• Help
    Discussion forum
    Search tips
  • About
    CERN Open Data
    ALICE
    ATLAS
    CMS
    DELPHI
    LHCb
    OPERA
    TOTEM
    Glossary

DoubleMuon primary dataset in NANOAOD format from RunH of 2016 (/DoubleMuon/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD)

/DoubleMuon/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD, CMS Collaboration

Cite as: CMS Collaboration (2024). DoubleMuon primary dataset in NANOAOD format from RunH of 2016 (/DoubleMuon/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD). CERN Open Data Portal. DOI:10.7483/OPENDATA.CMS.UZD7.Z50M

Data recorded in 2016 and published in 2024

Dataset Collision CMS 13TeV pp CERN-LHC


Description

DoubleMuon primary dataset in NANOAOD format from RunH of 2016. Run period from run number 281613 to 284044.

The list of validated runs, which must be applied to all analyses, either with the full validation or for an analysis requiring only muons, can be found in:

Validated runs, full validation

Validated runs, muons only

Related datasets

The corresponding MINIAOD dataset:

/DoubleMuon/Run2016H-UL2016_MiniAODv2-v2/MINIAOD

Dataset characteristics

48912812 events. 28 files. 42.9 GiB in total.

System details

NANOAOD 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 selected?

Events stored in this primary dataset were selected because of the presence of at least two energetic muons in the event.

Data taking / HLT
The collision data were assigned to different RAW datasets using the following HLT configuration.

Data processing
This NANOAOD dataset was processed from the RAW dataset by the following steps:

Step NANO
Release: CMSSW_10_6_26
Global tag: 106X_dataRun2_v35
Configuration file for NANO step ReReco-Run2016H-DoubleMuon-UL2016_MiniAODv2_NanoAODv9
Output dataset: /DoubleMuon/Run2016H-UL2016_MiniAODv2_NanoAODv9-v1/NANOAOD


Step PAT
Release: CMSSW_10_6_25
Global tag: 106X_dataRun2_v35
Configuration file for PAT step ReReco-Run2016H-DoubleMuon-UL2016_MiniAODv2
Output dataset: /DoubleMuon/Run2016H-UL2016_MiniAODv2-v2/MINIAOD


Step RECO
Release: CMSSW_10_6_8_patch1
Global tag: 106X_dataRun2_v27
Configuration file for RECO step recoskim_Run2016H_DoubleMuon
Output dataset: /DoubleMuon/Run2016H-21Feb2020_UL2016-v1/AOD

HLT trigger paths
The possible HLT trigger paths in this dataset are:
HLT_DoubleMu0
HLT_DoubleMu18NoFiltersNoVtx
HLT_DoubleMu23NoFiltersNoVtxDisplaced
HLT_DoubleMu28NoFiltersNoVtxDisplaced
HLT_DoubleMu33NoFiltersNoVtx
HLT_DoubleMu38NoFiltersNoVtx
HLT_DoubleMu8_Mass8_PFHT250
HLT_DoubleMu8_Mass8_PFHT300
HLT_L2DoubleMu23_NoVertex
HLT_L2DoubleMu28_NoVertex_2Cha_Angle2p5_Mass10
HLT_L2DoubleMu38_NoVertex_2Cha_Angle2p5_Mass10
HLT_Mu10_CentralPFJet30_BTagCSV_p13
HLT_Mu17_Mu8_DZ
HLT_Mu17_Mu8_SameSign_DZ
HLT_Mu17_Mu8_SameSign
HLT_Mu17_Mu8
HLT_Mu17_TkMu8_DZ
HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL_DZ
HLT_Mu17_TrkIsoVVL_Mu8_TrkIsoVVL
HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL_DZ
HLT_Mu17_TrkIsoVVL_TkMu8_TrkIsoVVL
HLT_Mu17_TrkIsoVVL
HLT_Mu17
HLT_Mu20_Mu10_DZ
HLT_Mu20_Mu10_SameSign_DZ
HLT_Mu20_Mu10_SameSign
HLT_Mu20_Mu10
HLT_Mu27_TkMu8
HLT_Mu30_TkMu11
HLT_Mu3_PFJet40
HLT_Mu40_TkMu11
HLT_Mu8_TrkIsoVVL
HLT_Mu8
HLT_TkMu17_TrkIsoVVL_TkMu8_TrkIsoVVL_DZ
HLT_TkMu17_TrkIsoVVL_TkMu8_TrkIsoVVL
HLT_TripleMu_12_10_5
HLT_TripleMu_5_3_3_DZ_Mass3p8
HLT_TripleMu_5_3_3
HLT_TrkMu15_DoubleTrkMu5NoFiltersNoVtx
HLT_TrkMu17_DoubleTrkMu8NoFiltersNoVtx

How were these data validated?

During data taking all the runs recorded by CMS are certified as good for physics analysis if all subdetectors, trigger, lumi and physics objects (tracking, electron, muon, photon, jet and MET) show the expected performance. Certification is based first on the offline shifters evaluation and later on the feedback provided by detector and Physics Object Group experts. Based on the above information, which is stored in a specific database called Run Registry, the Data Quality Monitoring group verifies the consistency of the certification and prepares a json file of certified runs to be used for physics analysis. For each reprocessing of the raw data, the above mentioned steps are repeated. For more information see:

The Data Quality Monitoring Software for the CMS experiment at the LHC: past, present and future

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


      

Files and indexes

Disclaimer

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

Logo CC0-1.0

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.

ALICE experiment
ATLAS experiment
CMS experiment
DELPHI experiment
LHCb experiment
OPERA experiment
PHENIX experiment
TOTEM experiment
© CERN, 2014–2025 ·
Terms of Use ·
Privacy Policy ·
Help ·
GitHub ·
Twitter ·
Email
Powered by Invenio
Open Data Portal v0.10.2
CERN