diff --git a/quality_cuts/quality_cuts.py b/quality_cuts/quality_cuts.py
index ee09c40..2e19844 100644
--- a/quality_cuts/quality_cuts.py
+++ b/quality_cuts/quality_cuts.py
@@ -3,7 +3,7 @@
 def quality_cuts(df):
 
     """
-     All the nonesences ( $\chi$2 < 0), inf and nan were deleted. Also applied
+     All the numerical artifacts ( $\chi$2 < 0), inf and nan were deleted. Also applied
      quality cuts based on detector geometry. Full description could be found in
      https://docs.google.com/document/d/11f0ZKPW8ftTVhTxeWiog1g6qdsGgN1mlIE3vd5FHLbc/edit?usp=sharing
 
@@ -24,8 +24,8 @@ def quality_cuts(df):
     chi2_cut = (df['chi2geo'] > 0) & (df['chi2primpos'] > 0) & (df['chi2primneg'] > 0) &\
            (df['chi2topo'] > 0)
     mass_cut = (df['mass'] > 1.077)
-    angle_cut = (df['cosinepos'] > 0) & (df['cosineneg']>0)
-    coord_cut = (df['z'] > 0 ) & (abs(df['x']) < 50) & (abs(df['y']) < 50)
+
+    coord_cut = (abs(df['x']) < 50) & (abs(df['y']) < 50)
     dist_l_cut = (df['distance'] > 0) &  (df['distance'] < 100) &\
                      (df['l'] > 0 )  & (df['ldl'] > 0 ) & (abs(df['l']) < 80)