Issues-with-covaraince-matrix.md

@@ -81,10 +81,14 @@ The above figures show the variation in $`\beta`$ for off-source samples with re
 <img src="uploads/b79e18a4ee6bd247d58d3aab806b8178/rank_gamma_gw190412_2_.png"  width="440" >
 <img src="uploads/7d12acced7e7ff9ab2b947bad9bfca07/rank_gamma_gw190814_1_.png"  width="440" >
 
-The above figures show the variation in $`\gamma`$ with respect to the rank of the covariance matrix for off-source samples.  The intrinsic parameter of maximum likelihood samples (reported in the above tables) are used to produce the plots. 
+The above figures show the variation in $`\gamma`$ with respect to the rank of the covariance matrix for off-source samples.  The intrinsic parameters of the maximum likelihood sample (reported in the above tables) are used to produce the plots. 
 
 ## LLR22 versus rank
 
-<img src="uploads/a2d44c117101b73d3feb36e291514f3e/LLR22_lambda_onsource_gw190412.png"  width="440" >
 
-The figure show the variation of LLR22 versus the rank of the covariance matrix. These results produced using the 5 largest likelihood samples.  
+
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+<img src="uploads/01ea636c0ee3913120028163d714bda0/LLR22_lambda_onsource_gw190412_1_.png"  width="440" >
+<img src="uploads/37318e5408bace5c9cc7473122233cbd/LLR22_lambda_onsource_gw190814.png"  width="440" >
+
+
+The figures show the variation of LLR22 versus the rank of the covariance matrix. These results produced using the 5 largest likelihood samples. The intrinsic parameter these samples are reported in the above tables. 
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