machine learning model, adds the vbf category to the ml categorization and I've created three new ml-variables, that target the vbf channel. These variables are the delta eta between two Jets from the VBFJet-Collection from the selection, the invariant mass of these jets and a simple tag that checks if there are at least two VBFJets for the event or not.