ATLAS Offline Software
Functions
TileCellMonitorAlgorithm Namespace Reference

Functions

def TileCellMonitoringConfig (flags, **kwargs)
 

Function Documentation

◆ TileCellMonitoringConfig()

def TileCellMonitorAlgorithm.TileCellMonitoringConfig (   flags,
**  kwargs 
) 
Function to configure TileCellMonitorAlgorithm algorithm in the monitoring system.

Definition at line 8 of file TileCellMonitorAlgorithm.py.

8 def TileCellMonitoringConfig(flags, **kwargs):
9 
10  ''' Function to configure TileCellMonitorAlgorithm algorithm in the monitoring system.'''
11 
12  # Define one top-level monitoring algorithm. The new configuration
13  # framework uses a component accumulator.
14  from AthenaConfiguration.ComponentAccumulator import ComponentAccumulator
15  result = ComponentAccumulator()
16 
17  from TileRecUtils.TileDQstatusConfig import TileDQstatusAlgCfg
18  result.merge( TileDQstatusAlgCfg(flags) )
19 
20  from TileGeoModel.TileGMConfig import TileGMCfg
21  result.merge(TileGMCfg(flags))
22 
23  from LArGeoAlgsNV.LArGMConfig import LArGMCfg
24  result.merge(LArGMCfg(flags))
25 
26  from TileConditions.TileCablingSvcConfig import TileCablingSvcCfg
27  result.merge( TileCablingSvcCfg(flags) )
28 
29  from TileConditions.TileBadChannelsConfig import TileBadChannelsCondAlgCfg
30  result.merge( TileBadChannelsCondAlgCfg(flags) )
31 
32  # The following class will make a sequence, configure algorithms, and link
33  # them to GenericMonitoringTools
34  from AthenaMonitoring import AthMonitorCfgHelper
35  helper = AthMonitorCfgHelper(flags,'TileMonitoring')
36 
37  # Adding an TileCellMonitorAlgorithm algorithm to the helper
38  from AthenaConfiguration.ComponentFactory import CompFactory
39  tileCellMonAlg = helper.addAlgorithm(CompFactory.TileCellMonitorAlgorithm, 'TileCellMonAlg')
40 
41  tileCellMonAlg.TriggerChain = ''
42 
43  from AthenaCommon.SystemOfUnits import MeV, GeV, ns
44  kwargs.setdefault('EnergyThreshold', 300.0 * MeV)
45  kwargs.setdefault('EnergyThresholdForGain', [10 * GeV, 300.0 * MeV])
46  kwargs.setdefault('NegativeEnergyThreshold', -2000.0 * MeV)
47  kwargs.setdefault('EnergyBalanceThreshold', 3)
48  kwargs.setdefault('TimeBalanceThreshold', 25 * ns)
49  kwargs.setdefault('EnergyThresholdForGapScintilator', 0 * MeV)
50  kwargs.setdefault('fillChannelTimeHistograms', True)
51  kwargs.setdefault('fillTimeAndEnergyDiffHistograms', flags.Common.isOnline)
52  kwargs.setdefault('fillGapScintilatorHistograms', False)
53  kwargs.setdefault('EnergyLimitForTime', 750.0 * GeV)
54 
55  from AthenaConfiguration.Enums import BeamType
56  if flags.Beam.Type in [BeamType.Cosmics, BeamType.SingleBeam]:
57  kwargs.setdefault('fillTimeHistograms', True)
58  kwargs.setdefault('EnergyThresholdForTime', 150.0 * MeV)
59  else:
60  kwargs.setdefault('fillTimeHistograms', False)
61  kwargs.setdefault('EnergyThresholdForTime', 500.0 * MeV)
62 
63  # L1Trigger Type Bits:
64  # bit0_RNDM, bit1_ZeroBias, bit2_L1Cal, bit3_Muon,
65  # bit4_RPC, bit5_FTK, bit6_CTP, bit7_Calib, AnyPhysTrig
66  kwargs.setdefault('fillHistogramsForL1Triggers', ['AnyPhysTrig', 'bit7_Calib'])
67  l1Triggers = kwargs['fillHistogramsForL1Triggers']
68 
69  for k, v in kwargs.items():
70  setattr(tileCellMonAlg, k, v)
71 
72  run = str(flags.Input.RunNumbers[0])
73 
74  # 1) Configure histogram with TileCellMonAlg algorithm execution time
75  executeTimeGroup = helper.addGroup(tileCellMonAlg, 'TileCellMonExecuteTime', 'Tile/')
76  executeTimeGroup.defineHistogram('TIME_execute', path = 'Cell', type='TH1F',
77  title = 'Time for execute TileCellMonAlg algorithm;time [#mus]',
78  xbins = 100, xmin = 0, xmax = 100000)
79 
80 
81  from TileCalibBlobObjs.Classes import TileCalibUtils as Tile
82  from TileMonitoring.TileMonitoringCfgHelper import getPartitionName, getGainName
83 
84  # 2) Configure histogram with average number of Tile bad cells in partition
85  labelsPartitions = [getPartitionName(ros) for ros in range(1, Tile.MAX_ROS)]
86  badCellGroup = helper.addGroup(tileCellMonAlg, 'TileBadCell', 'Tile/')
87  badCellGroup.defineHistogram('Partition,nBadCells;TileBadCell', path = 'Cell', type='TProfile',
88  xlabels = labelsPartitions, title = ('Run %s: Average number of Bad Tile Cells' % run),
89  xbins = Tile.MAX_ROS - 1, xmin = -0.5, xmax = Tile.MAX_ROS - 1.5)
90 
91 
92  from TileMonitoring.TileMonitoringCfgHelper import addTileModulePartitionMapsArray
93 
94  # 3) Configure histograms with energy ratio > threshold vs module and partion
95  eneBalModPartTitle = ('Tile Cell Energy Ratio > %s' % kwargs['EnergyBalanceThreshold'])
96  addTileModulePartitionMapsArray(helper, tileCellMonAlg, name = 'TileCellEneBalModPart',
97  title = eneBalModPartTitle, path = 'Tile/Cell', type='TH2D',
98  run = run, triggers = l1Triggers, separator = '_')
99 
100  # 4) Configure histograms with Tile cell time difference over threshold vs module and partition
101  timeBalModPartTitle = ('Tile Cell Time difference > %s ns. E_{ch} > %s [MeV]')
102  timeBalModPartTitle = (timeBalModPartTitle % (kwargs['TimeBalanceThreshold'], kwargs['EnergyThresholdForTime']))
103  addTileModulePartitionMapsArray(helper, tileCellMonAlg, name = 'TileCellTimeBalModPart',
104  title = timeBalModPartTitle, path = 'Tile/Cell', type='TH2D',
105  run = run, triggers = l1Triggers, separator = '_')
106 
107 
108  from TileMonitoring.TileMonitoringCfgHelper import addTileModuleChannelMapsArray, addTileModuleDigitizerMapsArray
109 
110  # 5) Configure histograms with everagy Tile channel time per partition
111  chanTimeTitle = ('TileCal Average Channel Time [ns]. E_{ch} > %s MeV' % kwargs['EnergyThresholdForTime'])
112  addTileModuleChannelMapsArray(helper, tileCellMonAlg, name = 'TileChanPartTime', type='TProfile2D',
113  value = 'time', title = chanTimeTitle, path = 'Tile/Cell',
114  subDirectory = True, run = run, triggers = l1Triggers, separator = '_')
115 
116  # 6) Configure histograms with everagy Tile digitizer time per partition
117  digiTimeTitle = ('TileCal Average Digitizer Time [ns]. E_{ch} > %s MeV' % kwargs['EnergyThresholdForTime'])
118  addTileModuleDigitizerMapsArray(helper, tileCellMonAlg, name = 'TileDigiPartTime', type='TProfile2D',
119  value = 'time', title = digiTimeTitle, path = 'Tile/Cell',
120  subDirectory = True, run = run, triggers = l1Triggers, separator = '_')
121 
122 
123  # 7) Configure histograms with average energy maps per partition
124  addTileModuleChannelMapsArray(helper, tileCellMonAlg, name = 'TileCellDetailOccMap', type='TProfile2D',
125  value = 'energy', title = 'Occupancy Map [MeV]', path = 'Tile/Cell',
126  subDirectory = True, run = run, triggers = l1Triggers, separator = '_')
127 
128 
129  # 7.2) Configure histograms with average energy maps per partition and gain
130  addTileModuleChannelMapsArray(helper, tileCellMonAlg, name = 'TileCellDetailOccMapGain', type='TProfile2D',
131  value = 'energy', title = 'Occupancy Map [MeV]', path = 'Tile/Cell',
132  subDirectory = True, run = run, triggers = l1Triggers, perGain = True, separator = '_')
133 
134 
135  # 8) Configure histograms with occupancy maps over threshold per partition
136  titleMapOvThr = ('Occupancy Map Over Threshod %s MeV' % kwargs['EnergyThreshold'])
137  addTileModuleChannelMapsArray(helper, tileCellMonAlg, name = 'TileCellDetailOccMapOvThr',
138  weight = 'weight', title = titleMapOvThr, path = 'Tile/Cell',
139  subDirectory = True, run = run, triggers = l1Triggers, separator = '_')
140 
141 
142  # 9) Configure histograms with occupancy maps over threshold 30GeV per partition
143  addTileModuleChannelMapsArray(helper, tileCellMonAlg, name = 'TileCellDetailOccMapOvThr30GeV',
144  title = 'Occupancy Map Over Threshod 30 GeV', path = 'Tile/Cell',
145  subDirectory = True, run = run, triggers = l1Triggers, separator = '_')
146 
147 
148  # 10) Configure histograms with occupancy maps over threshold 300GeV per partition
149  addTileModuleChannelMapsArray(helper, tileCellMonAlg, name = 'TileCellDetailOccMapOvThr300GeV',
150  title = 'Occupancy Map Over Threshod 300 GeV', path = 'Tile/Cell',
151  subDirectory = True, run = run, triggers = l1Triggers, separator = '_')
152 
153  # ) Configure histograms with Tile cell energy difference maps per partition
154  addTileModuleChannelMapsArray(helper, tileCellMonAlg, name = 'TileCellEneDiffChanMod',
155  title = 'Tile Cell energy difference between PMTs [MeV]', path = 'Tile/Cell',
156  subDirectory = True, type = 'TProfile2D', value = 'energyDiff',
157  run = run, triggers = l1Triggers, separator = '_')
158 
159  # 11) Configure histograms with occupancy maps over threshold per partition
160  titleMapOvThrGain = {}
161  for gain in range(0, Tile.MAX_GAIN):
162  gainName = getGainName(gain)
163  energyThresholdForGain = kwargs['EnergyThresholdForGain'][gain]
164  energyThreshold = f'{energyThresholdForGain} MeV' if energyThresholdForGain < 1000.0 else f'{energyThresholdForGain/GeV} GeV'
165  titleMapOvThrGain[gainName] = f'Occupancy Map Over Threshod {energyThreshold}'
166  addTileModuleChannelMapsArray(helper, tileCellMonAlg, name = 'TileCellDetailOccMapOvThrGain',
167  weight = 'weight', title = titleMapOvThrGain, path = 'Tile/Cell', subDirectory = True,
168  run = run, triggers = l1Triggers, perGain = True, separator = '_')
169 
170 
171  # 12) Configure histograms with status of Tile channels in DB per partition
172  addTileModuleChannelMapsArray(helper, tileCellMonAlg, name = 'TileCellStatusInDB',
173  title = 'Cell channel status in DB', path = 'Tile/Cell',
174  run = run, perGain = True, separator = '_')
175 
176  # 13) Configure histograms with Tile channels masked on the fly per partition
177  addTileModuleChannelMapsArray(helper, tileCellMonAlg, name = 'TileCellStatusOnFly',
178  title = 'Channels masked on the fly', path = 'Tile/Cell',
179  run = run, perGain = False, separator = '_')
180 
181 
182  # 14) Configure histograms with occupancy map below negative threshold per partition
183  titleNegOcc = 'Occupancy Map Below %s GeV' % (kwargs['NegativeEnergyThreshold'] / GeV)
184  addTileModuleChannelMapsArray(helper, tileCellMonAlg, name = 'TileCellDetailNegOccMap',
185  title = titleNegOcc, path = 'Tile/Cell', run = run, separator = '_')
186 
187  # 15) Configure histograms with Tile module correlation per partition
188  from TileMonitoring.TileMonitoringCfgHelper import addTileModuleCorrelionMapsArray
189  addTileModuleCorrelionMapsArray(helper, tileCellMonAlg, name = 'TileCellModuleCorrelation',
190  title = 'Tile Cell Module correlation', path = 'Tile/Cell',
191  weight = 'weight', subDirectory = True, run = run,
192  triggers = l1Triggers, allPartitions = True, separator = '_')
193 
194 
195  from TileMonitoring.TileMonitoringCfgHelper import addTile1DHistogramsArray
196 
197  # 16) Configure histograms with number of masked Tile channels on the fly vs lumi block per partition
198  titleMaskOnFlyLB = 'Number of masked channels on the fly'
199  titleMaskOnFlyLB += ';LumiBlock;Number of masked channels'
200  addTile1DHistogramsArray(helper, tileCellMonAlg, name = 'TileMaskChannelOnFlyLB', path = 'Tile/Cell',
201  xvalue = 'lumiBlock', value= 'nMaskedChannelsOnFly', title = titleMaskOnFlyLB,
202  xbins = 1000, xmin = -0.5, xmax = 999.5, type = 'TProfile', run = run, triggers = [],
203  perPartition = True, perSample = False, perGain = False, subDirectory = False,
204  opt = 'kAddBinsDynamically', merge = 'merge', allPartitions = True)
205 
206  # 17) Configure histograms with number of masked Tile cells on the fly vs lumi block per partition
207  titleMaskCellLB = 'Number of masked cells on the fly'
208  titleMaskCellLB += ';LumiBlock;Number of masked cells'
209  addTile1DHistogramsArray(helper, tileCellMonAlg, name = 'TileMaskCellLB', path = 'Tile/Cell',
210  xvalue = 'lumiBlock', value = 'nMaskedCells', title = titleMaskCellLB,
211  xbins = 1000, xmin = -0.5, xmax = 999.5, type='TProfile', run = run, triggers = [],
212  subDirectory = False, perPartition = True, perSample = False, perGain = False,
213  opt = 'kAddBinsDynamically', merge = 'merge', allPartitions = True)
214 
215  # 18) Configure histograms with number of masked Tile channels on the fly due to bad DQ status vs lumi block per partition
216  titleMaskDueDQ = 'Number of masked channels on the fly due to bad DQ status'
217  titleMaskDueDQ += ';LumiBlock;Number of masked channels'
218  addTile1DHistogramsArray(helper, tileCellMonAlg, name = 'TileMaskChannelDueDQvsLB', path = 'Tile/Cell',
219  xvalue = 'lumiBlock', value = 'nMaskedChannelsDueDQ', title = titleMaskDueDQ,
220  xbins = 1000, xmin = -0.5, xmax = 999.5, type='TProfile', run = run, triggers = [],
221  subDirectory = False, perPartition = True, perSample = False, perGain = False,
222  opt = 'kAddBinsDynamically', merge = 'merge', allPartitions = True)
223 
224  # 19) Configure histograms with number of masked Tile cells on the fly due to bad DQ status vs lumi block per partition
225  titleMaskCellDueDQ = 'Number of masked cells on the fly due to bad DQ status'
226  titleMaskCellDueDQ += ';LumiBlock;Number of masked cells'
227  addTile1DHistogramsArray(helper, tileCellMonAlg, name = 'TileMaskedCellDueDQvsLB', path = 'Tile/Cell',
228  xvalue = 'lumiBlock', value = 'nMaskedCellsDueDQ', title = titleMaskCellDueDQ,
229  xbins = 1000, xmin = -0.5, xmax = 999.5, type='TProfile', run = run, triggers = [],
230  subDirectory = False, perPartition = True, perSample = False, perGain = False,
231  opt = 'kAddBinsDynamically', merge = 'merge', allPartitions = True)
232 
233  if kwargs['fillChannelTimeHistograms']:
234  # Configure histograms with Tile channel time per partition and sample
235  titleChanTimeSamp = 'Channel Time, E_{ch} > %s MeV;time [ns]' % (kwargs['EnergyThresholdForTime'] / MeV)
236  addTile1DHistogramsArray(helper, tileCellMonAlg, name = 'TileChannelTime',
237  xvalue = 'time', title = titleChanTimeSamp, path = 'Tile/Cell',
238  xbins = 121, xmin = -60.5, xmax = 60.5, type='TH1D',
239  run = run, triggers = l1Triggers, subDirectory = True,
240  perPartition = True, perSample = True, perGain = False)
241 
242  # 20) Configure histograms with energy difference between Tile cells' PMTs per partition and sample
243  addTile1DHistogramsArray(helper, tileCellMonAlg, name = 'TileCellEneDiff', xvalue = 'energyDiff',
244  title = 'Energy difference [MeV] between PMTs;Energy difference [MeV]',
245  path = 'Tile/Cell', xbins = 50, xmin = -1000., xmax = 1000., type='TH1D',
246  run = run, triggers = l1Triggers, subDirectory = True,
247  perPartition = True, perSample = True, perGain = False)
248 
249  # 21) Configure histograms with time difference between Tile cells' PMTs per partition and sample
250  titleTimeDiffSamp = 'Time difference [ns] between PMTs with '
251  titleTimeDiffSamp += 'E_{ch} > %s MeV' % (kwargs['EnergyThresholdForTime'] / MeV)
252  titleTimeDiffSamp += ';time [ns]'
253  addTile1DHistogramsArray(helper, tileCellMonAlg, name = 'TileCellTimeDiff',
254  xvalue = 'timeDiff', title = titleTimeDiffSamp, path = 'Tile/Cell',
255  xbins = 50, xmin = -10., xmax = 10., type='TH1D', run = run, triggers = l1Triggers,
256  subDirectory = True, perPartition = True, perSample = True, perGain = False)
257 
258  # Configure histograms with number of Tile cells vs lumiBlock per partition
259  titleCellsNumber = 'Tile Cells number per luminosity block;LumiBlock;Number of reconstructed cells'
260  addTile1DHistogramsArray(helper, tileCellMonAlg, name = 'TileCellsNumberLB', opt = 'kAddBinsDynamically', merge = 'merge',
261  xvalue = 'lumiBlock', value = 'nCells', title = titleCellsNumber, path = 'Tile/Cell',
262  xbins = 1000, xmin = -0.5, xmax = 999.5, type='TProfile', run = run, triggers = l1Triggers,
263  subDirectory = True, perPartition = True, perSample = False, perGain = False, allPartitions = True)
264 
265  # 22) Configure histograms with number of Tile cells over threshold vs BCID per partition
266  titleCellsOvThrBCID = 'Tile Cell Occupancy over Threshold %s MeV' % (kwargs['EnergyThresholdForTime'] / MeV)
267  titleCellsOvThrBCID += ';BCID;Average number of cells over threshold'
268  addTile1DHistogramsArray(helper, tileCellMonAlg, name = 'TileCellOccOvThrBCID',
269  xvalue = 'BCID', value = 'nCells', title = titleCellsOvThrBCID, path = 'Tile/Cell',
270  xbins = 3565, xmin = 0., xmax = 3565., type='TProfile', run = run, triggers = l1Triggers,
271  subDirectory = True, perPartition = True, perSample = False, perGain = False, allPartitions = True)
272 
273  # 23) Configure histograms with number of Tile E cell's energy per partition
274  titleEvEnergy = 'Tile Event SampE Energy;Event Energy [MeV]'
275  addTile1DHistogramsArray(helper, tileCellMonAlg, name = 'TileCellEventEnergy_SampE',
276  xvalue = 'energy', title = titleEvEnergy, path = 'Tile/Cell',
277  xbins = 120, xmin = -2000., xmax = 10000., type='TH1D', run = run, triggers = l1Triggers,
278  subDirectory = True, perPartition = True, perSample = False, perGain = False, allPartitions = True)
279 
280  # 24) Configure histograms with number of Tile E cell's energy
281  titleSynch = 'Tile Time of Flight - Tile measured;Time of Flight - Tile measured [ns]'
282  addTile1DHistogramsArray(helper, tileCellMonAlg, name = 'TileCellSynch',
283  xvalue = 'timeDifference', title = titleSynch, path = 'Tile/Cell',
284  xbins = 50, xmin = -100., xmax = 100., type='TH1D', run = run, triggers = l1Triggers,
285  subDirectory = False, perPartition = False, perSample = False, perGain = False)
286 
287 
288  from TileMonitoring.TileMonitoringCfgHelper import addTileEtaPhiMapsArray
289 
290  # 25) Configure histograms with everage Tile cell energy vs eta and phy per sample
291  addTileEtaPhiMapsArray(helper, tileCellMonAlg, name = 'TileCellEneEtaPhi', type='TProfile2D',
292  value = 'energy', title = 'Energy Average depostion [MeV]',
293  path = 'Tile/Cell', run = run, triggers = l1Triggers, perSample = True)
294 
295  # 26) Configure histograms with number of Tile cells over threshold vs eta and phy per sample
296  titleEtaPhiOvThr = ('Position of cells over threshold %s MeV' % kwargs['EnergyThreshold'])
297  addTileEtaPhiMapsArray(helper, tileCellMonAlg, name = 'TileCellEtaPhiOvThr',
298  type='TH2D', title = titleEtaPhiOvThr, path = 'Tile/Cell',
299  run = run, triggers = l1Triggers, perSample = True)
300 
301 
302  from TileMonitoring.TileMonitoringCfgHelper import addTileModuleArray
303 
304  # 27) Configure histograms with energy difference between Tile cell's PMTs vs module per partition
305  titleEnergyBal = "Cell's PMTs Energy Balance"
306  titleEnergyBal += ";;Energy balance between cell's PMTs (u-d)/(u+d)"
307  addTileModuleArray(helper, tileCellMonAlg, name = 'TileCellEnergyBalance', type='TProfile',
308  title = titleEnergyBal, path = 'Tile/Cell', value = 'energyBalance', run = run)
309 
310 
311  # 28) Configure histograms with time difference between Tile cell's PMTs vs module per partition
312  titleTimeBal = "Cell's PMTs Time Difference with "
313  titleTimeBal += 'E_{ch} > %s MeV' % (kwargs['EnergyThresholdForTime'] / MeV)
314  titleTimeBal += ";;Time balance between cell's PMTs [ns]"
315  addTileModuleArray(helper, tileCellMonAlg, name = 'TileCellTimeBalance', type='TProfile',
316  title = titleTimeBal, path = 'Tile/Cell', value = 'timeBalance', run = run)
317 
318 
319  if kwargs['fillGapScintilatorHistograms']:
320  rangeScalFactor = [1, 1, 1, 1]
321  gapScintDimentions = [2, Tile.MAX_DRAWER, 4] # EBA and EBC, 64 modules, E1-E4
322  gapScintArray = helper.addArray(gapScintDimentions, tileCellMonAlg, 'TileGapScintilatorEnergy', topPath = 'Tile/Cell')
323  for postfix, tool in gapScintArray.Tools.items():
324  ros, module, cellIdx = [int(x) for x in postfix.split('_')[1:]]
325  ros += 3
326 
327  partionName = getPartitionName(ros)
328  moduleName = Tile.getDrawerString(ros, module)
329 
330  fullName = f'energy;TileGapScintilatorEnergy{moduleName}_E{cellIdx + 1}'
331  fullTitle = f'Run {run} {moduleName} E{cellIdx + 1}: Energy;Energy [MeV]'
332 
333  tool.defineHistogram(fullName, title = fullTitle, path = f'GapScint/{partionName}', type = 'TH1F',
334  xbins = 1000, xmin = -1.5, xmax = 25000.5 * rangeScalFactor[cellIdx])
335 
336 
337  accumalator = helper.result()
338  result.merge(accumalator)
339  return result
340 
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