diff --git a/Selection-code.md b/Selection-code.md
index 83be728..f40f131 100644
--- a/Selection-code.md
+++ b/Selection-code.md
@@ -245,14 +245,12 @@ runAllEff();
 .q
 ```
 
-Scan the significance in the MVA cut using the code in [[BDTcutScanner.cpp|BDTcutScanner.cpp]]. Don't mind the 2012 and 2016 tags, they are just dummies
+Scan the significance in the MVA cut using the code in [[BDTcutScanner.cpp|BDTcutScanner.cpp]]. Don't mind the 2012 and 2016 tags, they are just dummies.
 ```
 root
 .L BDTcutScanner.cpp+
 ScanSignalAndBckgndEstimation("2012",1,0.01,false,false,false,true)
 ScanSignalAndBckgndEstimation("2016",2,0.01,false,false,false,true)
-getMaxBDTresponse("2012",1,true,false,0,false,false)
-getMaxBDTresponse("2016",2,true,false,0,false,false)
 .q
 ```
 
@@ -261,6 +259,16 @@ Make a nice TGraph from the scan; when creating the scan, it can happen that eg
 python ReorganizeTGraph.py
 ``` 
 
+Now get nice plots of the maximal significance in the MVA cut using [[BDTcutScanner.cpp|BDTcutScanner.cpp]]. Still don't mind the 2012 and 2016 tags, they are just dummies.
+```
+root
+.L BDTcutScanner.cpp+
+getMaxBDTresponse("2012",1,true,false,0,false,false)
+getMaxBDTresponse("2016",2,true,false,0,false,false)
+.q
+```
+
+
 Use the MVA scan to plot the signal yields, apply the MVA cut and compare the yields to the CMS results (see [[SignalStudy.cpp|Signal Study]]). It also creates the tuples used by the [[FCNC fitter|FCNC fitter]] tagged as BDT output selection.
  ```
 root