Skip to content

Latest commit

 

History

History
429 lines (285 loc) · 27.4 KB

6_Tutorials.md

File metadata and controls

429 lines (285 loc) · 27.4 KB

Tutorial Part

Firstly, clone repository in your workspace

git clone https://github.com/ctolon/PythonInterfaceOOP.git

Before you start, you need to do the installations in the readme file

P.S. Don't forget to install the O2 enviroment before running the scripts

Ex. alienv enter O2Physics/latest,QualityControl/latest

Assuming you have installed the argcomplete package, don't forget to source the bash script again in your O2 enviroment.

cd ~/PythonInterfaceOOP/PythonInterfaceOOP

source argcomplete.sh

If you don't have time to read the documentation follow these steps:

For Linux Based System:

  • alienv enter O2Physics/latest,QualityControl/latest (Load Your alienv, if you want you can install lxplus version without using QC)
  • pip install argcomplete and pip3 install argcomplete
  • source argcomplete.sh

For MacOS Based System:

  • brew install bash
  • alienv enter O2Physics/latest,QualityControl/latest (Load Your alienv, if you want you can install lxplus version without using QC)
  • pip install argcomplete and pip3 install argcomplete
  • exec bash (temporary bash shell)
  • source argcomplete.sh

if not works:

  • sudo chsh -s /bin/bash <username>
  • source argcomplete.sh

if you used the command sudo chsh -s /bin/bash <username> after you are done with the scripts (It converts your system shell zsh to bash):

  • sudo chsh -s /bin/zsh <username> (It converts your system shell bash to zsh)

if you used the command exec bash you don't need to do anything.

Download Datas For Tutorials

You can Found MC Datas, pre-made JSON config files and DQ Skimmed datas for tutorial at: Click Here password: DQ

Create a new folder in pythonInterfaceOOP directory with mkdir Datas and move the downloaded datas here.

You can found Real Data for pp at : Click Here

You can found Real Data for PbPb at : Click Here

or Click Here

P.S: Dont forget the change name of AO2D.root files for interface and Move this datas to you previously create Datas Folder.

For PbPb Data : AO2D.root to AO2D_PbPbDataRun2_LHC15o.root

For pp Data : AO2D.root to AO2D_ppDataRun3_LHC22c.root

If you downloaded these datasets, you can start.

Workflows In Tutorials

For MC:
Workflow Dataset Skimmed Process Type Col Syst
tableMakerMC LHC21i3d2 No MuonOnlyWithCov
OnlyBCs		 J/ψ → μ+ μ− pp
dqEfficiency LHC21i3d2 Yes DecayToMuMu J/ψ → μ+ μ− pp
tableMakerMC LHC21i3b No BarrelOnly
OnlyBCs		 J/ψ → e+ e− pp
dqEfficiency LHC21i3b Yes DecayToEE J/ψ → e+ e− pp
tableMakerMC LHC21i3f2 No BarrelOnly
OnlyBCs		 hB → J/ψ + X, J/ψ → e+ e− pp
dqEfficiency LHC21i3f2 Yes DecayToEE hB → J/ψ + X, J/ψ → e+ e− pp
For Data:
Workflow Dataset Skimmed Process Selection Col Syst
tableMaker LHC15o No BarrelOnlyWithCent
OnlyBCs		 J/ψ → e+ e− PbPb
tableReader LHC15o Yes DecayToEE J/ψ → e+ e− PbPb
tableMaker LHC15o No FullWithCent
BarrelOnlyWithQvector
OnlyBCs		 J/ψ → e+ e− PbPb
tableReader LHC15o Yes VnDecayToEE J/ψ → e+ e− PbPb
dqFlow LHC15o No - - PbPb
v0Selector LHC15o No - - PbPb
tableMaker LHC22c No MuonOnlyWithCov
OnlyBCs		 J/ψ → μ+ μ− pp
tableReader LHC22c Yes DecayToMuMuVertexing J/ψ → μ+ μ− pp
filterPP fwdprompt No eventSelection
barrelTrackSelection
muonSelection		 All Events pp
For Dileptons:
Workflow Dataset Process Type Col Syst
dqEfficiency AO2D_Bc100 DecayToMuMuVertexing
dileptonTrackDimuonMuonSelection		 Bc → J/ψ → (μ+ μ−) + μ pp
tableReader LHC15o DecayToEE
dileptonHadron		 dileptonhadron PbPb
TO BE ADDED IN TUTORIALS (Not Prepared Yet):
Workflow Dataset Process Type Col Syst
dqEfficiency AO2D_Bplus DecayToMuMuVertexing
dileptonTrackDimuonMuonSelection		 B+ → J/ψ + K, → J/ψ → e+ e− pp

Skimmed Datas In Tutorials

Reduced DQ skimmed data list created with tableMaker/tableMakerMC:
Data Dataset Used Workflow Selected Processes (from tableMaker)
reducedAod_ppMC_LHC21i3d2.root LHC21i3d2 tableMakerMC MuonOnlyWithCov
OnlyBCs
reducedAod_ppMC_LHC21i3b.root LHC21i3b tableMakerMC BarrelOnly
OnlyBCs
reducedAod_ppMC_LHC21i3f2.root LHC21i3f2 tableMakerMC BarrelOnly
OnlyBCs
reducedAod_ppMC_Bc100.root Bc100 tableMakerMC MuonOnlyWithCov
OnlyBCs
reducedAod_PbPbData_LHC15o.root LHC15o tableMaker BarrelOnlyWithCent
OnlyBCs
reducedAod_PbPbData_LHC15o_Flow.root LHC15o tableMaker FullWithCent
BarrelOnlyWithQvector
OnlyBCs
reducedAod_PbPbData_LHC15o_dileptonHadron.root LHC15o tableMaker BarrelOnly
OnlyBCs
reducedAod_ppData_LHC22c.root LHC22c tableMaker MuonOnlyWithCov
OnlyBCs
Reduced DQ Dileptons skimmed data list For Dilepton Analysis (dilepton-track and dilepton-hadron) created with tableReader/dqEfficiency:
Data Dataset Used Workflow Selected Processes (from tableMaker)
dileptonAOD_ppMC_BC100.root Bc100 dqEfficiency MuonOnlyWithCov
OnlyBCs
dileptonAOD_PbPbData_LHC15o_dileptonHadron.root LHC15o tableReader BarrelOnly
OnlyBCs

Pre-Made JSON configuration Files In Tutorials

Config JSON list created with Scripts.

Common JSON configs
Config For Description
configAnalysis_LHC21i3b_MC.json MCRun3 Run dqEfficiency on LHC21i3b Simulation → reducedAod_ppMC_LHC21i3b.root
configAnalysis_LHC21i3d2_MC.json MCRun3 Run dqEfficiency on LHC21i3d2 Simulation → reducedAod_ppMC_LHC21i3d2.root
configAnalysis_LHC21i3f2_MC.json MCRun3 Run dqEfficiency on LHC21i3f2 Simulation → reducedAod_ppMC_LHC21i3f2.root
ConfigAnalysis_LHC15o_Data.json DataRun2 Run tableReader on LHC15o Data without flow → reducedAod_PbPbData_LHC15o.root
ConfigAnalysis_LHC15o_Flow_Data.json DataRun2 Run tableReader on LHC15o Data for Flow Analysis → reducedAod_PbPbData_LHC15o_Flow.root
ConfigAnalysis_LHC22c_Data.json DataRun3 Run tableReader on LHC22c Data → reducedAod_PbPbData_LHC15o.root
configTableMaker_LHC21i3b_MCRun3.json MCRun3 Run tableMakerMC on LHC21i3b Simulation → AO2D_ppMCRun3_LHC21i3b.root
configTableMaker_LHC21i3d2_MCRun3.json MCRun3 Run tableMakerMC on LHC21i3d2 Simulation → AO2D_ppMCRun3_LHC21i3d2.root
configTableMaker_LHC21i3f2_MCRun3.json MCRun3 Run tableMakerMC on LHC21i3f2 Simulation → AO2D_ppMCRun3_LHC21i3f2.root
ConfigTableMaker_LHC15o_DataRun2.json DataRun2 Run tableMaker on LHC15o without Flow → AO2D_PbPbDataRun2_LHC15o.root
ConfigTableMaker_LHC15o_Flow_DataRun2.json DataRun2 Run tableMaker on LHC15o For Flow Analysis → AO2D_PbPbDataRun2_LHC15o.root
ConfigTableMaker_LHC22c_DataRun3.json DataRun3 Run tableMaker on LHC22c Data → AO2D_ppDataRun3_LHC22c.root
configV0Selector_LHC15o_DataRun2.json DataRun2 Run v0Selector on LHC15o Data → AO2D_PbPbDataRun2_LHC15o.root
JSON configs for Single Workflows
Config For Description
configFilterPP_fwdprompt_Run3.json MCRun3 Run filterPP on fwdprompt → AO2D_fwdprompt.root
configFlow_LHC15o_DataRun2.json DataRun2 Run dqFlow on LHC15o Data → AO2D_PbPbDataRun2_LHC15o.root
configV0Selector_LHC15o_DataRun2.json DataRun2 Run v0Selector on LHC15o Data → AO2D_PbPbDataRun2_LHC15o.root

JSON configs for dilepton-hadron and dilepton-track analysis:

JSON configs for dilepton-hadron and dilepton-track analysis:
Config For Description
configTableMaker_Bc100_MCRun3.json MCRun3 Run tableMakerMC on Bc100 Simulation for prepare dilepton-track analysis → AO2D_Bc100.root
configAnalysis_Bc100_MC.json MCRun3 Run dqEfficiency on Bc100 Simulation for prepare skimmed dileptons output → reducedAod_ppMC_Bc100.root
configAnalysisDilepton_Bc100_MC.json MCRun3 Run dqEfficiency on Bc100 Simulation for dilepton analysis → dileptonAOD_ppMC_BC100.root
configTableMaker_LHC15o_DileptonHadron_DataRun2.json DataRun2 Run tableMaker on LHC15o Data for prepare dilepton-hadron analysis → AO2D_PbPbDataRun2_LHC15o.root
configAnalysis_LHC15o_dileptonHadron_Data.json DataRun2 Run tableReader on LHC15o Data for prepare skimmed dileptons output → reducedAod_PbPbData_LHC15o_dileptonHadron.root
configAnalysisDilepton_LHC15o_dileptonHadron_Data.json DataRun2 Run tableReader on LHC15o Data for dilepton analysis → reducedAod_PbPbData_LHC15o_dileptonHadron.root

P.S. Root files are inputs for JSON configs

MC Part

VERY IMPORTANT: For this section, you need convert runOverMC variable to True in python scripts (runAnalysis.py and runTableMaker.py).

Run tableMakerMC on LHC21i3d2 (jpsi to MuMu pp Run3Simulation)

Command To Run:

python3 runTableMaker.py configs/configTableMakerMCRun3.json --internal-dpl-aod-reader:aod-file Datas/AO2D_ppMCRun3_LHC21i3d2.root --table-maker-m-c:processMuonOnlyWithCov true --event-selection-task:syst pp --table-maker-m-c:cfgMuonCuts muonQualityCuts muonTightQualityCutsForTests --table-maker-m-c:cfgMCsignals muFromJpsi Jpsi muon --add_track_prop --logFile

Run dqEfficiency on MC (LHC21i3d2 pp Run3Simulation)

You need to produce reducedAod.root file with tableMakerMC in previous step.

Command To Run:

python3 runAnalysis.py configs/configAnalysisMC.json --internal-dpl-aod-reader:aod-file reducedAod.root --analysis-track-selection:processSkimmed false --analysis-muon-selection:processSkimmed true --analysis-same-event-pairing:processDecayToMuMuVertexingSkimmed true --analysis-event-selection:cfgQA true --analysis-muon-selection:cfgQA true --analysis-same-event-pairing:cfgMuonCuts muonQualityCuts muonTightQualityCutsForTests --analysis-muon-selection:cfgMuonCuts muonQualityCuts muonTightQualityCutsForTests --analysis-muon-selection:cfgMuonMCSignals muFromJpsi --analysis-same-event-pairing:cfgBarrelMCRecSignals mumuFromJpsi dimuon --analysis-same-event-pairing:cfgBarrelMCGenSignals jpsi --logFile

Run tablemakerMC on LHC21i3b (Prompt jpsi to dielectron pp Run3Simulation)

Command To Run:

python3 runTableMaker.py configs/configTableMakerMCRun3.json --internal-dpl-aod-reader:aod-file Datas/AO2D_ppMCRun3_LHC21i3b.root --table-maker-m-c:processBarrelOnly true --event-selection-task:syst pp --table-maker-m-c:cfgBarrelTrackCuts jpsiO2MCdebugCuts jpsiO2MCdebugCuts2 jpsiO2MCdebugCuts3 jpsiO2MCdebugCuts4 --table-maker-m-c:cfgMCsignals electronPrimary eFromJpsi Jpsi LMeeLF LMeeLFQ --logFile

Run dqEfficiency on MC (LHC21i3b pp Run3Simulation)

You need to produce reducedAod.root file with tableMakerMC in previous step.

Command To Run:

python3 runAnalysis.py configs/configAnalysisMC.json --internal-dpl-aod-reader:aod-file reducedAod.root --analysis-track-selection:processSkimmed true --analysis-muon-selection:processSkimmed false --analysis-same-event-pairing:processDecayToEESkimmed true --analysis-track-selection:cfgQA true --analysis-same-event-pairing:cfgBarrelMCGenSignals Jpsi --analysis-same-event-pairing:cfgBarrelMCRecSignals eeFromJpsi dielectron --analysis-track-selection:cfgTrackCuts jpsiO2MCdebugCuts --analysis-track-selection:cfgTrackMCSignals eFromJpsi eFromNonpromptJpsi --logFile

Run tablemakerMC on LHC21i3f2 (Non-Prompt jpsi to dielectron pp Run3Simulation)

Command To Run:

python3 runTableMaker.py configs/configTableMakerMCRun3.json --internal-dpl-aod-reader:aod-file Datas/AO2D_ppMCRun3_LHC21i3f2.root --table-maker-m-c:processBarrelOnly true --event-selection-task:syst pp --table-maker-m-c:cfgBarrelTrackCuts jpsiO2MCdebugCuts --table-maker-m-c:cfgMCsignals electronPrimary eFromJpsi eFromNonpromptJpsi eFromLMeeLF LMeeLF Jpsi everythingFromBeauty --debug debug --logFile

Run dqEfficiency on LHC21i3f2 (LHC21i3f2 pp Run3Simulation)

You need to produce reducedAod.root file with tableMakerMC in previous step.

Command To Run:

python3 runAnalysis.py configs/configAnalysisMC.json --internal-dpl-aod-reader:aod-file reducedAod.root  --analysis-track-selection:processSkimmed true --analysis-muon-selection:processSkimmed false --analysis-same-event-pairing:processDecayToEESkimmed true --analysis-track-selection:cfgQA true --analysis-same-event-pairing:cfgBarrelMCGenSignals Jpsi nonPromptJpsi --analysis-same-event-pairing:cfgBarrelMCRecSignals eeFromJpsi dielectron --analysis-track-selection:cfgTrackCuts jpsiO2MCdebugCuts --analysis-same-event-pairing:cfgTrackCuts jpsiO2MCdebugCuts --analysis-track-selection:cfgTrackMCSignals eFromJpsi eFromNonpromptJpsi --debug debug --logFile

Data Part

VERY IMPORTANT: For this section, you need convert runOverMC variable is False in python scripts (runAnalysis.py and runTableMaker.py).

Run tableMaker on LHC15o (LHC15o PbPb Run2Data)

Command To Run:

python3 runTableMaker.py configs/configTableMakerDataRun2.json --internal-dpl-aod-reader:aod-file Datas/AO2D_PbPbDataRun2_LHC15o.root --table-maker:processBarrelOnlyWithCent true --event-selection-task:syst PbPb --table-maker:cfgQA true --centrality-table:estRun2V0M 1 --table-maker:cfgBarrelTrackCuts jpsiPID1 jpsiPID2 --add_fdd_conv --logFile

Run tableReader on LHC15o (LHC15o PbPb Run2Data)

You need to produce reducedAod.root file with tableMaker in previous step.

Command To Run:

python3 runAnalysis.py configs/configAnalysisData.json --internal-dpl-aod-reader:aod-file reducedAod.root --analysis-track-selection:processSkimmed true --analysis-muon-selection:processSkimmed false --analysis-same-event-pairing:processDecayToEESkimmed true --analysis-track-selection:cfgQA true --analysis-track-selection:cfgTrackCuts jpsiPID1 jpsiPID2 --analysis-same-event-pairing:cfgTrackCuts jpsiPID1 jpsiPID2 --logFile

Run tableMaker on LHC15o With Generic Flow Analysis (LHC15o PbPb Run2Data)

Command To Run:

python3 runTableMaker.py configs/configTableMakerDataRun2.json --internal-dpl-aod-reader:aod-file Datas/AO2D_PbPbDataRun2_LHC15o.root --table-maker:processFullWithCent true --table-maker:processBarrelOnlyWithQvector true --event-selection-task:syst PbPb --table-maker:cfgQA true --centrality-table:estRun2V0M 1 --table-maker:cfgBarrelTrackCuts jpsiPID1 jpsiPID2 --d-q-event-qvector:cfgBarrelTrackCuts jpsiPID1 jpsiPID2 --add_fdd_conv --logFile

Run tableReader on LHC15o with Generic Flow Analysis (LHC15o PbPb Run2Data)

You need to produce reducedAod.root file with tableMaker in previous step.

Command To Run:

python3 runAnalysis.py configs/configAnalysisData.json --internal-dpl-aod-reader:aod-file reducedAod.root --analysis-track-selection:processSkimmed true --analysis-muon-selection:processSkimmed false --analysis-same-event-pairing:processVnDecayToEE true --analysis-track-selection:cfgQA true --analysis-track-selection:cfgTrackCuts jpsiPID1 jpsiPID2 --analysis-same-event-pairing:cfgTrackCuts jpsiPID1 jpsiPID2 --debug debug --logFile

Run dqFlow on LHC15o (LHC15o PbPb Run2Data)

Command To Run:

python3 runDQFlow.py configs/configFlowDataRun2.json --internal-dpl-aod-reader:aod-file Datas/AO2D_PbPbDataRun2_LHC15o.root --event-selection-task:syst PbPb --d-q-event-qvector:cfgQA true --centrality-table:estRun2V0M 1 --d-q-event-qvector:cfgBarrelTrackCuts jpsiPID1 jpsiPID2 --d-q-event-qvector:cfgMuonCuts muonQualityCuts muonTightQualityCutsForTests --add_fdd_conv

Run v0Selector on LHC15o (LHC15o PbPb Run2Data)

Command To Run:

python3 runV0selector.py configs/configV0SelectorDataRun2.json --internal-dpl-aod-reader:aod-file Datas/AO2D_PbPbDataRun2_LHC15o.root --add_fdd_conv --add_weakdecay_ind

Run tableMaker on LHC22c (LHC22c pp Run3Data)

Command To Run:

python3 runTableMaker.py configs/configTableMakerDataRun3.json --internal-dpl-aod-reader:aod-file Datas/AO2D_ppDataRun3_LHC22c.root --table-maker:processMuonOnlyWithCov true --table-maker:processBarrelOnlyWithCov true --event-selection-task:syst pp --table-maker:cfgQA true --table-maker:cfgMuonCuts muonQualityCuts muonTightQualityCutsForTests --table-maker:cfgBarrelTrackCuts jpsiPID1 jpsiPID2 jpsiO2MCdebugCuts --add_track_prop --logFile

Run tableReader on Data (LHC22c pp Run3Data)

You need to produce reducedAod.root file with tableMaker in previous step.

Command To Run:

python3 runAnalysis.py configs/configAnalysisData.json --internal-dpl-aod-reader:aod-file reducedAod.root --analysis-track-selection:processSkimmed true --analysis-muon-selection:processSkimmed true --analysis-same-event-pairing:processDecayToEESkimmed true --analysis-same-event-pairing:processDecayToMuMuVertexingSkimmed true --analysis-track-selection:cfgQA true --analysis-muon-selection:cfgQA true --analysis-muon-selection:cfgMuonCuts muonQualityCuts muonTightQualityCutsForTests --analysis-track-selection:cfgTrackCuts jpsiPID1 jpsiPID2 jpsiO2MCdebugCuts --analysis-same-event-pairing:cfgMuonCuts muonQualityCuts muonTightQualityCutsForTests --analysis-same-event-pairing:cfgTrackCuts jpsiPID1 jpsiPID2 jpsiO2MCdebugCuts --analysis-same-event-pairing:cfgAddSEPHistogram barrel dimuon vertexing-forward vertexing --logFile

IMPORTANT NOTE: Here we used the cfgAddSEPHistogram argument (--analysis:same-event-paring:cfgAddSEPHistogram barrel dimuon vertexing-forward vertexing) to define same event pairing histograms. This is because by default, dielectron decay histograms for same event pairing are defined in the configAnalysisData.json config file, and since we are doing dimuon analysis here, we have to also add muon histogram groups to histogram configurations with the configuration for dimuon.

Run filterPP on fwdprompt(From Hands-on-Session II)

Command To Run:

python3 runFilterPP.py configs/configFilterPPDataRun3.json --internal-dpl-aod-reader:aod-file Datas/AO2D_fwdprompt.root --event-selection-task:syst pp --d-q-barrel-track-selection:cfgBarrelTrackCuts jpsiO2MCdebugCuts jpsiPID2 --d-q-filter-p-p-task:cfgBarrelSels jpsiO2MCdebugCuts:pairNoCut:1 jpsiPID2::1 --d-q-muons-selection:cfgMuonsCuts muonLowPt muonHighPt muonLowPt --d-q-filter-p-p-task:cfgMuonSels muonLowPt::1 muonHighPt::1 muonLowPt:pairUpsilon:1 --d-q-filter-p-p-task:cfgWithQA true --logFile

P.S. Cuts Needs to optimized.

Special Part : Dilepton Analysis For Non-Standart Existing Workflows in DQ

This section includes analysis with non-standard workflows in DQ workflows. These analyzes are carried out in 3 stages:

  1. DQ skimmed data is created with TableMaker/tableMakerMC (input: AO2D.root, output: AnalysisResults.root)

  2. DQ skimmed extra dilepton tables are created with tableReader/dqEfficiency and with this way new DQ skimmed data with extra dilepton tables are created on dileptonAod.root, Normally reducedAod.root that does not contains dilepton tables (input : reducedAod.root, output: AnalysisResults.root and dileptonAod.root)

  3. With tableReader/dqEfficiency, analysis is performed on DQ skimmed dilepton data created earlier (input: dileptonAod.root and output: AnalysisResults.root)

MC : Dilepton Track Analysis (On Bc Simulation)

VERY IMPORTANT: For this section, you need convert runOverMC variable to True in python scripts (runAnalysis.py and runTableMaker.py).

First Command To Run:

python3 runTableMaker.py configs/configTableMakerMCRun3.json --internal-dpl-aod-reader:aod-file Datas/AO2D_Bc100.root --table-maker-m-c:processMuonOnlyWithCov true --event-selection-task:syst pp --table-maker-m-c:cfgMCsignals Jpsi Bc anyBeautyHadron --table-maker-m-c:cfgMuonCuts matchedGlobal --table-maker-m-c:cfgMuonLowPt 0.0 --logFile

Second Command To Run:

python3 runAnalysis.py configs/configAnalysisMC.json --internal-dpl-aod-reader:aod-file reducedAod.root --analysis-track-selection:processSkimmed false --analysis-muon-selection:processSkimmed true --analysis-same-event-pairing:processDecayToMuMuVertexing true --analysis-muon-selection:cfgQA true --analysis-muon-selection:cfgMuonCuts matchedGlobal --analysis-same-event-pairing:cfgMuonCuts matchedGlobal --analysis-muon-selection:cfgMuonMCSignals muon muFromJpsi muFromBc dimuon --analysis-same-event-pairing:cfgBarrelMCGenSignals Jpsi --analysis-same-event-pairing:cfgBarrelMCRecSignals mumuFromJpsi --logFile --writer true

Note: We defined --writer argument as true for producing extra dilepton tables into dileptonAod.root from reducedAod.root.

Third Command To Run:

python3 runAnalysis.py configs/configAnalysisMC.json --internal-dpl-aod-reader:aod-file dileptonAOD.root --analysis-muon-selection:processSkimmed true --analysis-track-selection:processSkimmed false --analysis-dilepton-track:processDimuonMuonSkimmed true --analysis-same-event-pairing:processDecayToMuMuVertexingSkimmed true --analysis-muon-selection:cfgMuonCuts matchedGlobal --analysis-muon-selection:cfgMuonMCSignals muon muFromJpsi muFromBc dimuon --analysis-dilepton-track:cfgBarrelMCRecSignals mumuFromJpsiFromBc mumumuFromBc --analysis-dilepton-track:cfgBarrelMCGenSignals Jpsi --analysis-same-event-pairing:cfgBarrelMCRecSignals mumuFromJpsi dimuon --analysis-same-event-pairing:cfgMuonCuts matchedGlobal --logFile

Note: We defined --reader argument for reading dilepton tables from dileptonAOD.

Data : Dilepton Hadron Analysis (On PbPb Data LHC15o)

VERY IMPORTANT: For this section, you need convert runOverMC variable to False in python scripts (runAnalysis.py and runTableMaker.py).

First Command To Run:

python3 runTableMaker.py configs/configTableMakerDataRun2.json -runData --aod Datas/AO2D_PbPbDataRun2_LHC15o.root --process OnlyBCs BarrelOnly --syst PbPb --cfgWithQA true --est Run2V0M --cfgBarrelTrackCuts jpsiPID1 jpsiPID2 --add_fdd_conv --debug debug --logFile

Second Command To Run:

python3 runTableReader.py configs/configAnalysisData.json --aod reducedAod.root --analysis eventSelection trackSelection sameEventPairing --process DecayToEE --cfgQA true --cfgTrackCuts jpsiPID1 jpsiPID2 --debug debug --logFile --writer configs/writerConfiguration_dileptons.json

Third Command To Run:

python3 runTableReader.py configs/configAnalysisData.json --aod dileptonAOD.root --analysis eventSelection trackSelection sameEventPairing dileptonHadron --process DecayToEE --cfgQA true --cfgTrackCuts jpsiPID1 jpsiPID2 --debug debug --logFile

Special Part : run tableMaker and tableReader at the same time

Command To Run:

python3 runAnalysis.py configs/configAnalysisData.json --analysis-same-event-pairing:processDecayToEESkimmed true -runParallel;python3 runTableMaker.py configs/configTableMakerDataRun3.json --internal-dpl-aod-reader:aod-file Datas/AO2D_ppDataRun3_LHC22c.root --table-maker:processBarrelOnly true -runParallel --add_track_prop

To run the tablemaker and the tablereader at the same time, you must first configure the tableReader with the runAnalysis.py script. then after adding the -runParallel argument ; (it called as semi-colon) is put. Then the tableMaker is configured and the path of the AOD file must be given in the tableMaker script (again, given the -runParallel argument, don't forget for both scripts). Same goes for MC (for tableMakerMC and dqEfficiency, you need change runOverMC variables to False)

This way it produces analysis results for both tableReader and tableMaker in AnalysisResults.root, and you get reducedAod.root (it contains reduced tables from DQ data model)

← Go back to Instructions For Python Scripts | ↑ Go to the Table of Content ↑ | Continue to Developer Guide →