... | ... | @@ -127,7 +127,7 @@ The ML model predictions are compared to posterior overlap statistic results als |
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| [download_data.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/data_download_preparation/download_data.ipynb) | Notebook for downloading skymaps(.fits) from GraceDB and strain data from ligo servers using GWpy. | ------ | -------- | ------- | -------------- |
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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` | ------ | -------- | ------- | -------------- |
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| [ML_pred_O3.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/O3_ML/ML_pred_O3.ipynb) | Notebook showing ML and BLU False positive probabilities for the O3 real events and comparison with BLU for O3a events. | ------ | -------- | ------- | -------------- |
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| [ml_predict_workflow.py](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/scripts/ml_predict_workflow.py), [config_O3_events.yaml](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/scripts/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. |--------|----------|---------|----------------|
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| [ml_predict_workflow.py](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/scripts/ml_predict_workflow.py), [config_O3_events.yaml](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/scripts/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: `python ml_predict_workflow.py -config config_O3_events.yaml` Note: change `odir` in config file. |--------|----------|---------|----------------|
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# Meetings
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