OptoScanAlgorithm Class Reference

#include <OptoScanAlgorithm.h>

Inheritance diagram for OptoScanAlgorithm:

Public Member Functions
Histo	histo (const uint16_t &gain, const uint16_t &digital_level) const
	OptoScanAlgorithm (const edm::ParameterSet &pset, OptoScanAnalysis *const )
virtual	~OptoScanAlgorithm ()
Public Member Functions inherited from CommissioningAlgorithm
void	analysis (const std::vector< TH1 * > &)
	CommissioningAlgorithm (CommissioningAnalysis *const )
	CommissioningAlgorithm ()
virtual	~CommissioningAlgorithm ()

Private Member Functions
void	analyse ()
void	extract (const std::vector< TH1 * > &)
	OptoScanAlgorithm ()

Private Attributes
std::vector< std::vector< Histo > >	histos_
float	targetGain_

Additional Inherited Members
Public Types inherited from CommissioningAlgorithm
typedef std::pair< TH1 *, std::string >	Histo
Protected Member Functions inherited from CommissioningAlgorithm
CommissioningAnalysis *const	anal () const
uint32_t	extractFedKey (const TH1 *const )

Detailed Description

Definition at line 18 of file OptoScanAlgorithm.h.

Constructor & Destructor Documentation

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 ( )

inlinevirtual

Definition at line 24 of file OptoScanAlgorithm.h.

{;}

OptoScanAlgorithm::OptoScanAlgorithm ( )

inlineprivate

Definition at line 32 of file OptoScanAlgorithm.h.

{;}

Member Function Documentation

void OptoScanAlgorithm::analyse ( )

privatevirtual

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_, bookConverter::max, sistrip::maximum_, OptoScanAnalysis::measGain_, min(), sistrip::mlCommissioning_, pileupCalc::nbins, sistrip::nullPtr_, sistrip::numberOfBins_, contentValuesCheck::ss, targetGain_, OptoScanAnalysis::threshold_, OptoScanAnalysis::tickHeight_, tmp, sistrip::unexpectedBinNumber_, sistrip::valid_, create_public_lumi_plots::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 )

privatevirtual

Extracts and organises histograms.

Implements CommissioningAlgorithm.

Definition at line 29 of file OptoScanAlgorithm.cc.

References CommissioningAnalysis::addErrorCode(), CommissioningAlgorithm::anal(), sistrip::extrainfo::baselineRms_, TauDecayModes::dec, sistrip::extrainfo::digital_, CommissioningAlgorithm::extractFedKey(), CommissioningAnalysis::fedKey(), sistrip::extrainfo::gain_, histos_, sistrip::invalid_, sistrip::mlCommissioning_, sistrip::numberOfHistos_, sistrip::OPTO_SCAN, contentValuesCheck::ss, indexGen::title, sistrip::unexpectedExtraInfo_, and sistrip::unexpectedTask_.

Referenced by BeautifulSoup.PageElement::_invert(), and BeautifulSoup.Tag::decompose().

                                                               { 

  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_.

                                                                  {
  if ( gain <= 3 && digital_level <= 1 ) { return histos_[gain][digital_level]; }
  else { return Histo(0,""); }
}

Member Data Documentation

std::vector< std::vector<Histo> > OptoScanAlgorithm::histos_

private

Pointers and titles for histograms.

Definition at line 43 of file OptoScanAlgorithm.h.

Referenced by analyse(), extract(), and histo().

float OptoScanAlgorithm::targetGain_

private

Analysis parameters

Definition at line 46 of file OptoScanAlgorithm.h.

Referenced by analyse(), and OptoScanAlgorithm().