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Update of DeepTauID to ver. 2017v2 (backport for UL) #27146
Update of DeepTauID to ver. 2017v2 (backport for UL) #27146
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+1
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+1 |
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merge apart for clang-formatting the backport is identical to master. The addition of the fix in #27189 will follow separately |
Hello, |
@mbluj , the final remarks for the PR signed off in the master were (see #26796 (comment), which summarizes the discussions that went on in the github thread) "[cpu time] is probably still acceptable for miniAOD production, but a bit too much for routine nanoAOD production: some further reduction should be attempted if that ID will have to be recomputed in the nanoAOD campaigns: github issue #27119 has been opened to keep track of the future improvements in cpu performance" |
I understand this, but my question is different - I want to add DeepTau to tau table in NanoAOD, i.e. read it from Mini to write to Nano without running it at Nano step. |
Ah, ok. This will have to follow a forthcoming re-miniAOD campaign in 10_2_X, then (for which I don't know the plans). |
+1 |
This pull request is fully signed and it will be integrated in one of the next CMSSW_10_6_X IBs (tests are also fine) and once validation in the development release cycle CMSSW_11_0_X is complete. This pull request will be automatically merged. |
Ok, I had a discussion with @steggema. It would not be nice to have the new tagger in MiniAOD UL, and not in Nano. It should be added in such a way that it just gets copied from MiniAOD when running without modifiers, and is deactivated when running with any of the following modifiers: run2_miniAOD_80XLegacy, run2_nanoAOD_94X2016, run2_nanoAOD_94XMiniAODv1, run2_nanoAOD_94XMiniAODv2, run2_nanoAOD_102Xv1. You can add it to the tau table, and then do something like: I hope you realize how late this comes... |
Yes, sure thing.
OK, will be done.
OK, thank you for this hint
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I think to be ready with a PR today or early tomorrow - it is a small addition. But sure, final decision in your hands. |
PR description:
This PR updates DeepTauID to version 2017v2. The new version, thanks to revised structure of used DNN, fixes issues of version 2017v1 that is a size of training files and memory consumption are greatly reduced. Possibility to run previous version is maintained.
DeepTauID (2017v2) is added to the tau sequence in the standard MiniAOD workflow.
Performance with 1k ttbar events:
In addition the new v2 training overperforms (physics-result-wise) old v1 one as well as other TauIDs, details in slides:
Note 1: this PR is backport of #26796 to 10_6_X for UL processing
Note 2: this PR is completed by cms-data/RecoTauTag-TrainingFiles#3 which needs to be propagated to cms-dist.
PR validation:
Validated with matrix tests; requires cms-data/RecoTauTag-TrainingFiles#3 for unit tests
if this PR is a backport please specify the original PR:
This is port of #26796 for UL (rebased to CMSSW_10_6_X as for 7 June 2019)