diff --git a/src/HHbbVV/processors/TTScaleFactorsSkimmer.py b/src/HHbbVV/processors/TTScaleFactorsSkimmer.py
index 6900f3db..4e3abf78 100644
--- a/src/HHbbVV/processors/TTScaleFactorsSkimmer.py
+++ b/src/HHbbVV/processors/TTScaleFactorsSkimmer.py
@@ -421,6 +421,8 @@ def process(self, events: ak.Array):
         # Lund Plane SFs
         #########################
 
+        lp_hist = None
+
         if dataset in ["SingleTop", "TTToSemiLeptonic", "TTToSemiLeptonic_ext1"]:
             match_dict, gen_quarks, had_bs = ttbar_scale_factor_matching(
                 events, leading_fatjets[:, 0], selection_args
@@ -431,13 +433,14 @@ def process(self, events: ak.Array):
             skimmed_events = {**skimmed_events, **match_dict}
 
             if np.any(top_matched):
-                sf_dict = get_lund_SFs(
+                sf_dict, lp_hist = get_lund_SFs(
                     year,
                     events[top_matched],
                     fatjets[top_matched],
                     fatjet_idx[top_matched].to_numpy(),
                     num_prongs,
                     gen_quarks[top_matched],
+                    weights_dict["weight"][top_matched],
                     trunc_gauss=True,
                     lnN=True,
                     gen_bs=had_bs[top_matched],  # do b/l ratio uncertainty for tops as well
@@ -490,7 +493,7 @@ def process(self, events: ak.Array):
             )
             self.dump_table(pddf, fname)
 
-        return {year: {dataset: {"totals": totals_dict, "cutflow": cutflow}}}
+        return {year: {dataset: {"totals": totals_dict, "cutflow": cutflow, "lp_hist": lp_hist}}}
 
     def postprocess(self, accumulator):
         return accumulator
diff --git a/src/HHbbVV/processors/corrections.py b/src/HHbbVV/processors/corrections.py
index 9f196c52..c64bdca0 100644
--- a/src/HHbbVV/processors/corrections.py
+++ b/src/HHbbVV/processors/corrections.py
@@ -391,7 +391,7 @@ def _get_lepton_clipped(lep_pt, lep_eta, lepton_type, corr=None):
 
 # Used only for validation region right now
 def add_lepton_weights(weights: Weights, year: str, lepton: MuonArray, lepton_type: str = "muon"):
-    ul_year = get_UL_year(year)
+    # ul_year = get_UL_year(year)
 
     cset = correctionlib.CorrectionSet.from_file(get_pog_json(lepton_type, year))
 
@@ -405,9 +405,9 @@ def add_lepton_weights(weights: Weights, year: str, lepton: MuonArray, lepton_ty
         lepton_pt, lepton_eta = _get_lepton_clipped(lep_pt, lep_eta, lepton_type, corr)
 
         values = {}
-        values["nominal"] = cset[json_map_name].evaluate(ul_year, lepton_eta, lepton_pt, "sf")
-        values["up"] = cset[json_map_name].evaluate(ul_year, lepton_eta, lepton_pt, "systup")
-        values["down"] = cset[json_map_name].evaluate(ul_year, lepton_eta, lepton_pt, "systdown")
+        values["nominal"] = cset[json_map_name].evaluate(lepton_eta, lepton_pt, "nominal")
+        values["up"] = cset[json_map_name].evaluate(lepton_eta, lepton_pt, "systup")
+        values["down"] = cset[json_map_name].evaluate(lepton_eta, lepton_pt, "systdown")
 
         # add weights (for now only the nominal weight)
         weights.add(f"{lepton_type}_{corr}", values["nominal"], values["up"], values["down"])