コード例 #1
0
def AddHistPairWithL1(cutTree = None,cut = None, RefTrig = None, TestTrig = None, L1ListRef = None,L1ListTest = None):
  """docstring for AddBinedHist"""
  out = []
  refTrigs = None
  if "Mu" in RefTrig:
   refTrigs = [TestTrig,RefTrig]
  else: refTrigs = [TestTrig]
  refPlots = PL_TriggerTurnOns( PSet(DirName = RefTrig+"_For_"+TestTrig,MinObjects =0 ,
                                MaxObjects = 15,Plots = True, ReWeight = True if "Mu" not in RefTrig else False,
                                TriggerReWeight = refTrigs,   Verbose = False,
                                ReWeightL1 = False, L1TriggerReWeight = [L1ListRef]).ps())

  testTrigPlots = PL_TriggerTurnOns( PSet(DirName = TestTrig+"_From_"+RefTrig,MinObjects = 0,
                                     MaxObjects = 15,Plots = True, ReWeight = True,
                                     TriggerReWeight = [TestTrig], Verbose = False,
                                     ReWeightL1 = True, L1TriggerReWeight = [L1ListTest]).ps())


  refTrigPS =  PSet(Verbose = False,UsePreScaledTriggers = True,Triggers = [] )
  refTrigPS.Triggers = [RefTrig]
  refTrigOP = OP_MultiTrigger( refTrigPS.ps() )
  testTrigPS = PSet(Verbose = False,UsePreScaledTriggers = True,Triggers = [] )
  testTrigPS.Triggers = [TestTrig]
  print "RefTrig = %s, testTrig = %s"%(refTrigPS.Triggers[0],testTrigPS.Triggers[0])
  testTrigOP = OP_MultiTrigger( testTrigPS.ps() )
  cutTree.TAttach(cut,refTrigOP)
  cutTree.TAttach(refTrigOP,refPlots)
  cutTree.TAttach(refTrigOP,testTrigOP)
  cutTree.TAttach(testTrigOP,testTrigPlots)
  out.append(refTrigOP)
  out.append(refPlots)
  out.append(testTrigPlots)
  out.append(testTrigOP)
  return out
  pass
コード例 #2
0
def makePlotOp(OP = (), cutTree = None, cut = None, label = ""):
  """docstring for makePlotOp"""
  out = []
  if OP[1] != None:
    plotpset = deepcopy(OP[1])
    plotpset.DirName = label
    print plotpset.DirName
    op = eval(OP[0]+"(plotpset.ps())")
  else:
    op = eval(OP[0])
  out.append(op)
  cutTree.TAttach(cut,op)
  alpha = OP_CommonAlphaTCut(0.55)
  dump = EventDump()
  skim_ps=PSet(
    SkimName = "myskim",
    DropBranches = False,
    Branches = [
        " keep * "
        ]
  )
  skim = SkimOp(skim_ps.ps())
  # out.append(skim)
  # out.append(skim_ps)
  cutTree.TAttach(cut,alpha)
  #cutTree.TAttach(cut,dump)
  #cutTree.TAttach(cut,skim)
  #cutTree.TAttach(alpha,dump)
  #cutTree.TAttach(alpha,skim)
  out.append(skim)
  out.append(alpha)
  out.append(dump)
  return out
  pass
コード例 #3
0
ファイル: batchGolden.py プロジェクト: mengzx/CMS-SUSY-2012
def makePlotOp(OP=(), cutTree=None, cut=None, label=""):
    """docstring for makePlotOp"""
    out = []
    if OP[1] != None:
        plotpset = deepcopy(OP[1])
        plotpset.DirName = label
        print plotpset.DirName
        op = eval(OP[0] + "(plotpset.ps())")
    else:
        op = eval(OP[0])
    out.append(op)
    cutTree.TAttach(cut, op)
    alpha = OP_CommonAlphaTCut(0.55)
    dump = EventDump()
    skim_ps = PSet(SkimName="myskim",
                   DropBranches=False,
                   Branches=[" keep * "])
    skim = SkimOp(skim_ps.ps())
    # out.append(skim)
    # out.append(skim_ps)
    cutTree.TAttach(cut, alpha)
    cutTree.TAttach(alpha, dump)
    # cutTree.TAttach(alpha,skim)
    out.append(alpha)
    out.append(dump)
    return out
    pass
コード例 #4
0
ファイル: utils.py プロジェクト: lucasc896/charmStudy
def evList_to_pset(fname, debug=False):
    """ Takes an input event list file and converts to a PSet suitable for use in analysis code."""
    """NOTE: made for txt file format 'Run:LS:Event' """

    import sys
    from icf.core import PSet

    with open(fname, "r") as f:

        p = PSet()

        runList = []
        lumiSList = []
        evList = []

        for line in f:
            lineTmp = line.split(":")

            #fill each list
            runList.append(int(lineTmp[0]))
            lumiSList.append(int(lineTmp[1]))
            evList.append(int(lineTmp[2]))

        #create new entry in the PSet for each list
        p._quiet_set("Run", runList)
        p._quiet_set("Lumi", lumiSList)
        p._quiet_set("Event", evList)

        return p.ps()
コード例 #5
0
ファイル: Run.py プロジェクト: mengzx/CMS-SUSY-2012
def AddBinedHist(cutTree=None,
                 OP=(),
                 cut=None,
                 htBins=[],
                 TriggerDict=None,
                 lab=""):
    """docstring for AddBinedHist"""
    out = []
    if TriggerDict is not None:
        for lower, upper in zip(htBins, htBins[1:] + [None]):
            # print "Lower , Upper =", lower , upper
            if int(lower) == 325 and upper is None: continue
            if int(lower) == 375 and upper is None: continue
            # print "continue should have happened now"
            lowerCut = eval("RECO_CommonHTCut(%d)" % lower)
            triggerps = PSet(Verbose=False,
                             UsePreScaledTriggers=False,
                             Triggers=[])
            triggerps.Triggers = TriggerDict["%d%s" % (lower, "_%d" %
                                                       upper if upper else "")]
            Trigger = OP_MultiTrigger(triggerps.ps())
            out.append(triggerps)
            out.append(Trigger)
            out.append(lowerCut)
            cutTree.TAttach(cut, Trigger)
            cutTree.TAttach(Trigger, lowerCut)
            if upper:
                upperCut = eval("RECO_CommonHTLessThanCut(%d)" % upper)
                out.append(upperCut)
                cutTree.TAttach(lowerCut, upperCut)
            pOps = makePlotOp(cutTree=cutTree,
                              OP=OP,
                              cut=upperCut if upper else lowerCut,
                              label="%s%d%s" %
                              (lab, lower, "_%d" % upper if upper else ""))
            out.append(pOps)
    else:
        for lower, upper in zip(htBins, htBins[1:] + [None]):
            # print "Lower , Upper =", lower , upper
            if int(lower) == 325 and upper is None: continue
            if int(lower) == 375 and upper is None: continue
            # print "continue should have happened now"
            lowerCut = eval("RECO_CommonHTCut(%d)" % lower)
            out.append(lowerCut)
            cutTree.TAttach(cut, lowerCut)
            if upper:
                upperCut = eval("RECO_CommonHTLessThanCut(%d)" % upper)
                out.append(upperCut)
                cutTree.TAttach(lowerCut, upperCut)
            pOps = makePlotOp(cutTree=cutTree,
                              OP=OP,
                              cut=upperCut if upper else lowerCut,
                              label="%s%d%s" %
                              (lab, lower, "_%d" % upper if upper else ""))
            out.append(pOps)
    return out
    pass
コード例 #6
0
def AddBinedHist(cutTree = None, OP = (), cut = None, htBins = [],TriggerDict = None,lab = ""):
  """docstring for AddBinedHist"""
  out = []
  if TriggerDict is not None:
      for lower,upper in zip(htBins,htBins[1:]+[None]):
        # print "Lower , Upper =", lower , upper
        if int(lower) == 325 and upper is None: continue
        if int(lower) == 375 and upper is None: continue
        if int(lower) == 475 and upper is None: continue
        if int(lower) == 675 and upper is None: continue
        # print "continue should have happened now"
        lowerCut = eval("RECO_CommonHTCut(%d)"%lower)
        triggerps = PSet(Verbose = False,
        UsePreScaledTriggers = False,
        Triggers = [])
        triggerps.Triggers = TriggerDict["%d%s"%(lower, "_%d"%upper if upper else "")]
        Trigger = OP_MultiTrigger( triggerps.ps() )
        out.append(triggerps)
        out.append(Trigger)
        out.append(lowerCut)
        cutTree.TAttach(cut,Trigger)
        cutTree.TAttach(Trigger,lowerCut)
        if upper:
          upperCut =  eval("RECO_CommonHTLessThanCut(%d)"%upper)
          out.append(upperCut)
          cutTree.TAttach(lowerCut,upperCut)
        pOps = makePlotOp(cutTree = cutTree, OP = OP, cut = upperCut if upper else lowerCut, label = "%s%d%s"%(lab,lower, "_%d"%upper if upper else ""))
        out.append(pOps) 
  else:
      for lower,upper in zip(htBins,htBins[1:]+[None]):
        # print "Lower , Upper =", lower , upper
        if int(lower) == 325 and upper is None: continue
        if int(lower) == 375 and upper is None: continue
        if int(lower) == 475 and upper is None: continue
        if int(lower) == 675 and upper is None: continue
        # print "continue should have happened now"
        lowerCut = eval("RECO_CommonHTCut(%d)"%lower)
        out.append(lowerCut)
        cutTree.TAttach(cut,lowerCut)
        if upper:
          upperCut =  eval("RECO_CommonHTLessThanCut(%d)"%upper)
          out.append(upperCut)
          cutTree.TAttach(lowerCut,upperCut)
        pOps = makePlotOp(cutTree = cutTree, OP = OP, cut = upperCut if upper else lowerCut, label = "%s%d%s"%(lab,lower, "_%d"%upper if upper else "")) 
        out.append(pOps)
  return out
  pass
コード例 #7
0
def setup_light_tree(baton, main, data, dont_use_gen, trigger_info):
    import wpol.electron_id as electron_id
    import libAlex as alex
    tree_cfg = PSet(
		DoGen = not (data or dont_use_gen),
		TriggerInfo = trigger_info,
		ElectronCuts80 = electron_id.eff_80,
		ElectronCuts70 = electron_id.eff_70,
		ElectronCuts60 = electron_id.eff_60,
		Isolation = True,
		HoverE = True,
		DeltaEtaAtVtx = True,
		DeltaPhiAtVtx = True,
		SigmaIEtaIEta = True,
		Conversions = True,
		ConversionsExtra = True,
		SupressErrors = True
		)
    baton.tree2 = alex.AlexTree("light_tree_lt4jets", tree_cfg.ps())
    main.tree.TAttach(main.GetOp("lt4_jets"), baton.tree2)
    return baton
コード例 #8
0
def metScaleSystematic(a, shiftdir, lepton):
    """ Apply the pfmet scale systematic as a MET filter.
    a : analysis object
    shiftdir : True (False) for upwards (downwards) shift
    lepton : 'Muon' or 'Electron'
    """
    pfmet_jecunc = PSet(
        #the location of the JECUncertainty txt file
        jecuncfile = "GR_R_42_V19_AK5PF_Uncertainty.txt",
        jecuncfileresidual = "GR_R_42_V19_AK5PF_L2L3Residual.txt",
        #either Muon or Electron
        lepton = lepton,
        #the jet threshold to consider for the JEC Uncertainties
        pfjetthresh = 10.0,
        #the percentage/100 to shift the unclustered energy by
        unclusteredshift = 0.1,
        #whether or not to apply the shift upwards (True) or downwards (False)
        shiftup = shiftdir
        )
    pfmetjecunc = wpol.pfMETJECUnc(pfmet_jecunc.ps())
    a.AddMETFilter("pfMET", pfmetjecunc)
    return pfmetjecunc
コード例 #9
0
ファイル: HTTrunOns.py プロジェクト: brynmathias/AnalysisV2
evDump = EventDump()
# htTriggerEmu = OP_TriggerHT_Emu(250.,40.)
cutTreeData = Tree("Data")
out = []

skim_ps=PSet(
    SkimName = "myskim",
    DropBranches = False,
    Branches = [
        " keep * "
        ]
)

badEvents =runLumiCutter(PSet(Run= [166033,162811, 163233, 163374, 163589, 163759, 163817, 165121, 165364, 165415, 165467, 165472, 165506, 165567, 165570, 165993, 166034, 166049, 166380, 166514, 166565, 166701, 166842, 166864, 166960, 167102, 167282, 167284, 167675, 167807, 167830, 167830, 167898, 167913, 167913, 170876, 170876, 171050, 171050, 171156, 171178, 171178, 171369, 171484, 171484, 171578, 171578, 171812, 171876, 171897, 172033, 172791, 172791, 172799, 172802, 172822, 172822, 172868, 172868, 172949, 172952, 173198, 173241, 173241, 173243, 173380, 173389, 173439, 173657, 173657, 173692, 173692, 173692, 175975, 175990, 176023, 176023, 176201, 176286, 176286, 176304, 176309, 176309, 176547, 176548, 176701, 176702, 176765, 176771, 176771, 176771, 176795, 176796, 176796, 176799, 176844, 176886, 176928, 176933, 176982, 177053, 177074, 177096, 177183, 177183, 177201, 177201, 177222, 177730, 177782, 177782, 177782, 177788, 177875, 178098, 178420, 178421, 178421, 178479, 178479, 178703, 178786, 178786, 178803, 178803, 178920, 178970, 179411, 179411, 179411, 179411, 179434, 179497, 179547, 179889, 180072, 180072, 180076, 180076, 180241, 180241, 180241],Lumi =[0,4, 274, 671, 46, 182, 118, 242, 1132, 812, 113, 493, 57, 540, 696, 778, 203, 57, 637, 12, 12, 79, 7, 318, 60, 6, 38, 891, 517, 1406, 171, 458, 1334, 12, 14, 180, 415, 53, 92, 211, 149, 731, 61, 358, 79, 347, 696, 323, 382, 295, 256, 664, 67, 203, 304, 1922, 616, 1755, 553, 933, 680, 665, 16, 759, 13, 199, 283, 307, 68, 90, 2250, 89, 927, 179, 56, 60, 65, 135, 166, 62, 186, 484, 696, 28, 624, 8, 399, 110, 148, 64, 78, 42, 10, 45, 153, 61, 378, 7, 82, 4, 530, 488, 129, 9, 98, 258, 63, 59, 213, 160, 73, 79, 22, 148, 183, 53, 111, 230, 189, 68, 177, 194, 67, 152, 55, 207, 157, 10, 23, 6, 96, 83, 192, 233, 169, 61, 80, 201, 229, 129, 65, 99]).ps())

skim = SkimOp(skim_ps.ps())
# cutTreeData.Attach(json)
triggers = ["HLT_HT250_AlphaT0p55_v1","HLT_HT250_AlphaT0p55_v2","HLT_HT250_AlphaT0p53_v2","HLT_HT250_AlphaT0p53_v3","HLT_HT250_AlphaT0p53_v4","HLT_HT250_AlphaT0p53_v5","HLT_HT250_AlphaT0p53_v6","HLT_HT250_AlphaT0p55_v2","HLT_HT250_AlphaT0p58_v3","HLT_HT300_AlphaT0p52_v1","HLT_HT300_AlphaT0p52_v2","HLT_HT300_AlphaT0p52_v3","HLT_HT300_AlphaT0p52_v4","HLT_HT300_AlphaT0p52_v5","HLT_HT300_AlphaT0p53_v5","HLT_HT300_AlphaT0p53_v6","HLT_HT300_AlphaT0p53_v6","HLT_HT300_AlphaT0p54_v5","HLT_HT350_AlphaT0p51_v1","HLT_HT350_AlphaT0p51_v2","HLT_HT350_AlphaT0p51_v3","HLT_HT350_AlphaT0p51_v4","HLT_HT350_AlphaT0p51_v5","HLT_HT350_AlphaT0p52_v1","HLT_HT350_AlphaT0p52_v2","HLT_HT350_AlphaT0p52_v2","HLT_HT350_AlphaT0p53_v10","HLT_HT400_AlphaT0p51_v1","HLT_HT400_AlphaT0p51_v2","HLT_HT400_AlphaT0p51_v3","HLT_HT400_AlphaT0p51_v4","HLT_HT400_AlphaT0p51_v5","HLT_HT400_AlphaT0p51_v6","HLT_HT400_AlphaT0p51_v7","HLT_HT400_AlphaT0p51_v7","HLT_HT400_AlphaT0p51_v10"]
triggers = ["HLT_HT250_v5"]
CheckPreOverLapsOp = CheckPreOverLaps()
# for trig in triggers:
   # op = JSONOutput("%s"%(trig))
#   trigCut = CheckTrigExists( PSet(TrigExistsList = ["%s"%(trig)]).ps() )
   # trigCut = OP_MultiTrigger(  PSet(Verbose = True,UsePreScaledTriggers = True,Triggers = ["%s"%(trig)] ).ps() )
   # cutTreeData.TAttach(json,trigCut)
   # cutTreeData.TAttach(trigCut,skim)
#   cutTreeData.TAttach(trigCut,op)
#   out.append(trigCut)
#   out.append(op)
# cutTreeData.TAttach(json,badEvents)
# cutTreeData.FAttach(badEvents,json_lost)
コード例 #10
0
ファイル: myKinCorrZ.py プロジェクト: taroni/usercode
conf.Common.Jets.EtaCut = 5.0
conf.Common.Muons.EtaCut = 2.4
conf.Common.Muons.PtCut = 15.0
conf.Common.Muons.TrkIsoCut = -1.
conf.Common.Muons.CombIsoCut = 0.1
conf.Common.Electrons.PtCut = 15.0
conf.Common.Electrons.EtaCut = 2.4
conf.Common.Photons.EtCut = 30.
conf.Common.Electrons.ApplyID = False

# Create the analysis
a = Analysis("KinCorrection")

tree = Tree("Main")
Trigger = PSet(McAnal=False, MSugraScan=0., TriggerBits=PSet(bit1=""))
ssdlTrigg = SSDLTrigger("Trigger", Trigger.ps())

ZeroMuons = OP_NumComMuons("==", 0)

KinCorrParPlus = PSet(
    zMassMin=71.,
    zMassMax=111.,
    BarrelEtaMax=1.4442,
    EndCapEtaMin=1.56,
    EndCapEtaMax=2.5,
    MinElecRescaledPt=0.,
    c_ErNu_pt=0.,
    wID=+24.,  ##24 W+, -24 W-
    mW=80.398,
    mZ=90.188,
    ElecET=20.0,
コード例 #11
0
ファイル: AtTriggerGoldern3.py プロジェクト: CMSRA1/bryn
StandardPlots     = True,
)
pset5 = PSet(
DirName      = "AllCutsTriggerFail",
MinObjects   = 0,
MaxObjects   = 15,
StandardPlots     = True,
)
pset6 = PSet(
DirName      = "AllTriggerFail",
MinObjects   = 0,
MaxObjects   = 15,
StandardPlots     = True,
)

AllNoTrigger = WeeklyUpdatePlots(pset1.ps())
AllWithTrigger =WeeklyUpdatePlots(pset2.ps())
AllCutsNoTrigger = WeeklyUpdatePlots(pset3.ps())
AllCutsAfterTrigger =WeeklyUpdatePlots( pset4.ps() )
AllCutsTriggerFail = WeeklyUpdatePlots(pset5.ps())
AllTriggerFail = WeeklyUpdatePlots(pset6.ps())


alphaTnumbers150 =   TriggerEffPlots( PSet(DirName = "alphaTnumbers150",MinObjects =0 ,MaxObjects = 15,EffPlots = True).ps() )
alphaTnumbers200 =   TriggerEffPlots( PSet(DirName = "alphaTnumbers200",MinObjects =0 ,MaxObjects = 15,EffPlots = True).ps() )
alphaTnumbers250 =   TriggerEffPlots( PSet(DirName = "alphaTnumbers250",MinObjects =0 ,MaxObjects = 15,EffPlots = True).ps() )
alphaTnumbers300 =   TriggerEffPlots( PSet(DirName = "alphaTnumbers300",MinObjects =0 ,MaxObjects = 15,EffPlots = True).ps() )
alphaTnumbers350 =   TriggerEffPlots( PSet(DirName = "alphaTnumbers350",MinObjects =0 ,MaxObjects = 15,EffPlots = True).ps() )
alphaTnumbers400 =   TriggerEffPlots( PSet(DirName = "alphaTnumbers400",MinObjects =0 ,MaxObjects = 15,EffPlots = True).ps() )
alphaTnumbers450 =   TriggerEffPlots( PSet(DirName = "alphaTnumbers450",MinObjects =0 ,MaxObjects = 15,EffPlots = True).ps() )
alphaTnumbers500 =   TriggerEffPlots( PSet(DirName = "alphaTnumbers500",MinObjects =0 ,MaxObjects = 15,EffPlots = True).ps() )
コード例 #12
0
# -----------------------------------------------------------------------------
# User Variables

SelectedJetCuts = PSet(
  Et = 80.,
  DeltaR = 0.4 
)
SelectedPhotonCuts = PSet(
  Et = 80.,
  EtaEBMax = 1.4442,
  EtaEEMin = 1.56,
  EtaEEMax = 2.5,
  IDReq = 3
)
selected_jets = SelectedJets(SelectedJetCuts.ps())
selected_photons = SelectedPhotons(SelectedPhotonCuts.ps())

# -----------------------------------------------------------------------------
# Cut/Filter Operations

Trigger_PSet = PSet(
  Triggers = [ 
    "HLT_Photon70_CaloIdL_HT300_v1",
    "HLT_Photon70_CaloIdL_HT300_v2",
    "HLT_Photon70_CaloIdL_HT300_v3",
    "HLT_Photon70_CaloIdL_HT350_v3",
    "HLT_Photon70_CaloIdL_HT350_v4",
    "HLT_Photon70_CaloIdL_HT350_v5",
    "HLT_Photon70_CaloIdL_HT350_v6",
    "HLT_Photon70_CaloIdL_HT350_v7"
コード例 #13
0
ファイル: met_cfg.py プロジェクト: CMSRA1/bryn
DalitzMT2    = False,
Development  = True,
)

pset2 = PSet(
DirName      = "MET Plots N>2",
MinObjects   = 2,
MaxObjects   = 10,
Mt2DiJet     = False,
Mt2Multi_Jet = False,
Mt2Compare   = False,
MHT          = False,
DalitzMT2    = False,
Development  = True,
)
PlotsMetG3 = BrynPlottingOps( pset2.ps() )
PlotsMetEq2 = BrynPlottingOps( pset1.ps() )

hadset = PSet(
DirName    = "Hadronic",
MinObjects = 2,
MaxObjects = 10,
Verbose    = False,
Summary    = False,
CC         = False,
Dalitz     = False,
AlphaT     = False,
PtHat      = False,
MET        = False,
Kine       = False,
Response   = False,
コード例 #14
0
    TauSource=conf.Ntuple.Taus.Prefix,
    tauIDbyIso = IsoTightTau,
#     tauIDbyDecay = True,
     AgainstElectron = True,
     AgainstMuon = True
)


ele_id = PSet(
    Cuts = lepconf.ele_ptThres_vbtf80,
)

muon_id = PSet(#we're missing the ecalvetoDep and hcalvetoDep in the ntuples (for MIP requirement) - AGB 22/10/10
   Cuts = lepconf.muonCuts,
)
elecSelFilter=CustomEleId(ele_id.ps())
muonSelFilter=CustomMuonId(muon_id.ps())
tauSelFilter=CustomTauId(tau_id.ps())

muelfilter=MuonElectronDrFilter(0.1)
eletaufilter=ElectronTauDrFilter(0.1)
mutaufilter=MuonTauDrFilter(0.1)

elejetfilter=ElectronJetDrFilter(0.4)
muonjetfilter=MuonJetDrFilter(0.4)
taujetfilter=TauJetDrFilter(0.1)



# Create the analysis
a=Analysis("TauFR")
コード例 #15
0
ファイル: scaling_cfg.py プロジェクト: bainbrid/usercode
numComPhotons = OP_NumComPhotons("<=",0)

# -----------------------------------------------------------------------------
# Test module

from allhadronic.algorithms_cfi import *


ps = PSet(
    Verbose = False,
    AlphaT = [0.55],
    DirName = "Test",
    nMax = 6,
    Algorithms = AlgorithmsPSet,
    )
test = Scaling(ps.ps())

# -----------------------------------------------------------------------------
# Cut flow

cut_flow = Tree("MC")
cut_flow.Attach(selection)
cut_flow.TAttach(selection,numComPhotons)
cut_flow.TAttach(numComPhotons,oddPhoton)
cut_flow.TAttach(oddPhoton,numComElectrons)
cut_flow.TAttach(numComElectrons,oddElectron)
cut_flow.TAttach(oddElectron,numComMuons)
cut_flow.TAttach(numComMuons,oddMuon)
cut_flow.TAttach(oddMuon,test)

# -----------------------------------------------------------------------------
コード例 #16
0
ファイル: TriggerTurnOns.py プロジェクト: bainbrid/usercode
                         "HLT_HT250_v3",
                         "HLT_HT250_v4",
                         "HLT_HT250_v5",
                         "HLT_HT250_v6",
                     ])

Cross_Trigger_PS = PSet(Verbose=False,
                        Triggers=[
                            "HLT_HT250_AlphaT0p53_v1",
                            "HLT_HT250_AlphaT0p53_v2",
                            "HLT_HT250_AlphaT0p53_v3",
                            "HLT_HT250_AlphaT0p53_v4",
                            "HLT_HT250_AlphaT0p53_v5",
                        ])

HT_Trigger_Filter = OP_MultiTrigger(HT_Trigger_PS.ps())
Cross_Trigger_Filter = OP_MultiTrigger(Cross_Trigger_PS.ps())

#Standard Event Selection
LeadingJetEta = OP_FirstJetEta(2.5)
unCorLeadJetCut = OP_UnCorLeadJetCut(0.)
LeadingJetCut = OP_FirstJetPtCut(10.)
oddMuon = OP_OddMuon()
oddElectron = OP_OddElectron()
oddPhoton = OP_OddPhoton()
oddJet = OP_OddJet()
secondJetET = OP_SecondJetEtCut(100.)
badMuonInJet = OP_BadMuonInJet()
numComLeptons = OP_NumComLeptons("<=", 0)
numComPhotons = OP_NumComPhotons("<=", 0)
コード例 #17
0
    PSet(
        DirName="Dalitz_350",
        MinObjects=2,
        MaxObjects=10,
        Verbose=False,
        Summary=False,
        CC=False,
        Dalitz=True,
        AlphaT=False,
        PtHat=False,
        MET=False,
        Kine=False,
        Response=False,
    ).ps())

HadStandard250_350 = WeeklyUpdatePlots(pset1.ps())
HadStandard300 = WeeklyUpdatePlots(pset2.ps())
HadStandard350 = WeeklyUpdatePlots(pset3.ps())
HadStandard350_after_DeadEcal = WeeklyUpdatePlots(pset5.ps())
HadStandardAll = WeeklyUpdatePlots(pset4.ps())
nHadStandard250_350 = WeeklyUpdatePlots(Npset1.ps())
nHadStandard300 = WeeklyUpdatePlots(Npset2.ps())
nHadStandard350 = WeeklyUpdatePlots(Npset3.ps())
nHadStandardAll = WeeklyUpdatePlots(Npset4.ps())
nHadStandard350_after_DeadEcal = WeeklyUpdatePlots(Npset5.ps())
# Common cut definitions
#Avaiable criteria for MC and for Data are at current slightly different Hence the making of two trees
#DataOnly!

from icf.JetCorrections import *
corPset = CorrectionPset("ResidualJetEnergyCorrections.txt")
コード例 #18
0
# PlotsCommonBasic

pset1 = PSet(
    DirName="MT2",
    MinObjects=2,
    MaxObjects=10,
    Mt2DiJet=False,
    Mt2Multi_Jet=False,
    Mt2Compare=False,
    MHT=False,
    DalitzMT2=False,
    Development=False,
    TriggerStudies=True,
)

TriggerPlots = BrynPlottingOps(pset1.ps())

# -----------------------------------------------------------------------------
# Cut flow
#Cut flow for Data

cutTreeData = Tree("Data")
cutTreeData.Attach(NoiseFilt)
cutTreeData.TAttach(NoiseFilt, selection)
cutTreeData.TAttach(selection, HTCut)
cutTreeData.TAttach(HTCut, TriggerPlots)


def addCutMCFlow(a):
    a += cutTreeMC
コード例 #19
0
ファイル: trigger_cfg.py プロジェクト: bainbrid/usercode
# -----------------------------------------------------------------------------
# Test module

from allhadronic.algorithms_cfi import *

ps = PSet(
    Verbose=False,
    DirName="Triggers",
    nMin=2,
    nMax=4,
    Algorithms=AlgorithmsPSet,
    Filters=["HLT_HT???_v*", "HLT_HT???_MHT??_v*", "HLT_HT???_AlphaT*_v*"],
    Versus=2,
)
test = Trigger(ps.ps())

# -----------------------------------------------------------------------------
# Cut flow

#JsonFileOption = "/allhadronic/python/Cert_160404-166861_7TeV_PromptReco_Collisions11_JSON.txt"
#JsonFileOption = "/allhadronic/python/Cert_160404-166502_7TeV_PromptReco_Collisions11_JSON.txt"
JsonFileOption = "/allhadronic/python/Cert_160404-167151_7TeV_PromptReco_Collisions11_JSON.txt"

json = JSONFilter("JSON", json_to_pset(pwd + JsonFileOption))
json_output = JSONOutput("_filtered")

cut_flow = Tree("CutFlow")
cut_flow.Attach(json)
cut_flow.TAttach(json, json_output)
cut_flow.TAttach(json_output, selection)
コード例 #20
0
pseta = PSet(
DirName      = "FirTrig",
MinObjects   = 0,
MaxObjects   = 15,
StandardPlots     = True,
)

psetb = PSet(
DirName      = "SecTrig",
MinObjects   = 0,
MaxObjects   = 15,
StandardPlots     = True,
)

TriggerOnePlots = WeeklyUpdatePlots(pseta.ps())
TriggerTwoPlots = WeeklyUpdatePlots(psetb.ps())

StandardPlots = WeeklyUpdatePlots(pset2.ps())

        # "HLT_HT360_v2",
        # "HLT_HT350_v2",
        # "HLT_HT350_v3",
        # "HLT_HT350_v2",
        # "HLT_HT350_v1",
        # "HLT_HT260_v2",
        # "HLT_HT240_v2",
        # "HLT_HT160_v2",
        # "HLT_HT250_MHT60_v2",
        # "HLT_HT200_AlphaT0p60_v1",
コード例 #21
0
plots_objkin = OP_ObjKinPlots("ObjectKinePlots",100,6)
plots_common = OP_CommonPlots("CommonPlots")
plots_kinsuite = OP_KinSuiteComPlot("KinSuitePlots",6,2)

pset1 = PSet(
DirName      = "MT2",
MinObjects   = 2,
MaxObjects   = 10,
Mt2DiJet     = False,#MT2 plots of Dijet system NOT USED HERE
Mt2Multi_Jet = False,#As above for multiJet
Mt2Compare   = False,#Compares the above methods
MHT          = True, #Plots MHT Variables
DalitzMT2    = False, # A testing/idea for putting MT2 in with Dalitz plots, also False
Development  = True, #Development area, here is where the JetMET PAS plots have been developed, Needs tidying, will be put in to a File of its own, for the moment everything you want will be in here
)
plots_mt2 = BrynPlottingOps( pset1.ps() )


hadset = PSet(
DirName    = "Hadronic",
MinObjects = 2,
MaxObjects = 10,
Verbose    = False,
Summary    = False,
CC         = False,
Dalitz     = False,
AlphaT     = True, #Robs alphaT plots.
PtHat      = False,
MET        = False,
Kine       = False,
Response   = False,
コード例 #22
0
ZeroPhotons = OP_NumComPhotons("<=", 0)
OddPhot = OP_OddPhoton()
GE2Jets = OP_NumComJets(">=", 2)
OddJet = OP_OddJet()
badMuonINJet = OP_BadMuonInJet()
secondJetET = OP_SecondJetEtCut(30.)

HTlep200 = RECO_LeptonicHTCut(200.)
HTlep300 = RECO_LeptonicHTCut(300.)
HTlep350 = RECO_LeptonicHTCut(350.)
LepAlphaTCut = OP_LeptonicAlphaTCut(0.53)
ed_all = OP_EventDisplay("ED_All", "all") #to draw all objects
ed_com = OP_EventDisplay("ED_Com", "common") #to draw all objects


eletree = AnalysisTree("eletree",tree_ele.ps())
mutree = AnalysisTree("mutree",tree_mu.ps())
mutree_iso = AnalysisTree("mutree_iso",tree_mu.ps())

tree = Tree("Main")
# Main trunk of tree
tree.Attach(MuonTreeReq)
tree.TAttach(MuonTreeReq,mutree_iso)
tree.TAttach(mutree_iso,OneMuon)
tree.TAttach(OneMuon,MaxPtCut)
tree.TAttach(MaxPtCut,HTlep200)
tree.TAttach(HTlep200,LepAlphaTCut)
tree.TAttach(LepAlphaTCut,ed_all)
tree.TAttach(ed_all,ed_com)

PF_MU_ID = PFMuId(pf_mu_id.ps())
コード例 #23
0
OddMu = OP_OddMuon()
MuJetVeto = OP_MuJetVeto(0.3)
ZeroPhotons = OP_NumComPhotons("<=", 0)
OddPhot = OP_OddPhoton()
GE2Jets = OP_NumComJets(">=", 2)
OddJet = OP_OddJet()
badMuonINJet = OP_BadMuonInJet()
secondJetET = OP_SecondJetEtCut(30.)

HTlep200 = RECO_LeptonicHTCut(200.)
HTlep300 = RECO_LeptonicHTCut(300.)
HTlep350 = RECO_LeptonicHTCut(350.)
LepAlphaTCut = OP_LeptonicAlphaTCut(0.55)


eletree = AnalysisTree("eletree",tree_ele.ps())
mutree = AnalysisTree("mutree",tree_mu.ps())

#blah = Tree("Main")
#blah.Attach(eletree)

tree = Tree("Main")
# Main trunk of tree
tree.Attach(EleTreeReq)
tree.TAttach(EleTreeReq,eletree)


customMuID = CustomVBTFMuID(mu_id.ps())
#customMuID=CustomMuId(0.2, 11, 10) 
eleS=CustomEleId(sig_id.ps())
eleB=CustomEleId(bg_id.ps())
コード例 #24
0
ファイル: Run.py プロジェクト: mengzx/CMS-SUSY-2012
default_common.Photons.UseID = True
# the photon cuts are NOT read anyway
# default_common.Photons.TrkIsoRel=0.
# default_common.Photons.TrkIsoCut=99999.
# default_common.Photons.EcalIsoRel=0.
# default_common.Photons.EcalIsoCut=99999.
# default_common.Photons.HcalIsoRel=0.
# default_common.Photons.HcalIsoCut=99999.
# default_common.Photons.HadOverEmCut=0.5
# default_common.Photons.SigmaIetaIetaCut=0.5
##default_common.Photons.CaloIsoCut=99999.
default_common.Photons.IDReq = 3
default_common.Photons.RequireLooseForOdd = True

skim_ps = PSet(SkimName="myskim", DropBranches=False, Branches=[" keep * "])
skim = SkimOp(skim_ps.ps())

#Plot the common plots!

genericPSet = PSet(
    DirName="275_325Gev",
    MinObjects=1,
    MaxObjects=15,
    StandardPlots=True,
    minDR=0.4,
    mCut=2.0,
)


def makePlotOp(OP=(), cutTree=None, cut=None, label=""):
    """docstring for makePlotOp"""
コード例 #25
0
    Verbose = False,
    UsePreScaledTriggers = False,
        Triggers = [
      "HLT_HT250_AlphaT0p55_v1",
      "HLT_HT250_AlphaT0p55_v2",
      "HLT_HT250_AlphaT0p53_v2",
      "HLT_HT250_AlphaT0p53_v3",
      "HLT_HT250_AlphaT0p53_v4",
      "HLT_HT250_AlphaT0p53_v5",
      "HLT_HT250_AlphaT0p55_v2",
      "HLT_HT250_AlphaT0p58_v3",
      "HLT_HT250_AlphaT0p60_v3",
    ]
    )

MuTrigger = OP_MultiTrigger(mutriggerps.ps())
#===========================================
#============ Plotting Ops =======================

generic_pset =  PSet(
DirName = "MuonAnalysis",
FolderName = "Muon275"
)

skim_ps=PSet(
    SkimName = "myskim",
    DropBranches = False,
    Branches = [
        " keep * "
        ]
)
コード例 #26
0
# default_common.Photons.HadOverEmCut=0.5
# default_common.Photons.SigmaIetaIetaCut=0.5
##default_common.Photons.CaloIsoCut=99999.
default_common.Photons.IDReq = 3
default_common.Photons.RequireLooseForOdd = True

Events = PSet(
Run =[160939,160955,160957,160957,162811,162811,162909,162909,163046,163069,163069,163069,163071,163071,163071,163078,163078,163235,163235,163235,163235,163235,163235,163235,163255,163255,163255,163255,163255,163261,163261,163270,163270,163270,163270,163270,163270,163270,163270,163270,163270,163270,163270,163270,163270,163270,163270,163270,163286,163286,163286,163286,163286,163296,163296,163296,163296,163297,163297,163297,163300,163300,163300,163300,163300,163300,163300,163301,163301,163302,163302,163302,163302,163302,163302,163332,163332,163332,163332,163332,163332,163333,163334,163334,163334,163334,163334,163337,163337,163337,163337,163337,163337,163338,163338,163339,163339,163339,163340,163340,163340,163340,163340,163369,163370,163370,163371,163371,163371,163374,163374,163374,163374,163374,163374,163374,163376,163376,163376,163376,163378,163378,163378,163378,163378,163385,163385,163385,163387,163402,163402,163402,163402,163402,163402,163402,163402,163402,163475,163475,163475,163475,163475,163476,163476,163476,163479,163480,163482,163483,163583,163583,163583,163583,163586,163586,163588,163588,163588,163588,163588,163589,163589,163630,163657,163657,163659,163659,163659,163659,163659,163659,163659,163659,163659,163659,163659,163659,163659,163659,163659,163660,163660,163660,163661,163662,163662,163662,163664,163668,163668,163738,163738,163738,163738,163738,163738,163738,163758,163758,163758,163758,163758,163758,163758,163758,163758,163759,163759,163759,163759,163759,163760,163760,163760,163760,163760,163760,163760,163765,163765,163765,163765,163765,163795,163796,163796,163796,163796,163796,163796,163796,163817,163817,163817,163817,163817,163817,163817,163817,163817,163817,163817,163817,163817,163817,163817,163817,163817,163817,163817,165121,165121,165121,165121,165205,165208,165364,165364,165364,165364,165364,165364,165364,165364,165364,165364,165364,165364,165364,165364,165364,165364,165364,165364,165364,165364,165415,165415,165415,165415,165415,165415,165415,165415,165415,165415,165415,165415,165415,165415,165415,165415,165415,165415,165415,165415,165415,165415,165472,165472,165472,165472,165472,165472,165472,165472,165472,165472,165472,165472,165472,165472,165472,165472,165472,165486,165486,165487,165487,165487,165506,165506,165506],
Event = [24371951,18576870,96165671,491483557,91390314,125176731,48370161,65400245,119647477,107661306,265156983,25893970,56961763,38156147,48877189,6833339,4081021,63316951,17965714,183490182,220791530,228514066,28444848,33069964,95426489,101980751,239615748,304219363,400003395,55925035,60979586,133314497,200334760,205668936,215533223,255230619,259924803,282983988,293475492,305561898,342468785,348206909,394556047,399317868,418689254,50813748,489282865,505027103,93884489,97510916,108246660,161606268,162614748,104675948,189901294,333605114,52156625,22763918,56652154,4444230,57368030,5816503,107025374,138670755,191089040,219614010,228555655,5145145,86299370,89814612,92689113,15820394,18004679,22955850,48048119,182796843,229951639,290060361,310517723,334605324,453062228,21712494,116524826,169694364,182712860,263747194,269344428,61667010,73042788,111402754,130881024,146874823,4176096,19533169,41835038,4872222,76822473,40515999,4830513,60877125,16850617,200637251,29279251,7404160,89986633,48665006,161654590,166663172,52981357,67156409,177230370,242487385,349063851,375785727,378073345,381604121,80716296,23190414,35431342,35528644,56199361,58499014,126757726,166770991,1982546,136454635,213152538,41600744,25617613,65139186,113404298,186042589,294089105,348935564,359026121,402589263,35624459,479976713,83234226,88598161,150131089,193319870,44318680,110347959,3117371,57278411,4598210,5754166,4079087,9585045,126856305,165960555,21695548,41160080,10841564,36030982,137621860,162720793,168860940,185812235,293183271,55453063,63115578,76189444,12455810,5071047,99822371,104684639,110712786,185591256,194466360,218809820,24621131,256469811,27226115,300049345,375437326,380594303,399218272,419304899,496208715,20153888,2783995,40921027,693507,94830533,23177966,23950430,25050536,130748015,58368335,130926468,153349232,166379378,169183638,193537170,196931479,239901350,78306525,178588224,211524839,287243682,299874427,341969813,350570830,45063091,3354782,80917464,196972726,200893656,22548957,338699964,84895772,115506843,120288802,152683630,212944349,226711544,22637838,68673211,70541404,108574122,155024796,57070932,29194371,109508279,135236412,24000133,49641227,83624625,89854453,95897622,149299205,198315854,247061851,373312579,378084407,384623891,407058296,545248000,581734803,584317893,613490574,630579795,690340277,710876840,717817666,732789398,808113892,809391070,828622801,49191435,55002119,134938767,37485490,185695388,72542883,1184627074,1267860435,1358273514,1399958437,141284880,1477949824,1479075041,254428559,264185506,316591001,337725233,429993340,481026985,482153614,534253611,556171955,574817001,590583843,668793760,883140204,1291332300,1359273031,1410268779,113344188,1478044894,1485684156,1524657887,1573260343,251863772,450088973,479919143,504597781,516397079,542615397,556750519,667312880,708714244,751700331,39733972,774182048,816637188,955264961,133535097,173155335,14317087,18452039,305570274,436376807,468095459,483547880,717190088,841400997,879953987,885582991,897382077,902404476,941883006,957284610,98658826,35727889,79831820,136064858,76243949,77753094,141915838,146615579,50098607],
Lumi = [47,57,181,915,201,277,105,130,202,220,481,93,104,70,90,14,9,122,35,363,441,457,55,64,136,146,355,457,613,104,113,212,321,329,346,414,422,461,483,503,567,577,660,668,705,80,836,865,245,252,274,388,390,174,303,532,99,40,97,9,105,12,197,257,357,413,431,11,165,178,184,32,36,46,95,276,342,428,457,493,673,36,198,292,315,458,468,116,138,211,248,279,9,41,86,11,147,78,11,120,34,402,58,12,135,73,275,284,84,123,330,458,675,726,730,737,164,48,73,73,119,124,270,358,5,236,365,85,47,107,176,283,449,537,553,625,65,756,124,131,213,272,73,160,6,82,8,10,8,18,165,217,29,53,16,50,201,238,247,273,437,81,91,154,16,8,128,135,142,242,254,286,32,338,35,400,512,519,546,576,693,32,5,64,2,125,31,32,39,209,92,159,186,202,206,236,240,294,104,240,285,403,421,483,495,61,6,123,285,290,35,476,121,167,174,221,309,330,33,112,115,177,255,94,32,113,140,25,51,86,93,99,168,216,264,392,397,404,427,584,624,627,658,677,744,772,780,797,883,885,907,128,143,351,97,213,82,1007,1088,1169,1202,121,1267,1268,206,213,254,270,344,385,386,428,446,461,474,540,725,1094,1149,1191,119,1247,1253,1286,1328,224,384,409,430,439,462,474,568,604,644,64,664,702,832,115,149,14,18,268,386,416,430,620,717,747,752,761,765,797,809,85,41,73,106,61,62,150,153,78]
)




evFilter = OP_RunLumiEvSelector(Events.ps())


# -----------------------------------------------------------------------------
skim_ps=PSet(
    SkimName = "myskim",
    DropBranches = False,
    Branches = [
        " keep * "
        ]
)
skim = SkimOp(skim_ps.ps())


#Plot the common plots!
コード例 #27
0
ファイル: scaling_cfg.py プロジェクト: bainbrid/usercode
numComMuons = OP_NumComMuons("<=", 0)
numComPhotons = OP_NumComPhotons("<=", 0)

# -----------------------------------------------------------------------------
# Test module

from allhadronic.algorithms_cfi import *

ps = PSet(
    Verbose=False,
    AlphaT=[0.55],
    DirName="Test",
    nMax=6,
    Algorithms=AlgorithmsPSet,
)
test = Scaling(ps.ps())

# -----------------------------------------------------------------------------
# Cut flow

cut_flow = Tree("MC")
cut_flow.Attach(selection)
cut_flow.TAttach(selection, numComPhotons)
cut_flow.TAttach(numComPhotons, oddPhoton)
cut_flow.TAttach(oddPhoton, numComElectrons)
cut_flow.TAttach(numComElectrons, oddElectron)
cut_flow.TAttach(oddElectron, numComMuons)
cut_flow.TAttach(numComMuons, oddMuon)
cut_flow.TAttach(oddMuon, test)

# -----------------------------------------------------------------------------
コード例 #28
0
class eWPol:
    def __init__(self,
                 data,
                 loose_id,
                 tight_id,
                 trigger_bits = (
                     "HLT_Ele10_LW_L1R", # run < 140041
                     "HLT_Ele15_SW_L1R", # run <= 143962
                     "HLT_Ele15_SW_CaloEleId_L1R", # run <= 146427
                     "HLT_Ele17_SW_CaloEleId_L1R", # run <= 147116
                     "HLT_Ele17_SW_TightEleId_L1R", # run <= 148818
                     "HLT_Ele22_SW_TighterEleId_L1R_v2", # run <= 149180
                     "HLT_Ele22_SW_TighterEleId_L1R_v3" # run >= 149181
                     ),
                 pf_mht = True,
                 mht_cuts = [50, 75, 100 ],
                 met_cuts = [10, 20, 30, 40],
                 mt_cuts = [30, 50, 70],
                 lepton_type = "Electron",
                 ele_jet_dr = 0.3,
                 lep_ptcut = 25.,
                 name = "eWPol",
		 ignore_gen = False,
                 event_no_dump = True
                 ):
        self.name = name
        self.jet_dr = wpol.EleJetDRFilter(ele_jet_dr)
        self.loose_ele_id = wpol.CustomEleId(loose_id.ps())
        self.tight_ele_id = wpol.CustomEleId(tight_id.ps())
        self.lep_pt_cut = lep_ptcut
        self.pol_plots_cfg = PSet(
            DoGen = not (data or ignore_gen),
            LeptonType = lepton_type,
            METThreshold = 40.,
            NLeptons = 1
            )
        self.ops = []
        # Basic event selection
        triggers = PSet(Triggers=trigger_bits)
        self.ops.append(("basic_plots_pretrig",
                         wpol.eWPolBasicPlots("eWPolBasicPlots_PreTrigger",
                                              self.pol_plots_cfg.ps())))
        self.ops.append(("trigger", fwk.OP_MultiTrigger(
            triggers.ps()
            )))
        self.ops.append(("basic_plots_posttrig",
                         wpol.eWPolBasicPlots("eWPolBasicPlots_PostTrigger",
                                              self.pol_plots_cfg.ps())))
        self.ops.append(("good_events", fwk.OP_GoodEventSelection()))
        # Basic object cuts
        self.ops.append(("datamc_one_ele", wpol.DataMCPlots("RECO_DataMCPlots_OneEle")))
        self.ops.append(("one_ele", fwk.OP_NumComElectrons("==", 1)))
        self.ops.append(("basic_plots_gteqoneele",
                         wpol.eWPolBasicPlots("eWPolBasicPlots_GTEQOneEle",
                                              self.pol_plots_cfg.ps())))
        self.ops.append(("good_ele", wpol.ApplyLeptonCut(lepton_type,
                                            lep_ptcut,
                                            self.tight_ele_id,
                                            1,
                                            True)))
        self.ops.append(("datamc_one_wp70_ele", wpol.DataMCPlots("RECO_DataMCPlots_OneWP70Ele")))
        self.ops.append(("three_charge", wpol.ChargeAgreement()))
        self.ops.append(("basic_plots_oneele",
                         wpol.eWPolBasicPlots("eWPolBasicPlots_OneEle",
                                              self.pol_plots_cfg.ps())))
        # self.ops.append(("z_mass", wpol.MassWindowCut(lepton_type,
        #                                     PSet( MassLower = 76.,
        #                                           MassUpper = 106.,
        #                                           MatchCharge = True,
        #                                           NetCharge = 0).ps() )))
        self.ops.append(("zero_mu", fwk.OP_NumComMuons("==", 0)))
        self.ops.append(("lt4_jets", fwk.OP_NumComJets("<", 4)))
        self.ops.append(("pol_plots_premht", wpol.RECO_ElPolPlots(
            "RECO_ElPolPlots_PreMHT",
            self.pol_plots_cfg.ps())))

# Pre MHT Cut

        self.ops.append(("basic_plots_premht",
                         wpol.eWPolBasicPlots("eWPolBasicPlots_PreMHT",
                                              self.pol_plots_cfg.ps())))

        # self.ops.append(("datamc_plots_premht", wpol.DataMCPlots(
        #     "RECO_DataMCPlots_PreMHT2")))

        # MHT Cuts and plots
        self.mht_cuts = {}
        self.pol_plots = {}
        self.datamc_plots = {}
        for mht in mht_cuts:
            if pf_mht:
                self.mht_cuts[mht] = wpol.OP_PFMHTCut(mht)
            else:
                self.mht_cuts[mht] = fwk.RECO_CommonMHTCut(mht)
            self.pol_plots["mht%d" % mht] = wpol.RECO_ElPolPlots(
                "RECO_ElPolPlots_PostMHT%d" % mht,
                self.pol_plots_cfg.ps())
            self.datamc_plots["mht%d" % mht] = wpol.DataMCPlots(
                "RECO_DataMCPlots_PostMHT%d" % mht)

        # MET Cuts and plots

        self.met_cuts = {}
        for mht in mht_cuts:
            for met in met_cuts:
                self.met_cuts[(mht, met)] = fwk.OP_PFMETCut(met)
                self.pol_plots["mht%d_met%d" % (mht, met)] = wpol.RECO_ElPolPlots(
                    "RECO_ElPolPlots_PostMHT%dMET%d" % (mht, met),
                    self.pol_plots_cfg.ps())

        # MT Cuts and plots
        self.mt_cuts = {}
        for mht in mht_cuts:
            for mt in mt_cuts:
                self.mt_cuts[(mht, mt)] = wpol.ePFMTCut(lepton_type, mt)
                self.pol_plots["mht%d_mt%d" % (mht, mt)] = wpol.RECO_ElPolPlots(
                    "RECO_ElPolPlots_PostMHT%dMT%d" % (mht, mt),
                    self.pol_plots_cfg.ps())
		self.datamc_plots["mht%d_mt%d" % (mht, mt)] = wpol.DataMCPlots(
		    "RECO_DataMCPlots_PostMHT%dMT%d" % (mht, mt))
        self.cuts = {}
        self.tree = fwk.Tree(self.name)
        if event_no_dump:
            self.event_no_dump = wpol.EventNoDump("EventNoDump_MT50", "event_no")

    def buildTree(self,
                  basic_plots=True,
                  pol_plots=True,
                  vetos = [],
                  tree = None,
                  root_op = None):
        if tree is None:
            tree = self.tree

        veto_list = vetos
        if not basic_plots:
            veto_list.append("basic_plots")
        if not pol_plots:
            veto_list.append("pol_plots")
        ops_ = []
        for name, op in self.ops:
            veto = False
            print name
            for v in vetos:
                if name.startswith(v):
                    print "Removing operation '%s' from tree" % name
                    veto = True
            if not veto:
                ops_.append((name, op))
        if root_op is None:
            tree.Attach(ops_[0][1])
        else:
            tree.TAttach(root_op, ops_[0][1])

        idx = 1
        for name, op in ops_[1:]:
            tree.TAttach(ops_[idx-1][1], op)
            idx += 1
        for mht, mht_op in self.mht_cuts.iteritems():
             tree.TAttach(ops_[idx-1][1], mht_op)
             if pol_plots:
                 tree.TAttach(mht_op, self.pol_plots["mht%d" % mht])
                 tree.TAttach(mht_op, self.datamc_plots["mht%d" % mht])
        for (mht, met), met_op in self.met_cuts.iteritems():
             tree.TAttach(self.mht_cuts[mht], met_op)
             if pol_plots:
                 tree.TAttach(met_op, self.pol_plots["mht%d_met%d" % (mht, met)])
        for(mht, mt), mt_op in self.mt_cuts.iteritems():
             tree.TAttach(self.mht_cuts[mht], mt_op)
             if pol_plots:
                 tree.TAttach(mt_op, self.pol_plots["mht%d_mt%d" % (mht, mt)])
                 tree.TAttach(mt_op, self.datamc_plots["mht%d_mt%d" % (mht, mt)])
	     # Fringe hack
             if mht == 50 and self.event_no_dump is not None:
	         tree.TAttach(mt_op, self.event_no_dump)

    def installFilters(self, a):
        a.AddElectronFilter("PostCC", self.loose_ele_id)
        a.AddJetFilter("PostCC", self.jet_dr)

    def GetOp(self, name):
        for n, o in self.ops:
            if n == name:
                return o
        return None
コード例 #29
0
ファイル: validation_cfg.py プロジェクト: bainbrid/usercode
numComPhotons = OP_NumComPhotons("<=", 0)

# -----------------------------------------------------------------------------
# Test module

from allhadronic.algorithms_cfi import *

ps = PSet(
    Verbose=False,
    AlphaT=[0.55],
    DirName="QcdBkgdEst",
    nMin=2,
    nMax=10,
    Algorithms=AlgorithmsPSet,
)
test = Validation(ps.ps())

# -----------------------------------------------------------------------------
# Cut flow

cut_flow = Tree("CutFlow")
cut_flow.Attach(selection)
if (True):  # Data only
    cut_flow.TAttach(selection, NoiseFilt)
    cut_flow.TAttach(NoiseFilt, numComPhotons)
else:
    cut_flow.TAttach(selection, numComPhotons)
cut_flow.TAttach(numComPhotons, oddPhoton)
cut_flow.TAttach(oddPhoton, numComElectrons)
cut_flow.TAttach(numComElectrons, oddElectron)
cut_flow.TAttach(oddElectron, numComMuons)
コード例 #30
0
ファイル: plottingStuff_cfg.py プロジェクト: CMSRA1/bryn
mSuGraScanPlots_before_250_pset = PSet(DirectoryName = "mSuGraScan_before_250")
mSuGraScanPlots_before_350_pset = PSet(DirectoryName = "mSuGraScan_before_350")

mSuGraScanPlots_150_pset = PSet(DirectoryName = "mSuGraScan_150")
mSuGraScanPlots_250_pset = PSet(DirectoryName = "mSuGraScan_250")
mSuGraScanPlots_350_pset = PSet(DirectoryName = "mSuGraScan_350")

#Bkgd Estimation Plots

TanjaBkgdEstPlots_g1jets = PSet(DirectoryName = "BkgdEstPlots_g1jets",
                         MinObjects=2,
                         MaxObjects=9,
                         m0_felder=0,
                         m12_felder=0
                         )
plots_bkgdEstPlots_g1jets = OP_BkgdEstPlottingOps( TanjaBkgdEstPlots_g1jets.ps() )

TanjaBkgdEstPlots_2jets = PSet(DirectoryName = "BkgdEstPlots_2jets",
                         MinObjects=2,
                         MaxObjects=2,
                         m0_felder=0,
                         m12_felder=0
                         )
plots_bkgdEstPlots_2jets = OP_BkgdEstPlottingOps( TanjaBkgdEstPlots_2jets.ps() )

TanjaBkgdEstPlots_g2jets = PSet(DirectoryName = "BkgdEstPlots_g2jets",
                         MinObjects=3,
                         MaxObjects=7,
                         m0_felder=0,
                         m12_felder=0 
                         )
コード例 #31
0
    StandardPlots=True,
)
pset5 = PSet(
    DirName="AllCutsTriggerFail",
    MinObjects=0,
    MaxObjects=15,
    StandardPlots=True,
)
pset6 = PSet(
    DirName="AllTriggerFail",
    MinObjects=0,
    MaxObjects=15,
    StandardPlots=True,
)

AllNoTrigger = WeeklyUpdatePlots(pset1.ps())
AllWithTrigger = WeeklyUpdatePlots(pset2.ps())
AllCutsNoTrigger = WeeklyUpdatePlots(pset3.ps())
AllCutsAfterTrigger = WeeklyUpdatePlots(pset4.ps())
AllCutsTriggerFail = WeeklyUpdatePlots(pset5.ps())
AllTriggerFail = WeeklyUpdatePlots(pset6.ps())

alphaTnumbers150 = TriggerEffPlots(
    PSet(DirName="alphaTnumbers150",
         MinObjects=0,
         MaxObjects=15,
         EffPlots=True).ps())
alphaTnumbers200 = TriggerEffPlots(
    PSet(DirName="alphaTnumbers200",
         MinObjects=0,
         MaxObjects=15,
コード例 #32
0
badMuonInJet = OP_BadMuonInJet()
photonKilledJet = OP_PhotonKilledJet()
secondJetET = OP_SecondJetEtCut(100)
htCut = RECO_CommonHTCut(350)
missedHT = OP_MissedHTCut(1.25)
HadAlphaT = OP_HadronicAlphaT(0.55)

HadronicPlottingOps = PSet(
    DirectoryName="Hadronic",
    MinObjects=2,
    MaxObjects=10,
    Dalitz=True,
    AlphaT=False,
    PtHat=False,
)
myplots = OP_HadronicPlottingOps(HadronicPlottingOps.ps())


def addCutFlow(a):
    a += numComLeptons
    a += numComJets
    a += numComPhotons
    a += oddElectron
    a += oddMuon
    a += oddJet
    a += oddPhoton
    a += badMuonInJet
    a += photonKilledJet
    a += secondJetET
    a += htCut
    a += missedHT
コード例 #33
0
pset350plus_afterDeadEcal_3om = deepcopy(pset_3om)
pset350plus_afterDeadEcal_3om.DirName = "350GeV_afterDeadEcal_3om"

#after all cuts
pset350plus_afterAllCuts_2om = deepcopy(pset_2om)
pset350plus_afterAllCuts_2om.DirName = "350GeV_afterAllCuts_2om"
#
pset350plus_afterAllCuts_2eq = deepcopy(pset_2eq)
pset350plus_afterAllCuts_2eq.DirName = "350GeV_afterAllCuts_2eq"
#
pset350plus_afterAllCuts_3om = deepcopy(pset_3om)
pset350plus_afterAllCuts_3om.DirName = "350GeV_afterAllCuts_3om"

#plot operations
#attach after >250GeV cut
plotGtHT250_2om = WeeklyUpdatePlots(pset_2om.ps())
plotGtHT250_2eq = WeeklyUpdatePlots(pset_2eq.ps())
plotGtHT250_3om = WeeklyUpdatePlots(pset_3om.ps())

#attach after 250GeV < HT < 300GeV && dead ecal:
plotHT250_300_deadECAL_2om = WeeklyUpdatePlots(pset250_300_2om.ps())
plotHT250_300_deadECAL_2eq = WeeklyUpdatePlots(pset250_300_2eq.ps())
plotHT250_300_deadECAL_3om = WeeklyUpdatePlots(pset250_300_3om.ps())

#attach after 300GeV < HT < 350GeV && dead ecal:
plotHT300_350_deadECAL_2om = WeeklyUpdatePlots(pset300_350_2om.ps())
plotHT300_350_deadECAL_2eq = WeeklyUpdatePlots(pset300_350_2eq.ps())
plotHT300_350_deadECAL_3om = WeeklyUpdatePlots(pset300_350_3om.ps())

#attach after HT > 350GeV && dead ecal
plotGtHT350_deadECAL_2om = WeeklyUpdatePlots(
コード例 #34
0
numComJetsEq2 = OP_NumComJets("==", 2)
numComJetsGeq = OP_NumComJets(">=", 3)

#JetTrigger = OP_TriggerCut("HLT_HT100U")
#new trigger operations (TW)
#This will be changing in the new run to the HLT_HTXXX_AlphaT0pYY triggers
datatriggerps = PSet(Verbose=False,
                     Triggers=[
                         "HLT_HT100U",
                         "HLT_HT120U",
                         "HLT_HT140U",
                         "HLT_HT150U_v3",
                         "HLT_HT160U_v1",
                         "HLT_HT160U_v3",
                     ])
DataTrigger = OP_HadronicDataTrigger(datatriggerps.ps())

#MC trigger - uses second jet collection (IC5, uncorrected) to act as trigger emulator.
mctriggerps = PSet(
    Verbose=False,
    JetPtCut=20.,
    HTCut=140.,
)
mcTrigger = OP_HadronicMCTrigger(mctriggerps.ps())

#NoiseFilt = OP_HadronicHBHEnoiseFilter()
NoiseFilt = OP_HadronicHBHEnoiseFilter()
VertexPtOverHT = OP_SumVertexPtOverHT(0.1)
#Standard Event Selection
selection = OP_GoodEventSelection()
コード例 #35
0
    def __init__(self,
                 data,
                 loose_id,
                 tight_id,
                 trigger_bits = (
                     "HLT_Ele10_LW_L1R", # run < 140041
                     "HLT_Ele15_SW_L1R", # run <= 143962
                     "HLT_Ele15_SW_CaloEleId_L1R", # run <= 146427
                     "HLT_Ele17_SW_CaloEleId_L1R", # run <= 147116
                     "HLT_Ele17_SW_TightEleId_L1R", # run <= 148818
                     "HLT_Ele22_SW_TighterEleId_L1R_v2", # run <= 149180
                     "HLT_Ele22_SW_TighterEleId_L1R_v3" # run >= 149181
                     ),
                 pf_mht = True,
                 mht_cuts = [50, 75, 100 ],
                 met_cuts = [10, 20, 30, 40],
                 mt_cuts = [30, 50, 70],
                 lepton_type = "Electron",
                 ele_jet_dr = 0.3,
                 lep_ptcut = 25.,
                 name = "eWPol",
		 ignore_gen = False,
                 event_no_dump = True
                 ):
        self.name = name
        self.jet_dr = wpol.EleJetDRFilter(ele_jet_dr)
        self.loose_ele_id = wpol.CustomEleId(loose_id.ps())
        self.tight_ele_id = wpol.CustomEleId(tight_id.ps())
        self.lep_pt_cut = lep_ptcut
        self.pol_plots_cfg = PSet(
            DoGen = not (data or ignore_gen),
            LeptonType = lepton_type,
            METThreshold = 40.,
            NLeptons = 1
            )
        self.ops = []
        # Basic event selection
        triggers = PSet(Triggers=trigger_bits)
        self.ops.append(("basic_plots_pretrig",
                         wpol.eWPolBasicPlots("eWPolBasicPlots_PreTrigger",
                                              self.pol_plots_cfg.ps())))
        self.ops.append(("trigger", fwk.OP_MultiTrigger(
            triggers.ps()
            )))
        self.ops.append(("basic_plots_posttrig",
                         wpol.eWPolBasicPlots("eWPolBasicPlots_PostTrigger",
                                              self.pol_plots_cfg.ps())))
        self.ops.append(("good_events", fwk.OP_GoodEventSelection()))
        # Basic object cuts
        self.ops.append(("datamc_one_ele", wpol.DataMCPlots("RECO_DataMCPlots_OneEle")))
        self.ops.append(("one_ele", fwk.OP_NumComElectrons("==", 1)))
        self.ops.append(("basic_plots_gteqoneele",
                         wpol.eWPolBasicPlots("eWPolBasicPlots_GTEQOneEle",
                                              self.pol_plots_cfg.ps())))
        self.ops.append(("good_ele", wpol.ApplyLeptonCut(lepton_type,
                                            lep_ptcut,
                                            self.tight_ele_id,
                                            1,
                                            True)))
        self.ops.append(("datamc_one_wp70_ele", wpol.DataMCPlots("RECO_DataMCPlots_OneWP70Ele")))
        self.ops.append(("three_charge", wpol.ChargeAgreement()))
        self.ops.append(("basic_plots_oneele",
                         wpol.eWPolBasicPlots("eWPolBasicPlots_OneEle",
                                              self.pol_plots_cfg.ps())))
        # self.ops.append(("z_mass", wpol.MassWindowCut(lepton_type,
        #                                     PSet( MassLower = 76.,
        #                                           MassUpper = 106.,
        #                                           MatchCharge = True,
        #                                           NetCharge = 0).ps() )))
        self.ops.append(("zero_mu", fwk.OP_NumComMuons("==", 0)))
        self.ops.append(("lt4_jets", fwk.OP_NumComJets("<", 4)))
        self.ops.append(("pol_plots_premht", wpol.RECO_ElPolPlots(
            "RECO_ElPolPlots_PreMHT",
            self.pol_plots_cfg.ps())))

# Pre MHT Cut

        self.ops.append(("basic_plots_premht",
                         wpol.eWPolBasicPlots("eWPolBasicPlots_PreMHT",
                                              self.pol_plots_cfg.ps())))

        # self.ops.append(("datamc_plots_premht", wpol.DataMCPlots(
        #     "RECO_DataMCPlots_PreMHT2")))

        # MHT Cuts and plots
        self.mht_cuts = {}
        self.pol_plots = {}
        self.datamc_plots = {}
        for mht in mht_cuts:
            if pf_mht:
                self.mht_cuts[mht] = wpol.OP_PFMHTCut(mht)
            else:
                self.mht_cuts[mht] = fwk.RECO_CommonMHTCut(mht)
            self.pol_plots["mht%d" % mht] = wpol.RECO_ElPolPlots(
                "RECO_ElPolPlots_PostMHT%d" % mht,
                self.pol_plots_cfg.ps())
            self.datamc_plots["mht%d" % mht] = wpol.DataMCPlots(
                "RECO_DataMCPlots_PostMHT%d" % mht)

        # MET Cuts and plots

        self.met_cuts = {}
        for mht in mht_cuts:
            for met in met_cuts:
                self.met_cuts[(mht, met)] = fwk.OP_PFMETCut(met)
                self.pol_plots["mht%d_met%d" % (mht, met)] = wpol.RECO_ElPolPlots(
                    "RECO_ElPolPlots_PostMHT%dMET%d" % (mht, met),
                    self.pol_plots_cfg.ps())

        # MT Cuts and plots
        self.mt_cuts = {}
        for mht in mht_cuts:
            for mt in mt_cuts:
                self.mt_cuts[(mht, mt)] = wpol.ePFMTCut(lepton_type, mt)
                self.pol_plots["mht%d_mt%d" % (mht, mt)] = wpol.RECO_ElPolPlots(
                    "RECO_ElPolPlots_PostMHT%dMT%d" % (mht, mt),
                    self.pol_plots_cfg.ps())
		self.datamc_plots["mht%d_mt%d" % (mht, mt)] = wpol.DataMCPlots(
		    "RECO_DataMCPlots_PostMHT%dMT%d" % (mht, mt))
        self.cuts = {}
        self.tree = fwk.Tree(self.name)
        if event_no_dump:
            self.event_no_dump = wpol.EventNoDump("EventNoDump_MT50", "event_no")
コード例 #36
0
pset_standard_hadronic_goodAlphaT = deepcopy(
    pset_standard_hadronic_smallPFMET_noLowerLimit)
pset_standard_hadronic_goodAlphaT.DirName = "HadronicCommon_goodAlphaT"

pset_standard_hadronic_largeAlphaT = deepcopy(
    pset_standard_hadronic_smallPFMET_noLowerLimit)
pset_standard_hadronic_largeAlphaT.DirName = "HadronicCommon_largeAlphaT"

pset_standard_hadronic_smallAlphaT = deepcopy(
    pset_standard_hadronic_smallPFMET_noLowerLimit)
pset_standard_hadronic_smallAlphaT.DirName = "HadronicCommon_smallAlphaT"

plots_standardHadronic_beforeAlphaT = HadronicCommonPlots(
    pset_standard_hadronic_beforeAlphaT.ps())
plots_standardHadronic_smallPFMET_noLowerLimit = HadronicCommonPlots(
    pset_standard_hadronic_smallPFMET_noLowerLimit.ps())
plots_standardHadronic_smallPFMET = HadronicCommonPlots(
    pset_standard_hadronic_smallPFMET.ps())
plots_standardHadronic_PFMET_babyMHT = HadronicCommonPlots(
    pset_standard_hadronic_PFMET_babyMHT.ps())

plots_standardHadronic_PFMET_antibabyMHT = HadronicCommonPlots(
    pset_standard_hadronic_PFMET_antibabyMHT.ps())
plots_standardHadronic_largePFMET = HadronicCommonPlots(
    pset_standard_hadronic_largePFMET.ps())
plots_standardHadronic_alphaT051 = HadronicCommonPlots(
    pset_standard_hadronic_alphaT051.ps())
plots_standardHadronic_alphaT052 = HadronicCommonPlots(
    pset_standard_hadronic_alphaT052.ps())
plots_standardHadronic_alphaT053 = HadronicCommonPlots(
    pset_standard_hadronic_alphaT053.ps())
コード例 #37
0
pset1 = PSet(
    DirName="TriggerPlots",
    MinObjects=0,
    MaxObjects=15,
    StandardPlots=True,
)

pset2 = PSet(
    DirName="Standard Plots",
    MinObjects=0,
    MaxObjects=15,
    StandardPlots=True,
)

StandardPlots = WeeklyUpdatePlots(pset2.ps())

TriggerPlots = PL_TriggerPlots(pset1.ps())

cutTreeMC = Tree("MC")
cutTreeMC.Attach(selection)
cutTreeMC.TAttach(selection, oddMuon)
cutTreeMC.TAttach(oddMuon, oddElectron)
cutTreeMC.TAttach(oddElectron, oddPhoton)
cutTreeMC.TAttach(oddPhoton, numComLeptons)
cutTreeMC.TAttach(numComLeptons, numComPhotons)
cutTreeMC.TAttach(numComPhotons, LeadingJetEta)
cutTreeMC.TAttach(LeadingJetEta, badMuonInJet)
cutTreeMC.TAttach(badMuonInJet, oddJet)
cutTreeMC.TAttach(oddJet, LeadingJetCut)
cutTreeMC.TAttach(LeadingJetCut, secondJetET)
コード例 #38
0
ファイル: turnon.py プロジェクト: bainbrid/usercode
        1,
        1,
        1,
        1,
        1,
        1,
        1,
        1,
        1,
        1,
        1,
        1,
    ],
)

test = TurnOn(ps.ps())

# -----------------------------------------------------------------------------
# Cut flow

pwd = commands.getoutput('echo $SUSY_WORKING_SW_DIR')
json = JSONFilter(
    "JSON",
    json_to_pset(
        pwd +
        "/allhadronic/python/Cert_160404-163869_7TeV_PromptReco_Collisions11_JSON.txt"
    ))

cut_flow = Tree("CutFlow")
cut_flow.Attach(json)
cut_flow.TAttach(json, selection)
コード例 #39
0
    MaxGlbTrkDxy = 0.02,
    MinGlbTrkNumOfValidHits = 11,
    SegMatch2GlbMu = 1,
    PixelHitsOnInrTrk = 1,
    MaxInrTrkDz = 1.
        )
"""

#======== Filters ===========
from wpol.muon_config import muon_id # ,conf
from ra1objectid.vbtfMuonId_cff import *
from ra1objectid.vbtfElectronId_cff import *
from ra1objectid.ra3PhotonId_cff import *
vbtfElectronIdFilter = Electron_IDFilter( vbtfelectronidWP95ps.ps() )
ra3PhotonIdFilter = Photon_IDFilter( ra3photonidps.ps() )
muonfilt2 = OL_CustomVBTFMuID(mu_id.ps())
#muonfilt=CustomMuonId(muon_id.ps())
vbtMuonIdFilter = Muon_IDFilter( vbtfmuonidps.ps() )

#Cuts with Selction,HBHE,MHTovHT,CommonMHT,AlphaT 0.51

vertex_reweight = GoodVertexReweighting(
PSet(GoodVertexWeights = [1.0, 0.071182041228993354, 0.3788533298983548, 0.70212224756460717, 0.95912926863057879, 1.1063323506805849, 1.1826257455177471, 1.2297382718782017, 1.2772830447358376, 1.4266446590805815, 1.5732065775636328, 1.8401056375971667, 2.1784909215394999, 2.506266882602076, 3.3335988825191176, 4.687787057503483, 6.8602191807881647, 11.198474011060968, 14.883466002768214, 20.878255333866864, 1.0, 1.0, 1.0, 1.0, 1.0]).ps())


default_common.Jets.PtCut=50*(275./375.)

# Change depending on Muon or Had selection
#default_cc.Muons.CombIsoCut=0.15 # Had
#default_common.Muons.CombIsoCut=0.15
default_cc.Muons.CombIsoCut= 0.10  # Muon
コード例 #40
0
    PSet(
        DirName="Dalitz_350",
        MinObjects=2,
        MaxObjects=10,
        Verbose=False,
        Summary=False,
        CC=False,
        Dalitz=True,
        AlphaT=False,
        PtHat=False,
        MET=False,
        Kine=False,
        Response=False,
    ).ps())

HadStandard250_300 = HadronicCommonPlots(pset1.ps())
HadStandard300_350 = HadronicCommonPlots(pset2.ps())
HadStandard350 = HadronicCommonPlots(pset3.ps())
HadStandardAll = HadronicCommonPlots(pset4.ps())
nHadStandard250_300 = HadronicCommonPlots(Npset1.ps())
nHadStandard300_350 = HadronicCommonPlots(Npset2.ps())
nHadStandard350 = HadronicCommonPlots(Npset3.ps())
nHadStandardAll = HadronicCommonPlots(Npset4.ps())
# Common cut definitions
#Avaiable criteria for MC and for Data are at current slightly different Hence the making of two trees
#DataOnly!

from icf.JetCorrections import *
corPset = CorrectionPset()
JetCorrections = JESCorrections(corPset.ps())
NoiseFilt = OP_HadronicHBHEnoiseFilter()
コード例 #41
0
   MuonID = True,
   MuonIso = True,
   dxychoice = "beamspot"

)

jet_id = PSet(
    MinConstituents=1,
    MaxEMFrac=0.99,
    MaxHadFrac=0.99,
    FWDMinCHConstituents=0,
    FWDMinCHHadFrac=0.,
    FWDMaxCHEMFrac=0.99
)

elecSelFilter=CustomEleId(ele_id.ps())
muonSelFilter=CustomMuonId(muon_id.ps())
tauSelFilter=CustomTauId(tau_id.ps())
jetSelFilter=CustomJetId(jet_id.ps())

muelfilter=MuonElectronDrFilter(0.1)
eletaufilter=ElectronTauDrFilter(0.1)
mutaufilter=MuonTauDrFilter(0.1)

elejetfilter=ElectronJetDrFilter(0.4)
muonjetfilter=MuonJetDrFilter(0.4)
taujetfilter=TauJetDrFilter(0.1)


# Create the analysis
a=Analysis("SusyScan")
コード例 #42
0
ファイル: SUSYpas2_cfg.py プロジェクト: CMSRA1/bryn
Development  = True, #Development area, here is where the JetMET PAS plots have been developed, Needs tidying, will be put in to a File of its own, for the moment everything you want will be in here
)

pset2 = PSet(
DirName      = "MT2after",
MinObjects   = 2,
MaxObjects   = 10,
Mt2DiJet     = False,#MT2 plots of Dijet system NOT USED HERE
Mt2Multi_Jet = False,#As above for multiJet
Mt2Compare   = False,#Compares the above methods
MHT          = True, #Plots MHT Variables
DalitzMT2    = False, # A testing/idea for putting MT2 in with Dalitz plots, also False
Development  = True, #Development area, here is where the JetMET PAS plots have been developed, Needs tidying, will be put in to a File of its own, for the moment everything you want will be in here
)

plots_mt2 = BrynPlottingOps( pset1.ps() )
plots_ANmt2 = BrynPlottingOps( pset2.ps() )


hadset = PSet(
DirName    = "Hadronic",
MinObjects = 2,
MaxObjects = 10,
Verbose    = False,
Summary    = False,
CC         = False,
Dalitz     = False,
AlphaT     = True, #Robs alphaT plots.
PtHat      = False,
MET        = False,
Kine       = False,
コード例 #43
0
#!/usr/bin/env python

# standard imports
import setupSUSY
from libFrameworkSUSY import *
import libOneLepton as one
import libWPol as wpol
from copy import deepcopy
from icf.core import PSet, Analysis

# The leptonic specicif settings&files
from onelepton_settings import *
from onelepton_MC_samples import *
from onelepton.filters import metScaleSystematic, vertexReweighting, metResolutionSystematic

syst_ps = PSet(Polarisation=True, Lepton="Muon", METResolution=True)
syst_plots = one.SystematicsPlots("Systematics", syst_ps.ps())

syst = Analysis("Systematics")
tree = Tree("Main")
syst += tree

tree.Attach(syst_plots)

syst.Run("./systematics", conf, samplesMC)
コード例 #44
0
        "HLT_Ele10_CaloIdL_CaloIsoVL_TrkIdVL_TrkIsoVL_HT200_v*",
        "HLT_HT200_Ele5_CaloIdVL_TrkIdVL_CaloIsoVL_TrkIsoVL_PFMHT35_v*",
        "HLT_HT250_Ele5_CaloIdVL_TrkIdVL_CaloIsoVL_TrkIsoVL_PFMHT35_v*",
        "HLT_HT300_Ele5_CaloIdVL_TrkIdVL_CaloIsoVL_TrkIsoVL_PFMHT40_v*",
        "HLT_HT350_Ele5_CaloIdVL_TrkIdVL_CaloIsoVL_TrkIsoVL_PFMHT45_v*",
        "HLT_HT300_Ele5_CaloIdVL_CaloIsoVL_TrkIdVL_TrkIsoVL_PFMHT40_v*",
        "HLT_HT350_Ele5_CaloIdVL_CaloIsoVL_TrkIdVL_TrkIsoVL_PFMHT45_v*",
    ],
    Verbose=False,
    UsePreScaledTriggers=False,
)


json = JSONFilter("Cert_160404-165542", json_to_pset("%s/onelepton/json/RA4muonSync.txt" % susyDir()))

triggerData4X = OP_MultiTrigger(trg_set2.ps())
triggerData4XCtrl = OP_MultiTrigger(trg_set4.ps())

triggerData42X_PromptReco = OP_MultiTrigger(trg_set5.ps())
triggerData42XCtrl_PromptReco = OP_MultiTrigger(trg_set6.ps())

triggerData42X_ReReco = OP_MultiTrigger(trg_set2.ps())
triggerData42XCtrl_ReReco = OP_MultiTrigger(trg_set4.ps())

etriggerData42X_ReReco = OP_MultiTrigger(etrg_set1.ps())
etriggerData42X_PromptReco = OP_MultiTrigger(etrg_set2.ps())

etriggerData42XCtrl_ReReco = OP_TriggerCut("HLT_Ele27_CaloIdVT_CaloIsoT_TrkIdT_TrkIsoT_v3")
etriggerData42XCtrl_PromptReco = OP_MultiTrigger(etrg_set3.ps())

# lepton specific cuts
コード例 #45
0
ttWPlottingOps100 = RECO_ttWPlotting("ttW_After250")
ttWPlottingOps350 = RECO_ttWPlotting("ttW_After350")
ttWPlottingOpsAT = RECO_ttWPlotting("ttW_AfterAT")

psetS = PSet(DirName="After_350Gev",
             MinObjects=2,
             MaxObjects=9,
             StandardPlots=True,
             DeadECALPlots=False,
             CleaningControlPlots=False,
             MECPlots=False,
             DeadECALFile="./deadRegionList_START36_V9.txt",
             DeadECAL_MinJetPtCut=10.,
             DeadECAL_MinBiasCut=0.5)

HadStandard350 = HadronicCommonPlots(psetS.ps())
psetMHT = PSet(
    #  DirName      = "HadronicCommon_1",
    #  MinObjects   = 2,
    #  MaxObjects   = 6,
    #  StandardPlots     = False,
    #  DeadECALPlots = True,
    #  CleaningControlPlots = True,
    #  MECPlots = True,
    #  DeadECALFile = "./deadRegionList_START36_V9.txt",
    #  DeadECAL_MinJetPtCut = 10.,
    #  DeadECAL_MinBiasCut = 0.5
    DirName="After_MHTGev",
    MinObjects=2,
    MaxObjects=9,
    StandardPlots=True,
コード例 #46
0
ZeroPhotons = OP_NumComPhotons("<=", 0)
OddPhot = OP_OddPhoton()
GE2Jets = OP_NumComJets(">=", 2)
OddJet = OP_OddJet()
badMuonINJet = OP_BadMuonInJet()
secondJetET = OP_SecondJetEtCut(30.)

HTlep200 = RECO_LeptonicHTCut(200.)
HTlep300 = RECO_LeptonicHTCut(300.)
HTlep350 = RECO_LeptonicHTCut(350.)
LepAlphaTCut = OP_LeptonicAlphaTCut(0.53)
ed_all = OP_EventDisplay("ED_All", "all") #to draw all objects
ed_com = OP_EventDisplay("ED_Com", "common") #to draw all objects


eletree = AnalysisTree("eletree",tree_ele.ps())
mutree = AnalysisTree("mutree",tree_mu.ps())
mutree_iso = AnalysisTree("mutree_iso",tree_mu.ps())

tree = Tree("Main")
# Main trunk of tree
tree.Attach(MuonTreeReq)
tree.TAttach(MuonTreeReq,mutree_iso)
tree.TAttach(mutree_iso,OneMuon)
tree.TAttach(OneMuon,MaxPtCut)
tree.TAttach(MaxPtCut,HTlep200)
tree.TAttach(HTlep200,LepAlphaTCut)
tree.TAttach(LepAlphaTCut,ed_all)
tree.TAttach(ed_all,ed_com)

コード例 #47
0
ファイル: makeEleTree.py プロジェクト: brynmathias/AnalysisV2
# ====================================
# trigger = OP_TriggerCut("HLT_Ele15_SW_L1R")
trigger = OP_TriggerCut("HLT_Jet15U")

selection = OP_GoodEventSelection()
HBHE = OP_HadronicHBHEnoiseFilter()

OneElectron = OP_NumComElectrons(">=", 1)
odde = OP_OddElectron()
ZeroMuons = OP_NumComMuons("==", 0)
oddm = OP_OddMuon()
ZeroPhotons = OP_NumComPhotons("==", 0)
LT4Jets = OP_NumComJets(">=", 1)
oddj = OP_OddJet()

BasicPlotsPreMHT = ElectronTree("eTree_PreMHT", pol_plots_cfg.ps())


tree = Tree("Main")
# Main trunk of tree
tree.Attach(trigger)
tree.TAttach(trigger, selection)
tree.TAttach(selection, HBHE)
tree.TAttach(HBHE, OneElectron)
tree.TAttach(OneElectron, ZeroMuons)
tree.TAttach(ZeroMuons, oddj)
tree.TAttach(oddj, BasicPlotsPreMHT)

# tree.TAttach(OneElectron,odde)
# tree.TAttach(odde,ZeroMuons)
# tree.TAttach(ZeroMuons,oddm)
コード例 #48
0
ak5pfResCorrections = CorrectionPset(
    YourSusyDir, "/framework/python/icf/Spring10DataV2_L2L3Residual_AK5PF.txt")

evDiagPs = PSet(
    LatexFilename="diagSlides.tex",
    Triggers=[
        "HLT_HT100U",
        "HLT_HT120U",
        "HLT_HT140U",
        "HLT_HT150U_v3",
        "HLT_HT160U_v1",
        "HLT_HT160U_v3",
    ],
    #    CaloJetCorrections = caloResCorrections.ps(),
)
evDiag = OP_PFDiagnosticSlideMaker(evDiagPs.ps(), caloResCorrections.ps(),
                                   ak5pfResCorrections.ps())
#cutTreeData.TAttach(MHToverMET2om_350plus,evDisplay)
cutTreeData.TAttach(MHToverMET2om_350plus, evId)
cutTreeData.TAttach(MHToverMET2om_350plus, evDiag)
#
#
# number of common jets = 2
cutTreeData.TAttach(count_total, numComJets2Please)
cutTreeData.TAttach(numComJets2Please, count_numComJets2eq)
cutTreeData.TAttach(numComJets2Please, dataTrigger2eq)
cutTreeData.TAttach(dataTrigger2eq, count_Trigger2eq)
cutTreeData.TAttach(dataTrigger2eq, NoiseFilt2eq)
cutTreeData.TAttach(NoiseFilt2eq, count_NoiseFilt2eq)
cutTreeData.TAttach(NoiseFilt2eq, selection2eq)
cutTreeData.TAttach(selection2eq, count_selection2eq)
コード例 #49
0
        cut_flow.TAttach(oddMuon,qcdBkgdEst)
    elif ( VetoesOption == "NoVetoes" ) :
        cut_flow.TAttach(selection_duplicate,qcdBkgdEst)
    elif ( VetoesOption == "NoOddVetoes" ) :
        cut_flow.TAttach(selection_duplicate,numComPhotons)
        cut_flow.TAttach(numComPhotons,numComElectrons)
        cut_flow.TAttach(numComElectrons,numComMuons)
        cut_flow.TAttach(numComMuons,qcdBkgdEst)

    if ( True and FilterOption > -1 ) :
        skim_ps = PSet(
            SkimName = "Skim",
            Branches = ["keep *"],
            DropBranches = False,
            )
        skim = SkimOp( skim_ps.ps() )
        cut_flow.TAttach(qcdBkgdEst,skim)
    
# -----------------------------------------------------------------------------
# dataset 

Darren=PSet(
    Name="Darren",
    Format=("ICF",3),
    File=[
    "root://xrootd.grid.hep.ph.ic.ac.uk/store/user/henning/ICF/automated/2011_11_11_14_03_49/HT.Run2011A-May10ReReco-v1.AOD/SusyCAF_Tree_1000_2_5ze.root" ,
    "root://xrootd.grid.hep.ph.ic.ac.uk/store/user/henning/ICF/automated/2011_11_11_14_03_49/HT.Run2011A-May10ReReco-v1.AOD/SusyCAF_Tree_1001_2_QRR.root" ,
    "root://xrootd.grid.hep.ph.ic.ac.uk/store/user/henning/ICF/automated/2011_11_11_14_03_49/HT.Run2011A-May10ReReco-v1.AOD/SusyCAF_Tree_1002_2_56x.root" ,
    "root://xrootd.grid.hep.ph.ic.ac.uk/store/user/henning/ICF/automated/2011_11_11_14_03_49/HT.Run2011A-May10ReReco-v1.AOD/SusyCAF_Tree_1003_2_Z7B.root" ,
    "root://xrootd.grid.hep.ph.ic.ac.uk/store/user/henning/ICF/automated/2011_11_11_14_03_49/HT.Run2011A-May10ReReco-v1.AOD/SusyCAF_Tree_1004_2_jeP.root" ,
    "root://xrootd.grid.hep.ph.ic.ac.uk/store/user/henning/ICF/automated/2011_11_11_14_03_49/HT.Run2011A-May10ReReco-v1.AOD/SusyCAF_Tree_1005_2_ObZ.root" ,
コード例 #50
0
ファイル: myKinCorrW.py プロジェクト: taroni/usercode
conf.Common.Electrons.EtaCut = 2.4
conf.Common.Photons.EtCut=30.
conf.Common.Electrons.ApplyID=False

# Create the analysis
a = Analysis("KinCorrection")

tree = Tree("Main")
Trigger=PSet(
       McAnal =False,
       MSugraScan = 0.,
       TriggerBits=PSet(
         bit1=""
        )
    )
ssdlTrigg=SSDLTrigger("Trigger",Trigger.ps())



ZeroMuons = OP_NumComMuons("==", 0)


KinCorrParPlus = PSet(
	zMassMin = 71.,
	zMassMax = 111.,
        BarrelEtaMax = 1.4442,
	EndCapEtaMin = 1.56,
	EndCapEtaMax = 2.5,
	c_ErNu_pt = 0.,
        MinElecRescaledPt=0.,
        wID=+24., ##24 W+, -24 W-
コード例 #51
0
#conf.Common.Electrons.TightID = True
#conf.Common.ApplyXCleaning=False
#conf.Common.Electrons.ApplyID=False

conf.XCleaning.Verbose=False
conf.Common.ApplyXCleaning=False


a=Analysis("ht300")

###FILTERS
taujetfilter=TauJetDrFilter(0.05)
muelfilter=MuonElectronDrFilter(0.05)
muond0filter=LeptonD0Filter(0.2,0.0,0.0322)
elecd0filter=LeptonD0Filter(0.2,0.0,0.0322)
elecSelFilter=CustomEleId(ele_id.ps())
muonSelFilter=CustomMuonId(muon_id.ps())
#tauSelFilter=CustomTauId(tau_id.ps())

a.AddJetFilter("PreCC",taujetfilter)
a.AddElectronFilter("PreCC",muelfilter)
a.AddMuonFilter("PreCC",muond0filter)
a.AddElectronFilter("PreCC",elecd0filter)
a.AddElectronFilter("PreCC",elecSelFilter)
a.AddMuonFilter("PreCC",muonSelFilter)
#a.AddTauFilter("PreCC",tauSelFilter)

# With the V2 code you can add linear sets of operations as before
# Here we will use the Tree class to have branching operations
# Create a Tree called Main
tree = Tree("Main")
コード例 #52
0
                            htBins = [275, 325] + [375+100*i for i in range(6)],
                            label2 = "btag_%s_%i_NoAlphaT_"%(btags[0],btags[1]),extra = MChiCut))

  return out




from ra1objectid.vbtfElectronId_cff import *
from ra1objectid.vbtfMuonId_cff import *
from ra1objectid.ra3PhotonId_cff import *
vbtfElectronIdFilter = Electron_IDFilter( vbtfelectronidWP95ps.ps() )
#vbtfElectronIdFilter = Electron_IDFilter( vbtfelectronidWP90ps.ps() )
ra3PhotonIdFilter  = Photon_IDFilter( ra3photonidps.ps() )

muonfilt = CustomVBTFMuID(mu_id.ps()) if switches()["selection"]=="muon" else Muon_IDFilter( vbtfmuonidps.ps() )
# muonfilt = Muon_IDFilter(vbtfmuonidps.ps())
import os
susydir = os.environ['SUSY_WORKING_SW_DIR'] + '/'
if isCmssm(switches()["model"]) :
    if switches()["model"] == "tanB10": LOweights = SignalScanLOCrossSectionWeighting(xsToPSet( readLOXS(susydir+"SUSYSignalScan/textfiles/goodModelNames_10_0_1.txt") ).ps())
    if switches()["model"] == "tanB40": LOweights = SignalScanLOCrossSectionWeighting(xsToPSet( readLOXS(susydir+"SUSYSignalScan/textfiles/goodModelNames_40_m500_1.txt") ).ps())

def addCutFlowMC(a,cutTreeMC) :
  if "tan" in switches()["model"]:a.AddWeightFilter("Weight",LOweights)
  if switches()["jes"] != "":
    a.AddJetFilter("PreCC",JESUncert)
  a.AddMuonFilter("PreCC",muonfilt); print "WARNING: should this be PreCC?"
  a.AddPhotonFilter("PreCC",ra3PhotonIdFilter)
  a.AddElectronFilter("PreCC",vbtfElectronIdFilter)
  a+=cutTreeMC
コード例 #53
0
}
# refTrigList =  ["HLT_Mu40_HT200_v*","HLT_Mu40_HT200_v*"]
# TestTrigList = ["HLT_HT250_AlphaT0p53_v6","HLT_HT250_AlphaT0p55_v*"]
#


trigList = []
sigList = []
for key,vals in alphatTesting.iteritems():
    trigList+=vals[0]
    sigList.append(key)
htCut = RECO_CommonHTCut(375.)
alphaT055 = HadronicAlphaT(0.55)
dump = EventDump()
Cross_Trigger_PS.Triggers =  trigList
TriggersRef = OP_MultiTrigger(Cross_Trigger_PS.ps())
HT_Trigger_PS.Triggers = sigList
TriggersSig = OP_MultiTrigger(HT_Trigger_PS.ps())
cutTreeData.TAttach(muDr,TriggersRef)
cutTreeData.TAttach(TriggersRef,TriggersSig)
cutTreeData.FAttach(TriggersSig,alphaT055)
cutTreeData.TAttach(alphaT055,htCut)
cutTreeData.TAttach(htCut,dump)


skim_ps=PSet(
    SkimName = "myskim",
    DropBranches = False,
    Branches = [
        " keep * "
        ]
コード例 #54
0
ファイル: batchGolden.py プロジェクト: mengzx/CMS-SUSY-2012
default_common.Photons.UseID = True
# the photon cuts are NOT read anyway
# default_common.Photons.TrkIsoRel=0.
# default_common.Photons.TrkIsoCut=99999.
# default_common.Photons.EcalIsoRel=0.
# default_common.Photons.EcalIsoCut=99999.
# default_common.Photons.HcalIsoRel=0.
# default_common.Photons.HcalIsoCut=99999.
# default_common.Photons.HadOverEmCut=0.5
# default_common.Photons.SigmaIetaIetaCut=0.5
##default_common.Photons.CaloIsoCut=99999.
default_common.Photons.IDReq = 3
default_common.Photons.RequireLooseForOdd = True

skim_ps = PSet(SkimName="myskim", DropBranches=False, Branches=[" keep * "])
skim = SkimOp(skim_ps.ps())

#Plot the common plots!

genericPSet_mc = PSet(
    DirName="275_325Gev",
    MinObjects=2,
    MaxObjects=15,
    minDR=0.4,
    mCut=2.0,
    isData=False,
    StandardPlots=True,
)

genericPSet_data = PSet(
    DirName="275_325Gev",
コード例 #55
0
#conf.Common.ApplyXCleaning=False
#conf.Common.Electrons.ApplyID=False

conf.XCleaning.Verbose=False
conf.Common.ApplyXCleaning=False


a=Analysis("PFiso")

###FILTERS

taujetfilter=TauJetDrFilter(0.1)
muelfilter=MuonElectronDrFilter(0.1)
muond0filter=LeptonD0Filter(0.2,0.0,0.0322)
elecd0filter=LeptonD0Filter(0.2,0.0,0.0322)
elecSelFilter=CustomEleId(ele_id.ps())
muonSelFilter=CustomMuonId(muon_id.ps())
tauSelFilter=CustomTauId(tau_id.ps())
eletaufilter=ElectronTauDrFilter(0.1)
mutaufilter=MuonTauDrFilter(0.1)

#a.AddMuonFilter("PreCC",muond0filter)
a.AddMuonFilter("PreCC",muonSelFilter)
#a.AddElectronFilter("PreCC",elecd0filter)
#a.AddElectronFilter("PreCC",elecSelFilter)
#a.AddElectronFilter("PreCC",muelfilter)
#a.AddTauFilter("PreCC",tauSelFilter)
#a.AddTauFilter("PreCC",mutaufilter)
#a.AddTauFilter("PreCC",eletaufilter)
#a.AddJetFilter("PreCC",taujetfilter)
コード例 #56
0
ファイル: batchGolden.py プロジェクト: CMSRA1/bryn
default_common.Photons.UseID = True
# the photon cuts are NOT read anyway
# default_common.Photons.TrkIsoRel=0.
# default_common.Photons.TrkIsoCut=99999.
# default_common.Photons.EcalIsoRel=0.
# default_common.Photons.EcalIsoCut=99999.
# default_common.Photons.HcalIsoRel=0.
# default_common.Photons.HcalIsoCut=99999.
# default_common.Photons.HadOverEmCut=0.5
# default_common.Photons.SigmaIetaIetaCut=0.5
##default_common.Photons.CaloIsoCut=99999.
default_common.Photons.IDReq = 3
default_common.Photons.RequireLooseForOdd = True

skim_ps = PSet(SkimName="myskim", DropBranches=False, Branches=[" keep * "])
skim = SkimOp(skim_ps.ps())

#Plot the common plots!

genericPSet = PSet(
    DirName="275_325Gev",
    MinObjects=2,
    MaxObjects=15,
    StandardPlots=True,
)


def makePlotOp(OP=(), cutTree=None, cut=None, label=""):
    """docstring for makePlotOp"""
    out = []
    if OP[1] != None: