diff --git a/higgs_dna/tools/mass_decorrelator.py b/higgs_dna/tools/mass_decorrelator.py
index 641f19b5fb09f0f0af1369ac53caa58e4dc70c6d..30817ca3229329836dea7a263f455303de047087 100644
--- a/higgs_dna/tools/mass_decorrelator.py
+++ b/higgs_dna/tools/mass_decorrelator.py
@@ -5,7 +5,7 @@ import numpy as np
 import higgs_dna.tools.decorrelator as decorr
 
 
-def decorrelate_mass_resolution(events: awkward.Array, type: str, year):
+def decorrelate_mass_resolution(events: awkward.Array, type: str, year, IsSAS_ET_Dependent=False):
 
     # type = "nominal","smeared","corr","corr_smeared"
 
@@ -44,9 +44,15 @@ def decorrelate_mass_resolution(events: awkward.Array, type: str, year):
     elif (type == "corr_smeared"):
 
         if (year == "2022postEE"):
-            decl.loadCdfs(os.path.dirname(__file__) + '/decorrelation_CDFs/postEE/sigma_m_smeared_corr_postEE_CDFs.pkl.gz')
+            if IsSAS_ET_Dependent:
+                decl.loadCdfs(os.path.dirname(__file__) + '/decorrelation_CDFs/postEE/Paper_postEE_CDFS_v3.pkl.gz')
+            else:
+                decl.loadCdfs(os.path.dirname(__file__) + '/decorrelation_CDFs/postEE/sigma_m_smeared_corr_postEE_CDFs.pkl.gz')
         else:
-            decl.loadCdfs(os.path.dirname(__file__) + '/decorrelation_CDFs/preEE/sigma_m_smeared_corr_preEE_CDFs.pkl.gz')
+            if IsSAS_ET_Dependent:
+                decl.loadCdfs(os.path.dirname(__file__) + '/decorrelation_CDFs/preEE/Paper_preEE_CDFS_v3.pkl.gz')
+            else:
+                decl.loadCdfs(os.path.dirname(__file__) + '/decorrelation_CDFs/preEE/sigma_m_smeared_corr_preEE_CDFs.pkl.gz')
         df["sigma_m_over_m"] = events.sigma_m_over_m_Smeared_corr.to_numpy()
 
     else:
diff --git a/higgs_dna/workflows/base.py b/higgs_dna/workflows/base.py
index 801cc31a54d7914245b4fbd530dc6c7471ff1013..91b2a41dea9b584b1d816a05d908c5b6efb1cc18 100644
--- a/higgs_dna/workflows/base.py
+++ b/higgs_dna/workflows/base.py
@@ -939,7 +939,12 @@ class HggBaseProcessor(processor.ProcessorABC):  # type: ignore
 
                 # decorrelate flow corrected smeared sigma_m_over_m
                 if (self.doFlow_corrections and self.Smear_sigma_m):
-                    diphotons["sigma_m_over_m_corr_smeared_decorr"] = decorrelate_mass_resolution(diphotons, type="corr_smeared", year=self.year[dataset_name][0])
+                    if self.data_kind == "data" and "Et_dependent_Scale" in correction_names:
+                        diphotons["sigma_m_over_m_corr_smeared_decorr"] = decorrelate_mass_resolution(diphotons, type="corr_smeared", year=self.year[dataset_name][0], IsSAS_ET_Dependent=True)
+                    elif self.data_kind == "mc" and "Et_dependent_Smearing" in correction_names:
+                        diphotons["sigma_m_over_m_corr_smeared_decorr"] = decorrelate_mass_resolution(diphotons, type="corr_smeared", year=self.year[dataset_name][0], IsSAS_ET_Dependent=True)
+                    else:
+                        diphotons["sigma_m_over_m_corr_smeared_decorr"] = decorrelate_mass_resolution(diphotons, type="corr_smeared", year=self.year[dataset_name][0])
 
                 # Instead of the nominal sigma_m_over_m, we will use the smeared version of it -> (https://indico.cern.ch/event/1319585/#169-update-on-the-run-3-mass-r)
                 # else:
diff --git a/higgs_dna/workflows/dystudies.py b/higgs_dna/workflows/dystudies.py
index de840d31d46add3b2562dfe5aace4f3458f16921..57ddc33ad931bd4bda36b6334835dacfae03b03b 100644
--- a/higgs_dna/workflows/dystudies.py
+++ b/higgs_dna/workflows/dystudies.py
@@ -160,9 +160,9 @@ class TagAndProbeProcessor(HggBaseProcessor):
         # Since now we are applying Smearing term to the sigma_m_over_m i added this portion of code
         # specially for the estimation of smearing terms for the data events [data pt/energy] are not smeared!
         if self.data_kind == "data" and self.Smear_sigma_m:
-            if "Smearing" in correction_names:
+            if "Scale" in correction_names:
                 correction_name = "Smearing"
-            elif "Et_dependent_Smearing" in correction_names:
+            elif "Et_dependent_Scale" in correction_names:
                 correction_name = "Et_dependent_Smearing"
             else:
                 logger.info('Specify a scale correction for the data in the corrections field in .json in order to smear the mass!')
diff --git a/higgs_dna/workflows/zee_processor.py b/higgs_dna/workflows/zee_processor.py
index c30829fd92c1974e047f3c2aef7bd1155e27b3c1..67ca58baa395d5c734850674edea2e32cc1233bc 100644
--- a/higgs_dna/workflows/zee_processor.py
+++ b/higgs_dna/workflows/zee_processor.py
@@ -180,9 +180,9 @@ class ZeeProcessor(HggBaseProcessor):
         # Since now we are applying Smearing term to the sigma_m_over_m i added this portion of code
         # specially for the estimation of smearing terms for the data events [data pt/energy] are not smeared!
         if self.data_kind == "data" and self.Smear_sigma_m:
-            if "Smearing" in correction_names:
+            if "Scale" in correction_names:
                 correction_name = "Smearing"
-            elif "Et_dependent_Smearing" in correction_names:
+            elif "Et_dependent_Scale" in correction_names:
                 correction_name = "Et_dependent_Smearing"
             else:
                 logger.info('Specify a scale correction for the data in the corrections field in .json in order to smear the mass!')