NoiseSummaryFactory Class Reference

#include <NoiseSummaryFactory.h>

Inheritance diagram for NoiseSummaryFactory:

Protected Member Functions
void	extract (Iterator)
void	format ()
Protected Member Functions inherited from SummaryPlotFactoryBase
void	fill (TH1 &summary_histo)
void	init (const sistrip::Monitorable &, const sistrip::Presentation &, const sistrip::View &, const std::string &top_level_dir, const sistrip::Granularity &)
	SummaryPlotFactoryBase ()
	~SummaryPlotFactoryBase ()

Additional Inherited Members
Public Types inherited from SummaryPlotFactory< CommissioningAnalysis * >
typedef std::map< uint32_t, CommissioningAnalysis * > ::const_iterator	Iterator
Public Member Functions inherited from SummaryPlotFactory< CommissioningAnalysis * >
void	fill (TH1 &summary_histo)
uint32_t	init (const sistrip::Monitorable &, const sistrip::Presentation &, const sistrip::View &, const std::string &top_level_dir, const sistrip::Granularity &, const std::map< uint32_t, CommissioningAnalysis * > &data)
	SummaryPlotFactory ()
virtual	~SummaryPlotFactory ()
Protected Attributes inherited from SummaryPlotFactoryBase
SummaryGenerator *	generator_
sistrip::Granularity	gran_
std::string	level_
sistrip::Monitorable	mon_
sistrip::Presentation	pres_
sistrip::View	view_

Detailed Description

Definition at line 6 of file NoiseSummaryFactory.h.

Member Function Documentation

void NoiseSummaryFactory::extract ( Iterator  iter )

protectedvirtual

Reimplemented from SummaryPlotFactory< CommissioningAnalysis * >.

Definition at line 12 of file NoiseSummaryFactory.cc.

References NoiseAnalysis::dead(), SummaryGenerator::fillMap(), SummaryPlotFactoryBase::generator_, SummaryPlotFactoryBase::gran_, sistrip::invalid_, SummaryPlotFactoryBase::level_, sistrip::mlSummaryPlots_, SummaryPlotFactoryBase::mon_, SiStripEnumsAndStrings::monitorable(), NoiseAnalysis::noise(), sistrip::NOISE_ALL_STRIPS, sistrip::NOISE_MAX, sistrip::NOISE_MEAN, sistrip::NOISE_MIN, sistrip::NOISE_SPREAD, NoiseAnalysis::noiseMax(), NoiseAnalysis::noiseMean(), NoiseAnalysis::noiseMin(), NoiseAnalysis::noiseSpread(), NoiseAnalysis::noisy(), sistrip::NUM_OF_DEAD, sistrip::NUM_OF_NOISY, sistrip::PEDESTALS_ALL_STRIPS, sistrip::PEDESTALS_MAX, sistrip::PEDESTALS_MEAN, sistrip::PEDESTALS_MIN, sistrip::PEDESTALS_SPREAD, NoiseAnalysis::peds(), NoiseAnalysis::pedsMax(), NoiseAnalysis::pedsMean(), NoiseAnalysis::pedsMin(), NoiseAnalysis::pedsSpread(), findQualityFiles::size, groupFilesInBlocks::temp, and relativeConstraints::value.

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

                                                 {
  
  NoiseAnalysis* anal = dynamic_cast<NoiseAnalysis*>( iter->second );
  if ( !anal ) { return; }
    
  std::vector<float> temp(128, 1. * sistrip::invalid_ );
  std::vector< std::vector<float> > value( 2, temp );
  std::vector< std::vector<float> > peds( 2, temp );
  std::vector< std::vector<float> > noise( 2, temp );
  peds[0] = anal->peds()[0];
  peds[1] = anal->peds()[1];
  noise[0] = anal->noise()[0];
  noise[1] = anal->noise()[1];

  bool all_strips = false;
  if ( mon_ == sistrip::PEDESTALS_ALL_STRIPS ) {
    all_strips = true;
    uint16_t bins = peds[0].size();
    if ( peds[0].size() < peds[1].size() ) { bins = peds[1].size(); }
    for ( uint16_t iped = 0; iped < bins; iped++ ) {
      value[0][iped] = peds[0][iped]; 
      value[1][iped] = peds[1][iped];  
    }
  } else if ( mon_ == sistrip::PEDESTALS_MEAN ) {
    value[0][0] = anal->pedsMean()[0];
    value[1][0] = anal->pedsMean()[1];
  } else if ( mon_ == sistrip::PEDESTALS_SPREAD ) { 
    value[0][0] = anal->pedsSpread()[0]; 
    value[1][0] = anal->pedsSpread()[1]; 
  } else if ( mon_ == sistrip::PEDESTALS_MAX ) { 
    value[0][0] = anal->pedsMax()[0]; 
    value[1][0] = anal->pedsMax()[1];
  } else if ( mon_ == sistrip::PEDESTALS_MIN ) { 
    value[0][0] = anal->pedsMin()[0]; 
    value[1][0] = anal->pedsMin()[1]; 
  } else if ( mon_ == sistrip::NOISE_ALL_STRIPS ) {
    all_strips = true;
    uint16_t bins = noise[0].size();
    if ( noise[0].size() < noise[1].size() ) { bins = noise[1].size(); }
    for ( uint16_t inoise = 0; inoise < bins; inoise++ ) {
      value[0][inoise] = noise[0][inoise]; 
      value[1][inoise] = noise[1][inoise]; 
    }
  } else if ( mon_ == sistrip::NOISE_MEAN ) {
    value[0][0] = anal->noiseMean()[0];
    value[1][0] = anal->noiseMean()[1];
  } else if ( mon_ == sistrip::NOISE_SPREAD ) { 
    value[0][0] = anal->noiseSpread()[0]; 
    value[1][0] = anal->noiseSpread()[1]; 
  } else if ( mon_ == sistrip::NOISE_MAX ) { 
    value[0][0] = anal->noiseMax()[0]; 
    value[1][0] = anal->noiseMax()[1]; 
  } else if ( mon_ == sistrip::NOISE_MIN ) { 
    value[0][0] = anal->noiseMin()[0]; 
    value[1][0] = anal->noiseMin()[1]; 
  } else if ( mon_ == sistrip::NUM_OF_DEAD ) { 
    value[0][0] = 1. * anal->dead()[0].size(); 
    value[1][0] = 1. * anal->dead()[1].size();
  } else if ( mon_ == sistrip::NUM_OF_NOISY ) { 
    value[0][0] = 1. * anal->noisy()[0].size(); 
    value[1][0] = 1. * anal->noisy()[1].size();
  } else { 
    edm::LogWarning(mlSummaryPlots_)
      << "[SummaryPlotFactory::" << __func__ << "]" 
      << " Unexpected monitorable: "
      << SiStripEnumsAndStrings::monitorable( SummaryPlotFactoryBase::mon_ );
    return; 
  }

  if ( !all_strips ) {

    SummaryPlotFactoryBase::generator_->fillMap( SummaryPlotFactoryBase::level_, 
                         SummaryPlotFactoryBase::gran_, 
                         iter->first, 
                         value[0][0] );
    
    SummaryPlotFactoryBase::generator_->fillMap( SummaryPlotFactoryBase::level_, 
                         SummaryPlotFactoryBase::gran_, 
                         iter->first, 
                         value[1][0] );

  } else {

    for ( uint16_t istr = 0; istr < value[0].size(); istr++ ) {
      SummaryPlotFactoryBase::generator_->fillMap( SummaryPlotFactoryBase::level_, 
                           SummaryPlotFactoryBase::gran_, 
                           iter->first, 
                           value[0][istr] );
    }
    
    for ( uint16_t istr = 0; istr < value[1].size(); istr++ ) {
      SummaryPlotFactoryBase::generator_->fillMap( SummaryPlotFactoryBase::level_, 
                           SummaryPlotFactoryBase::gran_, 
                           iter->first, 
                           value[1][istr] );
    }

  }

}

void NoiseSummaryFactory::format ( )

protectedvirtual

Reimplemented from SummaryPlotFactory< CommissioningAnalysis * >.

Definition at line 115 of file NoiseSummaryFactory.cc.

References sistrip::mlSummaryPlots_, SummaryPlotFactoryBase::mon_, SiStripEnumsAndStrings::monitorable(), sistrip::NOISE_ALL_STRIPS, sistrip::NOISE_MAX, sistrip::NOISE_MEAN, sistrip::NOISE_MIN, sistrip::NOISE_SPREAD, sistrip::NUM_OF_DEAD, sistrip::NUM_OF_NOISY, sistrip::PEDESTALS_ALL_STRIPS, sistrip::PEDESTALS_MAX, sistrip::PEDESTALS_MEAN, sistrip::PEDESTALS_MIN, and sistrip::PEDESTALS_SPREAD.

                                 {
  
  if ( mon_ == sistrip::PEDESTALS_ALL_STRIPS ) {
    generator_->axisLabel( "Pedestal value [adc]" );
  } else if ( mon_ == sistrip::PEDESTALS_MEAN ) {
  } else if ( mon_ == sistrip::PEDESTALS_SPREAD ) { 
  } else if ( mon_ == sistrip::PEDESTALS_MAX ) { 
  } else if ( mon_ == sistrip::PEDESTALS_MIN ) { 
  } else if ( mon_ == sistrip::NOISE_ALL_STRIPS ) {
    generator_->axisLabel( "Noise [adc]" );
  } else if ( mon_ == sistrip::NOISE_MEAN ) {
  } else if ( mon_ == sistrip::NOISE_SPREAD ) { 
  } else if ( mon_ == sistrip::NOISE_MAX ) { 
  } else if ( mon_ == sistrip::NOISE_MIN ) { 
  } else if ( mon_ == sistrip::NUM_OF_DEAD ) { 
  } else if ( mon_ == sistrip::NUM_OF_NOISY ) { 
  } else { 
    edm::LogWarning(mlSummaryPlots_)
      << "[SummaryPlotFactory::" << __func__ << "]" 
      << " Unexpected SummaryHisto value:"
      << SiStripEnumsAndStrings::monitorable( SummaryPlotFactoryBase::mon_ );
  } 

}