Simulated dataset ZZZ_Inclusive_dim6_LO_TuneCP5_13TeV-madgraph-pythia8 in MINIAODSIM format for 2016 collision data
/ZZZ_Inclusive_dim6_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM, CMS Collaboration
Cite as: CMS Collaboration (2024). Simulated dataset ZZZ_Inclusive_dim6_LO_TuneCP5_13TeV-madgraph-pythia8 in MINIAODSIM format for 2016 collision data. CERN Open Data Portal. DOI:10.7483/OPENDATA.CMS.U5TL.7RLP
Dataset Simulated Standard Model Physics ElectroWeak CMS 13TeV pp CERN-LHC Parent Dataset:
Description
Simulated dataset ZZZ_Inclusive_dim6_LO_TuneCP5_13TeV-madgraph-pythia8 in MINIAODSIM format for 2016 collision data.
See the description of the simulated dataset names in: About CMS simulated dataset names.
These simulated datasets correspond to the collision data collected by the CMS experiment in 2016.
Cross section
For pp collisions at 13TeV, this sample has a cross section of (1.567e-02 +/- 1.594e-05) pb, calculated using the method described in CMS guide for cross sections.
This cross section takes into account a matching efficiency of 1.0 and a filtering efficiency of 1.000e+00, based on generator settings and/or filters.
If this sample was generated at NLO, it has 0.000e+00% events with negative weights.
This is a leading-order value, and cross sections evaluated at next-to-leading order (NLO) or next-to-next-to-leading order (NNLO) should be used, if available.
Related datasets
The corresponding NANOAODSIM dataset:Dataset characteristics
1247180 events. 49 files. 75.7 GiB in total.System details
106X_mcRun2_asymptotic_v17CMSSW_10_6_30
Recommended container image for analyses is available in the following locations (see guide):
docker.io/cmsopendata/cmssw_10_6_30-slc7_amd64_gcc700:latestgitlab-registry.cern.ch/cms-cloud/cmssw-docker-opendata/cmssw_10_6_30-slc7_amd64_gcc700:latest
How were these data generated?
These data were generated in several steps (see also CMS Monte Carlo production overview):
Step LHE GEN
Release: CMSSW_10_6_31
Global Tag: 106X_mcRun2_asymptotic_v13
Generators: Madgraph Pythia8
Production script
(preview)
Hadronizer parameters
(preview)
(link)
Configuration file
for GEN
(link)
Step SIM
Release: CMSSW_10_6_17_patch1
Global Tag: 106X_mcRun2_asymptotic_v13
Production script
(preview)
Configuration file
for SIM
(link)
Step DIGI2RAW
Release: CMSSW_10_6_17_patch1
Global Tag: 106X_mcRun2_asymptotic_v13
Production script
(preview)
Configuration file
for DIGI2RAW
(link)
Step HLT
Release: CMSSW_8_0_36_UL_patch1
Global Tag: 80X_mcRun2_asymptotic_2016_TrancheIV_v6
Production script
(preview)
Configuration file
for HLT
(link)
Step RECO
Release: CMSSW_10_6_17_patch1
Global Tag: 106X_mcRun2_asymptotic_v13
Production script
(preview)
Configuration file
for RECO
(link)
Output dataset: /ZZZ_Inclusive_dim6_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16RECO-106X_mcRun2_asymptotic_v13-v2/AODSIM
Step PAT
Release: CMSSW_10_6_25
Global Tag: 106X_mcRun2_asymptotic_v17
Production script
(preview)
Configuration file
for PAT
(link)
Output dataset: /ZZZ_Inclusive_dim6_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v2/MINIAODSIM
Step NANO
Release: CMSSW_10_6_26
Global Tag: 106X_mcRun2_asymptotic_v17
Production script
(preview)
Configuration file
for NANO
(link)
Output dataset: /ZZZ_Inclusive_dim6_LO_TuneCP5_13TeV-madgraph-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM
To make these simulated data comparable with the collision data, pile-up events are added to the simulated event in the DIGI2RAW step.
The pile-up dataset is:
/Neutrino_E-10_gun/RunIISummer20ULPrePremix-UL16_106X_mcRun2_asymptotic_v13-v1/PREMIX
How were these data validated?
The generation and simulation of Monte Carlo data has been validated through general CMS validation procedures.
How can you use these data?
You can access these data through the CMS Open Data container or the CMS Virtual Machine. See the instructions for setting up one of the two alternative environments and getting started in
Running CMS analysis code using Docker
Disclaimer
These open data are released under the Creative Commons Zero v1.0 Universal license.
Neither the experiment(s) ( CMS ) nor CERN endorse any works, scientific or otherwise, produced using these data.
This release has a unique DOI that you are requested to cite in any applications or publications.
