TileTowerMonitorAlgorithm Namespace Reference

Functions
def	TileTowerMonitoringConfig (flags, **kwargs)

Function Documentation

TileTowerMonitoringConfig()

def TileTowerMonitorAlgorithm.TileTowerMonitoringConfig	(		flags,
		**	kwargs
	)

Function to configure TileTowerMonitorAlgorithm algorithm in the monitoring system.

Definition at line 11 of file TileTowerMonitorAlgorithm.py.

def TileTowerMonitoringConfig(flags, **kwargs):
 
    ''' Function to configure TileTowerMonitorAlgorithm algorithm in the monitoring system.'''
 
    # Define one top-level monitoring algorithm. The new configuration
    # framework uses a component accumulator.
 
    result = ComponentAccumulator()
 
    from TileMonitoring.TileTowerBuilderConfig import TileTowerBuilderAlgCfg
    result.merge(TileTowerBuilderAlgCfg(flags))
 
    # The following class will make a sequence, configure algorithms, and link
    # them to GenericMonitoringTools
    from AthenaMonitoring import AthMonitorCfgHelper
    helper = AthMonitorCfgHelper(flags,'TileTowerMonitoring')
 
    # Adding an TileTowerMonitorAlgorithm algorithm to the helper
    TileTowerMonitorAlgorithm=CompFactory.TileTowerMonitorAlgorithm
    tileTowerMonAlg = helper.addAlgorithm(TileTowerMonitorAlgorithm, 'TileTowerMonAlg')
 
    tileTowerMonAlg.TriggerChain = ''
 
    # L1Trigger Type Bits:
    #     bit0_RNDM, bit1_ZeroBias, bit2_L1Cal, bit3_Muon,
    #     bit4_RPC, bit5_FTK, bit6_CTP, bit7_Calib, AnyPhysTrig
    kwargs.setdefault('fillHistogramsForL1Triggers', ['AnyPhysTrig', 'bit7_Calib'])
    l1Triggers = kwargs['fillHistogramsForL1Triggers']
 
    for k, v in kwargs.items():
        setattr(tileTowerMonAlg, k, v)
 
    run = str(flags.Input.RunNumbers[0])
 
    # 1) Configure histogram with TileTowerMonAlg algorithm execution time
    executeTimeGroup = helper.addGroup(tileTowerMonAlg, 'TileTowerMonExecuteTime', 'Tile/')
    executeTimeGroup.defineHistogram('TIME_execute', path = 'Tower', type='TH1F',
                                     title = 'Time for execute TileTowerMonAlg algorithm;time [#mus]',
                                     xbins = 100, xmin = 0, xmax = 100000)
 
 
    from TileCalibBlobObjs.Classes import TileCalibUtils as Tile
    from TileMonitoring.TileMonitoringCfgHelper import addTileEtaPhiMapsArray
 
    # ) Configure histograms with most energetic Tile tower position
    addTileEtaPhiMapsArray(helper, tileTowerMonAlg, name = 'TileTowerEtaPhi', type='TH2D',
                           title = 'Most energetic Tile Tower position', path = 'Tile/Tower',
                           run = run, triggers = l1Triggers, perSample = False)
 
    # ) Configure histograms with position correlation of Tile tower opposite to most energetic tower
    addTileEtaPhiMapsArray(helper, tileTowerMonAlg, name = 'TileTowerEtaPhiDiff', type='TH2D',
                           title = 'Position correlation of Tile Tower opposite to most energetic tower',
                           path = 'Tile/Tower', run = run, triggers = l1Triggers, perSample = False,
                           etaTitle = '#Delta #eta', etabins = 41, etamin = -2.05, etamax = 2.05,
                           phiTitle = '#Delta #phi', phibins = Tile.MAX_DRAWER + 1, phimin = -0.05, phimax = 6.45)
 
 
    from TileMonitoring.TileMonitoringCfgHelper import addTile1DHistogramsArray
 
    # ) Configure histograms with Et in most energetic Tile tower per partition
    addTile1DHistogramsArray(helper, tileTowerMonAlg, name = 'TileTowerEt', xvalue = 'Et',
                             title = 'E_{T} [MeV] in most energetic Tile Tower', path = 'Tile/Tower',
                             xbins = 80, xmin = 0., xmax = 20000., type = 'TH1D', run = run,
                             triggers = l1Triggers, perPartition = True, perSample = False,
                             perGain = False, subDirectory = True, allPartitions = True)
 
    # ) Configure histograms with all Tile towers energy per partition
    addTile1DHistogramsArray(helper, tileTowerMonAlg, name = 'TileAllTowerEnergy', xvalue = 'energy',
                             title = 'All Tile Towers Energy [MeV]', path = 'Tile/Tower',
                             xbins = 80, xmin = 0., xmax = 20000., type = 'TH1D', run = run,
                             triggers = l1Triggers, perPartition = True, perSample = False,
                             perGain = False, subDirectory = True, allPartitions = True)
 
 
    accumalator = helper.result()
    result.merge(accumalator)
    return result