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0001 from RecoEgamma.PhotonIdentification.Identification.mvaPhotonID_tools import * 0002 0003 mvaVariablesFile = "RecoEgamma/PhotonIdentification/data/PhotonMVAEstimatorRun2VariablesSpring15.txt" 0004 0005 # This MVA ID is the same as 50ns V2 except it uses quantities embedded 0006 # in the objects rather than value maps. 0007 # 0008 # In this file we define the locations of the MVA weights, cuts on the MVA values 0009 # for specific working points, and configure those cuts in VID 0010 # 0011 0012 # 0013 # The following MVA is derived for Spring15 MC samples for non-triggering photons. 0014 # See more documentation in this presentation: 0015 # https://indico.cern.ch/event/369237/contribution/2/attachments/1128009/1611753/egamma-July17-2015.pdf 0016 # this also contains a minor update from email exchanges (thus move to V2) 0017 # Specific docs for V2 are in this final presentation: 0018 # https://indico.cern.ch/event/369241/contribution/1/attachments/1140148/1632879/egamma-Aug14-2015.pdf 0019 0020 # This MVA implementation class name 0021 mvaSpring15NonTrigClassName = "PhotonMVAEstimator" 0022 # The tag is an extra string attached to the names of the products 0023 # such as ValueMaps that needs to distinguish cases when the same MVA estimator 0024 # class is used with different tuning/weights 0025 mvaTag = "Run2Spring15NonTrig50nsV2p1" 0026 0027 # There are 2 categories in this MVA. They have to be configured in this strict order 0028 # (cuts and weight files order): 0029 # 0 barrel photons 0030 # 1 endcap photons 0031 0032 mvaSpring15NonTrigWeightFiles_V2p1 = cms.vstring( 0033 path.join(weightFileBaseDir, "Spring15/50ns_EB_V2.weights.xml.gz"), 0034 path.join(weightFileBaseDir, "Spring15/50ns_EE_V2.weights.xml.gz"), 0035 ) 0036 0037 # The locatoins of value maps with the actual MVA values and categories 0038 # for all particles. 0039 # The names for the maps are "<module name>:<MVA class name>Values" 0040 # and "<module name>:<MVA class name>Categories" 0041 mvaProducerModuleLabel = "photonMVAValueMapProducer" 0042 mvaValueMapName = mvaProducerModuleLabel + ":" + mvaSpring15NonTrigClassName + mvaTag + "Values" 0043 mvaCategoriesMapName = mvaProducerModuleLabel + ":" + mvaSpring15NonTrigClassName + mvaTag + "Categories" 0044 0045 # The working point for this MVA that is expected to have about 90% signal 0046 # efficiency in each category for photons with pt>30 GeV (somewhat lower 0047 # for lower pt photons). 0048 idName = "mvaPhoID-Spring15-50ns-nonTrig-V2p1-wp90" 0049 MVA_WP90 = PhoMVA_2Categories_WP( 0050 idName = idName, 0051 mvaValueMapName = mvaValueMapName, # map with MVA values for all particles 0052 mvaCategoriesMapName = mvaCategoriesMapName, # map with category index for all particles 0053 cutCategory0 = 0.29538, # EB 0054 cutCategory1 = 0.45837 # EE 0055 ) 0056 0057 # 0058 # Finally, set up VID configuration for all cuts 0059 # 0060 0061 # Create the PSet that will be fed to the MVA value map producer 0062 mvaPhoID_Spring15_50ns_nonTrig_V2p1_producer_config = cms.PSet( 0063 mvaName = cms.string(mvaSpring15NonTrigClassName), 0064 mvaTag = cms.string(mvaTag), 0065 weightFileNames = mvaSpring15NonTrigWeightFiles_V2p1, 0066 variableDefinition = cms.string(mvaVariablesFile), 0067 # Category parameters 0068 nCategories = cms.int32(2), 0069 categoryCuts = category_cuts 0070 ) 0071 # Create the VPset's for VID cuts 0072 mvaPhoID_Spring15_50ns_nonTrig_V2p1_wp90 = configureVIDMVAPhoID_V1( MVA_WP90 ) 0073 0074 # The MD5 sum numbers below reflect the exact set of cut variables 0075 # and values above. If anything changes, one has to 0076 # 1) comment out the lines below about the registry, 0077 # 2) run "calculateMD5 <this file name> <one of the VID config names just above> 0078 # 3) update the MD5 sum strings below and uncomment the lines again. 0079 # 0080 0081 central_id_registry.register( mvaPhoID_Spring15_50ns_nonTrig_V2p1_wp90.idName, 0082 '9b03aa4412c43fdbd72ea55f2e1a16bc') 0083 0084 mvaPhoID_Spring15_50ns_nonTrig_V2p1_wp90.isPOGApproved = cms.untracked.bool(True)
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