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NoiseSummaryFactory Class Reference

#include <NoiseSummaryFactory.h>

Inheritance diagram for NoiseSummaryFactory:
SummaryPlotFactory< CommissioningAnalysis *> SummaryPlotFactoryBase SummaryPlotFactoryBase

Protected Member Functions

void extract (Iterator) override
 
void format () override
 
- 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 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)
 
- Protected Attributes inherited from SummaryPlotFactoryBase
SummaryGeneratorgenerator_
 
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

◆ extract()

void NoiseSummaryFactory::extract ( Iterator  iter)
overrideprotected

Definition at line 12 of file NoiseSummaryFactory.cc.

References conversion_template_cfg::anal, isotrackApplyRegressor::bins, SummaryGenerator::fillMap(), SummaryPlotFactoryBase::generator_, SummaryPlotFactoryBase::gran_, sistrip::invalid_, SummaryPlotFactoryBase::level_, sistrip::mlSummaryPlots_, SummaryPlotFactoryBase::mon_, SiStripEnumsAndStrings::monitorable(), hgchebackDigitizer_cfi::noise, 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, sistrip::PEDESTALS_SPREAD, groupFilesInBlocks::temp, and relativeConstraints::value.

12  {
13  NoiseAnalysis* anal = dynamic_cast<NoiseAnalysis*>(iter->second);
14  if (!anal) {
15  return;
16  }
17 
18  std::vector<float> temp(128, 1. * sistrip::invalid_);
19  std::vector<std::vector<float> > value(2, temp);
20  std::vector<std::vector<float> > peds(2, temp);
21  std::vector<std::vector<float> > noise(2, temp);
22  peds[0] = anal->peds()[0];
23  peds[1] = anal->peds()[1];
24  noise[0] = anal->noise()[0];
25  noise[1] = anal->noise()[1];
26 
27  bool all_strips = false;
29  all_strips = true;
30  uint16_t bins = peds[0].size();
31  if (peds[0].size() < peds[1].size()) {
32  bins = peds[1].size();
33  }
34  for (uint16_t iped = 0; iped < bins; iped++) {
35  value[0][iped] = peds[0][iped];
36  value[1][iped] = peds[1][iped];
37  }
38  } else if (mon_ == sistrip::PEDESTALS_MEAN) {
39  value[0][0] = anal->pedsMean()[0];
40  value[1][0] = anal->pedsMean()[1];
41  } else if (mon_ == sistrip::PEDESTALS_SPREAD) {
42  value[0][0] = anal->pedsSpread()[0];
43  value[1][0] = anal->pedsSpread()[1];
44  } else if (mon_ == sistrip::PEDESTALS_MAX) {
45  value[0][0] = anal->pedsMax()[0];
46  value[1][0] = anal->pedsMax()[1];
47  } else if (mon_ == sistrip::PEDESTALS_MIN) {
48  value[0][0] = anal->pedsMin()[0];
49  value[1][0] = anal->pedsMin()[1];
50  } else if (mon_ == sistrip::NOISE_ALL_STRIPS) {
51  all_strips = true;
52  uint16_t bins = noise[0].size();
53  if (noise[0].size() < noise[1].size()) {
54  bins = noise[1].size();
55  }
56  for (uint16_t inoise = 0; inoise < bins; inoise++) {
57  value[0][inoise] = noise[0][inoise];
58  value[1][inoise] = noise[1][inoise];
59  }
60  } else if (mon_ == sistrip::NOISE_MEAN) {
61  value[0][0] = anal->noiseMean()[0];
62  value[1][0] = anal->noiseMean()[1];
63  } else if (mon_ == sistrip::NOISE_SPREAD) {
64  value[0][0] = anal->noiseSpread()[0];
65  value[1][0] = anal->noiseSpread()[1];
66  } else if (mon_ == sistrip::NOISE_MAX) {
67  value[0][0] = anal->noiseMax()[0];
68  value[1][0] = anal->noiseMax()[1];
69  } else if (mon_ == sistrip::NOISE_MIN) {
70  value[0][0] = anal->noiseMin()[0];
71  value[1][0] = anal->noiseMin()[1];
72  } else if (mon_ == sistrip::NUM_OF_DEAD) {
73  value[0][0] = 1. * anal->dead()[0].size();
74  value[1][0] = 1. * anal->dead()[1].size();
75  } else if (mon_ == sistrip::NUM_OF_NOISY) {
76  value[0][0] = 1. * anal->noisy()[0].size();
77  value[1][0] = 1. * anal->noisy()[1].size();
78  } else {
79  edm::LogWarning(mlSummaryPlots_) << "[SummaryPlotFactory::" << __func__ << "]"
80  << " Unexpected monitorable: "
82  return;
83  }
84 
85  if (!all_strips) {
88 
91 
92  } else {
93  for (uint16_t istr = 0; istr < value[0].size(); istr++) {
96  }
97 
98  for (uint16_t istr = 0; istr < value[1].size(); istr++) {
101  }
102  }
103 }
size
Write out results.
static std::string monitorable(const sistrip::Monitorable &)
sistrip::Monitorable mon_
void fillMap(const std::string &top_level_dir, const sistrip::Granularity &, const uint32_t &key, const float &value, const float &error=0.)
Definition: value.py:1
sistrip::Granularity gran_
static const char mlSummaryPlots_[]
SummaryGenerator * generator_
static const uint16_t invalid_
Definition: Constants.h:16
Histogram-based analysis for pedestal run.
Definition: NoiseAnalysis.h:15
Log< level::Warning, false > LogWarning

◆ format()

void NoiseSummaryFactory::format ( )
overrideprotected

Definition at line 107 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.

107  {
109  generator_->axisLabel("Pedestal value [adc]");
110  } else if (mon_ == sistrip::PEDESTALS_MEAN) {
111  } else if (mon_ == sistrip::PEDESTALS_SPREAD) {
112  } else if (mon_ == sistrip::PEDESTALS_MAX) {
113  } else if (mon_ == sistrip::PEDESTALS_MIN) {
114  } else if (mon_ == sistrip::NOISE_ALL_STRIPS) {
115  generator_->axisLabel("Noise [adc]");
116  } else if (mon_ == sistrip::NOISE_MEAN) {
117  } else if (mon_ == sistrip::NOISE_SPREAD) {
118  } else if (mon_ == sistrip::NOISE_MAX) {
119  } else if (mon_ == sistrip::NOISE_MIN) {
120  } else if (mon_ == sistrip::NUM_OF_DEAD) {
121  } else if (mon_ == sistrip::NUM_OF_NOISY) {
122  } else {
123  edm::LogWarning(mlSummaryPlots_) << "[SummaryPlotFactory::" << __func__ << "]"
124  << " Unexpected SummaryHisto value:"
126  }
127 }
static std::string monitorable(const sistrip::Monitorable &)
sistrip::Monitorable mon_
static const char mlSummaryPlots_[]
SummaryGenerator * generator_
Log< level::Warning, false > LogWarning
void axisLabel(const std::string &)