Result-Review-O3b-lensing.md

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 # Aim
 This repository deals with the result review of the machine learning based pipeline, [**lensid**](https://git.ligo.org/srashti.goyal/lensid), for the LVK O3b lensing analysis, to identify the potential strongly lensed candidate BBH event pairs.
 
@@ -155,7 +157,27 @@ In progress: [page](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/wikis/O3-r
 
 ### Action items:
 
-* [ ] Check the bayestar skymaps for all events, specially for S191103a-S191105e, and re-do the analysis based on correct channels and bayestar skymaps.
+* [x] Check the bayestar skymaps for all events, specially for S191103a-S191105e, and re-do the analysis based on correct channels and bayestar skymaps.
+
+
+## 1st and 9th March 2022
+
+* The input strains, Qtransforms, bayestar skymaps along with the PE skymaps are re-downloaded, using the channels and deglitched frames(using [config](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/data_download_preparation/events_config_golum_180222.json)) consistent with PE. Scripts modified: [data_download.py](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/data_download_preparation/data_download.py), [data_prepare.py](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/data_download_preparation/data_prepare.py).
+
+* Many of the events are double detector events in O3, hence we changed the strategy for getting predictions for ML with Qtransforms. Instead of using XGBoost machine we now multipy the DenseNet outputs for the individual detectors. [notebook](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/tree/master/O3_ML_gwtc3/results_3dec_kaggle_re_pesky_18022022)
+
+* We also discussed about the pair S191103a-S191105e. After using the PE skymaps ML FPP lowered, but still below the threshold. JR pointed out that the S191105e has weird looking Qtransform, in L1 detector, its not like a chirp but like a broken chirp with intensity in the middle rather than end.
+
+* We discussed about the latest results with ML, with new strategy, data and using PE skymaps. The candidates are followed up by Golum. We also discussed about how ML results compare with PO and Golum results. The lensing group is updated about it in a call.  Slides 33-36 [here](https://docs.google.com/presentation/d/10bIhtFae5RIJ3WBJg1Lcy7PueSKwxh1m2APRDN0w0PA/edit?usp=sharing).
+
+### Action items:
+
+* [ ] Update code review page with relevant git hashes and all the scripts/configs.
+
+* [ ] Visually inspect the pairs which are missed or preferred by ML, and try to identify the reason(s). 
+
+* [ ] Check if the background is needed to be updated.
 
 * [ ]  Make note of all possible improvements for O4 .
 
+* [ ] Make the plot that will go into the paper, with the latest ML and PO results.
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