Result-Review-O3b-lensing.md

@@ -19,7 +19,6 @@ This repository deals with the result review of the machine learning based pipel
 |--------|-------------------|--------|----------|---------|----------------|
 | [ml_predict_workflow.py](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/package/lensid/ml_predict_workflow.py), [config_O3_events.yaml](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/config_O3_events.yaml) | Script for computing ML predictions for a given event pairs in dataframe, their skymaps, Qtransforms and the trained ML models. Optionally computes the False Positive Probabilities given the background. It requires config file as input. Eg: `lensid_make_predictions -config /home/srashti.goyal/lensid-ml-O3/config_O3_events.yaml` Note: change `odir` in **config** file. | -------- | ---------- | DC: Should be considered in the results review | ---------------- |
 | [config_train_test_workflow.yaml](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/train_test_workflow/config_train_test_workflow.yaml) | config file for training and testing ML models. Note: change `base_out_dir` as desired. | OK-DC; question-jrc |  |  |  |
-| [train_three_densenets.py]
 | [get_candidates_compare_to_blu_tagged.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/O3_ML_gwtc3/get_candidates_compare_to_blu_tagged.ipynb) | Notebook for comparing ML and BLU results for the full O3 catalogue of BBHs. | -------- | ---------- | --------- | ---------------- |
 | [condor_lensid_make_predictions.py](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/condor_lensid_make_predictions.py), [config_O3_events.yaml](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/config_O3_events.yaml) | Condor Script for computing ML predictions and FPPs using, [ml_predict_workflow.py](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/package/lensid/ml_predict_workflow.py). Eg: `python condor_lensid_make_predictions` Note: change `exec_file_loc` in the script according to your installation and `odir` in config file. | OK-DC | ca47c5ce71fa7405b84c944235a8646abcd216d4 | --------- | ---------------- |
 
@@ -30,15 +29,14 @@ This repository deals with the result review of the machine learning based pipel
 | [train_test_pars.ipynb](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/review/train_test_pars.ipynb) | Notebook having plots of injection parameters for training, testing and O3a sets that are used. | ------ | -------- | ------- | -------------- |
 | [ML_blu_FPPs_inj_pars_investigate.ipynb](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/review/ML_blu_FPPs_inj_pars_investigate.ipynb) | Notebook comparing the ML and BLU FPPs for each pair in test set, and also investigationg correlations with the injection parameters. Also contain statistics of input sky features for lensed and unlensed test pairs. | ------ | -------- | ------- | -------------- |
 | [PSD_plots.ipynb](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/review/PSD_plots.ipynb) | Notebook having plots of PSDs that are used. | ------ | -------- | ------- | -------------- |
+|[hp_cartview.ipynb](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/review/hp_cartview.ipynb) | Sanity check for bayestar skymaps to see overall probability and the overlap calculation for carteskan projection v/s the flattened fits. | -------- | ------- | --------- | ---------------- |
 | [background_injections_ML_blu.ipynb](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/notebooks/O3a_events/background_injections_ML_blu.ipynb) | Notebook showing ML and BLU outputs for the background unlensed injections as simulated by Haris during O3a analysis. | ------ | -------- | ------- | -------------- |
 | [investigations_visualisations.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/review/investigations_visualisations.ipynb) | Notebook to visualise qtransforms and skymaps of the interesting candidate real event pairs. | -------- | Should this be reviewed? | --------- | ---------------- |
 | [comparison_with_golum.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/review/comparison_with_golum.ipynb) | Notebook to compare the Golum's results with lensid and posterior overlap FPPs for the candidate pairs in O3 | -------- | ------- | --------- | ---------------- |
 | [optimise_densenets.py](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/development/optimise_densenets.py) [notebook] | Optimise densenet learning rates, with and without whitening of strain | -------- | ------- | --------- | ---------------- |
-|[optimise_XGB_QTs.ipynb](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/development/optimise_XGB_QTs.ipynb) | Optimise XGBoost algotithm for ML with qtransforms hyperparameters | -------- | ------- | --------- | ---------------- |
+|[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. | -------- | ------- | --------- | ---------------- |
 
 ## Results
 
 In progress: [page](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/wikis/O3-result-updates)
-## O3b paper
-|[notebook](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/O3_ML_gwtc3/plot_ml_blu_predictions.ipynb)| Plot for selecting the pairs for Joint-PE analysis.| -------- | ------- | --------- | ---------------- |