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// -*- C++ -*-
//
// Package: SiPixelGainCalibrationAnalysis
// Class: SiPixelGainCalibrationAnalysis
//
/**\class SiPixelGainCalibrationAnalysis SiPixelGainCalibrationAnalysis.cc CalibTracker/SiPixelGainCalibrationAnalysis/src/SiPixelGainCalibrationAnalysis.cc
Description: <one line class summary>
Implementation:
<Notes on implementation>
*/
//
// Original Author: Freya Blekman
// Created: Wed Nov 14 15:02:06 CET 2007
//
//
// user include files
#include "SiPixelGainCalibrationAnalysis.h"
#include <sstream>
#include <vector>
#include <cmath>
#include "TGraphErrors.h"
#include "TMath.h"
#include "FWCore/Utilities/interface/isFinite.h"
using std::cout;
using std::endl;
//
// constructors and destructor
//
SiPixelGainCalibrationAnalysis::SiPixelGainCalibrationAnalysis(const edm::ParameterSet &iConfig)
: SiPixelOfflineCalibAnalysisBase(iConfig),
conf_(iConfig),
bookkeeper_(),
bookkeeper_pixels_(),
nfitparameters_(iConfig.getUntrackedParameter<int>("numberOfFitParameters", 2)),
fitfunction_(iConfig.getUntrackedParameter<std::string>("fitFunctionRootFormula", "pol1")),
listofdetids_(conf_.getUntrackedParameter<std::vector<uint32_t> >("listOfDetIDs")),
ignoreMode_(conf_.getUntrackedParameter<bool>("ignoreMode", false)),
reject_plateaupoints_(iConfig.getUntrackedParameter<bool>("suppressPlateauInFit", true)),
reject_single_entries_(iConfig.getUntrackedParameter<bool>("suppressPointsWithOneEntryOrLess", true)),
plateau_max_slope_(iConfig.getUntrackedParameter<double>("plateauSlopeMax", 1.0)),
reject_first_point_(iConfig.getUntrackedParameter<bool>("rejectVCalZero", true)),
reject_badpoints_frac_(iConfig.getUntrackedParameter<double>("suppressZeroAndPlateausInFitFrac", 0)),
bookBIGCalibPayload_(iConfig.getUntrackedParameter<bool>("saveFullPayloads", false)),
savePixelHists_(iConfig.getUntrackedParameter<bool>("savePixelLevelHists", false)),
chi2Threshold_(iConfig.getUntrackedParameter<double>("minChi2NDFforHistSave", 10)),
chi2ProbThreshold_(iConfig.getUntrackedParameter<double>("minChi2ProbforHistSave", 0.05)),
maxGainInHist_(iConfig.getUntrackedParameter<double>("maxGainInHist", 10)),
maxChi2InHist_(iConfig.getUntrackedParameter<double>("maxChi2InHist", 25)),
saveALLHistograms_(iConfig.getUntrackedParameter<bool>("saveAllHistograms", false)),
filldb_(iConfig.getUntrackedParameter<bool>("writeDatabase", false)),
writeSummary_(iConfig.getUntrackedParameter<bool>("writeSummary", true)),
recordName_(conf_.getParameter<std::string>("record")),
appendMode_(conf_.getUntrackedParameter<bool>("appendMode", true)),
/*theGainCalibrationDbInput_(0),
theGainCalibrationDbInputOffline_(0),
theGainCalibrationDbInputHLT_(0),
theGainCalibrationDbInputService_(iConfig),*/
gainlow_(10.),
gainhi_(0.),
pedlow_(255.),
pedhi_(0.),
useVcalHigh_(conf_.getParameter<bool>("useVCALHIGH")),
scalarVcalHigh_VcalLow_(conf_.getParameter<double>("vcalHighToLowConversionFac")) {
if (reject_single_entries_)
min_nentries_ = 1;
else
min_nentries_ = 0;
::putenv((char *)"CORAL_AUTH_USER=me");
::putenv((char *)"CORAL_AUTH_PASSWORD=test");
edm::LogInfo("SiPixelGainCalibrationAnalysis") << "now using fit function " << fitfunction_ << ", which has "
<< nfitparameters_ << " free parameters. " << std::endl;
func_ = new TF1("func", fitfunction_.c_str(), 0, 256 * scalarVcalHigh_VcalLow_);
graph_ = new TGraphErrors();
currentDetID_ = 0;
summary_.open("SummaryPerDetID.txt");
statusNumbers_ = new int[10];
for (int ii = 0; ii < 10; ii++)
statusNumbers_[ii] = 0;
}
SiPixelGainCalibrationAnalysis::~SiPixelGainCalibrationAnalysis() {}
// member functions
//
// ------------ method called once each job just before starting event loop ------------
std::vector<float> SiPixelGainCalibrationAnalysis::CalculateAveragePerColumn(uint32_t detid, std::string label) {
std::vector<float> result;
int ncols = bookkeeper_[detid][label]->getNbinsX();
int nrows = bookkeeper_[detid][label]->getNbinsY();
for (int icol = 1; icol <= ncols; ++icol) {
float val = 0;
float ntimes = 0;
for (int irow = 1; irow <= nrows; ++irow) {
val += bookkeeper_[detid][label]->getBinContent(icol, irow);
ntimes++;
}
val /= ntimes;
result.push_back(val);
}
return result;
}
bool SiPixelGainCalibrationAnalysis::checkCorrectCalibrationType() {
if (calibrationMode_ == "GainCalibration")
return true;
else if (ignoreMode_ == true)
return true;
else if (calibrationMode_ == "unknown") {
edm::LogInfo("SiPixelGainCalibrationAnalysis")
<< "calibration mode is: " << calibrationMode_ << ", continuing anyway...";
return true;
} else {
// edm::LogError("SiPixelGainCalibrationAnalysis") << "unknown calibration mode for Gain calibration, should be \"Gain\" and is \"" << calibrationMode_ << "\"";
}
return false;
}
void SiPixelGainCalibrationAnalysis::calibrationSetup(const edm::EventSetup &) {}
//------- summary printing method. Very verbose.
void SiPixelGainCalibrationAnalysis::printSummary() {
uint32_t detid = 0;
for (std::map<uint32_t, std::map<std::string, MonitorElement *> >::const_iterator idet = bookkeeper_.begin();
idet != bookkeeper_.end();
++idet) {
if (detid == idet->first)
continue; // only do things once per detid
detid = idet->first;
std::vector<float> gainvec = CalculateAveragePerColumn(detid, "gain_2d");
std::vector<float> pedvec = CalculateAveragePerColumn(detid, "ped_2d");
std::vector<float> chi2vec = CalculateAveragePerColumn(detid, "chi2_2d");
std::ostringstream summarytext;
summarytext << "Summary for det ID " << detid << "(" << translateDetIdToString(detid) << ")\n";
summarytext << "\t Following: values per column: column #, gain, pedestal, chi2\n";
for (uint32_t i = 0; i < gainvec.size(); i++)
summarytext << "\t " << i << " \t" << gainvec[i] << " \t" << pedvec[i] << " \t" << chi2vec[i] << "\n";
summarytext << "\t list of pixels with high chi2 (chi2> " << chi2Threshold_ << "): \n";
for (std::map<std::string, MonitorElement *>::const_iterator ipix = bookkeeper_pixels_[detid].begin();
ipix != bookkeeper_pixels_[detid].end();
++ipix)
summarytext << "\t " << ipix->first << "\n";
edm::LogInfo("SiPixelGainCalibrationAnalysis") << summarytext.str() << std::endl;
}
if (summary_.is_open()) {
summary_.close();
summary_.open("Summary.txt");
summary_ << "Total Number of Pixel computed :" << statusNumbers_[9] << endl;
summary_ << "Number of pixel tagged with status :" << endl;
for (int ii = 0; ii < 9; ii++)
summary_ << ii << " -> " << statusNumbers_[ii] << " ~ "
<< double(statusNumbers_[ii]) / double(statusNumbers_[9]) * 100. << " %" << endl;
summary_.close();
}
}
// ------------ method called once each job just after ending the event loop ------------
void SiPixelGainCalibrationAnalysis::calibrationEnd() {
if (writeSummary_)
printSummary();
// this is where we loop over all histograms and save the database objects
if (filldb_)
fillDatabase();
}
//-----------method to fill the database
void SiPixelGainCalibrationAnalysis::fillDatabase() {
// only create when necessary.
// process the minimum and maximum gain & ped values...
edm::LogError("SiPixelGainCalibration::fillDatabase()")
<< "PLEASE do not fill the database directly from the gain calibration analyzer. This function is currently "
"disabled and no DB payloads will be produced!"
<< std::endl;
}
// ------------ method called to do fits to all objects available ------------
bool SiPixelGainCalibrationAnalysis::doFits(uint32_t detid, std::vector<SiPixelCalibDigi>::const_iterator ipix) {
float lowmeanval = 255;
float highmeanval = 0;
bool makehistopersistent = saveALLHistograms_;
std::vector<uint32_t>::const_iterator detidfinder = find(listofdetids_.begin(), listofdetids_.end(), detid);
if (detidfinder != listofdetids_.end())
makehistopersistent = true;
// first, fill the input arrays to the TLinearFitter.
double xvals[257];
double yvals[256];
double yerrvals[256];
double xvalsall[257];
double yvalsall[256];
double yerrvalsall[256];
int npoints = 0;
int nallpoints = 0;
bool use_point = true;
int status = 0;
statusNumbers_[9]++;
bookkeeper_[detid]["status_2d"]->setBinContent(ipix->col() + 1, ipix->row() + 1, 0);
if (writeSummary_ && detid != currentDetID_) {
currentDetID_ = detid;
summary_ << endl << "DetId_" << currentDetID_ << endl;
}
for (uint32_t ii = 0; ii < ipix->getnpoints() && ii < 200; ii++) {
// std::cout << ipix->getsum(ii) << " " << ipix->getnentries(ii) << " " << ipix->getsumsquares(ii) << std::endl;
nallpoints++;
if (useVcalHigh_) {
xvalsall[ii] = vCalValues_[ii] * scalarVcalHigh_VcalLow_;
} else
xvalsall[ii] = vCalValues_[ii];
yerrvalsall[ii] = yvalsall[ii] = 0;
if (ipix->getnentries(ii) > min_nentries_) {
yvalsall[ii] = ipix->getsum(ii) / (float)ipix->getnentries(ii);
yerrvalsall[ii] = ipix->getsumsquares(ii) / (float)(ipix->getnentries(ii));
yerrvalsall[ii] -= pow(yvalsall[ii], 2);
yerrvalsall[ii] = sqrt(yerrvalsall[ii]) / sqrt(ipix->getnentries(ii));
if (yvalsall[ii] < lowmeanval)
lowmeanval = yvalsall[ii];
if (yvalsall[ii] > highmeanval)
highmeanval = yvalsall[ii];
}
}
// calculate plateau value from last 4 entries
double plateauval = 0;
bool noPlateau = false;
if (nallpoints >= 4) {
for (int ii = nallpoints - 1; ii > nallpoints - 5; --ii)
plateauval += yvalsall[ii];
plateauval /= 4;
for (int ii = nallpoints - 1; ii > nallpoints - 5; --ii) {
if (fabs(yvalsall[ii] - plateauval) > 5) {
plateauval = 255;
noPlateau = true;
continue;
}
}
int NbofPointsInPlateau = 0;
for (int ii = 0; ii < nallpoints; ++ii)
if (fabs(yvalsall[ii] - plateauval) < 10 || yvalsall[ii] == 0)
NbofPointsInPlateau++;
//summary_<<"row_"<<ipix->row()<<" col_"<<ipix->col()<<" "<<plateauval<<" "<<NbofPointsInPlateau<<" "<<nallpoints<<endl;
if (NbofPointsInPlateau >= (nallpoints - 2)) {
status = -2;
bookkeeper_[detid]["status_2d"]->setBinContent(ipix->col() + 1, ipix->row() + 1, status);
if (writeSummary_) {
summary_ << "row_" << ipix->row() << " col_" << ipix->col() << " status_" << status << endl;
statusNumbers_[abs(status)]++;
}
return false;
}
} else
plateauval = 255;
double maxgoodvalinfit = plateauval * (1. - reject_badpoints_frac_);
npoints = 0;
for (int ii = 0; ii < nallpoints; ++ii) {
// now selecting the appropriate points for the fit.
use_point = true;
if (reject_first_point_ && xvalsall[ii] < 0.1)
use_point = false;
if (ipix->getnentries(ii) <= min_nentries_ && reject_single_entries_)
use_point = false;
if (ipix->getnentries(ii) == 0 && reject_badpoints_)
use_point = false;
if (yvalsall[ii] > maxgoodvalinfit && !noPlateau)
use_point = false;
if (ii > 1 && fabs(yvalsall[ii] - yvalsall[ii - 1]) < 5. && yvalsall[ii] > 0.8 * maxgoodvalinfit &&
reject_plateaupoints_) {
break;
}
if (use_point) {
xvals[npoints] = xvalsall[ii];
yvals[npoints] = yvalsall[ii];
yerrvals[npoints] = yerrvalsall[ii];
npoints++;
}
}
float chi2, slope, intercept, prob, slopeerror, intercepterror;
// now check on number of points. If bad just start taking the first 4:
if (npoints < 4) {
npoints = 0;
for (int ii = 0; ii < nallpoints && npoints < 4 && yvalsall[ii] < plateauval * 0.97; ++ii) {
if (yvalsall[ii] > 0) {
if (ii > 0 && yvalsall[ii] - yvalsall[ii - 1] < 0.1)
continue;
xvals[npoints] = xvalsall[ii];
yvals[npoints] = yvalsall[ii];
yerrvals[npoints] = yerrvalsall[ii];
npoints++;
}
}
}
if (npoints < 2) {
status = -7;
bookkeeper_[detid]["status_2d"]->setBinContent(ipix->col() + 1, ipix->row() + 1, status);
if (writeSummary_) {
summary_ << "row_" << ipix->row() << " col_" << ipix->col() << " status_" << status << endl;
statusNumbers_[abs(status)]++;
}
std::ostringstream pixelinfo;
pixelinfo << "GainCurve_row_" << ipix->row() << "_col_" << ipix->col();
std::string tempname = translateDetIdToString(detid);
tempname += "_";
tempname += pixelinfo.str();
setDQMDirectory(detid);
bookkeeper_pixels_[detid][pixelinfo.str()] = bookDQMHistogram1D(
detid, pixelinfo.str(), tempname, 105 * nallpoints, xvalsall[0], xvalsall[nallpoints - 1] * 1.05);
for (int ii = 0; ii < nallpoints; ++ii)
bookkeeper_pixels_[detid][pixelinfo.str()]->Fill(xvalsall[ii], yvalsall[ii]);
return false;
}
// std::cout << "starting fit!" << std::endl;
graph_->Set(npoints);
func_->SetParameter(0, 50.);
func_->SetParameter(1, 0.25);
for (int ipointtemp = 0; ipointtemp < npoints; ++ipointtemp) {
graph_->SetPoint(ipointtemp, xvals[ipointtemp], yvals[ipointtemp]);
graph_->SetPointError(ipointtemp, 0, yerrvals[ipointtemp]);
}
Int_t tempresult = graph_->Fit(func_, "FQ0N");
slope = func_->GetParameter(1);
slopeerror = func_->GetParError(1);
intercept = func_->GetParameter(0);
intercepterror = func_->GetParError(0);
chi2 = func_->GetChisquare() / ((float)npoints - func_->GetNpar());
prob = TMath::Prob(func_->GetChisquare(), npoints - func_->GetNpar());
size_t ntimes = 0;
while ((edm::isNotFinite(slope) || edm::isNotFinite(intercept)) && ntimes < 10) {
ntimes++;
makehistopersistent = true;
// std::cout << slope << " " << intercept << " " << prob << std::endl;
edm::LogWarning("SiPixelGainCalibrationAnalysis") << "impossible to fit values, try " << ntimes << ": ";
for (int ii = 0; ii < npoints; ++ii) {
edm::LogWarning("SiPixelGainCalibrationAnalysis")
<< "vcal " << xvals[ii] << " response: " << yvals[ii] << "+/-" << yerrvals[ii] << std::endl;
}
tempresult = graph_->Fit(func_, "FQ0NW");
slope = func_->GetParameter(1);
slopeerror = func_->GetParError(1);
intercept = func_->GetParameter(0);
intercepterror = func_->GetParError(0);
chi2 = func_->GetChisquare() / ((float)npoints - func_->GetNpar());
prob = TMath::Prob(func_->GetChisquare(), npoints - func_->GetNpar());
}
if (tempresult == 0)
status = 1;
else
status = 0;
if (slope != 0)
slope = 1. / slope;
if (edm::isNotFinite(slope) || edm::isNotFinite(intercept)) {
status = -6;
bookkeeper_[detid]["status_2d"]->setBinContent(ipix->col() + 1, ipix->row() + 1, status);
if (writeSummary_) {
summary_ << "row_" << ipix->row() << " col_" << ipix->col() << " status_" << status << endl;
statusNumbers_[abs(status)]++;
}
//return false;
}
if (chi2 > chi2Threshold_ && chi2Threshold_ >= 0)
status = 5;
if (prob < chi2ProbThreshold_)
status = 5;
if (noPlateau)
status = 3;
if (nallpoints < 4)
status = -7;
if (TMath::Abs(slope > maxGainInHist_) || slope < 0)
status = -8;
if (status != 1)
makehistopersistent = true;
statusNumbers_[abs(status)]++;
if (slope < gainlow_)
gainlow_ = slope;
if (slope > gainhi_)
gainhi_ = slope;
if (intercept > pedhi_)
pedhi_ = intercept;
if (intercept < pedlow_)
pedlow_ = intercept;
bookkeeper_[detid]["gain_1d"]->Fill(slope);
if (slope > maxGainInHist_) {
makehistopersistent = true;
edm::LogWarning("SiPixelGainCalibration")
<< "For DETID " << detid << "pixel row,col " << ipix->row() << "," << ipix->col() << " Gain was measured to be "
<< slope << " which is outside the range of the summary plot (" << maxGainInHist_ << ") !!!! " << std::endl;
}
bookkeeper_[detid]["dynamicrange_2d"]->setBinContent(ipix->col() + 1, ipix->row() + 1, highmeanval - lowmeanval);
bookkeeper_[detid]["plateau_2d"]->setBinContent(ipix->col() + 1, ipix->row() + 1, highmeanval);
bookkeeper_[detid]["gain_2d"]->setBinContent(ipix->col() + 1, ipix->row() + 1, slope);
bookkeeper_[detid]["errorgain_2d"]->setBinContent(ipix->col() + 1, ipix->row() + 1, slopeerror);
bookkeeper_[detid]["ped_1d"]->Fill(intercept);
bookkeeper_[detid]["ped_2d"]->setBinContent(ipix->col() + 1, ipix->row() + 1, intercept);
bookkeeper_[detid]["errorped_2d"]->setBinContent(ipix->col() + 1, ipix->row() + 1, intercepterror);
bookkeeper_[detid]["chi2_1d"]->Fill(chi2);
bookkeeper_[detid]["chi2_2d"]->setBinContent(ipix->col() + 1, ipix->row() + 1, chi2);
bookkeeper_[detid]["prob_1d"]->Fill(prob);
bookkeeper_[detid]["prob_2d"]->setBinContent(ipix->col() + 1, ipix->row() + 1, prob);
bookkeeper_[detid]["lowpoint_1d"]->Fill(xvals[0]);
bookkeeper_[detid]["lowpoint_2d"]->setBinContent(ipix->col() + 1, ipix->row() + 1, xvals[0]);
bookkeeper_[detid]["highpoint_1d"]->Fill(xvals[npoints - 1]);
bookkeeper_[detid]["highpoint_2d"]->setBinContent(ipix->col() + 1, ipix->row() + 1, xvals[npoints - 1]);
bookkeeper_[detid]["nfitpoints_1d"]->Fill(npoints);
bookkeeper_[detid]["endpoint_1d"]->Fill((255 - intercept) * slope);
bookkeeper_[detid]["status_2d"]->setBinContent(ipix->col() + 1, ipix->row() + 1, status);
if (!savePixelHists_)
return true;
if (detidfinder == listofdetids_.end() && !listofdetids_.empty())
return true;
if (makehistopersistent) {
std::ostringstream pixelinfo;
pixelinfo << "GainCurve_row_" << ipix->row() << "_col_" << ipix->col();
std::string tempname = translateDetIdToString(detid);
tempname += "_";
tempname += pixelinfo.str();
// and book the histo
// fill the last value of the vcal array...
setDQMDirectory(detid);
bookkeeper_pixels_[detid][pixelinfo.str()] = bookDQMHistogram1D(
detid, pixelinfo.str(), tempname, 105 * nallpoints, xvalsall[0], xvalsall[nallpoints - 1] * 1.05);
edm::LogInfo("SiPixelGainCalibrationAnalysis")
<< "now saving histogram for pixel " << tempname << ", gain = " << slope << ", pedestal = " << intercept
<< ", chi2/NDF=" << chi2 << "(prob:" << prob << "), fit status " << status;
for (int ii = 0; ii < nallpoints; ++ii) {
// std::cout << xvalsall[ii]<<","<<yvalsall[ii]<< " " << tempfloats[ii] << std::endl;
bookkeeper_pixels_[detid][pixelinfo.str()]->Fill(xvalsall[ii], yvalsall[ii]);
}
// addTF1ToDQMMonitoringElement(bookkeeper_pixels_[detid][pixelinfo.str()],func_);
if (writeSummary_) {
summary_ << "row_" << ipix->row() << " col_" << ipix->col();
summary_ << " status_" << status;
summary_ << endl;
//std::cout<<detid<<" "<<"row " <<ipix->row()<<" col "<<ipix->col()<<" "<<status<<" "<<chi2<<" "<<prob<<" "<<npoints<<" "<<xvals[0]<<" "<<xvals[npoints-1]<<" "<<plateauval<<std::endl;
}
}
return true;
}
// ------------ method called to do fill new detids ------------
void SiPixelGainCalibrationAnalysis::newDetID(uint32_t detid) {
setDQMDirectory(detid);
std::string tempname = translateDetIdToString(detid);
bookkeeper_[detid]["gain_1d"] = bookDQMHistogram1D(detid, "Gain1d", "gain for " + tempname, 100, 0., maxGainInHist_);
bookkeeper_[detid]["gain_2d"] = bookDQMHistoPlaquetteSummary2D(detid, "Gain2d", "gain for " + tempname);
bookkeeper_[detid]["errorgain_2d"] =
bookDQMHistoPlaquetteSummary2D(detid, "ErrorGain2d", "error on gain for " + tempname);
bookkeeper_[detid]["ped_1d"] = bookDQMHistogram1D(detid, "Pedestal1d", "pedestal for " + tempname, 256, 0., 256.0);
bookkeeper_[detid]["ped_2d"] = bookDQMHistoPlaquetteSummary2D(detid, "Pedestal2d", "pedestal for " + tempname);
bookkeeper_[detid]["errorped_2d"] =
bookDQMHistoPlaquetteSummary2D(detid, "ErrorPedestal2d", "error on pedestal for " + tempname);
bookkeeper_[detid]["chi2_1d"] =
bookDQMHistogram1D(detid, "GainChi2NDF1d", "#chi^{2}/NDOF for " + tempname, 100, 0., maxChi2InHist_);
bookkeeper_[detid]["chi2_2d"] =
bookDQMHistoPlaquetteSummary2D(detid, "GainChi2NDF2d", "#chi^{2}/NDOF for " + tempname);
bookkeeper_[detid]["prob_1d"] =
bookDQMHistogram1D(detid, "GainChi2Prob1d", "P(#chi^{2},NDOF) for " + tempname, 100, 0., 1.0);
bookkeeper_[detid]["prob_2d"] =
bookDQMHistoPlaquetteSummary2D(detid, "GainChi2Prob2d", "P(#chi^{2},NDOF) for " + tempname);
bookkeeper_[detid]["status_2d"] =
bookDQMHistoPlaquetteSummary2D(detid, "GainFitResult2d", "Fit result for " + tempname);
bookkeeper_[detid]["endpoint_1d"] = bookDQMHistogram1D(
detid, "GainEndPoint1d", "point where fit meets ADC=255 for " + tempname, 256, 0., 256. * scalarVcalHigh_VcalLow_);
bookkeeper_[detid]["lowpoint_1d"] = bookDQMHistogram1D(
detid, "GainLowPoint1d", "lowest fit point for " + tempname, 256, 0., 256. * scalarVcalHigh_VcalLow_);
bookkeeper_[detid]["highpoint_1d"] = bookDQMHistogram1D(
detid, "GainHighPoint1d", "highest fit point for " + tempname, 256, 0., 256. * scalarVcalHigh_VcalLow_);
bookkeeper_[detid]["nfitpoints_1d"] =
bookDQMHistogram1D(detid, "GainNPoints1d", "number of fit point for " + tempname, 20, 0., 20);
bookkeeper_[detid]["dynamicrange_2d"] = bookDQMHistoPlaquetteSummary2D(
detid, "GainDynamicRange2d", "Difference lowest and highest points on gain curve for " + tempname);
bookkeeper_[detid]["lowpoint_2d"] =
bookDQMHistoPlaquetteSummary2D(detid, "GainLowPoint2d", "lowest fit point for " + tempname);
bookkeeper_[detid]["highpoint_2d"] =
bookDQMHistoPlaquetteSummary2D(detid, "GainHighPoint2d", "highest fit point for " + tempname);
bookkeeper_[detid]["plateau_2d"] =
bookDQMHistoPlaquetteSummary2D(detid, "GainSaturate2d", "Highest points on gain curve for " + tempname);
}
//define this as a plug-in
DEFINE_FWK_MODULE(SiPixelGainCalibrationAnalysis);
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