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#include "DQM/SiStripCommissioningSources/interface/DaqScopeModeTask.h"
#include "DataFormats/SiStripCommon/interface/SiStripConstants.h"
#include "DataFormats/SiStripCommon/interface/SiStripHistoTitle.h"
#include "DQMServices/Core/interface/DQMStore.h"
#include "FWCore/MessageLogger/interface/MessageLogger.h"
#include "DQM/SiStripCommon/interface/ExtractTObject.h"
#include "DQM/SiStripCommon/interface/UpdateTProfile.h"
using namespace sistrip;
// -----------------------------------------------------------------------------
//
DaqScopeModeTask::DaqScopeModeTask(DQMStore* dqm, const FedChannelConnection& conn, const edm::ParameterSet& pset)
: CommissioningTask(dqm, conn, "DaqScopeModeTask"),
scopeFrame_(),
nBins_(256), //@@ number of strips per FED channel
nBinsSpy_(298), //@@ in case of spy events includes header and trailing tick
parameters_(pset) {}
// -----------------------------------------------------------------------------
//
DaqScopeModeTask::~DaqScopeModeTask() {}
// -----------------------------------------------------------------------------
//
void DaqScopeModeTask::book() {
LogTrace(mlDqmSource_) << "[CommissioningTask::" << __func__ << "]";
std::string title;
if (not(parameters_.existsAs<bool>("isSpy") and parameters_.getParameter<bool>("isSpy"))) {
//// Scope mode histograms
title = SiStripHistoTitle(sistrip::EXPERT_HISTO,
sistrip::DAQ_SCOPE_MODE,
sistrip::FED_KEY,
fedKey(),
sistrip::LLD_CHAN,
connection().lldChannel(),
sistrip::extrainfo::scopeModeFrame_)
.title();
scopeFrame_.histo(dqm()->book1D(title, title, nBins_, -0.5, nBins_ - 0.5));
scopeFrame_.vNumOfEntries_.resize(nBins_, 0);
scopeFrame_.vSumOfContents_.resize(nBins_, 0);
scopeFrame_.vSumOfSquares_.resize(nBins_, 0);
scopeFrame_.isProfile_ = false;
} else { // use spy run to measure pedestal and tick height
std::string extra_info;
peds_.resize(2);
extra_info = sistrip::extrainfo::pedestals_;
peds_[0].isProfile_ = true;
title = SiStripHistoTitle(sistrip::EXPERT_HISTO,
sistrip::DAQ_SCOPE_MODE,
sistrip::FED_KEY,
fedKey(),
sistrip::LLD_CHAN,
connection().lldChannel(),
extra_info)
.title();
peds_[0].histo(dqm()->bookProfile(title, title, nBins_, -0.5, nBins_ * 1. - 0.5, 1025, 0., 1025.));
peds_[0].vNumOfEntries_.resize(nBins_, 0);
peds_[0].vSumOfContents_.resize(nBins_, 0);
peds_[0].vSumOfSquares_.resize(nBins_, 0);
// Noise histogram
extra_info = sistrip::extrainfo::noise_;
peds_[1].isProfile_ = true;
title = SiStripHistoTitle(sistrip::EXPERT_HISTO,
sistrip::DAQ_SCOPE_MODE,
sistrip::FED_KEY,
fedKey(),
sistrip::LLD_CHAN,
connection().lldChannel(),
extra_info)
.title();
peds_[1].histo(dqm()->bookProfile(title, title, nBins_, -0.5, nBins_ * 1. - 0.5, 1025, 0., 1025.));
peds_[1].vNumOfEntries_.resize(nBins_, 0);
peds_[1].vSumOfContents_.resize(nBins_, 0);
peds_[1].vSumOfSquares_.resize(nBins_, 0);
// Common mode histograms
cm_.resize(2);
int nbins = 1024;
for (uint16_t iapv = 0; iapv < 2; iapv++) {
title = SiStripHistoTitle(sistrip::EXPERT_HISTO,
sistrip::DAQ_SCOPE_MODE,
sistrip::FED_KEY,
fedKey(),
sistrip::APV,
connection().i2cAddr(iapv),
sistrip::extrainfo::commonMode_)
.title();
cm_[iapv].histo(dqm()->book1D(title, title, nbins, -0.5, nbins * 1. - 0.5));
cm_[iapv].isProfile_ = false;
cm_[iapv].vNumOfEntries_.resize(nbins, 0);
cm_[iapv].vNumOfEntries_.resize(nbins, 0);
}
// high and low header histograms
title = SiStripHistoTitle(sistrip::EXPERT_HISTO,
sistrip::DAQ_SCOPE_MODE,
sistrip::FED_KEY,
fedKey(),
sistrip::LLD_CHAN,
connection().lldChannel(),
sistrip::extrainfo::scopeModeHeaderLow_)
.title();
lowHeader_.histo(dqm()->book1D(title, title, nbins, -0.5, 1024 * 1. - 0.5));
lowHeader_.isProfile_ = false;
lowHeader_.vNumOfEntries_.resize(nbins, 0);
title = SiStripHistoTitle(sistrip::EXPERT_HISTO,
sistrip::DAQ_SCOPE_MODE,
sistrip::FED_KEY,
fedKey(),
sistrip::LLD_CHAN,
connection().lldChannel(),
sistrip::extrainfo::scopeModeHeaderHigh_)
.title();
highHeader_.histo(dqm()->book1D(title, title, nbins, -0.5, 1024 * 1. - 0.5));
highHeader_.isProfile_ = false;
highHeader_.vNumOfEntries_.resize(nbins, 0);
//// Scope mode histograms
title = SiStripHistoTitle(sistrip::EXPERT_HISTO,
sistrip::DAQ_SCOPE_MODE,
sistrip::FED_KEY,
fedKey(),
sistrip::LLD_CHAN,
connection().lldChannel(),
sistrip::extrainfo::scopeModeFrame_)
.title();
scopeFrame_.histo(dqm()->bookProfile(title, title, nBinsSpy_, -0.5, nBinsSpy_ * 1. - 0.5, 1025, 0., 1025.));
scopeFrame_.vNumOfEntries_.resize(nBinsSpy_, 0);
scopeFrame_.vSumOfContents_.resize(nBinsSpy_, 0);
scopeFrame_.vSumOfSquares_.resize(nBinsSpy_, 0);
scopeFrame_.isProfile_ = true;
}
}
// -----------------------------------------------------------------------------
//
void DaqScopeModeTask::fill(const SiStripEventSummary& summary, const edm::DetSet<SiStripRawDigi>& digis) {
// Only fill every 'N' events
if (not(parameters_.existsAs<bool>("isSpy") and parameters_.getParameter<bool>("isSpy"))) {
if (!updateFreq() || fillCntr() % updateFreq()) {
return;
}
}
if (digis.data.size() != nBins_) { //@@ check scope mode length?
edm::LogWarning(mlDqmSource_) << "[DaqScopeModeTask::" << __func__ << "]"
<< " Unexpected number of digis (" << digis.data.size()
<< ") wrt number of histogram bins (" << nBins_ << ")!";
}
if (not(parameters_.existsAs<bool>("isSpy") and parameters_.getParameter<bool>("isSpy"))) {
uint16_t bins = digis.data.size() < nBins_ ? digis.data.size() : nBins_;
for (uint16_t ibin = 0; ibin < bins; ibin++) {
updateHistoSet(scopeFrame_, ibin, digis.data[ibin].adc());
}
} else {
// fill the pedestal histograms as done in the pedestal task
// Check number of digis
uint16_t nbins = peds_[0].vNumOfEntries_.size();
if (digis.data.size() < nbins) {
nbins = digis.data.size();
}
uint16_t napvs = nbins / 128;
std::vector<uint32_t> cm;
cm.resize(napvs, 0);
// Calc common mode for both APVs
std::vector<uint16_t> adc;
for (uint16_t iapv = 0; iapv < napvs; iapv++) {
adc.clear();
adc.reserve(128);
for (uint16_t ibin = 0; ibin < 128; ibin++) {
if ((iapv * 128) + ibin < nbins) {
adc.push_back(digis.data[(iapv * 128) + ibin].adc());
}
}
sort(adc.begin(), adc.end());
uint16_t index = adc.size() % 2 ? adc.size() / 2 : adc.size() / 2 - 1;
if (!adc.empty()) {
cm[iapv] = static_cast<uint32_t>(adc[index]);
}
}
for (uint16_t ibin = 0; ibin < nbins; ibin++) {
float digiVal = digis.data[ibin].adc();
updateHistoSet(peds_[0], ibin, digiVal); // peds and raw noise
float diff = digiVal - static_cast<float>(cm[ibin / 128]);
updateHistoSet(peds_[1], ibin, diff); // residuals and real noise
}
if (cm.size() < cm_.size()) {
edm::LogWarning(mlDqmSource_) << "[PedestalsTask::" << __func__ << "]"
<< " Fewer CM values than expected: " << cm.size();
}
updateHistoSet(cm_[0], cm[0]);
updateHistoSet(cm_[1], cm[1]);
}
}
// -----------------------------------------------------------------------------
//
void DaqScopeModeTask::fill(const SiStripEventSummary& summary,
const edm::DetSet<SiStripRawDigi>& digis,
const edm::DetSet<SiStripRawDigi>& digisAlt) {
// Only fill every 'N' events
if (not(parameters_.existsAs<bool>("isSpy") and parameters_.getParameter<bool>("isSpy"))) {
if (!updateFreq() || fillCntr() % updateFreq()) {
return;
}
}
if (digis.data.size() != nBins_) { //@@ check scope mode length?
edm::LogWarning(mlDqmSource_) << "[DaqScopeModeTask::" << __func__ << "]"
<< " Unexpected number of digis (" << digis.data.size()
<< ") wrt number of histogram bins (" << nBins_ << ")!";
}
if (not(parameters_.existsAs<bool>("isSpy") and parameters_.getParameter<bool>("isSpy"))) {
uint16_t bins = digis.data.size() < nBins_ ? digis.data.size() : nBins_;
for (uint16_t ibin = 0; ibin < bins; ibin++) {
updateHistoSet(scopeFrame_, ibin, digis.data[ibin].adc());
}
} else {
// fill the pedestal histograms as done in the pedestal task
// Check number of digis
uint16_t nbins = peds_[0].vNumOfEntries_.size();
if (digis.data.size() < nbins) {
nbins = digis.data.size();
}
uint16_t napvs = nbins / 128;
std::vector<uint32_t> cm;
cm.resize(napvs, 0);
// Calc common mode for both APVs
std::vector<uint16_t> adc;
for (uint16_t iapv = 0; iapv < napvs; iapv++) {
adc.clear();
adc.reserve(128);
for (uint16_t ibin = 0; ibin < 128; ibin++) {
if ((iapv * 128) + ibin < nbins) {
adc.push_back(digis.data[(iapv * 128) + ibin].adc());
}
}
sort(adc.begin(), adc.end());
uint16_t index = adc.size() % 2 ? adc.size() / 2 : adc.size() / 2 - 1;
if (!adc.empty()) {
cm[iapv] = static_cast<uint32_t>(adc[index]);
}
}
/// Calculate pedestal
for (uint16_t ibin = 0; ibin < nbins; ibin++) {
float digiVal = digis.data[ibin].adc();
updateHistoSet(peds_[0], ibin, digiVal); // peds and raw noise
float diff = digiVal - static_cast<float>(cm[ibin / 128]);
updateHistoSet(peds_[1], ibin, diff); // residuals and real noise
}
if (cm.size() < cm_.size()) {
edm::LogWarning(mlDqmSource_) << "[PedestalsTask::" << __func__ << "]"
<< " Fewer CM values than expected: " << cm.size();
}
updateHistoSet(cm_[0], cm[0]);
updateHistoSet(cm_[1], cm[1]);
uint16_t bins = digisAlt.data.size() < nBinsSpy_ ? digisAlt.data.size() : nBinsSpy_;
for (uint16_t ibin = 0; ibin < bins; ibin++) {
updateHistoSet(scopeFrame_, ibin, digisAlt.data[ibin].adc());
}
// Header low and high for both APVs
std::vector<uint32_t> adcHeader_high;
std::vector<uint32_t> adcHeader_low;
float threshold_high = (digisAlt.data[286].adc() + digisAlt.data[287].adc()) / 4;
float threshold_low = 100;
int minNumberForHeader = 4;
bool goodHeaderFound = false;
int nConsecutiveHigh = 0;
adcHeader_high.clear();
adcHeader_high.reserve(30);
adcHeader_low.clear();
adcHeader_low.reserve(30);
for (uint16_t ibin = 6; ibin < 11; ibin++) {
if (digisAlt.data[ibin].adc() > threshold_high) {
nConsecutiveHigh++;
}
}
if (nConsecutiveHigh > minNumberForHeader)
goodHeaderFound = true; // if nConsecutiveHigh > 4 --> good header found
if (goodHeaderFound == false)
return;
for (uint16_t ibin = 0; ibin < 30; ibin++) {
if (digisAlt.data[ibin].adc() > threshold_high &&
goodHeaderFound) { // save of samples above avg(trailing ticks)/4
adcHeader_high.push_back(digisAlt.data[ibin].adc());
}
if (digisAlt.data[ibin].adc() < threshold_low && goodHeaderFound) {
adcHeader_low.push_back(digisAlt.data[ibin].adc());
}
}
if (adcHeader_low.empty() || adcHeader_high.empty()) {
return;
}
for (uint16_t i = 0; i < adcHeader_low.size(); i++) {
updateHistoSet(lowHeader_, adcHeader_low[i]);
}
for (uint16_t i = 0; i < adcHeader_high.size(); i++) {
updateHistoSet(highHeader_, adcHeader_high[i]);
}
}
}
// -----------------------------------------------------------------------------
//
void DaqScopeModeTask::fill(const SiStripEventSummary& summary,
const edm::DetSet<SiStripRawDigi>& digis,
const edm::DetSet<SiStripRawDigi>& digisAlt,
const std::vector<uint16_t>& stripOnCluster) {
// Only fill every 'N' events
if (not(parameters_.existsAs<bool>("isSpy") and parameters_.getParameter<bool>("isSpy"))) {
if (!updateFreq() || fillCntr() % updateFreq()) {
return;
}
}
if (digis.data.size() != nBins_) { //@@ check scope mode length?
edm::LogWarning(mlDqmSource_) << "[DaqScopeModeTask::" << __func__ << "]"
<< " Unexpected number of digis (" << digis.data.size()
<< ") wrt number of histogram bins (" << nBins_ << ")!";
}
if (not(parameters_.existsAs<bool>("isSpy") and parameters_.getParameter<bool>("isSpy"))) {
uint16_t bins = digis.data.size() < nBins_ ? digis.data.size() : nBins_;
for (uint16_t ibin = 0; ibin < bins; ibin++) {
updateHistoSet(scopeFrame_, ibin, digis.data[ibin].adc());
}
} else {
// fill the pedestal histograms as done in the pedestal task
uint16_t nbins = peds_[0].vNumOfEntries_.size();
if (digis.data.size() < nbins) {
nbins = digis.data.size();
}
uint16_t napvs = nbins / 128;
std::vector<uint32_t> cm;
cm.resize(napvs, 0);
// Calc common mode for both APVs
std::vector<uint16_t> adc;
for (uint16_t iapv = 0; iapv < napvs; iapv++) {
adc.clear();
adc.reserve(128);
for (uint16_t ibin = 0; ibin < 128; ibin++) {
if ((iapv * 128) + ibin < nbins) {
if (std::find(stripOnCluster.begin(), stripOnCluster.end(), (iapv * 128) + ibin) ==
stripOnCluster.end()) // if not found, strip is good
adc.push_back(digis.data[(iapv * 128) + ibin].adc());
}
}
sort(adc.begin(), adc.end());
uint16_t index = adc.size() % 2 ? adc.size() / 2 : adc.size() / 2 - 1;
if (!adc.empty()) {
cm[iapv] = static_cast<uint32_t>(adc[index]);
}
}
/// Calculate pedestal
for (uint16_t ibin = 0; ibin < nbins; ibin++) {
if (std::find(stripOnCluster.begin(), stripOnCluster.end(), ibin) != stripOnCluster.end()) {
continue;
}
float digiVal = digis.data[ibin].adc();
updateHistoSet(peds_[0], ibin, digiVal); // peds and raw noise
float diff = digiVal - static_cast<float>(cm[ibin / 128]);
updateHistoSet(peds_[1], ibin, diff); // residuals and real noise
}
if (cm.size() < cm_.size()) {
edm::LogWarning(mlDqmSource_) << "[PedestalsTask::" << __func__ << "]"
<< " Fewer CM values than expected: " << cm.size();
}
updateHistoSet(cm_[0], cm[0]);
updateHistoSet(cm_[1], cm[1]);
uint16_t bins = digisAlt.data.size() < nBinsSpy_ ? digisAlt.data.size() : nBinsSpy_;
for (uint16_t ibin = 0; ibin < bins; ibin++) {
updateHistoSet(scopeFrame_, ibin, digisAlt.data[ibin].adc());
}
// Header low and high for both APVs
std::vector<uint32_t> adcHeader_high;
std::vector<uint32_t> adcHeader_low;
float threshold_high = (digisAlt.data[286].adc() + digisAlt.data[287].adc()) / 4;
float threshold_low = 120;
int minNumberForHeader = 4;
bool goodHeaderFound = false;
int nConsecutiveHigh = 0;
adcHeader_high.clear();
adcHeader_high.reserve(30);
adcHeader_low.clear();
adcHeader_low.reserve(30);
for (uint16_t ibin = 6; ibin < 11; ibin++) {
if (digisAlt.data[ibin].adc() > threshold_high) {
nConsecutiveHigh++;
}
}
if (nConsecutiveHigh > minNumberForHeader)
goodHeaderFound = true; // if nConsecutiveHigh > 4 --> good header found
if (goodHeaderFound == false)
return;
for (uint16_t ibin = 0; ibin < 30; ibin++) {
if (digisAlt.data[ibin].adc() > threshold_high &&
goodHeaderFound) { // save of samples above avg(trailing ticks)/4
adcHeader_high.push_back(digisAlt.data[ibin].adc());
}
if (digisAlt.data[ibin].adc() < threshold_low && goodHeaderFound) {
adcHeader_low.push_back(digisAlt.data[ibin].adc());
}
}
if (adcHeader_low.empty() || adcHeader_high.empty()) {
return;
}
for (uint16_t i = 0; i < adcHeader_low.size(); i++) {
updateHistoSet(lowHeader_, adcHeader_low[i]);
}
for (uint16_t i = 0; i < adcHeader_high.size(); i++) {
updateHistoSet(highHeader_, adcHeader_high[i]);
}
}
}
// -----------------------------------------------------------------------------
//
void DaqScopeModeTask::update() {
if (not(parameters_.existsAs<bool>("isSpy") and parameters_.getParameter<bool>("isSpy")))
updateHistoSet(scopeFrame_);
else {
updateHistoSet(peds_[0]);
TProfile* histo = ExtractTObject<TProfile>().extract(peds_[1].histo());
for (uint16_t ii = 0; ii < peds_[1].vNumOfEntries_.size(); ++ii) {
float mean = 0.;
float spread = 0.;
float entries = peds_[1].vNumOfEntries_[ii];
if (entries > 0.) {
mean = peds_[1].vSumOfContents_[ii] / entries;
spread = sqrt(peds_[1].vSumOfSquares_[ii] / entries - mean * mean);
}
float noise = spread;
float error = 0; // sqrt(entries) / entries;
UpdateTProfile::setBinContent(histo, ii + 1, entries, noise, error);
}
updateHistoSet(cm_[0]);
updateHistoSet(cm_[1]);
updateHistoSet(scopeFrame_);
updateHistoSet(lowHeader_);
updateHistoSet(highHeader_);
}
}
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