| [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 | -------------- | | |
| [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 | \-------------- | | |
| [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 | OK | 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 | | -------------- | |
| 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 | | \-------------- | |
| [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/make_predictions.ipynb?ref_type=heads) |Demo LensID O4a, ML models benchmark performance and background estimations. | Done | | -------------- | |
| [make_predictions.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/make_predictions.ipynb?ref_type=heads) | Demo LensID O4a, ML models benchmark performance and background estimations. | Need to clean up | | \-------------- | |
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/lensid-ml-o4/-/blob/master/config_o4a.yaml?ref_type=heads) | ML models and config for production runs | Done| | -------------- | |
| [Config](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/config_o4a.yaml?ref_type=heads) | ML models and config for production runs | Done| | \-------------- | |
| [O4a Production Run](https://ldas-jobs.ligo.caltech.edu/~srashti.goyal/lensid_runs/O4a_alensid/result/) | ML Production run on CIT | Done | | -------------- | |
| [O4a Production Run](https://ldas-jobs.ligo.caltech.edu/~srashti.goyal/lensid_runs/O4a_alensid/result/) | ML Production run on CIT | Done | | \-------------- | |
| [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 | | -------------- | |
| [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 | | \-------------- | |
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_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 | | -------------- | |
| [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 | | \-------------- | |
| [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 | | -------------- | |
| [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 | | \-------------- | |
# Review Calls
# Review Calls
...
@@ -194,7 +211,7 @@ The review call happen on Wednesdays 1 PM CEST/ 4:30 PM IST virtual IFPA room: h
...
@@ -194,7 +211,7 @@ The review call happen on Wednesdays 1 PM CEST/ 4:30 PM IST virtual IFPA room: h
## 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.