-
Notifications
You must be signed in to change notification settings - Fork 34
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
update ParticleNetAK4@HLT trainings for 2023 data-taking #52
Conversation
A new Pull Request was created by @scooperstein for branch master. @smuzaffar, @aandvalenzuela, @iarspider, @clacaputo, @cmsbuild, @mandrenguyen can you please review it and eventually sign? Thanks. |
Pull request #52 was updated. |
assign hlt @scooperstein , please squash this PR in a single commit to clean the git history (so as to leave the V00 files untouched). Some context: these new files are expected to be used in the near future in the 2023 HLT pp menu (they are specified as string parameters of a few modules of the HLT pp menu; see related comments in CMSHLT-2695). This means that
|
New categories assigned: hlt @missirol,@Martin-Grunewald you have been requested to review this Pull request/Issue and eventually sign? Thanks |
@scooperstein , please see #52 (comment) and update this PR. We can switch to the new PNet training at HLT only after this PR is is integrated in |
Pull request #52 was updated. |
1 similar comment
Pull request #52 was updated. |
Pull request #52 was updated. |
Hi @missirol, all - sorry for the delay. We took a few days to update the ParticleNet@HLT AK8 model to remove a couple additional input variables that we did not use last year and were not necessary for the performance. With the training now included we use exactly the same input features as last year, such that we can use the same feature producer. I have also squashed the commits, as requested. Please let us know if there is anything further needed before merging. |
+hlt I tested the new cms-data files with a recent HLT menu [*], and saw no issue. [*] Based on a customisation provided offline by @scooperstein. #!/bin/bash
# cmsrel CMSSW_13_0_X_2023-04-18-2300
# cd CMSSW_13_0_X_2023-04-18-2300/src
# cmsenv
# git cms-addpkg RecoBTag/Combined
# git clone https://github.com/scooperstein/RecoBTag-Combined RecoBTag/Combined/data
# scram build
hltGetConfiguration /dev/CMSSW_13_0_0/GRun \
--globaltag 126X_mcRun3_2023_forPU65_v3 \
--mc \
--unprescale \
--output minimal \
--max-events 200 \
--input /store/mc/Run3Winter23Digi/GluGlutoHHto2B2Tau_kl-1p00_kt-1p00_c2-3p00_TuneCP5_13p6TeV_powheg-pythia8/GEN-SIM-RAW/GTv3Digi_126X_mcRun3_2023_forPU65_v3-v2/2560000/e1b2127c-442b-405e-9c19-c8429a2814e6.root \
--eras Run3 --l1-emulator FullMC --l1 L1Menu_Collisions2023_v1_0_0_xml \
> hlt.py
cmsRun hlt.py &> hlt1.log
cat <<@EOF >> hlt.py
process.hltParticleNetONNXJetTags.preprocess_json = 'RecoBTag/Combined/data/HLT/ParticleNetAK4/V01/preprocess.json'
process.hltParticleNetONNXJetTags.model_path = 'RecoBTag/Combined/data/HLT/ParticleNetAK4/V01/particle-net.onnx'
process.hltParticleNetONNXJetTags.flav_names = ['probtauhp', 'probtauhm', 'probb', 'probc', 'probuds', 'probg', 'ptcorr']
process.hltParticleNetDiscriminatorsJetTags.discriminators[0].denominator = ['hltParticleNetONNXJetTags:prob'+foo for foo in ['b', 'c', 'uds', 'g', 'tauhp', 'tauhm']]
process.hltParticleNetDiscriminatorsJetTags.discriminators[1].denominator = ['hltParticleNetONNXJetTags:prob'+foo for foo in ['b', 'c', 'uds', 'g', 'tauhp', 'tauhm']]
del process.hltParticleNetDiscriminatorsJetTags.discriminators[2]
process.hltParticleNetONNXJetTagsAK8.preprocess_json = 'RecoBTag/Combined/data/HLT/ParticleNetAK8/V01/preprocess.json'
process.hltParticleNetONNXJetTagsAK8.model_path = 'RecoBTag/Combined/data/HLT/ParticleNetAK8/V01/particle-net.onnx'
process.hltParticleNetONNXJetTagsAK8.flav_names = ['probHtt', 'probHtm', 'probHte', 'probHbb', 'probHcc', 'probHqq', 'probHgg', 'probQCD2hf', 'probQCD1hf', 'probQCD0hf']
process.hltParticleNetDiscriminatorsJetTagsAK8.discriminators[0].denominator = ['hltParticleNetONNXJetTagsAK8:prob'+foo for foo in ['Hbb', 'QCD2hf', 'QCD1hf', 'QCD0hf']]
process.hltParticleNetDiscriminatorsJetTagsAK8.discriminators[1].denominator = ['hltParticleNetONNXJetTagsAK8:prob'+foo for foo in ['Hcc', 'QCD2hf', 'QCD1hf', 'QCD0hf']]
process.hltParticleNetDiscriminatorsJetTagsAK8.discriminators[2].denominator = ['hltParticleNetONNXJetTagsAK8:prob'+foo for foo in ['Htt', 'QCD2hf', 'QCD1hf', 'QCD0hf']]
@EOF
cmsRun hlt.py &> hlt2.log |
urgent @perrotta @rappoccio , please consider merging this PR. It is needed for HLT development in The RECO signature is pending, but the added files are unrelated to the offline reconstruction. |
please test
|
+1 Summary: https://cmssdt.cern.ch/SDT/jenkins-artifacts/pull-request-integration/PR-91e0da/32084/summary.html Comparison SummarySummary:
|
+1 |
merge |
ParticleNet has been retrained in CMSSW 12_6_X with the latest HLT conditions and Run-3 MC samples. This network is meant to be included in a set of trigger paths for the 2023 data-taking V2 menu. Since taus are now included by default, there is no longer a separate network included without taus. Merging this pull request will enable the deployment of the new 2023 4j2b trigger paths.
Higgs trigger contacts: @mstamenk @portalesHEP
BTV@HLT conveners: @NiclasEich
@rgerosa