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[EGM HLT] Produce sigma_IPhi_IPhi, needed for regression #35486
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-code-checks Logs: https://cmssdt.cern.ch/SDT/code-checks/cms-sw-PR-35486/25655
Code check has found code style and quality issues which could be resolved by applying following patch(s)
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+code-checks Logs: https://cmssdt.cern.ch/SDT/code-checks/cms-sw-PR-35486/25656
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A new Pull Request was created by @swagata87 (Swagata Mukherjee) for master. It involves the following packages:
@Martin-Grunewald, @missirol, @cmsbuild can you please review it and eventually sign? Thanks. cms-bot commands are listed here |
please test |
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@swagata87, could you please remind me if this just needed for ongoing studies, or is part of updates already discussed in TSG?
for (unsigned int iRecoEcalCand = 0; iRecoEcalCand < recoecalcandHandle->size(); iRecoEcalCand++) { | ||
reco::RecoEcalCandidateRef recoecalcandref(recoecalcandHandle, iRecoEcalCand); | ||
if (recoecalcandref->superCluster()->seed()->seed().det() != DetId::Ecal) { //HGCAL, skip for now | ||
clshMap.insert(recoecalcandref, 0); | ||
clsh5x5Map.insert(recoecalcandref, 0); | ||
clsh5x5NoiseCleanedMap.insert(recoecalcandref, 0); |
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Just for my own understanding. This looks like a fix to fill one of the existing maps for candidates in HGCal, but I assume it has no impact on previous EGM results for Phase-2. Correct? And if so, why?
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yes this has no impact on Phase2 HLT TDR results of EGM because NoiseCleaned shower-shapes entered CMSSW only in 11_3_X via this PR #33148. The HLT TDR release, 11_1_X, do not have noise-cleaned e/gamma variables. For phase2 studies in barrel until now, we have been using the usual Full5x5 showershapes, where no noise-cleaning is applied.
&thresholds, | ||
multThresEB_, | ||
multThresEE_)[2]); | ||
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Looks like the 4 calls to lazyTools5x5.localCovariances
could be reduced at least to 2. No? Something like
auto const ecalCandLocalCov = lazyTools5x5.localCovariances(*(recoecalcandref->superCluster()->seed()));
auto const sigmaee5x5 = sqrt(ecalCandLocalCov[0]);
auto const sigmapp5x5 = sqrt(ecalCandLocalCov[2]);
auto const ecalCandLocalCovNoiseCleaned = lazyTools5x5.localCovariances(*(recoecalcandref->superCluster()->seed()), EgammaLocalCovParamDefaults::kRelEnCut, &thresholds, multThresEB_, multThresEE_);
auto const sigmaee5x5NoiseCleaned = sqrt(ecalCandLocalCovNoiseCleaned[0]);
auto const sigmapp5x5NoiseCleaned = sqrt(ecalCandLocalCovNoiseCleaned[2]);
+1 Summary: https://cmssdt.cern.ch/SDT/jenkins-artifacts/pull-request-integration/PR-908bab/19284/summary.html Comparison SummarySummary:
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so this PR is not extremely urgent in the sense that this variable sigmaIPhiIPhi is not used in any HLT filter that we have in egamma, but it is needed only as a pre-selection cut variable for training regression. We can pretty well run our regression setup by merging this branch by hand, but it's kinda annoying and its easier if this is merged in cmssw. EGM HLT regression was discussed in TSG, but I don't think the need of this PR was explicitly discussed. |
-code-checks Logs: https://cmssdt.cern.ch/SDT/code-checks/cms-sw-PR-35486/25671
Code check has found code style and quality issues which could be resolved by applying following patch(s)
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+code-checks Logs: https://cmssdt.cern.ch/SDT/code-checks/cms-sw-PR-35486/25674
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Pull request #35486 was updated. @Martin-Grunewald, @missirol, @cmsbuild can you please check and sign again. |
@cmsbuild, please test |
@cmsbuild , please test |
+1 Summary: https://cmssdt.cern.ch/SDT/jenkins-artifacts/pull-request-integration/PR-908bab/19308/summary.html Comparison SummaryThe workflows 140.53 have different files in step1_dasquery.log than the ones found in the baseline. You may want to check and retrigger the tests if necessary. You can check it in the "files" directory in the results of the comparisons Summary:
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+hlt |
This pull request is fully signed and it will be integrated in one of the next master IBs (tests are also fine). This pull request will now be reviewed by the release team before it's merged. @perrotta, @dpiparo, @qliphy (and backports should be raised in the release meeting by the corresponding L2) |
+1 |
PR description:
In EGM HLT producer for cluster shape variables, adding sigmaIPhiIPhi, which is needed in HLT supercluster regression setup.
PR validation:
Ran EGM HLT on DY sample, after merging this branch and checked sigmaIPhiIPhi distributions.
This PR is not a backport.
Backport is not needed.