@@ -235,13 +235,12 @@ The review call happen on Wednesdays 1 PM CEST/ 4:30 PM IST virtual IFPA room: h
## 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
* JR suggested to use O4a real noise PSDs for the training and testing of the final ML model for the production runs. (detchar)\[https://ldas-jobs.ligo-wa.caltech.edu/\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\~detchar/summary/day/20231108/\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\]
* 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.
## Action items
* [x] Update the result review page with the new scripts.
* [ ] Train a final ML while optimising.
* [x] Note the changes in the reviewed code.
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@@ -259,12 +258,11 @@ The review call happen on Wednesdays 1 PM CEST/ 4:30 PM IST virtual IFPA room: h
### Action items
* [ ] Train a final ML and background while optimising.
* [ ] Fix versions for lensingflow integration.
* [ ] Write scripts for investigating the pairs, along with calculating rapid stats.
* [ ] Check 3 events with exceptionally low FPPs. Seems like a bug.
* [ ] Check event with the missing skymap.
* [ ] Compare results with other pipelines.
* [x] Fix versions for lensingflow integration.
* [x] Write scripts for investigating the pairs, along with calculating rapid stats.
* [x] Check 3 events with exceptionally low FPPs. Seems like a bug.
* [x] Check event with the missing skymap.
* [x] Compare results with other pipelines.
We also want to prepare a document to quantify all the things. One main issue is the bias-variance trade-off. https://www.bmc.com/blogs/bias-variance-machine-learning/
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@@ -279,7 +277,6 @@ We also want to prepare a document to quantify all the things. One main issue is
### Action items
* [x] S230630bq should be updated and S231226av needs checking with the training dataset etc., seems to have good SNR and localised skymap.
* [ ] Train a final ML and background while optimising.
## 26 February 2024
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@@ -290,6 +287,7 @@ We also want to prepare a document to quantify all the things. One main issue is
### Action items
* [ ] Train a final ML and background while optimising.
* [ ] Implement the BD <3 cut in the final is_lensing_favoured output.
* [ ] Use PE skymaps for production.
* [ ] Implement extrapolation while calculating FPP, for events in the edge.
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* [x] Implement extrapolation while calculating FPP, for events in the edge.
