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## Scripts/Configs
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## Scripts/Configs
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| Script | Short description | Status | git hash | Comment | final sign-off |
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| Script | Short description | Status | git hash | Comment | final sign-off |
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|--------|-------------------|--------|----------|---------|----------------|
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|--------|-------------------|--------|----------|---------|----------------|
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| [data_download.py](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/data_download_preparation/data_download.py) | Script for downloading events info, skymaps(.fits) from GraceDB and strain data from ligo servers using GWpy. Note: needs valid ligo key path(line 26) for accessing non-public data in Gracedb., eg: `/tmp/x509up\\\*` | DC: OK | 4e81d2bb94c38960e6e5d2e4104c94679a78bb67 | ------- | JRC------------ |
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| [data_download.py](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/data_download_preparation/data_download.py) | Script for downloading events info, skymaps(.fits) from GraceDB and strain data from ligo servers using GWpy. Note: needs valid ligo key path(line 26) for accessing non-public data in Gracedb., eg: `/tmp/x509up\\\\\\\*` | DC: OK | 4e81d2bb94c38960e6e5d2e4104c94679a78bb67 | ------- | JRC------------ |
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| [data_prepare.py](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/data_download_preparation/data_prepare.py) | Preparing Qtransform images, dataframes and skymaps for O3 real events given the event list and raw data downloaded from LIGO servers. Note: raw data on CIT is in `/home/srashti.goyal/lensid-ml-o3/data_download_preparation/O3` | DC: OK | 4e81d2bb94c38960e6e5d2e4104c94679a78bb67 | --- | -JRC------------- |
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| [data_prepare.py](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/data_download_preparation/data_prepare.py) | Preparing Qtransform images, dataframes and skymaps for O3 real events given the event list and raw data downloaded from LIGO servers. Note: raw data on CIT is in `/home/srashti.goyal/lensid-ml-o3/data_download_preparation/O3` | DC: OK | 4e81d2bb94c38960e6e5d2e4104c94679a78bb67 | --- | -JRC------------- |
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| [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. | JR: OK | ---------- | DC: Should be considered in the results review | -JRC--------------- |
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| [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. | JR: OK | ---------- | DC: Should be considered in the results review | -JRC--------------- |
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| [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. | JRC: OK | 09e01c8972074ee4f44120afb9095ea76c458c9f | --------- | -JRC--------------- |
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| [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. | JRC: OK | 09e01c8972074ee4f44120afb9095ea76c458c9f | --------- | -JRC--------------- |
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... | @@ -142,7 +142,7 @@ PO statistics results used for FPP computations and making the plot. md5sum: `03 |
... | @@ -142,7 +142,7 @@ PO statistics results used for FPP computations and making the plot. md5sum: `03 |
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09e01c8972074ee4f44120afb9095ea76c458c9f
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09e01c8972074ee4f44120afb9095ea76c458c9f
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<td>---------</td>
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<td>---------</td>
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<td>----------------</td>
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<td>:heavy_check_mark:</td>
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... | @@ -161,7 +161,7 @@ PO statistics background injection results used for FPP computations and making |
... | @@ -161,7 +161,7 @@ PO statistics background injection results used for FPP computations and making |
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09e01c8972074ee4f44120afb9095ea76c458c9f
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09e01c8972074ee4f44120afb9095ea76c458c9f
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<td>---------</td>
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<td>----------------</td>
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<td>:heavy_check_mark:</td>
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... | @@ -193,7 +193,7 @@ PO statistics background injection results used for FPP computations and making |
... | @@ -193,7 +193,7 @@ PO statistics background injection results used for FPP computations and making |
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09e01c8972074ee4f44120afb9095ea76c458c9f
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<td>---------</td>
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<td>:heavy_check_mark:</td>
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... | @@ -211,7 +211,7 @@ PO statistics background injection results used for FPP computations and making |
... | @@ -211,7 +211,7 @@ PO statistics background injection results used for FPP computations and making |
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09e01c8972074ee4f44120afb9095ea76c458c9f
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<td>---------</td>
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<td>:heavy_check_mark:</td>
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... | @@ -272,7 +272,7 @@ PO statistics background injection results used for FPP computations and making |
... | @@ -272,7 +272,7 @@ PO statistics background injection results used for FPP computations and making |
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## 5 January 2022
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## 5 January 2022
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* We discussed the performance of XGBoost with QTs for the 2 detector real events.
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* We discussed the performance of XGBoost with QTs for the 2 detector real events.
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* Imputing the dense outputs(i.e. input features of XGBoost) for the missing data help but is not logically understood. (notebook)\[https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/review/missing_strain_ML_qts.ipynb\\\]
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* Imputing the dense outputs(i.e. input features of XGBoost) for the missing data help but is not logically understood. (notebook)\[https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/review/missing_strain_ML_qts.ipynb\\\\\\\]
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* We converged on the training configurations for the final ML results for O3.
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* We converged on the training configurations for the final ML results for O3.
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### Action items:
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### Action items:
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