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Simulated dataset DYToMuMu_M-120To200_TuneCP5_13TeV-powheg-pythia8 in NANOAODSIM format for 2016 collision data

/DYToMuMu_M-120To200_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16NanoAODv9-106X_mcRun2_asymptotic_v17-v1/NANOAODSIM, CMS Collaboration

Cite as: CMS Collaboration (2024). Simulated dataset DYToMuMu_M-120To200_TuneCP5_13TeV-powheg-pythia8 in NANOAODSIM format for 2016 collision data. CERN Open Data Portal. DOI:10.7483/OPENDATA.CMS.FI15.TRK7

Dataset Simulated Standard Model Physics Drell-Yan CMS 13TeV pp CERN-LHC


Description

Simulated dataset DYToMuMu_M-120To200_TuneCP5_13TeV-powheg-pythia8 in NANOAODSIM 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.

Related datasets

The corresponding MINIAODSIM dataset:

/DYToMuMu_M-120To200_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM

Dataset characteristics

2500000 events. 6 files. 2.8 GiB in total.

System details

NANOAODSIM datasets are in the ROOT tree format and their analysis does not require the use of CMSSW or CMS open data environments. They can be analysed with common ROOT and Python tools.


Recommended container image for analyses is available in the following locations (see guide):

  • gitlab-registry.cern.ch/cms-cloud/root-vnc
  • gitlab-registry.cern.ch/cms-cloud/python-vnc

Dataset semantics

Variable list

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_30_patch1
Global Tag: 106X_mcRun2_asymptotic_v13
Generators: powheg
Production script (preview)
Hadronizer parameters (preview) (link)
Configuration file for GEN (link)
Generator parameters: powheg.input (link)
Generator parameters: runcmsgrid.sh (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: /DYToMuMu_M-120To200_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16RECO-106X_mcRun2_asymptotic_v13-v1/AODSIM


Step PAT
Release: CMSSW_10_6_25
Global Tag: 106X_mcRun2_asymptotic_v17
Production script (preview)
Configuration file for PAT (link)
Output dataset: /DYToMuMu_M-120To200_TuneCP5_13TeV-powheg-pythia8/RunIISummer20UL16MiniAODv2-106X_mcRun2_asymptotic_v17-v1/MINIAODSIM


Step NANO
Release: CMSSW_10_6_26
Global Tag: 106X_mcRun2_asymptotic_v17
Production script (preview)
Configuration file for NANO (link)
Output dataset: /DYToMuMu_M-120To200_TuneCP5_13TeV-powheg-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 XRootD protocol or direct download, and they can be analysed with common ROOT and Python tools. See the instructions for getting started in

Using Docker containers

Getting started with CMS NanoAOD


      

Disclaimer

These open data are released under the Creative Commons Zero v1.0 Universal license.

Logo CC0

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.

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