correlate fake related nuisances by categories and remove fakes nc slope nuisance

models/common.py

@@ -39,6 +39,12 @@ class StatModelBase(Datacard):
         ret.update(
             fake_nc_nom_e=f"CMS_bbww_sl_FakeRate_nc_nom_e_{self.category}_{self.year}",
             fake_nc_nom_mu=f"CMS_bbww_sl_FakeRate_nc_nom_mu_{self.category}_{self.year}",
+            fake_electrons_barrel=f"CMS_bbww_sl_FakeRate_e_barrel_{self.year}",
+            fake_electrons_nom=f"CMS_bbww_sl_FakeRate_e_norm_{self.year}",
+            fake_electrons_pt=f"CMS_bbww_sl_FakeRate_e_pt_{self.year}",
+            fake_muons_barrel=f"CMS_bbww_sl_FakeRate_m_barrel_{self.year}",
+            fake_muons_nom=f"CMS_bbww_sl_FakeRate_m_norm_{self.year}",
+            fake_muons_pt=f"CMS_bbww_sl_FakeRate_m_pt_{self.year}",
             # TriangleExtrapolation=f"CMS_bbww_sl_TriangleExtrapolation_{self.category}_{self.year}",
         )
         return ret
@@ -442,7 +448,7 @@ class StatModelBase(Datacard):
 
         # Fakes non-closure
         self.add_systematics(
-            names="fake_nc_*",
+            names="fake_nc_nom_*",
             type="shape",
             strength=1.0,
             processes={"fakes"},