GlobalVariables.py

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# Copyright (C) 2002-2020 CERN for the benefit of the ATLAS collaboration
 
 
from ROOT import TMath
import AthenaCommon.SystemOfUnits as Units
 
#import cppyy
#cppyy.load_library("libLArStrHelperDict")
#import LArStrHelper 
#import ROOT
#ROOT.gROOT.GetClass('LArStrHelper::febNameString')
from ROOT import LArStrHelper
 
class LArDQGlobals(object):
      __slots__ = ('HVeta_EMB','HVphi_EMB','HVeta_EMEC','HVphi_EMEC','HVeta_HECFcal','HVphi_HECFcal',
                   'LB_Bins','LB_Min','LB_Max','BCID_Bins','BCID_Min','BCID_Max',
                   'colTime_BinWidth','colTime_Bins','colTime_Min','colTime_Max','avgColTime_BinWidth','avgColTime_Bins','avgColTime_Min','avgColTime_Max',
                   'etaCaloNoise_Bins','etaCaloNoise_Max','etaCaloNoise_Min','etaCaloNoise_FcalBins','etaCaloNoise_FcalMax','etaCaloNoise_FcalMin',
                   'FEB_Feedthrough','FEB_Slot','FEB_Crates',
                   'FEB_N_channels','FEB_channels_Min','FEB_channels_Max', 'N_FEBErrors','FEBErrors',
                   'N_FEB_Parttions_Max','N_Cells', 'N_FEB', 'N_Partitions','N_Gains','Gains',
                   'Feedthrough_Slot_Nbins','Feedthrough_Slot_range','Feedthrough_Slot_labels_Barrel','Feedthrough_Slot_labels_Endcap',
                   'ROD_Crates','ROD_Slots','ROS_link',
                   'N_DigitsSummary','DigitsSummary',
                   'N_SubDet','SubDet','Samples_Bins','Samples_Min','Samples_Max',
                   'Energy_Bins','Energy_Min','Energy_Max', 'DSPEnergy_Bins', 'DSPEnergy_Min', 'DSPEnergy_Max',
                   'DSPTime_Bins', 'DSPTime_Min', 'DSPTime_Max', 'DSPQuality_Bins', 'DSPQuality_Min', 'DSPQuality_Max',
                   'DSP1Energy_Bins', 'DSP1Energy_Min', 'DSP1Energy_Max','DSPRanges_Bins', 'DSPRanges_Min', 'DSPRanges_Max', 'DSPRanges',
                   'DSPEonEoff_Bins','DSPEonEoff_Max', 'DSPTonToff_Bins','DSPTonToff_Max', 'DSPQonQoff_Bins','DSPQonQoff_Max', 'DSPThr_Bins',
                   'L1Trig_Bins','L1Trig_Min','L1Trig_Max',
                   'Evt_Bins','Evt_Min','Evt_Max','Evt_labels',
                   'EvtRej_Bins','EvtRej_Min','EvtRej_Max','EvtRej_labels','rejBits_Bins',
                   'defaultStreamNames',
                   'TotalNcell',
                   'noisyFEB_Bins','noisyFEB_Max','noisyFEB_Min',
                   'Cell_Time_Min','Cell_Time_Max','Emin','Emax','DEmin','DEmax','Qmin','Qmax','DQmin','DQmax',
                   'Tmin','Tmax','DTmin','DTmax','OnlineOffline','TTriggerTypeMax','MaxCellThresholdADC',
                   'CorruptionSource','Streams',
                   'Partitions','Sides','Variables','Layers','Cell_Variables','SuperCell_Variables',
                   'febsBarrelA','febsEndcapA','febsBarrelC','febsEndcapC',
                   'CNFN_tot','CNFXmin_tot','CNFXmax_tot','CNFN_ncoh','CNFXmin_ncoh','CNFXmax_ncoh')
      
 
lArDQGlobals = LArDQGlobals()
 
#HV eta-phi bins (used by LArAffectedRegions, bin values copied from there). NOTE: EMEC bins are provided as a list of bin boundaries (variable bin size), all other partitions are in format [Nbins,x_low,x_high]
#barrel
lArDQGlobals.HVeta_EMB = {"EMBAPS":[8, 0.,1.6],"EMBA":[7,0.,1.4]}
lArDQGlobals.HVphi_EMB = {"EMBAPS":[32,-TMath.Pi(),TMath.Pi()],"EMBA":[128,-TMath.Pi(),TMath.Pi()]}
for end in ["PS",""]:
    bins=lArDQGlobals.HVeta_EMB["EMBA"+end]
    lArDQGlobals.HVeta_EMB["EMBC"+end]=[bins[0],-1*(bins[2]+0.01),-1*(bins[1]+0.01)]
    lArDQGlobals.HVphi_EMB["EMBC"+end]=lArDQGlobals.HVphi_EMB["EMBA"+end]
#endcap
emecbinsA=[1.375,1.50,1.6,1.8,2.0,2.1,2.3,2.5,2.8,3.2]
emecbinsC=[-1*(bi+0.01) for bi in reversed(emecbinsA)]
phibinsPS=64
phibins=256
lArDQGlobals.HVeta_EMEC = {"EMECAPS":emecbinsA,"EMECA":emecbinsA,"EMECCPS":emecbinsC,"EMECC":emecbinsC} 
lArDQGlobals.HVphi_EMEC={}
ps_phirange = range(phibinsPS+1)
lArDQGlobals.HVphi_EMEC["EMECAPS"]=[-TMath.Pi()+ x*2*TMath.Pi()/phibinsPS for x in ps_phirange]
phirange =range(phibins+1) 
lArDQGlobals.HVphi_EMEC["EMECA"]=[-TMath.Pi()+ x*2*TMath.Pi()/phibins for x in phirange]
lArDQGlobals.HVphi_EMEC["EMECCPS"]=lArDQGlobals.HVphi_EMEC["EMECAPS"]
lArDQGlobals.HVphi_EMEC["EMECC"]=lArDQGlobals.HVphi_EMEC["EMECA"]
#hec-fcal
lArDQGlobals.HVeta_HECFcal = {"HECA":[1,1.5, 3.2],"FCalA":[1, 2.9, 4.9]} #same for all layers
lArDQGlobals.HVphi_HECFcal = {"HECA":[32,-TMath.Pi(),TMath.Pi()],"FCalA":[16, -3.2, 3.2]} #same for all layers
for par in ["HEC","FCal"]:
    bins=lArDQGlobals.HVeta_HECFcal[par+"A"]
    lArDQGlobals.HVeta_HECFcal[par+"C"]=[bins[0],-1*(bins[2]+0.01),-1*(bins[1]+0.01)]
    lArDQGlobals.HVphi_HECFcal[par+"C"]=lArDQGlobals.HVphi_HECFcal[par+"A"]
#Lumi block ranges
lArDQGlobals.LB_Bins=3000
lArDQGlobals.LB_Min=-0.5
lArDQGlobals.LB_Max=lArDQGlobals.LB_Bins+lArDQGlobals.LB_Min
#bunch crossing id ranges
lArDQGlobals.BCID_Bins=3564
lArDQGlobals.BCID_Min=-0.5
lArDQGlobals.BCID_Max=lArDQGlobals.BCID_Min+lArDQGlobals.BCID_Bins
#LArCollisionTime (A-C) ranges
lArDQGlobals.colTime_BinWidth = 0.25*Units.nanosecond
lArDQGlobals.colTime_Min=-50.5*Units.nanosecond
lArDQGlobals.colTime_Max=50.5*Units.nanosecond
lArDQGlobals.colTime_Bins=(int)((lArDQGlobals.colTime_Max-lArDQGlobals.colTime_Min)//lArDQGlobals.colTime_BinWidth)
lArDQGlobals.avgColTime_BinWidth = 0.25*Units.nanosecond
lArDQGlobals.avgColTime_Min=-40*Units.nanosecond
lArDQGlobals.avgColTime_Max=40*Units.nanosecond
lArDQGlobals.avgColTime_Bins=(int)((lArDQGlobals.avgColTime_Max-lArDQGlobals.avgColTime_Min)//lArDQGlobals.avgColTime_BinWidth)
#eta ranges for caloNoise 
lArDQGlobals.etaCaloNoise_Bins=320
lArDQGlobals.etaCaloNoise_Max=3.2
lArDQGlobals.etaCaloNoise_Min=-3.2
lArDQGlobals.etaCaloNoise_FcalBins=500
lArDQGlobals.etaCaloNoise_FcalMax=5.0
lArDQGlobals.etaCaloNoise_FcalMin=-5.0
 
#FEB ranges
lArDQGlobals.FEB_Feedthrough={"EMBA":[0,31],"EMBC":[0,31],"EMECA":[0,24],"EMECC":[0,24],"HECA":[0,24],"HECC":[0,24],"FCalA":[0,24],"FCalC":[0,24]}
lArDQGlobals.FEB_Slot={"EMBA":[1,14],"EMBC":[1,14],"EMECA":[1,15],"EMECC":[1,15],"HECA":[1,15],"HECC":[1,15],"FCalA":[1,15],"FCalC":[1,15]}
lArDQGlobals.FEB_Crates={"EMBA":[1,448],"EMBC":[1,448],"EMECA":[1,375],"EMECC":[1,375],"HECA":[1,375],"HECC":[1,375],"FCalA":[1,375],"FCalC":[1,375]}
#Feb N channels
lArDQGlobals.FEB_N_channels=128
lArDQGlobals.FEB_channels_Min=-0.5
lArDQGlobals.FEB_channels_Max=lArDQGlobals.FEB_N_channels-0.5
 
#total number of FEB
lArDQGlobals.N_FEB=1524
lArDQGlobals.N_FEB_Parttions_Max=500
lArDQGlobals.N_Cells=200000
 
#feedthrough+slot ranges
lArDQGlobals.Feedthrough_Slot_Nbins={p : (lArDQGlobals.FEB_Feedthrough[p][1]+1)*lArDQGlobals.FEB_Slot[p][1] for p in lArDQGlobals.FEB_Feedthrough }
lArDQGlobals.Feedthrough_Slot_range={p : [lArDQGlobals.FEB_Feedthrough[p][0]*lArDQGlobals.FEB_Slot[p][1]+lArDQGlobals.FEB_Slot[p][0]-0.5,lArDQGlobals.FEB_Feedthrough[p][1]*lArDQGlobals.FEB_Slot[p][1]+lArDQGlobals.FEB_Slot[p][1]+0.5] for p in lArDQGlobals.FEB_Feedthrough }
range_0_32=range(32)
range_1_15=range(1,15)
lArDQGlobals.Feedthrough_Slot_labels_Barrel=[str(If) if Is==1 else '' for If in range_0_32 for Is in range_1_15]
range_0_25=range(25)
range_1_16=range(1,16)
lArDQGlobals.Feedthrough_Slot_labels_Endcap=[str(If) if Is==1 else '' for If in range_0_25 for Is in range_1_16]
 
#feedthrough+slot ranges for noise correlation plots
lArDQGlobals.Sides=["A","C"]
 
 
#numbers from LArCalorimeter/LArIdentifier/LArIdentifier/LArOnlineID_Base.h
#feedthroughString="ft"
#slotString="slot"
#barrelString="Barrel"
#endcapString="Endcap"
larStrHelp=LArStrHelper()
lArDQGlobals.febsBarrelA=[larStrHelp.febNameString(True,1,i_ft,i_slot) for i_ft in range_0_32 for i_slot in range_1_15]
lArDQGlobals.febsBarrelC=[larStrHelp.febNameString(True,0,i_ft,i_slot) for i_ft in range_0_32 for i_slot in range_1_15]
lArDQGlobals.febsEndcapA=[larStrHelp.febNameString(False,1,i_ft,i_slot) for i_ft in range_0_25 for i_slot in range_1_16]  
lArDQGlobals.febsEndcapC=[larStrHelp.febNameString(False,0,i_ft,i_slot) for i_ft in range_0_25 for i_slot in range_1_16]
#lArDQGlobals.febsBarrelA=[barrelString+"A"+feedthroughString+str(i_ft).zfill(2)+slotString+str(i_slot).zfill(2) for i_ft in range_0_32 for i_slot in range_1_15]
#lArDQGlobals.febsBarrelC=[barrelString+"C"+feedthroughString+str(i_ft).zfill(2)+slotString+str(i_slot).zfill(2) for i_ft in range_0_32 for i_slot in range_1_15]
#lArDQGlobals.febsEndcapA=[endcapString+"A"+feedthroughString+str(i_ft).zfill(2)+slotString+str(i_slot).zfill(2) for i_ft in range_0_25 for i_slot in range_1_16]
#lArDQGlobals.febsEndcapC=[endcapString+"C"+feedthroughString+str(i_ft).zfill(2)+slotString+str(i_slot).zfill(2) for i_ft in range_0_25 for i_slot in range_1_16]
 
 
#ROD ranges
lArDQGlobals.ROD_Crates={"EMBA":[1,4],"EMBC":[1,4],"EMECA":[1,3],"EMECC":[1,3],"HECA":[1],"HECC":[1],"FCalA":[1],"FCalC":[1]}
lArDQGlobals.ROD_Slots={"EMBA":[1,14],"EMBC":[1,14],"EMECA":[1,13],"EMECC":[1,13],"HECA":[1,6],"HECC":[1,6],"FCalA":[1,4],"FCalC":[1,4]}
 
#ROS ranges
lArDQGlobals.ROS_link={"EMBA":[0,31],"EMBC":[0,31],"EMECA":[0,24],"EMECC":[0,24],"HECA":[0,24],"HECC":[0,24],"FCalA":[0,24],"FCalC":[0,24]}
 
#FEB errors
lArDQGlobals.N_FEBErrors=13
lArDQGlobals.FEBErrors=["Parity","BCID","Sample Header","EVTID","SCAC status","Sca out of range","Gain mismatch","Type mismatch","# of samples","Empty data block","Checksum / block size","Missing header","Bad gain"]
 
#number of cells  
lArDQGlobals.TotalNcell=182468
 
#partitions
lArDQGlobals.N_Partitions=8
lArDQGlobals.Partitions=["EMBC","EMBA","EMECC","EMECA","HECC","HECA","FCalC","FCalA"]
lArDQGlobals.N_SubDet=4
lArDQGlobals.SubDet=["EMB","EMEC","HEC","FCal"]
lArDQGlobals.N_Gains=3
lArDQGlobals.Gains=["High Gain","Medium Gain","Low Gain"]
 
#digits summary
lArDQGlobals.N_DigitsSummary=4
lArDQGlobals.DigitsSummary=["OutOfRange","Saturation","Null Digits","Mean Time"]
 
#samples range
lArDQGlobals.Samples_Bins=33
lArDQGlobals.Samples_Min=-0.5
lArDQGlobals.Samples_Max=lArDQGlobals.Samples_Bins-0.5
 
#Samples
#check if any algo uses this lArDQGlobals.Sample_N_Min=0
#check if any algo uses this lArDQGlobals.Sample_N_Max=32
 
#Cell time (in ns) 
lArDQGlobals.Cell_Time_Min=-200
lArDQGlobals.Cell_Time_Max=200
 
#Energies ranges
lArDQGlobals.Emin=-20000.0
lArDQGlobals.Emax=20000.0
 
#Difference Energies
lArDQGlobals.DEmin=-512
lArDQGlobals.DEmax=512
 
#Qfactor range
lArDQGlobals.Qmin=0
lArDQGlobals.Qmax=6553
 
#Differences Q factor
lArDQGlobals.DQmin=-3000
lArDQGlobals.DQmax=1000
 
#Time ranges (ps)    
lArDQGlobals.Tmin=-80000
lArDQGlobals.Tmax=80000
 
#Time ranges (ps)
lArDQGlobals.Tmin=-80000
lArDQGlobals.Tmax=80000
 
#Diff Time ranges (ps)
lArDQGlobals.DTmin=-800
lArDQGlobals.DTmax=800
 
#ADC energy range
lArDQGlobals.Energy_Bins=300
lArDQGlobals.Energy_Min=0.
lArDQGlobals.Energy_Max=3000.
 
#Cell threshold ADC counts
lArDQGlobals.MaxCellThresholdADC=1900
 
#DSP  diff
lArDQGlobals.DSPEnergy_Bins=400
lArDQGlobals.DSPEnergy_Min=-40.
lArDQGlobals.DSPEnergy_Max=40.
lArDQGlobals.DSPTime_Bins=400
lArDQGlobals.DSPTime_Min=-800.
lArDQGlobals.DSPTime_Max=800.
lArDQGlobals.DSPQuality_Bins=400
lArDQGlobals.DSPQuality_Min=-3000.
lArDQGlobals.DSPQuality_Max=3000.
lArDQGlobals.DSP1Energy_Bins=5000
lArDQGlobals.DSP1Energy_Min=-515.
lArDQGlobals.DSP1Energy_Max=515.
lArDQGlobals.DSPRanges_Bins=4
lArDQGlobals.DSPRanges_Min=0
lArDQGlobals.DSPRanges_Max=4
lArDQGlobals.DSPRanges=["E < 2^{13} MeV","E < 2^{16} MeV","E < 2^{19} MeV","E < 2^{22} MeV"]
lArDQGlobals.DSPEonEoff_Bins=300
lArDQGlobals.DSPEonEoff_Max=20000.
lArDQGlobals.DSPTonToff_Bins=300
lArDQGlobals.DSPTonToff_Max=80000.
lArDQGlobals.DSPQonQoff_Bins=300
lArDQGlobals.DSPQonQoff_Max=66000.
lArDQGlobals.DSPThr_Bins=2000
 
#trigger word range
lArDQGlobals.L1Trig_Bins=256
lArDQGlobals.L1Trig_Min=-0.5
lArDQGlobals.L1Trig_Max=lArDQGlobals.L1Trig_Bins-0.5
 
#triggerWord
lArDQGlobals.TTriggerTypeMax=256
 
#Corruption errors
lArDQGlobals.CorruptionSource=["Parity","BCID Mismatch","Sample header","EVT ID","SCAC status","Sca out of range","Gain mismatch","Type mismatch","# of samples","Empty data block","Checksum /block size","Missing header","Bad gain"]
 
#Event types histo
lArDQGlobals.Evt_Bins = 15
lArDQGlobals.Evt_Min = -0.5
lArDQGlobals.Evt_Max = 14.5
lArDQGlobals.Evt_labels = ["","Raw data - Transparent","","Result - Physic","","","Calibration","","","Pedestals","","","","Raw data+Result"]
lArDQGlobals.EvtRej_Bins = 8 
lArDQGlobals.EvtRej_Min = 0
lArDQGlobals.EvtRej_Max = 8
lArDQGlobals.EvtRej_labels = [">=1 FEB in error",">=4 FEBs in error","LArError_DATACORRUPTED","LArError_DATACORRUPTEDNOVETO","LArError_DATACORRUPTEDVETO","LArError_NOISEBURSTVETO","Accepted","Total"]
 
lArDQGlobals.rejBits_Bins=8192
 
lArDQGlobals.defaultStreamNames = ["express","Main","CosmicCalo","L1Calo","L1Topo","ZeroBias","Standby","LArCells","LArCellsEmpty","Background","others"]
 
#NoisyRO
lArDQGlobals.noisyFEB_Bins=51
lArDQGlobals.noisyFEB_Min=-0.5
lArDQGlobals.noisyFEB_Max=50.5
 
#Creation of the dictionnary
lArDQGlobals.Cell_Variables={}
lArDQGlobals.Variables=["etaRange","phiRange","etaNbin", "phiNbin","etasize","etaCellSize","etaMin"]
lArDQGlobals.Layers=["0","1","2","3"]
for Variable in lArDQGlobals.Variables :
    lArDQGlobals.Cell_Variables[Variable]={}
    for sdet in lArDQGlobals.SubDet :
        lArDQGlobals.Cell_Variables[Variable][sdet]={}
        for Side in lArDQGlobals.Sides :
            lArDQGlobals.Cell_Variables[Variable][sdet][Side]={}
            for Layer in lArDQGlobals.Layers:
                lArDQGlobals.Cell_Variables[Variable][sdet][Side][Layer]=list()
 
#Number of Bins in phi
lArDQGlobals.Cell_Variables["phiNbin"]["EMB"]["A"]= {"0":64,"1":256,"2":256,"3":256}
lArDQGlobals.Cell_Variables["phiNbin"]["EMB"]["C"]= lArDQGlobals.Cell_Variables["phiNbin"]["EMB"]["A"]
 
lArDQGlobals.Cell_Variables["phiNbin"]["EMEC"]["A"]= {"0":64,"1":64,"2":256,"3":256}
lArDQGlobals.Cell_Variables["phiNbin"]["EMEC"]["C"]= lArDQGlobals.Cell_Variables["phiNbin"]["EMEC"]["A"]
 
lArDQGlobals.Cell_Variables["phiNbin"]["HEC"]["A"]= {"0":64,"1":64,"2":64,"3":64}
lArDQGlobals.Cell_Variables["phiNbin"]["HEC"]["C"]= lArDQGlobals.Cell_Variables["phiNbin"]["HEC"]["A"]
 
lArDQGlobals.Cell_Variables["phiNbin"]["FCal"]["A"]= {"1":16,"2":16,"3":16}
lArDQGlobals.Cell_Variables["phiNbin"]["FCal"]["C"]= lArDQGlobals.Cell_Variables["phiNbin"]["FCal"]["A"]
 
 
#Number of bins in eta in each range of cells (defining only for A side since C side is symmetric)
# https://edms.cern.ch/ui/file/1257047/1/OffMappingNote.pdf
# Table 2.1 
lArDQGlobals.Cell_Variables["etaNbin"]["EMB"]["A"]= {"0":[0,61],"1":[0,1,447,451],"2":[0,58,60],"3":[0, 27, 28]}
lArDQGlobals.Cell_Variables["etaMin" ]["EMB"]["A"]=    {"0":0.0,"1":0.0,"2":0.0,"3":0.0}
lArDQGlobals.Cell_Variables["etaCellSize"]["EMB"]["A"]={"0":[0.025],"1":[0.025/4,0.025/8,0.025],"2":[0.025,0.05],"3":[0.05, 0.125]}
 
# Table 3.1
lArDQGlobals.Cell_Variables["etaNbin"]["EMEC"]["A"]= {"0":[0,12],"1":[0,1,3,107,155,219,223,230],"2":[0,1,47,54],"3":[0,20]}
lArDQGlobals.Cell_Variables["etaMin" ]["EMEC"]["A"]= {"0":1.5,"1":1.375,"2":1.375,"3":1.5}
lArDQGlobals.Cell_Variables["etaCellSize"]["EMEC"]["A"]= {"0":[0.025],"1":[0.05,0.025,0.025/8,0.025/6,0.025/4,0.025,0.1],"2":[0.05,0.025,0.1],"3":[0.05]}
 
# Table 4.1
lArDQGlobals.Cell_Variables["etaNbin"]["HEC"]["A"]= {"0":[0,10,14],"1":[0,10,13],"2":[0,9,12],"3":[0,8,12]}
lArDQGlobals.Cell_Variables["etaMin" ]["HEC"]["A"]= {"0":1.5,"1":1.5,"2":1.6,"3":1.7}
lArDQGlobals.Cell_Variables["etaCellSize"]["HEC"]["A"]= {"0":[0.1,0.2],"1":[0.1,0.2],"2":[0.1,0.2],"3":[0.1,0.2]}
 
# Table 5.1
lArDQGlobals.Cell_Variables["etaNbin"]["FCal"]["A"]=    {"1":[0, 3, 9, 13, 15],"2":[0, 1, 4, 5, 6, 7, 10, 12, 13, 14, 17, 21, 25, 27, 28, 29, 30, 31],"3":[0,2,4,5,6,8]}#
lArDQGlobals.Cell_Variables["etaMin" ]["FCal"]["A"]=    {"1":3.08,"2":3.192,"3":3.27}
lArDQGlobals.Cell_Variables["etaCellSize"]["FCal"]["A"]= {"1":[0.04, 0.1, 0.2, 0.11],"2":[0.007, 0.0035, 0.008, 0.0005, 0.012, 0.01, 0.04, 0.03, 0.02, 0.043, 0.0125, 0.066, 0.132, 0.265, 0.135, 0.15, 0.16],"3":[0.08, 0.135, 0.21, 0.42, 0.21]}
 
 
 
for Layer in lArDQGlobals.Layers :
    for sdet in lArDQGlobals.SubDet:
        if sdet=="FCal": 
            if Layer=="0": #there's only fcal1, fcal2 and fcal3
                continue
            else:
                phi_range=range(lArDQGlobals.Cell_Variables["phiNbin"][sdet]["A"][Layer]+1)
                lArDQGlobals.Cell_Variables["phiRange"][sdet]["A"][Layer]=[-0.5+x for x in phi_range]
                lArDQGlobals.Cell_Variables["phiRange"][sdet]["C"]=lArDQGlobals.Cell_Variables["phiRange"][sdet]["A"]
        else: #all other partitions
            phi_range=range(lArDQGlobals.Cell_Variables["phiNbin"][sdet]["A"][Layer]+1)
            lArDQGlobals.Cell_Variables["phiRange"][sdet]["A"][Layer]=[-TMath.Pi()+ x*2*TMath.Pi()/lArDQGlobals.Cell_Variables["phiNbin"][sdet]["A"][Layer] for x in phi_range]
            lArDQGlobals.Cell_Variables["phiRange"][sdet]["C"]=lArDQGlobals.Cell_Variables["phiRange"][sdet]["A"]
            pass
        pass #partition loop
    pass #layer loop  
            
 
 
for sdet in lArDQGlobals.SubDet:
      for Lay in lArDQGlobals.Layers:
            if sdet=="FCal" and Lay=="0":
                  continue
            Ranges=lArDQGlobals.Cell_Variables["etaNbin"][sdet]["A"][Lay]
            Sizes=lArDQGlobals.Cell_Variables["etaCellSize"][sdet]["A"][Lay]
            if not len(Ranges)-len(Sizes)==1 :
                  print("Bad list of ranges and size please check")
                  continue
                  
            etamin=lArDQGlobals.Cell_Variables["etaMin"][sdet]["A"][Lay]
            currange=[etamin]
            for k in range(len(Ranges)-1) :
                  eta_range = range(1,Ranges[k+1]-Ranges[k]+1)
                  currange+=[round(currange[-1] + x * Sizes[k],5) for x in eta_range]
                  
                  lArDQGlobals.Cell_Variables["etaRange"][sdet]["A"][Lay]=currange
                  #The C side is just the symmeteric of the A side
                  lArDQGlobals.Cell_Variables["etaRange"][sdet]["C"][Lay] =list(map(lambda x: x*-1,lArDQGlobals.Cell_Variables["etaRange"][sdet]["A"][Lay]))[::-1]
 
 
lArDQGlobals.SuperCell_Variables={}
lArDQGlobals.Variables=["etaRange","phiRange","etaNbin", "phiNbin","etasize","etaCellSize","etaMin","phiMin"]
lArDQGlobals.Layers=["0","1","2","3"]
for Variable in lArDQGlobals.Variables :
    lArDQGlobals.SuperCell_Variables[Variable]={}
    for sdet in lArDQGlobals.SubDet :
        lArDQGlobals.SuperCell_Variables[Variable][sdet]={}
        for Side in lArDQGlobals.Sides :
            lArDQGlobals.SuperCell_Variables[Variable][sdet][Side]={}
            for Layer in lArDQGlobals.Layers:
                lArDQGlobals.SuperCell_Variables[Variable][sdet][Side][Layer]=list()
for Variable in ["etaRange","phiRange","phiNbin", "phiMin"]:
    lArDQGlobals.SuperCell_Variables[Variable]["All"] = {}
    lArDQGlobals.SuperCell_Variables[Variable]["All"]["All"]=list()
    for Layer in lArDQGlobals.Layers:
        lArDQGlobals.SuperCell_Variables[Variable]["All"][Layer]=list()
 
 
#Number of Bins in phi
lArDQGlobals.SuperCell_Variables["phiNbin"]["EMB"]["A"]= {"0":64,"1":64,"2":64,"3":64}
lArDQGlobals.SuperCell_Variables["phiNbin"]["EMB"]["C"]= lArDQGlobals.SuperCell_Variables["phiNbin"]["EMB"]["A"]
 
lArDQGlobals.SuperCell_Variables["phiNbin"]["EMEC"]["A"]= {"0":64,"1":64,"2":64,"3":64}
lArDQGlobals.SuperCell_Variables["phiNbin"]["EMEC"]["C"]= lArDQGlobals.SuperCell_Variables["phiNbin"]["EMEC"]["A"]
 
lArDQGlobals.SuperCell_Variables["phiNbin"]["HEC"]["A"]= {"0":64,"1":64,"2":64,"3":64}
lArDQGlobals.SuperCell_Variables["phiNbin"]["HEC"]["C"]= lArDQGlobals.SuperCell_Variables["phiNbin"]["HEC"]["A"]
 
lArDQGlobals.SuperCell_Variables["phiNbin"]["FCal"]["A"]= {"1":16,"2":16,"3":16}
lArDQGlobals.SuperCell_Variables["phiNbin"]["FCal"]["C"]= lArDQGlobals.SuperCell_Variables["phiNbin"]["FCal"]["A"]
 
lArDQGlobals.SuperCell_Variables["phiNbin"]["All"]= {"0":64,"1":64,"2":64,"3":64, "All":16}
lArDQGlobals.SuperCell_Variables["phiMin"]["All"] = {"0": -3.094550609588623, "1": -3.0960847139358521, "2": -3.0960847139358521, "3": -TMath.Pi(), "All": -TMath.Pi()}
 
#Number of bins in eta in each range of cells (defining only for A side since C side is symmetric)
# https://edms.cern.ch/ui/file/1257047/1/OffMappingNote.pdf
# Table 2.1 
lArDQGlobals.SuperCell_Variables["etaNbin"]["EMB"]["A"]= {"0":[0,14,15],"1":[0,59],"2":[0,56,57],"3":[0, 14]}
lArDQGlobals.SuperCell_Variables["etaMin" ]["EMB"]["A"]= {"0":0.0,"1":0.0,"2":0.0,"3":0.0}
lArDQGlobals.SuperCell_Variables["etaCellSize"]["EMB"]["A"]={"0":[0.1,0.12],"1":[0.025],"2":[0.025,0.075],"3":[0.1]}
 
# Table 3.1 -- Updated to assume IW layers are 2/3 rather than 1/2
lArDQGlobals.SuperCell_Variables["etaNbin"]["EMEC"]["A"]= {"0":[0,3],"1":[0,1,13,25,41,42],"2":[0,1,44,47,48],"3":[0,10,13,14]}
lArDQGlobals.SuperCell_Variables["etaMin" ]["EMEC"]["A"]= {"0":1.5,"1":1.375,"2":1.375,"3":1.5}
lArDQGlobals.SuperCell_Variables["etaCellSize"]["EMEC"]["A"]={"0":[0.1],"1":[0.125,0.025,0.1/6,0.025,0.1],"2":[0.05,0.025,0.2,0.1],"3":[0.1,0.2,0.1]}
 
# Table 4.1
lArDQGlobals.SuperCell_Variables["etaNbin"]["HEC"]["A"]= {"0":[0,10,14],"1":[0,10,14],"2":[0,10,14],"3":[0,10,14]}
lArDQGlobals.SuperCell_Variables["etaMin" ]["HEC"]["A"]=  {"0":1.5, "1":1.5, "2":1.5, "3":1.5}
lArDQGlobals.SuperCell_Variables["etaCellSize"]["HEC"]["A"]= {"0":[0.1,0.2],"1":[0.1,0.2],"2":[0.1,0.2],"3":[0.1,0.2]}
 
# Defined using Sven's binning manually
lArDQGlobals.SuperCell_Variables["etaRange"]["FCal"]["A"]["1"]=[3.10,3.20,3.30,3.37,3.45,3.55,3.6,3.65,3.80,3.9,3.972,4.30,4.50,4.66,4.90]  
lArDQGlobals.SuperCell_Variables["etaRange"]["FCal"]["A"]["2"]=[3.20,3.25,3.35,3.45,3.55,3.75,4.00,4.40,4.90] #Original
lArDQGlobals.SuperCell_Variables["etaRange"]["FCal"]["A"]["2"]=[3.20,3.24,3.25,3.35,3.45,3.55,3.65,3.75,4.00,4.40,4.90] #Adding more bins to remove overlap
lArDQGlobals.SuperCell_Variables["etaRange"]["FCal"]["A"]["3"]=[3.30,3.40,3.60,4.00,4.90]
 
#Filling Phi ranges
for Layer in lArDQGlobals.Layers :
    for sdet in lArDQGlobals.SubDet:
        if sdet=="FCal" and Layer == "0": #there's only fcal1, fcal2 and fcal3
            continue
        else: 
            phi_range=range(lArDQGlobals.SuperCell_Variables["phiNbin"][sdet]["A"][Layer]+1)
            lArDQGlobals.SuperCell_Variables["phiRange"][sdet]["A"][Layer]=[-TMath.Pi()+ x*2*TMath.Pi()/lArDQGlobals.SuperCell_Variables["phiNbin"][sdet]["A"][Layer] for x in phi_range]
        lArDQGlobals.SuperCell_Variables["phiRange"][sdet]["C"]=lArDQGlobals.SuperCell_Variables["phiRange"][sdet]["A"]
        pass #partition loop
    pass #layer loop
 
# Phi binning for Layer plots
for Layer in ["0","1","2","3","All"] :
     if Layer == "3" or Layer == "All": 
         phi_range=range(lArDQGlobals.SuperCell_Variables["phiNbin"]["All"][Layer]+1)
         lArDQGlobals.SuperCell_Variables["phiRange"]["All"][Layer]=[lArDQGlobals.SuperCell_Variables["phiMin"]["All"][Layer] + x*2*TMath.Pi()/lArDQGlobals.SuperCell_Variables["phiNbin"]["All"][Layer] for x in phi_range]
     else:  
         phi_range=range(lArDQGlobals.SuperCell_Variables["phiNbin"]["All"][Layer])
         phi_range1 = lArDQGlobals.SuperCell_Variables["phiRange"]["All"][Layer]=[lArDQGlobals.SuperCell_Variables["phiMin"]["All"][Layer] + x*2*TMath.Pi()/lArDQGlobals.SuperCell_Variables["phiNbin"]["All"][Layer] for x in phi_range]
         phi_range2 = [-1*x for x in phi_range1]
         lArDQGlobals.SuperCell_Variables["phiRange"]["All"][Layer] = sorted(phi_range1 + phi_range2)
 
#Filling Eta range with Sven's new binning 3/14/23
for sdet in lArDQGlobals.SubDet:
      for Lay in lArDQGlobals.Layers:
          if Lay not in lArDQGlobals.SuperCell_Variables["etaNbin"][sdet]["A"].keys(): continue
          if sdet=="FCal":
            lArDQGlobals.SuperCell_Variables["etaRange"][sdet]["C"][Lay] =list(map(lambda x: x*-1,lArDQGlobals.SuperCell_Variables["etaRange"][sdet]["A"][Lay]))[::-1]
          else:
            Ranges=lArDQGlobals.SuperCell_Variables["etaNbin"][sdet]["A"][Lay]
            Sizes=lArDQGlobals.SuperCell_Variables["etaCellSize"][sdet]["A"][Lay]
            if not len(Ranges)-len(Sizes)==1 :
                  print("Bad list of ranges and size please check")
                  continue
                  
            etamin=lArDQGlobals.SuperCell_Variables["etaMin"][sdet]["A"][Lay]
            currange=[etamin]
            for k in range(len(Ranges)-1) :
                  eta_range = range(1,Ranges[k+1]-Ranges[k]+1)
                  currange+=[round(currange[-1] + x * Sizes[k],5) for x in eta_range]
                  
                  lArDQGlobals.SuperCell_Variables["etaRange"][sdet]["A"][Lay]=currange
                  lArDQGlobals.SuperCell_Variables["etaRange"][sdet]["C"][Lay] =list(map(lambda x: x*-1,lArDQGlobals.SuperCell_Variables["etaRange"][sdet]["A"][Lay]))[::-1]
 
for layer in ["0","1","2","3"]:
    lArDQGlobals.SuperCell_Variables["etaRange"]["All"][layer] = sorted(list(set([item for sublist in [lArDQGlobals.SuperCell_Variables["etaRange"][det][side][layer] for det in ["EMB","EMEC","HEC","FCal"] for side in ["A","C"] if layer in lArDQGlobals.SuperCell_Variables["etaRange"][det][side].keys()] for item in sublist ])))
 
#Custom global eta bins
eta_range = sorted(list(set([item for sublist in [lArDQGlobals.SuperCell_Variables["etaRange"]["EMB"]["A"]["1"], lArDQGlobals.SuperCell_Variables["etaRange"]["EMEC"]["A"]["2"],lArDQGlobals.SuperCell_Variables["etaRange"]["HEC"]["A"]["0"],lArDQGlobals.SuperCell_Variables["etaRange"]["FCal"]["A"]["2"]] for item in sublist ])))
lArDQGlobals.SuperCell_Variables["etaRange"]["All"]["All"] = sorted(list(set(eta_range + [-1*x for x in eta_range])))
 
#CNF
lArDQGlobals.CNFN_tot = 80
lArDQGlobals.CNFXmin_tot = -400.
lArDQGlobals.CNFXmax_tot = 400.
lArDQGlobals.CNFN_ncoh = 120
lArDQGlobals.CNFXmin_ncoh = -40.
lArDQGlobals.CNFXmax_ncoh = 200.