Update Result Review O4a authored by Srashti Goyal's avatar Srashti Goyal
......@@ -113,7 +113,7 @@ ML Models:
| [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. | Done | OK, OK - Sourabh | 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 | | | -------------- | |
| [2vs3det.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/retraining_for_O4/2vs3det.ipynb) | Skymaps ML performance for HL v/s HLV | OK | 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) | ML models benchmark performance and background estimations along with MDC results for the final model. | In development | | -------------- | |
| [make_predictions.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/make_predictions.ipynb?ref_type=heads) | ML models benchmark performance and background estimations. | | | -------------- | |
......@@ -121,15 +121,15 @@ O4a Predictions:
| 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 | Needs to be finalised | | -------------- | |
| [result dir](https://ldas-jobs.ligo.caltech.edu/~srashti.goyal/lensid_runs/O4a_alensid/result/) | ML models and config for production runs | Needs to be finalised | | -------------- | |
| [investigations_visualisations.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/investigations_visualisations.ipynb?ref_type=heads) | Investigating/Eyeballing pairs and comparing the performances with the other pipelines | | | -------------- | |
| [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 | | | -------------- | |
| [result dir](https://ldas-jobs.ligo.caltech.edu/~srashti.goyal/lensid_runs/O4a_alensid/result/) | ML models and config for production runs | | | -------------- | |
| [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 | | | -------------- | |
Publication results:
| File(s) | Short description | Status | Comment | Git hash | Sign-off |
|---------|-------------------|--------|---------|----------|----------|
| [Interesting Pairs]() | Pairs passed for follow-up analysis | Needs to be finalised | | -------------- | |
| [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 | | | d20a4c29ffa623e771d664709747a57bb68ae5ce| |
| [results_plot]() | Plot of rejected and selected pairs | Needs to be finalised | | -------------- | |
......@@ -286,5 +286,5 @@ We also want to prepare a document to quantify all the things. One main issue is
### Action items
* [ ] Prepare the scripts for result review.
* [ ] Train a final ML and background while optimising.
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* [x] Prepare the scripts for result review.
* [x] Train a final ML and background while optimising.
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