Issues-with-covaraince-matrix.md

@@ -74,5 +74,5 @@ The effective-rank of the covariance matrix needs to be tuned for each event usi
 <img src="uploads/fe96e535c7f921b3b65f8ba209c47d68/beta_lambda_nalpha_2_.png"  width="440" >
 <img src="uploads/27ac1831fe2b94185cc51bcdba11d53c/beta_lambda_nalpha_3_.png"  width="440" >
 
-The above figuers show the variation in $`\beta`$ with respect to the rank of the covariance matrix for off-source samples. The plots are produced using the off-source samples obtained for maximum likelihood samples which are reported in the above tables. We can see that the $`\beta`$ values are nearly equal to zero when the rank is very low. But, its modulus value increases sharply when the rank of the matrix O(10).
+The above figuers show the variation in $`\beta`$ with respect to the rank of the covariance matrix for off-source samples. The plots are produced using the off-source samples obtained for maximum likelihood samples which are reported in the above tables. We can see that the $`\beta`$ values are nearly equal to zero when the rank is very low. But, its modulus value increases sharply within a rank value of 10.