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This page is for a top-level control of all the ongoing activities. Avoid adding low-level details which can be added as additional pages linked from here. At present, we think of three follow-up studies to be concluded in the next three months. The broader idea and the milestones are given in this page. Milestones are marked :white_check_mark: once achieved. The plans are below
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This page is for a top-level management of all the ongoing activities. Avoid adding low-level details which can be added as additional pages linked from here. At present, we think of three follow-up studies to be concluded in the next three months. The broader idea and the milestones are given in this page. Milestones are marked :white_check_mark: once achieved. The plans are below
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... | ... | @@ -7,7 +7,8 @@ This page is for a top-level control of all the ongoing activities. Avoid adding |
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* **Idea**: Use the O1/O2 population to make predictions on our future capability to identify BBH and non-BBH populations.
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**Milestones**
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### Milestones
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* 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
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* 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 repeatation of 10 O1-O2 events with suitable SNR scaling such that they follow 1/rho^4 distribution (Saleem).
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* Repeat the same in Hierarchical framework such that we can constrain the fraction of events that is in favour of BBH (Saleem+).
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# Stealth/systematic biases in the compact binary parameter estimation due to spin induced moments.
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* Krishnendu/Saleem: Launch runs
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* Krishnendu: Revisit the basic idea and get a rough draft
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* Saleem: Push all the remaining stuff
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**Idea**: To assess how the presence of a non-BH compact object with spin-induced deformations can bias the inferences of binary parameters such as masses, spins and distances. Preliminary studies are done and found that the spin inference is most affected by ignoring the non-unity value of kappa parameter. Apart from reporting how different parameters get affected, it might be worth also exploring how the formation scenarios inferences (based on effective spin distribution) can also get biased.
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### Milestones
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* Launch all the required runs. The injection parameters are created. Stuck at some technical point in reproducing the correct SNR (the run identifies a different sky-location than the one injected). Krishnendu/Saleem
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* Revisit the basic idea and take stock of the existing studies and results (Krishnendu).
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* Drafting
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===============
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# Measuring spin induced deformations for signals with significant higher harmonics
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* Saleem: circulate existing results with main conclusions
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