ATLAS Offline Software
Functions
LArCellMonAlg Namespace Reference

Functions

def LArCellMonConfig (flags)
 
def LArCellMonConfigCore (helper, algclass, flags, isCosmics=False, TriggerStream='CosmicCalo', isMC=False, isOnline=False, algname='LArCellMonAlg')
 

Function Documentation

◆ LArCellMonConfig()

def LArCellMonAlg.LArCellMonConfig (   flags)

Definition at line 5 of file LArCellMonAlg.py.

5 def LArCellMonConfig(flags):
6 
7  from AthenaMonitoring.AthMonitorCfgHelper import AthMonitorCfgHelper
8  helper = AthMonitorCfgHelper(flags,'LArCellMonAlgCfg')
9 
10  from AthenaConfiguration.ComponentAccumulator import ComponentAccumulator
12 
13 
14  from LArGeoAlgsNV.LArGMConfig import LArGMCfg
15  cfg.merge(LArGMCfg(flags))
16  from TileGeoModel.TileGMConfig import TileGMCfg
17  cfg.merge(TileGMCfg(flags))
18 
19  from DetDescrCnvSvc.DetDescrCnvSvcConfig import DetDescrCnvSvcCfg
20  cfg.merge(DetDescrCnvSvcCfg(flags))
21 
22  from LArCellRec.LArCollisionTimeConfig import LArCollisionTimeCfg
23  cfg.merge(LArCollisionTimeCfg(flags))
24 
25  from CaloTools.CaloNoiseCondAlgConfig import CaloNoiseCondAlgCfg
26  cfg.merge(CaloNoiseCondAlgCfg(flags))
27 
28 
29  from AthenaConfiguration.ComponentFactory import CompFactory
30  lArCellMonAlg=CompFactory.LArCellMonAlg
31 
32  algname='LArCellMonAlg'
33  from AthenaConfiguration.Enums import BeamType
34  if flags.Beam.Type is BeamType.Cosmics:
35  algname=algname+'Cosmics'
36 
37  algo = LArCellMonConfigCore(helper, lArCellMonAlg, flags,
38  flags.Beam.Type is BeamType.Cosmics,
39  flags.Input.TriggerStream,
40  flags.Input.isMC, flags.Common.isOnline,
41  algname)
42  algo.useTrigger = flags.DQ.useTrigger
43 
44  #copied from LArCellMonTool
45  algo.rndmTriggerNames = "L1_RD0, L1_RD0_FILLED, L1_RD0_EMPTY, L1_RD1, L1_RD1_NOISE, L1_RD1_HIST, L1_RD1_BGRP4, L1_RD1_BGRP5"
46  algo.caloTriggerNames = "L1_EM[0-9]+, L1_HA[0-9]+, L1_J[0-9]+.*, L1_JB[0-9]+, L1_JF[0-9]+, L1_TE[0-9]+, L1_JE[0-9]+, L1_XE[0-9]+, L1_2EM[0-9]+, L1_2FJ[0-9]+, L1_2J[0-9]+,L1_3J[0-9]+.*,L1_4J[0-9]+.*,L1_5J[0-9]+,L1_6J[0-9]+,L1_FJ[0-9]+.*"
47  algo.minBiasTriggerNames = "L1_RD0_FILLED, L1_MBTS_1, L1_MBTS_2, L1_MBTS_1_1"
48  algo.metTriggerNames = "EF_xe[0-9]+.*"
49  algo.miscTriggerNames = ""
50 
51  from AthenaMonitoring.AtlasReadyFilterConfig import AtlasReadyFilterCfg
52  algo.ReadyFilterTool = cfg.popToolsAndMerge(AtlasReadyFilterCfg(flags))
53 
54  if not flags.Input.isMC:
55  from AthenaMonitoring.BadLBFilterToolConfig import LArBadLBFilterToolCfg
56  algo.BadLBTool=cfg.popToolsAndMerge(LArBadLBFilterToolCfg(flags))
57 
58  from LArBadChannelTool.LArBadChannelConfig import LArBadChannelCfg
59  cfg.merge(LArBadChannelCfg(flags))
60 
61  cfg.merge(helper.result())
62 
63  return cfg
64 
65 

◆ LArCellMonConfigCore()

def LArCellMonAlg.LArCellMonConfigCore (   helper,
  algclass,
  flags,
  isCosmics = False,
  TriggerStream = 'CosmicCalo',
  isMC = False,
  isOnline = False,
  algname = 'LArCellMonAlg' 
)

Definition at line 66 of file LArCellMonAlg.py.

66 def LArCellMonConfigCore(helper, algclass, flags, isCosmics=False, TriggerStream='CosmicCalo', isMC=False, isOnline=False, algname='LArCellMonAlg'):
67 
68 
69  LArCellMonAlg = helper.addAlgorithm(algclass, algname)
70 
71  if isCosmics:
72  badChanMaskProblems=["deadReadout","deadPhys","short","sporadicBurstNoise","highNoiseHG","highNoiseMG","highNoiseLG"]
73  else:
74  badChanMaskProblems=["deadReadout","deadPhys","almostDead","short","sporadicBurstNoise","unstableNoiseLG","unstableNoiseMG","unstableNoiseHG","highNoiseHG","highNoiseMG","highNoiseLG"]
75 
76  LArCellMonAlg.ProblemsToMask=badChanMaskProblems
77 
78  if not isCosmics and not isMC:
79  LArCellMonAlg.useReadyFilterTool=True
80  else:
81  LArCellMonAlg.useReadyFilterTool=False
82 
83  if isMC:
84  LArCellMonAlg.useBadLBTool=False
85  else:
86  LArCellMonAlg.useBadLBTool=True
87 
88  if isCosmics or TriggerStream!='physics_CosmicCalo':
89  LArCellMonAlg.useBeamBackgroundRemoval = False
90  LArCellMonAlg.useLArCollisionFilterTool = False
91  else:
92  LArCellMonAlg.useBeamBackgroundRemoval = True
93  LArCellMonAlg.useLArCollisionFilterTool = True
94 
95  if isOnline:
96  LArCellMonAlg.useLArNoisyAlg = False
97  else:
98  LArCellMonAlg.useLArNoisyAlg = True
99 
100  GroupName="LArCellMon"
101  LArCellMonAlg.MonGroupName = GroupName
102  LArCellMonAlg.MonGroupName_perJob = GroupName+"PerJob"
103  LArCellMonAlg.MonGroupName_OccupancyEtaPhi = GroupName+"_OccupancyEtaPhi"
104  LArCellMonAlg.MonGroupName_PercentageOccupancyEtaPhi = GroupName+"_PercentageOccupancyEtaPhi"
105  LArCellMonAlg.MonGroupName_OccupancyEta = GroupName+"_OccupancyEta"
106  LArCellMonAlg.MonGroupName_OccupancyPhi = GroupName+"_OccupancyPhi"
107  LArCellMonAlg.MonGroupName_TotEnergyEtaPhi = GroupName+"_TotEnergyEtaPhi"
108  LArCellMonAlg.MonGroupName_AvgQualityEtaPhi = GroupName+"_AvgQualityEtaPhi"
109  LArCellMonAlg.MonGroupName_FractionOverQthEtaPhi = GroupName+"_FractionOverQthEtaPhi"
110  LArCellMonAlg.MonGroupName_AvgTimeEtaPhi = GroupName+"_AvgTimeEtaPhi"
111  LArCellMonAlg.MonGroupName_FractionPastTthEtaPhi = GroupName+"_FractionPastTthEtaPhi"
112 
113 
114  LArCellMonAlg.EnableLumi = True
115 
116  LArCellMonAlg.Sporadic_switch = isCosmics
117 
118 
119  LArCellMonAlg.Threshold_EM_S0S1=5000.
120  LArCellMonAlg.Threshold_HECFCALEMS2S3=15000.
121 
122  from CaloMonitoring.LArCellBinning import lArCellBinningScheme
123 
124  binlabels=["TotalEvents","ATLAS Ready","with Good LAr LB","with No LAr Collision","with No Beam Background", "with No Trigger Filter","with No LArError"]
125 
126  # triggers to use
127  LArCellMonAlg.rndmTriggerNames = "L1_RD0, L1_RD0_FILLED, L1_RD0_EMPTY, L1_RD1, L1_RD1_NOISE, L1_RD1_HIST, L1_RD1_BGRP4, L1_RD1_BGRP5"
128  LArCellMonAlg.caloTriggerNames = "L1_EM[0-9]+, L1_HA[0-9]+, L1_J[0-9]+.*, L1_JB[0-9]+, L1_JF[0-9]+, L1_TE[0-9]+, L1_JE[0-9]+, L1_XE[0-9]+, L1_2EM[0-9]+, L1_2FJ[0-9]+, L1_2J[0-9]+,L1_3J[0-9]+.*,L1_4J[0-9]+.*,L1_5J[0-9]+,L1_6J[0-9]+,L1_FJ[0-9]+.*"
129  LArCellMonAlg.minBiasTriggerNames = "L1_RD0_FILLED, L1_MBTS_1, L1_MBTS_2, L1_MBTS_1_1"
130  LArCellMonAlg.metTriggerNames = "EF_xe[0-9]+.*"
131  LArCellMonAlg.miscTriggerNames = ""
132 
133  # Global Settings:
134 
135  # All 2D plot occupancy are activated only for some streams
136  if (isCosmics or TriggerStream=='physics_CosmicCalo' or TriggerStream=='express_express' or TriggerStream=='physics_Main' or TriggerStream=='physics_ZeroBias') or isOnline:
137  do2DOcc = True
138  else:
139  do2DOcc = False
140 
141  thresholdDict = {}
142  thresholdDict["ThresholdType"] = [ "noEth_CSCveto", "noEth_rndm_CSCveto", "medEth_CSCveto", "5Sigma_CSCveto", "hiEth_CSCveto", "hiEth_noVeto", "met_CSCveto" ]
143  thresholdDict["ThresholdDirection"] = [ "none" , "none" , "both" , "both" , "over" , "over" , "over" ]
144  thresholdDict["TriggersToInclude"] = [ "all" , "all" , "all" , "all" , "all" , "all" , "met" ]
145  thresholdDict["TriggersToExclude"] = [ "none" , "none" , "none" , "none" , "none" , "none" , "none" ]
146 
147  thresholdDict["DoPercentageOccupancy"] = [ True , False , True , False , False , False , False ]
148  thresholdDict["DoEtaPhiOccupancy"] = [ True , False , do2DOcc , do2DOcc,do2DOcc, do2DOcc , False ]
149  thresholdDict["DoEtaOccupancy"] = [ False , False , isCosmics , False , False , False , False ]
150  thresholdDict["DoPhiOccupancy"] = [ False , False , True , False , False , False , False ]
151 
152  thresholdDict["DoEtaPhiAverageEnergy"] = [ False , do2DOcc , False , do2DOcc , False , False , False ]
153  thresholdDict["DoEtaPhiTotalEnergy"] = [ False , False , False , False , False , False , False ]
154  thresholdDict["DoEtaPhiEnergyRMS"] = [ False , False , False , False , False , False , False ]
155  thresholdDict["DoEtaPhiRMSvsDBnoise"] = [ False , False , False , False , False , False , False ]
156 
157  thresholdDict["DoEtaPhiAverageQuality"] = [ False , False , False , False , False , False , False ]
158  thresholdDict["DoEtaPhiFractionOverQth"]= [ False , False , False , do2DOcc , do2DOcc , do2DOcc , False ]
159  thresholdDict["QualityFactorThreshold"] = [ 4000. ]*7
160 
161  thresholdDict["DoEtaPhiAverageTime"] = [ False , False , False , (not isCosmics) , False , False , False ]
162  thresholdDict["DoEtaPhiFractionPastTth"]= [ False , False , False , (not isCosmics) , False , False , False ]
163  thresholdDict["TimeThreshold"] = [ 4. ]*7
164  thresholdDict["ThresholdTitleTemplates"]= ["no Threshold",
165  "no Threshold",
166  "|E_{cell}| > %0.f#sigma_{noise}^{database}",
167  "E_{cell} beyond %0.f#sigma_{noise}^{database}",
168  "E_{cell} > %0.f MeV",
169  "E_{cell} > %0.f MeV",
170  "E_{cell} > %0.f MeV, MET trigger"]
171 
172  thresholdDict["DefaultThresholds"] = [-4000000.,-4000000. , 3. , 5. , 500. , 500. , 1000. ]
173  thresholdDict["ThresholdinSigNoise"] = [ False , False , True , True , False , False , False ]
174 
175 
176  #check that thresholds are set properly before passing them to the algorithm
177  nthr = len(thresholdDict["ThresholdType"])
178  if not all(len(thrProp)==nthr for thrProp in thresholdDict.values()):
179  from AthenaCommon.Logging import logging
180  mlog = logging.getLogger( 'LArCellMonLog' )
181  mlog.error("LArCellMonAlg:: CONFIGURATION ERROR, threshold properties have different lenght. Please check CaloMonitoring/python/LArCellMonAlg.py")
182  exit(1)
183  pass
184 
185 
186  LArCellMonAlg.ThresholdType = thresholdDict["ThresholdType"]
187 
188  LArCellMonAlg.ThresholdDirection = thresholdDict["ThresholdDirection"]
189  LArCellMonAlg.TriggersToInclude = thresholdDict["TriggersToInclude"]
190  LArCellMonAlg.TriggersToExclude = thresholdDict["TriggersToExclude"]
191 
192  LArCellMonAlg.QualityFactorThreshold = thresholdDict["QualityFactorThreshold"]
193 
194  LArCellMonAlg.TimeThreshold = thresholdDict["TimeThreshold"]
195 
196  LArCellMonAlg.DoBeamBackgroundRemoval=[( "CSCveto" in thr ) for thr in thresholdDict["ThresholdType"]]
197 
198  # Defaults: (Can be over ridden by layer specific values) ; plots will be made for all layers with DefaultThreshold != -9999999
199  LArCellMonAlg.ThresholdTitleTemplates= thresholdDict["ThresholdTitleTemplates"]
200 
201  LArCellMonAlg.DefaultThresholds = thresholdDict["DefaultThresholds"]
202  LArCellMonAlg.ThresholdinSigNoise = thresholdDict["ThresholdinSigNoise"]
203 
204  LArCellMonAlg.ThresholdColumnType = ["hiEth_CSCveto", "hiEth_noVeto"]
205  # EMB
206  LArCellMonAlg.EMBP_Thresh = [ 800. , 800. ]
207  LArCellMonAlg.EMB1_Thresh = [ 600. , 600. ]
208  LArCellMonAlg.EMB2_Thresh = [ 600. , 600. ]
209  LArCellMonAlg.EMB3_Thresh = [ 600. , 600. ]
210  # EMEC
211  LArCellMonAlg.EMECP_Thresh = [ 1200. , 1200. ]
212  LArCellMonAlg.EMEC1_Thresh = [ 800. , 800. ]
213  LArCellMonAlg.EMEC2_Thresh = [ 800. , 800. ]
214  LArCellMonAlg.EMEC3_Thresh = [ 800. , 800. ]
215  # HEC
216  LArCellMonAlg.HEC0_Thresh = [ 4000. , 4000. ]
217  LArCellMonAlg.HEC1_Thresh = [ 4000. , 4000. ]
218  LArCellMonAlg.HEC2_Thresh = [ 4000. , 4000. ]
219  LArCellMonAlg.HEC3_Thresh = [ 4000. , 4000. ]
220  # FCAL
221  LArCellMonAlg.FCAL1_Thresh = [ 6000. , 6000. ]
222  LArCellMonAlg.FCAL2_Thresh = [ 6000. , 6000. ]
223  LArCellMonAlg.FCAL3_Thresh = [ 6000. , 6000. ]
224 
225  #set the string arrays for the groups
226  LArCellMonAlg.DoEtaPhiTotalOccupancyNames=[thr for i_thr,thr in enumerate(thresholdDict["ThresholdType"]) if ( thresholdDict["DoEtaPhiOccupancy"][i_thr] and not thresholdDict["DoPercentageOccupancy"][i_thr] )
227  or thresholdDict["DoEtaPhiAverageEnergy"][i_thr]
228  or thresholdDict["DoEtaPhiAverageQuality"][i_thr]
229  or thresholdDict["DoEtaPhiAverageTime"][i_thr]]
230 
231  LArCellMonAlg.DoEtaPhiPercentageOccupancyNames=[thr for i_thr,thr in enumerate(thresholdDict["ThresholdType"]) if thresholdDict["DoEtaPhiOccupancy"][i_thr] and thresholdDict["DoPercentageOccupancy"][i_thr]]
232 
233  LArCellMonAlg.DoEtaOccupancyNames=[thr for i_thr,thr in enumerate(thresholdDict["ThresholdType"]) if thresholdDict["DoEtaOccupancy"][i_thr]]
234  LArCellMonAlg.DoPhiOccupancyNames=[thr for i_thr,thr in enumerate(thresholdDict["ThresholdType"]) if thresholdDict["DoPhiOccupancy"][i_thr]]
235  LArCellMonAlg.DoEtaPhiTotEnergyNames=[thr for i_thr,thr in enumerate(thresholdDict["ThresholdType"]) if thresholdDict["DoEtaPhiTotalEnergy"][i_thr] or thresholdDict["DoEtaPhiAverageEnergy"][i_thr]]
236  LArCellMonAlg.DoEtaPhiAvgQualityNames=[thr for i_thr,thr in enumerate(thresholdDict["ThresholdType"]) if thresholdDict["DoEtaPhiAverageQuality"][i_thr]]
237  LArCellMonAlg.DoEtaPhiFractionOverQthNames=[thr for i_thr,thr in enumerate(thresholdDict["ThresholdType"]) if thresholdDict["DoEtaPhiFractionOverQth"][i_thr]]
238  LArCellMonAlg.DoEtaPhiAvgTimeNames=[thr for i_thr,thr in enumerate(thresholdDict["ThresholdType"]) if thresholdDict["DoEtaPhiAverageTime"][i_thr]]
239  LArCellMonAlg.DoEtaPhiFractionPastTthNames=[thr for i_thr,thr in enumerate(thresholdDict["ThresholdType"]) if thresholdDict["DoEtaPhiFractionPastTth"][i_thr]]
240 
241  #---Groups and arrays
242 
243 
244 #FIXME: need option to switch between weightedEfficiency and weightedAverage (depends on when the average is computed: if post-processing is done after merging, I don't want 'weightedMerge' options, otherwise I do. Not implemented for now)
245 
246  #---single Group for non threshold histograms
247  cellMonGroup = helper.addGroup(
248  LArCellMonAlg,
249  GroupName,
250  '/CaloMonitoring/LArCellMon_NoTrigSel/'
251 
252  )
253 
254 
255  #--define histograms
256  # Summary
257  summ_hist_path='Summary/'
258 
259  from CaloMonitoring.CaloMonAlgBase import CaloBaseHistConfig
260  CaloBaseHistConfig(cellMonGroup,summ_hist_path,binlabels)
261 
262  cellMonGroup.defineHistogram('trigType;nEvtsByTrigger',
263  title='Total Events: bin 0, RNDM Trigger: 1, Calo Trigger: 2, MinBias Trigger: 3, MET Trigger: 4, Misc Trigger: 5, Events Selected for Noise Plots: 6 ',
264  type='TH1I', path=summ_hist_path,
265  xbins=lArCellBinningScheme.larCellSummary["xbins"][0], xmin=lArCellBinningScheme.larCellSummary["xbins"][1], xmax=lArCellBinningScheme.larCellSummary["xbins"][2],
266  xlabels=lArCellBinningScheme.larCellSummary["xlabels"])
267 
268  #total events, saved if percentage occupancy is required
269  cellMonGroup.defineHistogram('eventCounter;nEvtsPerThreshold',
270  title='Events events passed Trigger and Background removal for each threshold (for normalisation)',
271  type='TH1I', path=summ_hist_path,
272  xbins=len(thresholdDict["ThresholdType"]),xmin=-0.5, xmax=(len(thresholdDict["ThresholdType"])-0.5),
273  xlabels=thresholdDict["ThresholdType"])
274 
275  # En.
276  LArCellMonAlg.doUnnormalized1DEnergy=True
277  energy_hist_path='Energy/'
278  if not isCosmics:
279  for part in LArCellMonAlg.LayerNames:
280  cellMonGroup.defineHistogram('cellEnergy_nocuts_'+part+';CellEnergy_'+part,
281  title='Cell Energy in ' +part+' with CSC veto;Cell Energy [MeV];Cell Events',
282  type='TH1F', path=energy_hist_path,
283  xbins=lArCellBinningScheme.logEnergyBins)
284  pass
285  elif isCosmics:
286  for part in LArCellMonAlg.LayerNames:
287  cellMonGroup.defineHistogram('cellEnergy_nocuts_'+part+';CellEnergy_'+part,
288  title='Cell Energy in ' +part+' with CSC veto;Cell Energy [MeV];Cell Events',
289  type='TH1F', path=energy_hist_path,
290  xbins=lArCellBinningScheme.cosmicEneBinning[part][0], xmin=lArCellBinningScheme.cosmicEneBinning[part][1], xmax=lArCellBinningScheme.cosmicEneBinning[part][2])
291  pass
292  else:
293  for part in LArCellMonAlg.LayerNames:
294  cellMonGroup.defineHistogram('cellEnergy_nocuts_'+part+';CellEnergy_'+part,
295  title='Cell Energy in ' +part+' with CSC veto;Cell Energy [MeV];Cell Events',
296  type='TH1F', path=energy_hist_path,
297  xbins=lArCellBinningScheme.defaultEnergyBins[0],xmin=lArCellBinningScheme.defaultEnergyBins[1],xmax=lArCellBinningScheme.defaultEnergyBins[2])
298  pass
299 
300  #En vs. Time
301  energyvstime_hist_path='EnergyVsTime/'
302 
303 # eCutForTiming = [1000., 1000., 3000., 1500., 3500., 3500., 3500., 3500., 1500., 3000., 3000., 2000., 10000., 10000., 10000.]
304  eCutForTiming = LArCellMonAlg.EcutForTiming #taken from the values hardcoded in the .h, only way to prevent mixing everything up with the enum in the code
305  idx=0
306  for part in LArCellMonAlg.LayerNames:
307  cellMonGroup.defineHistogram('cellTime_'+part+',cellEnergy_'+part+';CellEnergyVsTime_'+part,
308  title='Cell Energy vs Cell Time in '+part+' with CSC veto;Cell Time [ns];Cell Energy [MeV]',
309  type='TH2F', path=energyvstime_hist_path,
310  xbins=lArCellBinningScheme.timescale, ybins=lArCellBinningScheme.energyscale)
311 
312  cellMonGroup.defineHistogram('cellTime_'+part+';CellEnergyVsTime_'+part+'_'+str(int(eCutForTiming[idx//2])),
313  title='Cell Energy vs Cell Time in '+part+' with CSC veto - Cell Time (E>'+str(int(eCutForTiming[idx//2]))+' [MeV]);Cell Time [ns]; NEvents',
314  weight='cellEnergy_'+part,
315  cutmask='enGreaterThanCut_'+part,
316  type='TH1F', path=energyvstime_hist_path,
317  xbins=lArCellBinningScheme.timescale)
318  idx=idx+1
319  pass
320 
321 
322  cellMonGroupPerJob = helper.addGroup(
323  LArCellMonAlg,
324  LArCellMonAlg.MonGroupName_perJob,
325  '/CaloMonitoring/LArCellMon_NoTrigSel/'
326  )
327 
328  LArCellMonAlg.doKnownBadChannelsVsEtaPhi = True
329  LArCellMonAlg.doDatabaseNoiseVsEtaPhi = True
330 
331  for part in LArCellMonAlg.LayerNames:
332  cellMonGroupPerJob.defineHistogram('celleta_'+part+',cellphi_'+part+';KnownBadChannelsVsEtaPhi_'+part,
333  title="Map of known bad channels in (#eta,#phi) for "+part+";cell #eta;cell #phi",
334  weight='badCellWord_'+part,
335  cutmask='fillBadChannelPlot',
336  type='TH2F', path="KnownBadChannels/",
337  xbins = lArCellBinningScheme.etaRange[part],
338  ybins = lArCellBinningScheme.phiRange[part],
339  merge='weightedAverage'
340 )
341 
342  cellMonGroupPerJob.defineHistogram('celleta_'+part+',cellphi_'+part+';DatabaseNoiseVsEtaPhi_'+part,
343  title="Map of Noise Values from the Database vs (#eta,#phi) for "+part+";cell #eta;cell #phi",
344  weight='cellnoisedb_'+part,
345  cutmask='doDatabaseNoisePlot',
346  type='TH2F', path="DatabaseNoise/",
347  xbins = lArCellBinningScheme.etaRange[part],
348  ybins = lArCellBinningScheme.phiRange[part],
349  merge='weightedAverage')
350 
351  cellMonGroupPerJob.defineHistogram('celleta_'+part+';NCellsActiveVsEta_'+part,
352  title="No. of Active Cells in #eta for "+part+";cell #eta",
353  cutmask='doCellsActiveEtaPlot',
354  type='TH1F', path="ActiveCells/",
355  xbins = lArCellBinningScheme.etaRange[part],
356  merge='weightedAverage')
357 
358  cellMonGroupPerJob.defineHistogram('cellphi_'+part+';NCellsActiveVsPhi_'+part,
359  title="No. of Active Cells in #phi for "+part+";cell #phi",
360  cutmask='doCellsActivePhiPlot',
361  type='TH1F', path="ActiveCells/",
362  xbins = lArCellBinningScheme.phiRange[part],
363  merge='weightedAverage')
364 
365 
366  pass #part loop
367 
368  #--- group array for threshold dependent histograms
369  allMonArray = helper.addArray([LArCellMonAlg.LayerNames, LArCellMonAlg.ThresholdType], LArCellMonAlg, "allMon",
370  "/CaloMonitoring/LArCellMon_NoTrigSel/")
371 
372  allMonArray.defineHistogram('dummy', type='TH1F', xbins=1, xmin=0, xmax=1) # dummy to have at least 1 plot defined
373 
374  #now histograms
375  for part in LArCellMonAlg.LayerNames:
376 
377  allMonArray.defineHistogram('celleta,cellphi;CellOccupancyVsEtaPhi',
378  title='No. of events in (#eta,#phi) for '+part+';cell #eta;cell #phi',
379  type='TH2F', path="2d_Occupancy/",
380  cutmask='passThrCut',
381  xbins = lArCellBinningScheme.etaRange[part],
382  ybins = lArCellBinningScheme.phiRange[part],
383  pattern=[(part, _) for _ in LArCellMonAlg.DoEtaPhiTotalOccupancyNames])
384 
385  allMonArray.defineHistogram('celleta;RAW_CellOccupancyVsEta', #needs weightedAverage/weightedEff
386  title='No. of events in (#eta) for '+part+';cell #eta;',
387  type='TH1F', path="1d_Occupancy/",
388  cutmask='passThrCut',
389  xbins = lArCellBinningScheme.etaRange[part],
390  pattern=[(part, _) for _ in LArCellMonAlg.DoEtaOccupancyNames])
391 
392  allMonArray.defineHistogram('cellphi;RAW_CellOccupancyVsPhi',
393  title='No. of events in (#phi) for '+part+';cell #phi;',
394  type='TH1F', path="1d_Occupancy/",
395  cutmask='passThrCut',
396  xbins = lArCellBinningScheme.phiRange[part],
397  pattern=[(part, _) for _ in LArCellMonAlg.DoPhiOccupancyNames])
398 
399  allMonArray.defineHistogram('celleta,cellphi;TotalEnergyVsEtaPhi',
400  title="Total Cell Energy vs (#eta,#phi) in "+part+";cell #eta;cell #phi",
401  weight='cellEnergy',
402  type='TH2D', path="2d_TotalEnergy/",
403  cutmask='passThrCut',
404  xbins = lArCellBinningScheme.etaRange[part],
405  ybins = lArCellBinningScheme.phiRange[part],
406  pattern=[(part, _) for _ in LArCellMonAlg.DoEtaPhiTotEnergyNames])
407 
408  allMonArray.defineHistogram('celleta,cellphi;TotalQualityVsEtaPhi',
409  title="Cell Quality vs (#eta,#phi) in "+part+";cell #eta;cell #phi",
410  weight='cellQuality',
411  type='TH2F', path="2d_AvgQuality/", #needs to be divided by '2D_occupancy' at post processing stage
412  cutmask='passThrCut',
413  xbins = lArCellBinningScheme.etaRange[part],
414  ybins = lArCellBinningScheme.phiRange[part],
415  pattern=[(part, _) for _ in LArCellMonAlg.DoEtaPhiAvgQualityNames])
416 
417  allMonArray.defineHistogram('celleta,cellphi;TotalTimeVsEtaPhi',
418  title="Cell Time vs (#eta,#phi) in "+part+";cell #eta;cell #phi",
419  weight='cellTime',
420  type='TH2F', path="2d_AvgTime/", #needs to be divided by '2D_occupancy' at post processing stage
421  cutmask='passThrCut',
422  xbins = lArCellBinningScheme.etaRange[part],
423  ybins = lArCellBinningScheme.phiRange[part],
424  pattern=[(part, _) for _ in LArCellMonAlg.DoEtaPhiAvgTimeNames])
425 
426  allMonArray.defineHistogram('celleta,cellphi;RAW_fractionOverQthVsEtaPhi',
427  title="Fraction of Events in "+part+" for which the Quality Factor exceeds Threshold;cell #eta;cell #phi",
428  weight='isPoorQuality',
429  type='TH2F', path="2d_PoorQualityFraction/", # needs postprocessing
430  cutmask='passThrCut',
431  xbins = lArCellBinningScheme.etaRange[part],
432  ybins = lArCellBinningScheme.phiRange[part],
433  pattern=[(part, _) for _ in LArCellMonAlg.DoEtaPhiFractionOverQthNames])
434 
435  allMonArray.defineHistogram('celleta,cellphi;RAW_fractionPastTthVsEtaPhi',
436  title="Fraction of Events in "+part+" for which the Time is further than Threshold;cell #eta;cell #phi",
437  weight='isLateTime',
438  type='TH2F', path="2d_FractionOutOfTime/", # needs postprocessing
439  cutmask='passThrCut',
440  xbins = lArCellBinningScheme.etaRange[part],
441  ybins = lArCellBinningScheme.phiRange[part],
442  pattern=[(part, _) for _ in LArCellMonAlg.DoEtaPhiFractionPastTthNames])
443 
444  pass #part loop for occupancy
445 
446 
447 
448  #-- TTree for sporadic
449  if LArCellMonAlg.Sporadic_switch:
450  sporadic_hist_path='/Sporadic_'+str(LArCellMonAlg.Threshold_EM_S0S1)+'*1e-3_'+str(LArCellMonAlg.Threshold_HECFCALEMS2S3)+'*1e-3GeV/'
451  cellMonGroup.defineTree('sporadicCellE,sporadicCellTime,sporadicCellQuality,sporadicCellID,lumiBlock,adoptedEThreshold;SporadicNoisyCellsTree', path=sporadic_hist_path,
452  treedef='sporadicCellE/F:sporadicCellTime/F:sporadicCellQuality/s:sporadicCellID/l:lumiBlock/i')
453 
454  return LArCellMonAlg
455 
456 
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