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#include <OptoScanAlgorithm.h>
Public Member Functions | |
| Histo | histo (const uint16_t &gain, const uint16_t &digital_level) const |
| OptoScanAlgorithm (const edm::ParameterSet &pset, OptoScanAnalysis *const ) | |
| virtual | ~OptoScanAlgorithm () |
Private Member Functions | |
| void | analyse () |
| void | extract (const std::vector< TH1 * > &) |
| OptoScanAlgorithm () | |
Private Attributes | |
| std::vector< std::vector< Histo > > | histos_ |
| float | targetGain_ |
Definition at line 18 of file OptoScanAlgorithm.h.
| OptoScanAlgorithm::OptoScanAlgorithm | ( | const edm::ParameterSet & | pset, |
| OptoScanAnalysis * const | anal | ||
| ) |
Definition at line 17 of file OptoScanAlgorithm.cc.
References sistrip::mlCommissioning_, and targetGain_.
: CommissioningAlgorithm(anal), histos_( 4, std::vector<Histo>( 3, Histo(0,"") ) ), targetGain_(pset.getParameter<double>("TargetGain")) { edm::LogInfo(mlCommissioning_) << "[PedestalsAlgorithm::" << __func__ << "]" << " Set target gain to: " << targetGain_; }
| virtual OptoScanAlgorithm::~OptoScanAlgorithm | ( | ) | [inline, virtual] |
Definition at line 24 of file OptoScanAlgorithm.h.
{;}
| OptoScanAlgorithm::OptoScanAlgorithm | ( | ) | [inline, private] |
Definition at line 32 of file OptoScanAlgorithm.h.
{;}
| void OptoScanAlgorithm::analyse | ( | ) | [private, virtual] |
Performs histogram anaysis.
Implements CommissioningAlgorithm.
Definition at line 98 of file OptoScanAlgorithm.cc.
References sistrip::LinearFit::Params::a_, sistrip::LinearFit::add(), CommissioningAnalysis::addErrorCode(), CommissioningAlgorithm::anal(), sistrip::LinearFit::Params::b_, OptoScanAnalysis::baseSlope_, OptoScanAnalysis::bias_, OptoScanAnalysis::defaultBiasSetting_, OptoScanAnalysis::defaultGainSetting_, OptoScanAnalysis::fedAdcGain_, sistrip::LinearFit::fit(), OptoScanAnalysis::gain_, histos_, sistrip::invalid_, sistrip::invalidZeroLightLevel_, OptoScanAnalysis::liftOff_, OptoScanAnalysis::linkNoise_, max(), sistrip::maximum_, OptoScanAnalysis::measGain_, min, sistrip::mlCommissioning_, RecoTauCommonJetSelections_cfi::nbins, sistrip::nullPtr_, sistrip::numberOfBins_, targetGain_, OptoScanAnalysis::threshold_, OptoScanAnalysis::tickHeight_, tmp, sistrip::unexpectedBinNumber_, sistrip::valid_, tablePrinter::width, and OptoScanAnalysis::zeroLight_.
{
if ( !anal() ) {
edm::LogWarning(mlCommissioning_)
<< "[OptoScanAlgorithm::" << __func__ << "]"
<< " NULL pointer to base Analysis object!";
return;
}
CommissioningAnalysis* tmp = const_cast<CommissioningAnalysis*>( anal() );
OptoScanAnalysis* anal = dynamic_cast<OptoScanAnalysis*>( tmp );
if ( !anal ) {
edm::LogWarning(mlCommissioning_)
<< "[OptoScanAlgorithm::" << __func__ << "]"
<< " NULL pointer to derived Analysis object!";
return;
}
// Iterate through four gain settings
for ( uint16_t igain = 0; igain < 4; igain++ ) {
// Select histos appropriate for gain setting
TH1* base_his = histos_[igain][0].first;
TH1* peak_his = histos_[igain][1].first;
TH1* noise_his = histos_[igain][2].first;
if ( !base_his ) {
anal->addErrorCode(sistrip::nullPtr_);
return;
}
if ( !peak_his ) {
anal->addErrorCode(sistrip::nullPtr_);
return;
}
if ( !noise_his ) {
anal->addErrorCode(sistrip::nullPtr_);
return;
}
TProfile* base_histo = dynamic_cast<TProfile*>(base_his);
if ( !base_histo ) {
anal->addErrorCode(sistrip::nullPtr_);
return;
}
TProfile* peak_histo = dynamic_cast<TProfile*>(peak_his);
if ( !peak_histo ) {
anal->addErrorCode(sistrip::nullPtr_);
return;
}
TProfile* noise_histo = dynamic_cast<TProfile*>(noise_his);
if ( !noise_histo ) {
anal->addErrorCode(sistrip::nullPtr_);
return;
}
// Check histogram binning
uint16_t nbins = static_cast<uint16_t>( peak_histo->GetNbinsX() );
if ( static_cast<uint16_t>( base_histo->GetNbinsX() ) != nbins ) {
anal->addErrorCode(sistrip::numberOfBins_);
if ( static_cast<uint16_t>( base_histo->GetNbinsX() ) < nbins ) {
nbins = static_cast<uint16_t>( base_histo->GetNbinsX() );
}
}
// Some containers
std::vector<float> peak_contents(0);
std::vector<float> peak_errors(0);
std::vector<float> peak_entries(0);
std::vector<float> base_contents(0);
std::vector<float> base_errors(0);
std::vector<float> base_entries(0);
std::vector<float> noise_contents(0);
std::vector<float> noise_errors(0);
std::vector<float> noise_entries(0);
float peak_max = -1.*sistrip::invalid_;
float peak_min = 1.*sistrip::invalid_;
float base_max = -1.*sistrip::invalid_;
float base_min = 1.*sistrip::invalid_;
float noise_max = -1.*sistrip::invalid_;
float noise_min = 1.*sistrip::invalid_;
// Transfer histogram contents/errors/stats to containers
for ( uint16_t ibin = 0; ibin < nbins; ibin++ ) {
// Peak histogram
peak_contents.push_back( peak_histo->GetBinContent(ibin+1) );
peak_errors.push_back( peak_histo->GetBinError(ibin+1) );
peak_entries.push_back( peak_histo->GetBinEntries(ibin+1) );
if ( peak_entries[ibin] ) {
if ( peak_contents[ibin] > peak_max ) { peak_max = peak_contents[ibin]; }
if ( peak_contents[ibin] < peak_min && ibin ) { peak_min = peak_contents[ibin]; }
}
// Base histogram
base_contents.push_back( base_histo->GetBinContent(ibin+1) );
base_errors.push_back( base_histo->GetBinError(ibin+1) );
base_entries.push_back( base_histo->GetBinEntries(ibin+1) );
if ( base_entries[ibin] ) {
if ( base_contents[ibin] > base_max ) { base_max = base_contents[ibin]; }
if ( base_contents[ibin] < base_min && ibin ) { base_min = base_contents[ibin]; }
}
// Noise histogram
noise_contents.push_back( noise_histo->GetBinContent(ibin+1) );
noise_errors.push_back( noise_histo->GetBinError(ibin+1) );
noise_entries.push_back( noise_histo->GetBinEntries(ibin+1) );
if ( noise_entries[ibin] ) {
if ( noise_contents[ibin] > noise_max ) { noise_max = noise_contents[ibin]; }
if ( noise_contents[ibin] < noise_min && ibin ) { noise_min = noise_contents[ibin]; }
}
}
// Find "zero light" level and error
//@@ record bias setting used for zero light level
//@@ zero light error changes wrt gain setting ???
float zero_light_level = sistrip::invalid_;
float zero_light_error = sistrip::invalid_;
for ( uint16_t ibin = 0; ibin < nbins; ibin++ ) {
if ( base_entries[ibin] ) {
zero_light_level = base_contents[ibin];
zero_light_error = base_errors[ibin];
break;
}
}
float zero_light_thres = sistrip::invalid_;
if ( zero_light_level <= sistrip::maximum_ &&
zero_light_error <= sistrip::maximum_ ) {
zero_light_thres = zero_light_level + 5. * zero_light_error;
} else {
std::stringstream ss;
ss << sistrip::invalidZeroLightLevel_ << "ForGain" << igain;
anal->addErrorCode( ss.str() );
continue;
}
// Find range of base histogram
float base_range = base_max - base_min;
// Find overlapping max/min region that constrains range of linear fit
float max = peak_max < base_max ? peak_max : base_max;
float min = peak_min > base_min ? peak_min : base_min;
float range = max - min;
// Container identifying whether samples from 'base' histo are above "zero light"
std::vector<bool> above_zero_light;
above_zero_light.resize(3,true);
// Linear fits to top of peak and base curves and one to bottom of base curve
sistrip::LinearFit peak_high;
sistrip::LinearFit base_high;
sistrip::LinearFit base_low;
// Iterate through histogram bins
uint16_t peak_bin = 0;
uint16_t base_bin = 0;
uint16_t low_bin = 0;
for ( uint16_t ibin = 0; ibin < nbins; ibin++ ) {
// Record whether consecutive samples from 'base' histo are above the "zero light" level
if ( base_entries[ibin] ) {
above_zero_light.erase( above_zero_light.begin() );
if ( base_contents[ibin] > zero_light_thres ) { above_zero_light.push_back( true ); }
else { above_zero_light.push_back( false ); }
if ( above_zero_light.size() != 3 ) { above_zero_light.resize(3,false); }
}
// Linear fit to peak histogram
if ( peak_entries[ibin] &&
peak_contents[ibin] > ( min + 0.2*range ) &&
peak_contents[ibin] < ( min + 0.8*range ) ) {
if ( !peak_bin ) { peak_bin = ibin; }
if ( ( ibin - peak_bin ) < 10 ) {
peak_high.add( ibin, peak_contents[ibin] ); //@@ should weight using bin error or bin contents (sqrt(N)/N)
}
}
// Linear fit to base histogram
if ( base_entries[ibin] &&
base_contents[ibin] > ( min + 0.2*range ) &&
base_contents[ibin] < ( min + 0.8*range ) ) {
if ( !base_bin ) { base_bin = ibin; }
if ( ( ibin - base_bin ) < 10 ) {
base_high.add( ibin, base_contents[ibin] ); //@@ should weight using bin error or bin contents (sqrt(N)/N)
}
}
// Low linear fit to base histogram
if ( base_entries[ibin] &&
//@@ above_zero_light[0] && above_zero_light[1] && above_zero_light[2] &&
base_contents[ibin] > ( base_min + 0.2*base_range ) &&
base_contents[ibin] < ( base_min + 0.6*base_range ) ) {
if ( !low_bin ) { low_bin = ibin; }
if ( ( ibin - low_bin ) < 10 ) {
base_low.add( ibin, base_contents[ibin] ); //@@ should weight using bin error or bin contents (sqrt(N)/N)
}
}
}
// Extract width between two curves at midpoint within range
float mid = min + 0.5*range;
sistrip::LinearFit::Params peak_params;
sistrip::LinearFit::Params base_params;
peak_high.fit( peak_params );
base_high.fit( base_params );
float peak_pos = sistrip::invalid_;
float base_pos = sistrip::invalid_;
float width = sistrip::invalid_;
if ( peak_params.b_ > 0. ) {
peak_pos = ( mid - peak_params.a_ ) / peak_params.b_;
}
if ( base_params.b_ > 0. ) {
base_pos = ( mid - base_params.a_ ) / base_params.b_;
}
if ( base_pos < sistrip::valid_ &&
peak_pos < sistrip::valid_ ) {
width = base_pos - peak_pos;
}
// Extrapolate to zero light to find "lift off"
sistrip::LinearFit::Params low_params;
base_low.fit( low_params );
float lift_off = sistrip::invalid_;
if ( low_params.b_ > 0. ) {
lift_off = ( zero_light_level - low_params.a_ ) / low_params.b_;
}
// ---------- Set all parameters ----------
// Slope of baseline
if ( low_params.b_ > 0. ) {
anal->baseSlope_[igain] = low_params.b_;
}
// Check "lift off" value and set bias setting accordingly
if ( lift_off <= sistrip::maximum_ ) {
anal->bias_[igain] = static_cast<uint16_t>( lift_off ) + 2;
} else { anal->bias_[igain] = OptoScanAnalysis::defaultBiasSetting_; }
// Calculate "lift off" (in mA)
if ( lift_off <= sistrip::maximum_ ) {
anal->liftOff_[igain] = 0.45 * lift_off;
}
// Calculate laser threshold (in mA)
if ( width < sistrip::invalid_ ) {
anal->threshold_[igain] = 0.45 * ( lift_off - width/2. );
}
// Set "zero light" level
anal->zeroLight_[igain] = zero_light_level;
// Set link noise
uint16_t bin_number = sistrip::invalid_;
if ( anal->threshold_[igain] < sistrip::valid_ ) {
// Old calculation, used in commissioning in 2008
// always leads to zero link noise
// bin_number = static_cast<uint16_t>( anal->threshold_[igain] / 0.45 );
// New calculation asked by Karl et al, for commissioning in 2009
bin_number = (uint16_t) (lift_off + width / 3.);
}
if ( bin_number < sistrip::valid_ ) {
if ( bin_number < noise_contents.size() ) {
anal->linkNoise_[igain] = noise_contents[bin_number];
} else { anal->addErrorCode(sistrip::unexpectedBinNumber_); }
}
// Calculate tick mark height
if ( low_params.b_ <= sistrip::maximum_ &&
width <= sistrip::maximum_ ) {
anal->tickHeight_[igain] = width * low_params.b_;
}
// Set measured gain
if ( anal->tickHeight_[igain] < sistrip::invalid_-1. ) {
anal->measGain_[igain] = anal->tickHeight_[igain] * OptoScanAnalysis::fedAdcGain_ / 0.800;
} else { anal->measGain_[igain] = sistrip::invalid_; }
} // gain loop
// Iterate through four gain settings and identify optimum gain setting
const float target_gain = targetGain_; //0.863; // changed from 0.8 to avoid choice of low tickheights (Xtof, SL, 15/6/2009)
float diff_in_gain = sistrip::invalid_;
for ( uint16_t igain = 0; igain < 4; igain++ ) {
// Check for sensible gain value
if ( anal->measGain_[igain] > sistrip::maximum_ ) { continue; }
// Find optimum gain setting
if ( fabs( anal->measGain_[igain] - target_gain ) < diff_in_gain ) {
anal->gain_ = igain;
diff_in_gain = fabs( anal->measGain_[igain] - target_gain );
}
}
// Check optimum gain setting
if ( anal->gain_ > sistrip::maximum_ ) { anal->gain_ = OptoScanAnalysis::defaultGainSetting_; }
}
| void OptoScanAlgorithm::extract | ( | const std::vector< TH1 * > & | histos | ) | [private, virtual] |
Extracts and organises histograms.
Implements CommissioningAlgorithm.
Definition at line 29 of file OptoScanAlgorithm.cc.
References CommissioningAnalysis::addErrorCode(), CommissioningAlgorithm::anal(), sistrip::extrainfo::baselineRms_, sistrip::extrainfo::digital_, CommissioningAlgorithm::extractFedKey(), CommissioningAnalysis::fedKey(), sistrip::extrainfo::gain_, histos_, sistrip::invalid_, sistrip::mlCommissioning_, sistrip::numberOfHistos_, sistrip::OPTO_SCAN, indexGen::title, sistrip::unexpectedExtraInfo_, and sistrip::unexpectedTask_.
{
if ( !anal() ) {
edm::LogWarning(mlCommissioning_)
<< "[OptoScanAlgorithm::" << __func__ << "]"
<< " NULL pointer to Analysis object!";
return;
}
// Check number of histograms
if ( histos.size() != 12 ) {
anal()->addErrorCode(sistrip::numberOfHistos_);
}
// Extract FED key from histo title
if ( !histos.empty() ) anal()->fedKey( extractFedKey( histos.front() ) );
// Extract histograms
std::vector<TH1*>::const_iterator ihis = histos.begin();
for ( ; ihis != histos.end(); ihis++ ) {
// Check for NULL pointer
if ( !(*ihis) ) { continue; }
// Check name
SiStripHistoTitle title( (*ihis)->GetName() );
if ( title.runType() != sistrip::OPTO_SCAN ) {
anal()->addErrorCode(sistrip::unexpectedTask_);
continue;
}
// Extract gain setting and digital high/low info
uint16_t gain = sistrip::invalid_;
if ( title.extraInfo().find(sistrip::extrainfo::gain_) != std::string::npos ) {
std::stringstream ss;
ss << title.extraInfo().substr( title.extraInfo().find(sistrip::extrainfo::gain_) + (sizeof(sistrip::extrainfo::gain_) - 1), 1 );
ss >> std::dec >> gain;
}
uint16_t digital = sistrip::invalid_;
if ( title.extraInfo().find(sistrip::extrainfo::digital_) != std::string::npos ) {
std::stringstream ss;
ss << title.extraInfo().substr( title.extraInfo().find(sistrip::extrainfo::digital_) + (sizeof(sistrip::extrainfo::digital_) - 1), 1 );
ss >> std::dec >> digital;
}
bool baseline_rms = false;
if ( title.extraInfo().find(sistrip::extrainfo::baselineRms_) != std::string::npos ) {
baseline_rms = true;
}
if ( gain <= 3 ) {
if ( digital <= 1 ) {
histos_[gain][digital].first = *ihis;
histos_[gain][digital].second = (*ihis)->GetName();
} else if ( baseline_rms ) {
histos_[gain][2].first = *ihis;
histos_[gain][2].second = (*ihis)->GetName();
} else {
anal()->addErrorCode(sistrip::unexpectedExtraInfo_);
}
} else {
anal()->addErrorCode(sistrip::unexpectedExtraInfo_);
}
}
}
| CommissioningAlgorithm::Histo OptoScanAlgorithm::histo | ( | const uint16_t & | gain, |
| const uint16_t & | digital_level | ||
| ) | const |
Histogram pointer and title.
Definition at line 407 of file OptoScanAlgorithm.cc.
References histos_.
std::vector< std::vector<Histo> > OptoScanAlgorithm::histos_ [private] |
Pointers and titles for histograms.
Definition at line 43 of file OptoScanAlgorithm.h.
float OptoScanAlgorithm::targetGain_ [private] |
Analysis parameters
Definition at line 46 of file OptoScanAlgorithm.h.
Referenced by analyse(), and OptoScanAlgorithm().
1.7.3