siqm-post-o3a-plans.md

@@ -2,19 +2,18 @@
 
 This page is for 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 on this page. Milestones are marked :white_check_mark: once achieved. The plans are below.
 
-
 # Deriving constraints that can be used to constrain the BH mimicker parameter space
 
-Currently our bounds are powerful in terms of searching for non-BH signatures but are not useful in constraining the parameter space of BH mimickers due to the strong assumptions that has gone in. There are two scenarios where this test can yield bounds that are more useful for theoretical community.
-[Dedicated page](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/constrain-BH-mimicker-parameter-space)
+Currently our bounds are powerful in terms of searching for non-BH signatures but are not useful in constraining the parameter space of BH mimickers due to the strong assumptions that has gone in. There are two scenarios where this test can yield bounds that are more useful for theoretical community. [Dedicated page](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/constrain-BH-mimicker-parameter-space)
 
 * Test the BH nature of the BH that has a lower limit on spin that excludes zero, assuming the companion (whose spins are badly constrained and for which kappa will be badly measured) to be a BH.
 * Use those BBHs for which have useful constraints in the kappa1-kappa2 space and combine these two dimensional posteriors.
 
 Both can yield meaninful constraints on the BH mimicker parameter space, though the first one is more restrictive in some sense, but may yield stronger constraints. We already have results for this, as I understand.
-__________________________________________________________
 
-# Inference on the population of BBH or BH mimicker binaries
+---
+
+# Inference on the population of BBH or BH mimicker binaries :white_check_mark:
 
 Use the O1/O2 population to make predictions on our future capability to identify BBH and non-BBH populations. [Dedicated page](SIQM-population-inference)
 
@@ -22,18 +21,17 @@ Use the O1/O2 population to make predictions on our future capability to identif
 
 * 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). 
-    
+  * 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 favor of BBH (Saleem+).
 
-__________________________________________________________
+---
 
 # Stealth/systematic biases in the compact binary parameter estimation due to spin induced moments.
 
-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. [Dedicated page](Stealth bias)
+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. [Dedicated page](Stealth%20bias)
 
 ### Milestones
 
@@ -41,11 +39,11 @@ To assess how the presence of a non-BH compact object with spin-induced deformat
 * Revisit the basic idea and take stock of the existing studies and results (Krishnendu).
 * Drafting
 
-__________________________________________________________
+---
 
 # Measuring spin induced deformations for signals with significant higher harmonics
 
-To explore how the measurement of kappaS is possible for signals with higher harmonics and precession are evident. The results with GW190412 and GW190814 should also be shown. [Dedicated page](higher modes and precession)
+To explore how the measurement of kappaS is possible for signals with higher harmonics and precession are evident. The results with GW190412 and GW190814 should also be shown. [Dedicated page](higher%20modes%20and%20precession)
 
 ### Milestines
 
@@ -55,27 +53,28 @@ To explore how the measurement of kappaS is possible for signals with higher har
 * Krishnendu/Saleem: Decide on the injections and finish jobs, make the inference
 * Make a draft!
 
-__________________________________________________________
+---
 
 # Detectability of non-BH binaries with BBH template banks
 
-A [recent paper](https://arxiv.org/abs/2004.06729) argued that if $\delta\kappa > 20$, then BBH template banks might miss them. We need to revisit this with more realistic settings such as IMR waveforms and low spin events etc. 
+A [recent paper](https://arxiv.org/abs/2004.06729) argued that if $\\delta\\kappa > 20$, then BBH template banks might miss them. We need to revisit this with more realistic settings such as IMR waveforms and low spin events etc.
 
-__________________________________________________________
+---
 
 # Action items (currently unfinished)
 
 * Krishnendu: submit all the 01-O2 events for imr case: :white_check_mark: [details](https://git.ligo.org/nv.krishnendu/lalsuite/-/wikis/SIQM-population-inference/o1-o2-event-details)
- * Krishnendu/Saleem: Discuss and start PE for an astrophysical population of BBHs assuming random noise. Decide if we can use the 0noise runs for this. Refer to this [figure](https://ldas-jobs.ligo.caltech.edu/~muhammed.saleem/siqm_pp_test/figure_pdf_deltakappaS_all_runs.png) for the explanation.
- * Saleem: Get input from others on the above argument where we plan to make noise effects on 0noise runs.
- * BBH v/s non-BBH population: Assume a mixture population: constrain the fraction f of BBHs (show f peaks at 1?)
+* Krishnendu/Saleem: Discuss and start PE for an astrophysical population of BBHs assuming random noise. Decide if we can use the 0noise runs for this. Refer to this [figure](https://ldas-jobs.ligo.caltech.edu/\~muhammed.saleem/siqm_pp_test/figure_pdf_deltakappaS_all_runs.png) for the explanation. :white_check_mark:
+* Saleem: Get input from others on the above argument where we plan to make noise effects on 0noise runs. :white_check_mark:
+* BBH v/s non-BBH population: Assume a mixture population: constrain the fraction f of BBHs (show f peaks at 1?) :white_check_mark:
 * Saleem: (discarded for the moment) using simple combining produced no. of events v/s bounds plot (use 1k events by simple scaling)
 * Saleem: (discarded for the moment) Repeat the same in the hierarchical framework
 
 Stealth bias:
+
 * Krishnendu/Saleem: Launch runs
 * Krishnendu: Revisit the basic idea and get a rough draft
- * Saleem: Push all the remaining stuff
+* Saleem: Push all the remaining stuff :white_check_mark:
 
 Precession higher modes