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import FWCore.ParameterSet.Config as cms
db_client = cms.EDAnalyzer("SiStripCommissioningOfflineDbClient",
# general parameters
FilePath = cms.untracked.string('/tmp'),
RunNumber = cms.untracked.uint32(0),
UseClientFile = cms.untracked.bool(False),
UploadHwConfig = cms.untracked.bool(False),
UploadAnalyses = cms.untracked.bool(False),
DisableDevices = cms.untracked.bool(False),
SaveClientFile = cms.untracked.bool(True),
SummaryXmlFile = cms.untracked.FileInPath('DQM/SiStripCommissioningClients/data/summary.xml'),
# individual parameters
ApvTimingParameters = cms.PSet(
SkipFecUpdate = cms.bool(False), # skip upload of APV PLL settings
SkipFedUpdate = cms.bool(False), # skip upload of FED frame finding threshold
TargetDelay = cms.int32(-1) # -1: latest tick (old default), otherwise target delay for all ticks' rising edge
),
CalibrationParameters = cms.PSet(
targetRiseTime = cms.double(50),
targetDecayTime = cms.double(125),
tuneSimultaneously = cms.bool(False)
),
DaqScopeModeParameters = cms.PSet(
HighThreshold = cms.double(5),
LowThreshold = cms.double(2),
DisableBadStrips = cms.bool(False),
DeadStripMax = cms.double(10),
NoisyStripMin = cms.double(10),
KeepsStripsDisabled = cms.bool(False),
SkipPedestalUpdate = cms.bool(False),
SkipTickUpdate = cms.bool(False)
),
FastFedCablingParameters = cms.PSet(),
FedCablingParameters = cms.PSet(),
FedTimingParameters = cms.PSet(),
FineDelayParameters = cms.PSet(
cosmic = cms.bool(True)
),
LatencyParamameters = cms.PSet(
OptimizePerPartition = cms.bool(False)
),
NoiseParameters = cms.PSet(),
OptoScanParameters = cms.PSet(
TargetGain = cms.double(0.863), # target gain (0.863 ~ 690ADC for tickmark)
SkipGainUpdate = cms.bool(False) # wether to keep the gain the same as already on the db
),
PedestalsParameters = cms.PSet(
DeadStripMax = cms.double(10), # number times the noise spread below mean noise
NoisyStripMin = cms.double(10), # number times the noise spread above mean noise
HighThreshold = cms.double(5), # analysis-wide high threshold for the fed zero suppression
LowThreshold = cms.double(2), # analysis-wide low threshold for the fed zero suppression
DisableBadStrips = cms.bool(False), # for experts! disables bad strips on the fed level
AddBadStrips = cms.bool(False), #for experts! keep and add disabled bad strips.
KeepStripsDisabled = cms.bool(False) # for experts! keep strips disabled as in the db's current state
),
PedsOnlyParameters = cms.PSet(),
### Bad channel analysis
PedsFullNoiseParameters = cms.PSet(
#### selections used to define a bad strip
MaxDriftResidualCut = cms.double(20), ### the strip baseline can drift during run .. if more then N ADC count, mark the strip as bad
MinStripNoiseCut = cms.double(2), ### if a strip has a noise value less the N ADC, mark as low noisy i.e. bad
MaxStripNoiseCut = cms.double(30), ### if a strip has a noise value larger than N ADC, mark strip has high noisy i.e. bad
MaxStripNoiseSignificanceCut = cms.double(10), ## if a strip has a noise significance larger than N, mark it as bad
AdProbabCut = cms.double(0.002699796063), ### this is 3 sigma quantile selection on the AndersonDarling p-value
KsProbabCut = cms.double(0.002699796063), ### this is 3 sigma quantile selection on the Kolmogorov Smirnov p-value
GenerateRandomHisto = cms.bool(False), ### random sampling of the gaussian fit or not while computing p-values
JbProbabCut = cms.double(0.000000573303), ### this is 3 sigma quantile selection on the jacque-Bera p-value
Chi2ProbabCut = cms.double(0.000000573303), ### this is 3 sigma quantile selection on the chi2 p-value (from a Gaussian fit)
KurtosisCut = cms.double(2), ### max value of kurtosis to identify strips with long tails
IntegralNsigma = cms.int32(5), ### this is expressed in terms of number of gaussian quantiles .. 5 means take the integral 5-sigma from the peak
IntegralTailCut = cms.double(0.0005), ### selection on the N-sigma integral
AshmanDistance = cms.double(2), ### to flag double peaked strips
AmplitudeRatio = cms.double(0.85), ### to flag double peaked strips
#### Zero suppression information
HighThreshold = cms.double(5), ### analysis-wide high threshold for the fed zero suppression
LowThreshold = cms.double(2), ### analysis-wide low threshold for the fed zero suppression
#### Flags on bad strips
DisableBadStrips = cms.bool(True), ### When the upload is performed, strips are masked in case they are flagged by the analysis
KeepStripsDisabled = cms.bool(False), ### True: if a strip is already flagged bad in the db, it will be kept bad; False: if a strip was bad, now the analysis will tell us if it's bad or not
UploadOnlyStripBadChannelBit = cms.bool(False), ### True: means that pedestal and noise values are not changed in the FED version --> use old values
SkipEmptyStrips = cms.bool(True), ### In the analysis, if true strips with no data are not marked as bad but as dead --> could be mis-configured at the time of the run, not masked
UploadPedsFullNoiseDBTable = cms.bool(False) ### Tell whether the PedsFullNoise DB table needs to be uploaded --> for the time being this can be done ONLY on the oracle test account.
),
SamplingParameters = cms.PSet(),
VpspScanParameters = cms.PSet(),
)
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