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Public Member Functions | Private Member Functions | Private Attributes

NoiseAlgorithm Class Reference

Histogram-based analysis for pedestal run. More...

#include <NoiseAlgorithm.h>

Inheritance diagram for NoiseAlgorithm:
CommissioningAlgorithm

List of all members.

Public Member Functions

const HistohNoise () const
const HistohPeds () const
 NoiseAlgorithm (const edm::ParameterSet &pset, NoiseAnalysis *const )
virtual ~NoiseAlgorithm ()

Private Member Functions

void analyse ()
void extract (const std::vector< TH1 * > &)
 NoiseAlgorithm ()

Private Attributes

Histo hNoise_
Histo hPeds_

Detailed Description

Histogram-based analysis for pedestal run.

Author:
M. Wingham, R.Bainbridge

Definition at line 16 of file NoiseAlgorithm.h.


Constructor & Destructor Documentation

NoiseAlgorithm::NoiseAlgorithm ( const edm::ParameterSet pset,
NoiseAnalysis * const  anal 
)

Definition at line 16 of file NoiseAlgorithm.cc.

  : CommissioningAlgorithm(anal),
    hPeds_(0,""),
    hNoise_(0,"")
{;}
virtual NoiseAlgorithm::~NoiseAlgorithm ( ) [inline, virtual]

Definition at line 22 of file NoiseAlgorithm.h.

{;}
NoiseAlgorithm::NoiseAlgorithm ( ) [inline, private]

Definition at line 30 of file NoiseAlgorithm.h.

{;}

Member Function Documentation

void NoiseAlgorithm::analyse ( ) [private, virtual]

Performs histogram anaysis.

Implements CommissioningAlgorithm.

Definition at line 84 of file NoiseAlgorithm.cc.

References CommissioningAnalysis::addErrorCode(), CommissioningAlgorithm::anal(), NoiseAnalysis::dead_, hNoise_, hPeds_, sistrip::invalid_, sistrip::maximum_, sistrip::mlCommissioning_, NoiseAnalysis::noise_, NoiseAnalysis::noiseMax_, NoiseAnalysis::noiseMean_, NoiseAnalysis::noiseMin_, NoiseAnalysis::noiseSpread_, NoiseAnalysis::noisy_, sistrip::nullPtr_, sistrip::numberOfBins_, NoiseAnalysis::peds_, NoiseAnalysis::pedsMax_, NoiseAnalysis::pedsMean_, NoiseAnalysis::pedsMin_, NoiseAnalysis::pedsSpread_, NoiseAnalysis::raw_, NoiseAnalysis::rawMax_, NoiseAnalysis::rawMean_, NoiseAnalysis::rawMin_, NoiseAnalysis::rawSpread_, mathSSE::sqrt(), and tmp.

                             {

  if ( !anal() ) {
    edm::LogWarning(mlCommissioning_)
      << "[NoiseAlgorithm::" << __func__ << "]"
      << " NULL pointer to base Analysis object!";
    return; 
  }

  CommissioningAnalysis* tmp = const_cast<CommissioningAnalysis*>( anal() );
  NoiseAnalysis* anal = dynamic_cast<NoiseAnalysis*>( tmp );
  if ( !anal ) {
    edm::LogWarning(mlCommissioning_)
      << "[NoiseAlgorithm::" << __func__ << "]"
      << " NULL pointer to derived Analysis object!";
    return; 
  }

  if ( !hPeds_.first ) {
    anal->addErrorCode(sistrip::nullPtr_);
    return;
  }

  if ( !hNoise_.first ) {
    anal->addErrorCode(sistrip::nullPtr_);
    return;
  }
  
  TProfile* peds_histo = dynamic_cast<TProfile*>(hPeds_.first);
  TProfile* noise_histo = dynamic_cast<TProfile*>(hNoise_.first);
  
  if ( !peds_histo ) {
    anal->addErrorCode(sistrip::nullPtr_);
    return;
  }

  if ( !noise_histo ) {
    anal->addErrorCode(sistrip::nullPtr_);
    return;
  }

  if ( peds_histo->GetNbinsX() != 256 ) {
    anal->addErrorCode(sistrip::numberOfBins_);
    return;
  }

  if ( noise_histo->GetNbinsX() != 256 ) {
    anal->addErrorCode(sistrip::numberOfBins_);
    return;
  }
  
  // Iterate through APVs 
  for ( uint16_t iapv = 0; iapv < 2; iapv++ ) {

    // Used to calc mean and rms for peds and noise
    float p_sum = 0., p_sum2 = 0., p_max = -1.*sistrip::invalid_, p_min = sistrip::invalid_;
    float n_sum = 0., n_sum2 = 0., n_max = -1.*sistrip::invalid_, n_min = sistrip::invalid_;
    float r_sum = 0., r_sum2 = 0., r_max = -1.*sistrip::invalid_, r_min = sistrip::invalid_;

    // Iterate through strips of APV
    for ( uint16_t istr = 0; istr < 128; istr++ ) {

      static uint16_t strip;
      strip = iapv*128 + istr;

      // Pedestals and raw noise
      if ( peds_histo ) {
        if ( peds_histo->GetBinEntries(strip+1) ) {

          anal->peds_[iapv][istr] = peds_histo->GetBinContent(strip+1);
          p_sum += anal->peds_[iapv][istr];
          p_sum2 += ( anal->peds_[iapv][istr] * anal->peds_[iapv][istr] );
          if ( anal->peds_[iapv][istr] > p_max ) { p_max = anal->peds_[iapv][istr]; }
          if ( anal->peds_[iapv][istr] < p_min ) { p_min = anal->peds_[iapv][istr]; }
          
          anal->raw_[iapv][istr] = peds_histo->GetBinError(strip+1);
          r_sum += anal->raw_[iapv][istr];
          r_sum2 += ( anal->raw_[iapv][istr] * anal->raw_[iapv][istr] );
          if ( anal->raw_[iapv][istr] > r_max ) { r_max = anal->raw_[iapv][istr]; }
          if ( anal->raw_[iapv][istr] < r_min ) { r_min = anal->raw_[iapv][istr]; }

        }
      } 

      // Noise
      if ( noise_histo ) {
        if ( noise_histo->GetBinEntries(strip+1) ) {
          anal->noise_[iapv][istr] = noise_histo->GetBinContent(strip+1);
          n_sum += anal->noise_[iapv][istr];
          n_sum2 += ( anal->noise_[iapv][istr] * anal->noise_[iapv][istr] );
          if ( anal->noise_[iapv][istr] > n_max ) { n_max = anal->noise_[iapv][istr]; }
          if ( anal->noise_[iapv][istr] < n_min ) { n_min = anal->noise_[iapv][istr]; }
        }
      }
      
    } // strip loop
    
    // Calc mean and rms for peds
    if ( !anal->peds_[iapv].empty() ) { 
      p_sum /= static_cast<float>( anal->peds_[iapv].size() );
      p_sum2 /= static_cast<float>( anal->peds_[iapv].size() );
      anal->pedsMean_[iapv] = p_sum;
      anal->pedsSpread_[iapv] = sqrt( fabs(p_sum2 - p_sum*p_sum) );
    }
    
    // Calc mean and rms for noise
    if ( !anal->noise_[iapv].empty() ) { 
      n_sum /= static_cast<float>( anal->noise_[iapv].size() );
      n_sum2 /= static_cast<float>( anal->noise_[iapv].size() );
      anal->noiseMean_[iapv] = n_sum;
      anal->noiseSpread_[iapv] = sqrt( fabs(n_sum2 - n_sum*n_sum) );
    }

    // Calc mean and rms for raw noise
    if ( !anal->raw_[iapv].empty() ) { 
      r_sum /= static_cast<float>( anal->raw_[iapv].size() );
      r_sum2 /= static_cast<float>( anal->raw_[iapv].size() );
      anal->rawMean_[iapv] = r_sum;
      anal->rawSpread_[iapv] = sqrt( fabs(r_sum2 - r_sum*r_sum) );
    }
    
    // Set max and min values for peds, noise and raw noise
    if ( p_max > -1.*sistrip::maximum_ ) { anal->pedsMax_[iapv] = p_max; }
    if ( p_min < 1.*sistrip::maximum_ )  { anal->pedsMin_[iapv] = p_min; }
    if ( n_max > -1.*sistrip::maximum_ ) { anal->noiseMax_[iapv] = n_max; }
    if ( n_min < 1.*sistrip::maximum_ )  { anal->noiseMin_[iapv] = n_min; }
    if ( r_max > -1.*sistrip::maximum_ ) { anal->rawMax_[iapv] = r_max; }
    if ( r_min < 1.*sistrip::maximum_ )  { anal->rawMin_[iapv] = r_min; }
    
    // Set dead and noisy strips
    for ( uint16_t istr = 0; istr < 128; istr++ ) {
      if ( anal->noiseMin_[iapv] > sistrip::maximum_ ||
           anal->noiseMax_[iapv] > sistrip::maximum_ ) { continue; }
      if ( anal->noise_[iapv][istr] < ( anal->noiseMean_[iapv] - 5. * anal->noiseSpread_[iapv] ) ) {
        anal->dead_[iapv].push_back(istr); //@@ valid threshold???
      } 
      else if ( anal->noise_[iapv][istr] > ( anal->noiseMean_[iapv] + 5. * anal->noiseSpread_[iapv] ) ) {
        anal->noisy_[iapv].push_back(istr); //@@ valid threshold???
      }
    }
    
  } // apv loop

}
void NoiseAlgorithm::extract ( const std::vector< TH1 * > &  histos) [private, virtual]

Extracts and organises histograms.

Implements CommissioningAlgorithm.

Definition at line 24 of file NoiseAlgorithm.cc.

References a, CommissioningAnalysis::addErrorCode(), CommissioningAlgorithm::anal(), sistrip::extrainfo::commonMode_, CommissioningAlgorithm::extractFedKey(), CommissioningAnalysis::fedKey(), hNoise_, hPeds_, NoiseAnalysis::legacy_, sistrip::mlCommissioning_, sistrip::NOISE, sistrip::extrainfo::noise_, sistrip::numberOfHistos_, sistrip::extrainfo::pedestals_, sistrip::extrainfo::pedsAndCmSubNoise_, sistrip::extrainfo::pedsAndRawNoise_, indexGen::title, sistrip::unexpectedExtraInfo_, and sistrip::unexpectedTask_.

                                                            { 

  if ( !anal() ) {
    edm::LogWarning(mlCommissioning_)
      << "[NoiseAlgorithm::" << __func__ << "]"
      << " NULL pointer to Analysis object!";
    return; 
  }

  // Check number of histograms
  if ( histos.size() != 2 ) {
    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 run type
    SiStripHistoTitle title( (*ihis)->GetName() );
    if ( title.runType() != sistrip::NOISE ) {
      anal()->addErrorCode(sistrip::unexpectedTask_);
      continue;
    }
    
    // Extract peds and noise histos (check for legacy names first!)
    if ( title.extraInfo().find(sistrip::extrainfo::pedsAndRawNoise_) != std::string::npos ) {
      hPeds_.first = *ihis;
      hPeds_.second = (*ihis)->GetName();
      NoiseAnalysis* a = dynamic_cast<NoiseAnalysis*>( const_cast<CommissioningAnalysis*>( anal() ) );
      if ( a ) { a->legacy_ = true; }
    } else if ( title.extraInfo().find(sistrip::extrainfo::pedsAndCmSubNoise_) != std::string::npos ) {
      hNoise_.first = *ihis;
      hNoise_.second = (*ihis)->GetName();
      NoiseAnalysis* a = dynamic_cast<NoiseAnalysis*>( const_cast<CommissioningAnalysis*>( anal() ) );
      if ( a ) { a->legacy_ = true; }
    } else if ( title.extraInfo().find(sistrip::extrainfo::pedestals_) != std::string::npos ) {
      hPeds_.first = *ihis;
      hPeds_.second = (*ihis)->GetName();
    } else if ( title.extraInfo().find(sistrip::extrainfo::noise_) != std::string::npos ) {
      hNoise_.first = *ihis;
      hNoise_.second = (*ihis)->GetName();
    } else if ( title.extraInfo().find(sistrip::extrainfo::commonMode_) != std::string::npos ) {
      //@@ something here for CM plots?
    } else { 
      anal()->addErrorCode(sistrip::unexpectedExtraInfo_);
    }
    
  }

}
const NoiseAlgorithm::Histo & NoiseAlgorithm::hNoise ( ) const [inline]

Definition at line 52 of file NoiseAlgorithm.h.

References hNoise_.

{ return hNoise_; }
const NoiseAlgorithm::Histo & NoiseAlgorithm::hPeds ( ) const [inline]

Definition at line 50 of file NoiseAlgorithm.h.

References hPeds_.

{ return hPeds_; }

Member Data Documentation

Residuals and noise

Definition at line 46 of file NoiseAlgorithm.h.

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

Pedestals and raw noise

Definition at line 43 of file NoiseAlgorithm.h.

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