diff --git a/PeakOTron.py b/PeakOTron.py
index 8e4c289f73e8c4d5bb2f27e7a437e40988971636..d4d6717481595fb034dc6ac8dd32b249964de2ee 100644
--- a/PeakOTron.py
+++ b/PeakOTron.py
@@ -217,7 +217,7 @@ class PeakOTron:
                       "Gamma",
                       "gamma",
                       "Delta",
-                      "delta",
+#                       "delta",
                       "Epsilon",
                       "epsilon",
                       "Zeta",
@@ -1347,7 +1347,7 @@ class PeakOTron:
         self.scaler = RobustScaler()
         data_s = np.squeeze(self.scaler.fit_transform(data.reshape(-1,1)))
         
-       if(bw is None):
+        if(bw is None):
   
             ppf = self.EmpiricalPPF(data_s)
         
@@ -1385,20 +1385,7 @@ class PeakOTron:
             bins_s = data_s.min() + bw_s * np.arange(nbins_s + 1)
         
 
-        else:
-            
-            bw_s = bw/self.scaler.scale_[0]
-            
-            nbins = np.ceil((data.max() - data.min()) / bw)
-            nbins = max(1, nbins)
-            bins = data.min() + bw * np.arange(nbins + 1)
-                        
-            nbins_s = np.ceil((data_s.max() - data_s.min()) / bw_s)
-            nbins_s = max(1, nbins_s)
-            bins_s = data_s.min() + bw_s * np.arange(nbins_s + 1)
-            
-    
-    
+ 
                        
         if(nbins<50):
             print("Binning with bw = {:3.3E} produced only {:d} bins, less than limit of 50 bins. Setting fit fail status and continuing...".format(bw, nbins))