TTToHadronic_TuneCP5_13TeV-powheg-pythia8 in FEVTDEBUGHLT format for 2018 collision data
/TTToHadronic_TuneCP5_13TeV-powheg-pythia8/RunIIAutumn18DR-PUAvg50IdealConditions_IdealConditions_102X_upgrade2018_design_v9_ext1-v2/FEVTDEBUGHLT, CMS Collaboration
Cite as: CMS Collaboration (2019). TTToHadronic_TuneCP5_13TeV-powheg-pythia8 in FEVTDEBUGHLT format for 2018 collision data. CERN Open Data Portal. DOI:10.7483/OPENDATA.CMS.GOB0.0LEW
Dataset Simulated Standard Model Physics Top physics CMS 13TeV CERN-LHC Parent Dataset: /TTToHadronic_TuneCP5_13TeV-powheg-pythia8/RunIIAutumn18DR-PUAvg50IdealConditions_IdealConditions_102X_upgrade2018_design_v9_ext1-v2/GEN-SIM-DIGI-RAW
Description
Simulated dataset TTToHadronic_TuneCP5_13TeV-powheg-pythia8 in FEVTDEBUGHLT format (see CMS Monte Carlo production overview and information about FEVTDEBUG) for 2018 collision data. This dataset is used as the input in ML studies.
See the description of the simulated dataset names in: About CMS simulated dataset names.
This simulated dataset corresponds to the collision data that was collected by the CMS experiment in 2018 and it was released in the context of data science sample production.
Related datasets
This dataset is processed from:Dataset characteristics
20000 events. 9 files. 641.0 GB in total.System details
102X_upgrade2018_design_v9CMSSW_10_2_5
How were these data generated?
These data were generated in several steps (see also CMS Monte Carlo production overview). The input dataset to this step is in TTToHadronic_TuneCP5_13TeV-powheg-pythia8 in GEN-SIM-DIGI-RAW format, and the production step of this dataset is:
Step RECO
Release: CMSSW_10_2_5
Global Tag: 102X_upgrade2018_design_v9
Production script (step2)
(preview)
Configuration file
for RECO
(link)
To make these simulated data comparable with the collision data, pile-up events are added to the simulated event in this step.
The pile-up dataset is:
/MinBias_TuneCP5_13TeV-pythia8/RunIIFall18GS-IdealGeometry_102X_upgrade2018_design_v9-v1/GEN-SIM
How were these data validated?
These data were generated in context of machine learning and they have been validated through general CMS validation procedures.
How can you use these data?
You can access these data through the CMS Virtual Machine. See the instructions for setting up the Virtual Machine and getting started in
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Disclaimer
The open data are released under the Creative Commons CC0 waiver. Neither CMS nor CERN endorse any works, scientific or otherwise, produced using these data. All releases will have a unique DOI that you are requested to cite in any applications or publications.
