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Merge pull request #35 from hqucms/particle-net-ak4chs-V00
Add ParticleNetAK4
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ParticleNetAK4/CHS/V00/README.md

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# ParticleNetAK4-CHS-V00
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This folder contains the ONNX models for the `ParticleNetAK4` tagger designed for AK4 jet tagging (i.e., b-/c-tagging, q/g-tagging, PU jet ID). The model is trained on AK4CHS jets using `RunIISummer19UL18MiniAOD` the following samples:
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- `/TTToSemiLeptonic_mtop171p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer19UL18MiniAOD-106X_upgrade2018_realistic_v11_L1v1-v2/MINIAODSIM` (300 files)
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- `/TTToSemiLeptonic_mtop173p5_TuneCP5_13TeV-powheg-pythia8/RunIISummer19UL18MiniAOD-106X_upgrade2018_realistic_v11_L1v1-v2/MINIAODSIM` (300 files)
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- `/QCD_Pt_XtoY_TuneCP5_13TeV_pythia8/RunIISummer19UL18MiniAOD-PUForMUOVal_106X_upgrade2018_realistic_v11_L1v1-v3/MINIAODSIM` (min_X=30, maxY=1400, 50 files each)
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- `/BulkGravitonToHHTo4Q_MX-600to6000_MH-15to250_part*_TuneCP5_13TeV-madgraph_pythia8/RunIISummer19UL18MiniAOD-multigridpack_106X_upgrade2018_realistic_v11_L1v1-v1/MINIAODSIM` (300 files each)
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The output classes of the DNN can be found in the `preprocess.json` file.
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