CMS list of validated runs for primary datasets of 2010 data taking

Description

This file describes which luminosity sections in which runs are considered good and should be processed.

This list covers all p-p data taking in 2010. RunA is between run numbers 135808 and 144431, and RunB between 146428 and 149294.

How was the validation done?

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:

CMS data quality monitoring: Systems and experiences

The CMS Data Quality Monitoring software experience and future improvements

The CMS data quality monitoring software: experience and future prospects

How to use?

Add the following lines in the configuration file for a cmsRun job:

   import FWCore.ParameterSet.Config as cms

   import FWCore.PythonUtilities.LumiList as LumiList

   goodJSON = 'Cert_136033-149442_7TeV_Apr21ReReco_Collisions10_JSON_v2.txt'

   myLumis = LumiList.LumiList(filename = goodJSON).getCMSSWString().split(',') 

Add the file path if needed in the file name.

Add the following statements after the process.source input file definition:

   process.source.lumisToProcess = cms.untracked.VLuminosityBlockRange()

   process.source.lumisToProcess.extend(myLumis)

Note that the two last statements must be placed after the process.source statement defining the input files.