Result-Review-O3b-lensing.md

@@ -60,16 +60,18 @@ Git hash: 09e01c8972074ee4f44120afb9095ea76c458c9f
 | [optimise_densenets.py](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/development/optimise_densenets.py) | Optimise densenet learning rates, with and without whitening of strain | JRC: OK | 09e01c8972074ee4f44120afb9095ea76c458c9f | ---------------- |
 | [missing_strain_ML_qts.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/review/missing_strain_ML_qts.ipynb) | Implement XGBoost with QTs using imputed values instead of 1s(default) for the single/double detector real events. Additionally compare the results of PO and ML to Golum for the selected candidates. | JRC: 0K | 09e01c8972074ee4f44120afb9095ea76c458c9f | ---------------- |
 
-## Results
 
-In progress: [page](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/wikis/O3-result-updates)
+## O3b paper results
+
+PO and LensID results tracking [page](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/wikis/O3-result-updates).
 
-## O3b paper
 | Item | Short description | Status | git hash | Comment | final sign-off |
 |------|-------------------|--------|----------|---------|----------------|
 | [Event list](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/a0c855f18e7435d977f1fed5a2e806368fde15d8/data_download_preparation/O3_events_updated_1feb2022.txt) | List of events considered for the O3 lensing analysis | OK-JRC-------- | 4e81d2bb94c38960e6e5d2e4104c94679a78bb67 | --------- | :heavy_check_mark: |
 | [Final config](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/a0c855f18e7435d977f1fed5a2e806368fde15d8/config_O3_events_18022022.yaml) | Contains paths to the Qtransforms, Skymaps, background, machines used for producing the final results | OK-JRC-------- | 4e81d2bb94c38960e6e5d2e4104c94679a78bb67 | --------- | :heavy_check_mark: |
 | [Final results](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/09e01c8972074ee4f44120afb9095ea76c458c9f/O3_ML_gwtc3/results_21april_kaggle_re_pesky_18022022/ML_BLU_FPPs_imputed_missing_strains.csv) | Total 2415 pairs, 79 selected for Joint-PE follow up analysis by combine ML and PO pipelines | OK-JRC-------- | 09e01c8972074ee4f44120afb9095ea76c458c9f | --------- | :heavy_check_mark: |
+|[PO foreground results](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/0d8fab522c4194189fbf08dfed4dca0480f6b703/blu/O3_fg_bayes_factors_21april.txt)| PO statistics results used for FPP computations and making the plot. md5sum: `03f999e9c8eb3968506386cdfadb5461`|--------|----------|---------|----------------|
+|[PO background results](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/0d8fab522c4194189fbf08dfed4dca0480f6b703/blu/blu_injections.csv)| PO statistics background injection results used for FPP computations and making the plot. md5sum: `a85bbc0327a128ca29323fe697a7b3ef` |--------|----------|---------|----------------|
 | [PO and ML plot](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/09e01c8972074ee4f44120afb9095ea76c458c9f/O3_ML_gwtc3/results_21april_kaggle_re_pesky_18022022/ML_BLU_scatter_hist_FPPs.pdf) | ML and PO False positive probabilities for all the O3 pairs. Threshold of FPP = 0.01 signifies the pairs considered for joint-pe analysis. | OK-JRC-------- | 09e01c8972074ee4f44120afb9095ea76c458c9f | --------- | :heavy_check_mark: |
 
 ## Additional: Targeted Sub-threshold Search