@@ -94,10 +94,10 @@ The above figures show the variation in $`\gamma`$ with respect to the rank of t
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.
## Injection study
Here, we show the variation in $`\beta`$ due to the different choices of the rank of the covariance matrix for a set of identical injections. We produce the injected waveform using the parameters of the maximum likelihood sample.
Here, we show the variation in $`\beta`$ due to the different choices of the rank of the covariance matrix for a set of identical injections. We produce the injected waveform using the parameters of the maximum likelihood sample.
The black dashed trace shows the median, which increases rapidly for first few basis vectors, and then it increases slowly. This feature is similar to the $`\gamma`$ versus rank plot.
The black dashed trace shows the median, which increases rapidly for both the events for the first few basis vectors, and then it increases slowly. This feature is similar to the $`\gamma`$ versus rank plot. The $`\beta`(Index)$ in the region of less important basis vectors becomes oscillatory. But the $`\beta`(Index)$ of GW190814 is less oscillatory then the case of GW190412. It happens due to the fact that m=3 multipole in GW190814 is quite stronger than the Gw190412 event.
