NoiseAlgorithm Class Reference

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

#include <NoiseAlgorithm.h>

Inheritance diagram for NoiseAlgorithm:

Public Member Functions
const Histo &	hNoise () const
const Histo &	hPeds () const
	NoiseAlgorithm (const edm::ParameterSet &pset, NoiseAnalysis *const )
virtual	~NoiseAlgorithm ()
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 * > &)
	NoiseAlgorithm ()

Private Attributes
Histo	hNoise_
Histo	hPeds_

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

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 ( )

inlinevirtual

Definition at line 22 of file NoiseAlgorithm.h.

{;}

NoiseAlgorithm::NoiseAlgorithm ( )

inlineprivate

Definition at line 30 of file NoiseAlgorithm.h.

{;}

Member Function Documentation

void NoiseAlgorithm::analyse ( )

privatevirtual

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(), strip(), 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 )

privatevirtual

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_.

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

                                                            { 

  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

Histo NoiseAlgorithm::hNoise_

private

Residuals and noise

Definition at line 46 of file NoiseAlgorithm.h.

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

Histo NoiseAlgorithm::hPeds_

private

Pedestals and raw noise

Definition at line 43 of file NoiseAlgorithm.h.

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