diff --git a/script/test/WireScanTest2.py b/script/test/WireScanTest2.py
index 941b633..67f6e0b 100644
--- a/script/test/WireScanTest2.py
+++ b/script/test/WireScanTest2.py
@@ -9,16 +9,24 @@ for i in range(len(blms)):
     bg = get_attributes(path_back)["Mean"]    
     for cycle in range (cycles):    
         pos = load_data(root + wire+"_" + ("%04d" % (cycle+1)) + "/w_pos")
-        path = root + wire+"_" + ("%04d" % (cycle+1)) + "/blm" + str(j+1)
-        sig = load_data(path)         
-        sig = blm_remove_spikes(sig)
-        if bg is not None:
-            sig = [v-bg for v in sig]        
+        path = root + wire+"_" + ("%04d" % (cycle+1)) + "/blm" + str(i+1)
+        data = load_data(path)         
+        sp = blm_remove_spikes(data)
+        sig = sp if bg is None else [v-bg for v in sp]   
+            
         [com, rms] = profile_rms_stats(pos, sig,noise_std=0, n_sigma=3.5)
-        set_attribute(path, "RMS", float("nan") if (rms is None) else  rms)            
-        set_attribute(path, "RMS centroid", float("nan") if (com is None) else com)            
-        #print i, j, [com, rms]
+        #set_attribute(path, "RMS", float("nan") if (rms is None) else  rms)            
+        #set_attribute(path, "RMS centroid", float("nan") if (com is None) else com)            
+        print i, j, [com, rms]
         [off, amp, com, sigma] = profile_gauss_stats(pos, sig, off=None, amp=None, com=None, sigma=None)
-        set_attribute(path, "Gauss COM", float("nan") if (com is None) else com)            
-        set_attribute(path, "Gauss Sigma", float("nan") if (sigma is None) else sigma)                                            
-        #print i, j, [off, amp, com, sigma]
+        #set_attribute(path, "Gauss COM", float("nan") if (com is None) else com)            
+        #set_attribute(path, "Gauss Sigma", float("nan") if (sigma is None) else sigma)                                            
+        print i, j, [off, amp, com, sigma]
+
+        from mathutils import Gaussian
+        g = Gaussian(amp, com, sigma)
+        gauss = [g.value(i)+off for i in pos]
+
+        plot([data, sp, sig, gauss], ["data", "sp", "signal", "gauss", ], xdata = pos, title="Fit blm" + str(i+1) + " - " + str(cycle+1))   
+        
+