Result-Review-O4a.md

@@ -50,7 +50,7 @@ ML Models:
 | [pop_datasets.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/retraining_for_O4/pop_datasets.ipynb) | Notebook having plots of injection parameters for training and testing. | Done | JR-What are the columns in Out \[9\] |  | :heavy_check_mark: :heavy_check_mark: |
 | [PSD_plots.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/retraining_for_O4/PSD_plots.ipynb) | Comparison of the PSDs used for training and testing in O3 and O4 etc. | Reviewed | Reviewed | 5f525a652d0374f11a207bc8158f7c75d37de884 | :heavy_check_mark: :heavy_check_mark: |
 | ML QTs [L1](https://ldas-jobs.ligo.caltech.edu/~srashti.goyal/O4a_training/L1/uniform_config_lr_0.01_ep_15_bs_500/), [H1](https://ldas-jobs.ligo.caltech.edu/~srashti.goyal/O4a_training/uniform_config_lr_0.01_ep_15_bs_500/) | Production ML QTs models train directories. Uniform in masses for H1 and L1 | Reviewed | OK | \-------------- | :heavy_check_mark: :heavy_check_mark: |
-| [2vs3det.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/retraining_for_O4/2vs3det.ipynb) | Train and Test ML Skymaps. Benchmark performance for HL v/s HLV | Reviewed | Why some values are NaN in DataFrame?, Why no orange curve in plots?, Choice of hyperparameters for training? - Sourabh | 5f525a652d0374f11a207bc8158f7c75d37de884 | :heavy_check_mark: |
+| [2vs3det.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/retraining_for_O4/2vs3det.ipynb) | Train and Test ML Skymaps. Benchmark performance for HL v/s HLV | Reviewed | Why some values are NaN in DataFrame?, Why no orange curve in plots?, Choice of hyperparameters for training? - Sourabh | 5f525a652d0374f11a207bc8158f7c75d37de884 | :heavy_check_mark: :heavy_check_mark: |
 | [make_predictions.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/O4a_make_predictions.ipynb) | Demo LensID O4a, ML models benchmark performance and background estimations. | Done |  | \-------------- |  |
 
 O4a Predictions:
@@ -66,7 +66,7 @@ Publication results:
 | File(s) | Short description | Status | Comment | Git hash | Sign-off |
 |---------|-------------------|--------|---------|----------|----------|
 | [Final Results](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/LensID_results_5May25.csv) | O4a Pairs analysed by LensID | Done |  | b3a5135e0f03ad7587e53b2814feb2de10b94507 | :heavy_check_mark: :heavy_check_mark: |
-| [Interesting Pairs](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/interesting_pairs_5May25.csv?ref_type=heads) | Pairs passed for follow-up analysis | Done | What statistics are included in ML FPP? and Are Matchfilter chirp masses used for Bhattacharya distance?- Sourabh | d20a4c29ffa623e771d664709747a57bb68ae5ce | :heavy_check_mark: |
+| [Interesting Pairs](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/interesting_pairs_5May25.csv?ref_type=heads) | Pairs passed for follow-up analysis | Done | What statistics are included in ML FPP? and Are Matchfilter chirp masses used for Bhattacharya distance?- Sourabh | d20a4c29ffa623e771d664709747a57bb68ae5ce | :heavy_check_mark: :heavy_check_mark: |
 | [final_results_plots.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/final_results_plots.ipynb) | Plot of rejected and selected pairs | needs PWT approval |  | \-------------- | :heavy_check_mark: :heavy_check_mark: |
 | [Lensing paper plot](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/LensID_O4a.pdf) | Plot of rejected and selected pairs | needs PWT approval | The legend of the x axis is cut. Also it would be good to use different symbols for points which are kept and points which are not. | \-------------- |  |