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Update siqm post o3a plans authored by NV Krishnendu's avatar NV Krishnendu
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siqm-post-o3a-plans.md
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......@@ -8,16 +8,14 @@ Use the O1/O2 population to make predictions on our future capability to identif
### Milestones
* Perform IMR runs with kappaS on all the 01-O2 events (Krishnendu). Until the results are available, analysis will be performed with ISCO results that are currently available
* For a demonstration of the method, start with an astrophysical population of BBH signals ([following o2-rate and population paper]()) as injections and recover them assuming random Gaussian noises.
* In order to understand the mixed population we also need to have injections with non-BH values of \kappa injected for 50% of the injections.
* Notice that this analysis is completely independent of the stealth bias study described below where we need 0noise study.
* Perform IMR runs with kappaS on all the 01-O2 events (Krishnendu). Until the results are available, the analysis will be performed with ISCO results that are currently available
* For a demonstration of the method, start with an astrophysical population of BBH signals (following [o1-o2-rate and population paper](https://arxiv.org/abs/1811.12940)) as injections and recover them assuming random Gaussian noises.
* In order to understand the mixed population we also need to have injections with non-BH values of \kappa injected for 50% of the injections (right now this analysis is independent of the stealth bias study described below where we need 0noise injections).
* Previous discussions:
* For making statements about the injected population (this method was discarded bcz the noise effect can not be quantified if we follow this):
* Using simple combining, produce the no. of events v/s bounds on Ks plot for up to 1000 events. This is done by assuming that the population of 1000 events is made by the repetition of 10 O1-O2 events with suitable SNR scaling such that they follow 1/rho^4 distribution (Saleem).
* Repeat the same in Hierarchical framework such that we can constrain the fraction of events that is in favour of BBH (Saleem+).
* Repeat the same in Hierarchical framework such that we can constrain the fraction of events that is in favor of BBH (Saleem+).
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