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Update Result Review O4a authored by Srashti Goyal's avatar Srashti Goyal
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...@@ -98,26 +98,26 @@ ML Models: ...@@ -98,26 +98,26 @@ ML Models:
| File(s) | Short description | Status | Comment | Git hash | Sign-off | | File(s) | Short description | Status | Comment | Git hash | Sign-off |
|---------|-------------------|--------|---------|----------|----------| |---------|-------------------|--------|---------|----------|----------|
| [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:| | [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: | | [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 | Done | JR-Should one worry about the missing npz files? What is the difference between ML and dense? Which curve is QT+skymaps? | \-------------- | | | 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 | Done | JR-Should one worry about the missing npz files? What is the difference between ML and dense? Which curve is QT+skymaps? | \-------------- | |
| [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: |
| [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. | Need to clean up | | \-------------- | | | [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: O4a Predictions:
| File(s) | Short description | Status | Comment | Git hash | Sign-off | | File(s) | Short description | Status | Comment | Git hash | Sign-off |
|---------|-------------------|--------|---------|----------|----------| |---------|-------------------|--------|---------|----------|----------|
| [Config](https://git.ligo.org/srashti.goyal/alensidforlensingflow/-/blob/main/Examples/SimpleExample/config_o4a.yaml) | ML models and config for production runs | Done | | \-------------- | :heavy_check_mark: :heavy_check_mark:| | [Config](https://git.ligo.org/srashti.goyal/alensidforlensingflow/-/blob/main/Examples/SimpleExample/config_o4a.yaml) | ML models and config for production runs | Done | | \-------------- | :heavy_check_mark: :heavy_check_mark: |
| [O4a Production Run](https://ldas-jobs.ligo.caltech.edu/~srashti.goyal/lensid_runs/O4a_alensid/result/) | ML Production run on CIT | Done | | \-------------- | :heavy_check_mark: :heavy_check_mark:| | [O4a Production Run](https://ldas-jobs.ligo.caltech.edu/~srashti.goyal/lensid_runs/O4a_alensid/result/) | ML Production run on CIT | Done | | \-------------- | :heavy_check_mark: :heavy_check_mark: |
| [investigations_visualisations.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/investigations_visualisations.ipynb?ref_type=heads) | ML pipeline run through a notebook with Investigations/Eyeballing pairs and comparing the performances with the other pipelines | Done | JR-The file could not be displayed because it is too large. | \-------------- | | | [investigations_visualisations.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/investigations_visualisations.ipynb?ref_type=heads) | ML pipeline run through a notebook with Investigations/Eyeballing pairs and comparing the performances with the other pipelines | Done | JR-The file could not be displayed because it is too large. | \-------------- | |
Publication results: Publication results:
| File(s) | Short description | Status | Comment | Git hash | Sign-off | | 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:| | [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: |
| [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: | | [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. | \-------------- | | | [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. | \-------------- | |
...@@ -195,7 +195,7 @@ The review call happens on Wednesdays 1 PM CEST/ 4:30 PM IST virtual IFPA room: ...@@ -195,7 +195,7 @@ The review call happens on Wednesdays 1 PM CEST/ 4:30 PM IST virtual IFPA room:
## 8 November 2023 ## 8 November 2023
* We discussed the integration of lensid with the lensing flow and visited the new package: https://git.ligo.org/srashti.goyal/alensidforlensingflow * We discussed the integration of lensid with the lensing flow and visited the new package: https://git.ligo.org/srashti.goyal/alensidforlensingflow
* JR suggested to use O4a real noise PSDs for the training and testing of the final ML model for the production runs. (detchar)\[https://ldas-jobs.ligo-wa.caltech.edu/~detchar/summary\\\\\\\] * JR suggested to use O4a real noise PSDs for the training and testing of the final ML model for the production runs. (detchar)\[https://ldas-jobs.ligo-wa.caltech.edu/~detchar/summary\\\\\\\\]
* We are still unsure about the inclusion of the population and the time delay lensing priors for the follow-up strategy. * We are still unsure about the inclusion of the population and the time delay lensing priors for the follow-up strategy.
## Action items ## Action items
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