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Update Result Review O3b lensing authored by Jean-Rene Cudell's avatar Jean-Rene Cudell
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# Final statement
### Can be found [here](https://git.ligo.org/srashti.goyal/lensid/-/wikis/Result-Review-Final-Statement)
### Reviewer: Jean-Rene Cudell
Final Sign-off: :heavy_check_mark:
Final Sign-off:
Date: 14th April 2022
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### Reviewer: Jean-Rene Cudell
Final Sign-off:
Date:
Git hash:
Final Sign-off: :heavy_check_mark:
Date: May 11, 2022
Git hash: 09e01c8972074ee4f44120afb9095ea76c458c9f
# Result review
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| [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
| Script/Notebook | Short description | Status | git hash | Comment | final sign-off |
|-----------------|-------------------|--------|----------|---------|----------------|
| [search_24mar.dat](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/subthreshold/search_24mar.dat) | Subthreshold triggers found by GSTLAL targeted subthreshold search pipeline. These are analysed by ML for finding out the most interesting pairs. | JRC:OK | 09e01c8972074ee4f44120afb9095ea76c458c9f | | :heavy_check_mark: |
......@@ -84,6 +81,7 @@ In progress: [page](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/wikis/O3-r
| [get_candidates_super_sub.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/subthreshold/get_candidates_super_sub.ipynb) | Notebook for loading the results and sorting candidates | JRC: OK | 09e01c8972074ee4f44120afb9095ea76c458c9f | --------- | :heavy_check_mark: |
| [test_super_sub_pairs.ipynb](https://git.ligo.org/srashti.goyal/lensid/-/blob/master/subthreshold/test_super_sub_pairs.ipynb) | Notebook for testing the machines that are trained on super-super pairs on the super-sub pairs. The performance is okay, can be improved by retraining on super-sub dataset(after generating). | JRC: OK- | 09e01c8972074ee4f44120afb9095ea76c458c9f | -- | :heavy_check_mark: |
| [real_events_bhattu_comp.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o3/-/blob/master/subthreshold/pe_match_mchirp/real_events_bhattu_comp.ipynb) | Notebook for checking the chirp mass mean and variance in PE v/s match filter using the Caliskan et.al formula for the superthreshold O3 events. | JRC: OK- | 09e01c8972074ee4f44120afb9095ea76c458c9f | -- | :heavy_check_mark: |
# Meetings
## 3 December 2021
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