Action items for siqm pop study

Data/Runs related:
- Go through the kappa_s posteriors, pick the bad ones and investigate reasons (Krishnendu: Uniform-Pos runs 0-7 should be investigated)
- Once we have the reasons, discuss offline and rerun systematically (Krishnendu + Saleem)
- Parallelly, remove the bad looking ones and make new plots and update to draft (Krishnnedu)
Draft related
- Work on the results section of the draft (Saleem)
- We may need to alter the mixture population models slightly by adding two cases and removing two. Ones to be added are, f_bh = 0.0 (NBBHs), with all positive ( case 1) and f_bh = 0.0 (NBBHs), with all negative (case 2). For mixture (half from BBHs), f_bh = 0.5 and take non-BBHs from uniform+GaussPos+GaussNeg positive and negative (case 3) and take only positive non-BBHs (case 4). The current pop1 and pop2 will stay (Krishnendu/ Saleem)
Make fbh vs logB (BBH vs mixture). This will tell what fraction of non-BBH is required to detect the non-BBH presence. Add the numbers in the abstract.

Run post-processing on Uniform population
Pick the well-behaved runs from all population
- List of problematic runs in each population

pop model	problematic runs	no. of runs can be used
pop-uniform (aligned)	run1 (only BH-BH done), run5 (only BH-BH done), run8 (BH-BH missing), run9 (NBH-NBH missing), run 11 (BF issue), run13 (NBH-NBH missing), run14 (NBH-NBH and BH-BH missing)	10
pop-gaus-pos (aligned)	run5 (NBH-NBH missing), run6 (BH-NBH and NBH-BH missing), run8 (bimodal DL for BH-BH case)	12
pop-gaus-neg (aligned)		NA
pop-uniform (precessing)	run53 (DL bibodal), run59 (DL issue)	28
pop-gaus-pos (precessing)	run20 (DL bimodal), run22 (NBH-NBH missing), run26 (DL issue), run25 (DL issue), run28 (DL bimodal)	10
pop-gaus-neg (precessing)	run17 (DL bibodal), run22 (DL bibodal), run23 (DL bibodal)	12

Edited Oct 12, 2021 by Muhammed Saleem