DQM/DTMonitorClient/src/DTResolutionAnalysisTest.cc - master - githubmirror/cmssw

DQM/DTMonitorClient/src/DTResolutionAnalysisTest.cc
485 строк20 KB
Shahzad Malik Muzaffar
[DQM] Changes suggested by new llvm18 clang-format
05 сен 2024, 17:08
05 сен 2024, 17:083bee7b8
/*
 *  See header file for a description of this class.
 *
 *  \author G. Mila - INFN Torino
 *
 *  threadsafe version (//-) oct/nov 2014 - WATWanAbdullah -ncpp-um-my
 *
 */

#include "DQM/DTMonitorClient/src/DTResolutionAnalysisTest.h"

// Framework
#include "FWCore/Framework/interface/Event.h"
#include "FWCore/Framework/interface/EventSetup.h"
#include "FWCore/ParameterSet/interface/ParameterSet.h"

// Geometry
#include "Geometry/DTGeometry/interface/DTGeometry.h"

#include "FWCore/ServiceRegistry/interface/Service.h"
#include "DQMServices/Core/interface/DQMStore.h"
#include "FWCore/MessageLogger/interface/MessageLogger.h"

#include <string>
#include <sstream>
#include <cmath>

using namespace edm;
using namespace std;

DTResolutionAnalysisTest::DTResolutionAnalysisTest(const ParameterSet& ps)
    : muonGeomToken_(esConsumes<edm::Transition::BeginRun>()) {
  LogTrace("DTDQM|DTMonitorClient|DTResolutionAnalysisTest") << "[DTResolutionAnalysisTest]: Constructor";

  prescaleFactor = ps.getUntrackedParameter<int>("diagnosticPrescale", 1);
  // permitted test range
  maxGoodMeanValue = ps.getUntrackedParameter<double>("maxGoodMeanValue", 0.02);
  minBadMeanValue = ps.getUntrackedParameter<double>("minBadMeanValue", 0.04);
  maxGoodSigmaValue = ps.getUntrackedParameter<double>("maxGoodSigmaValue", 0.08);
  minBadSigmaValue = ps.getUntrackedParameter<double>("minBadSigmaValue", 0.16);
  // top folder for the histograms in DQMStore
  topHistoFolder = ps.getUntrackedParameter<string>("topHistoFolder", "DT/02-Segments");

  doCalibAnalysis = ps.getUntrackedParameter<bool>("doCalibAnalysis", false);
}

DTResolutionAnalysisTest::~DTResolutionAnalysisTest() {
  LogTrace("DTDQM|DTMonitorClient|DTResolutionAnalysisTest")
      << "DTResolutionAnalysisTest: analyzed " << nevents << " events";
}

void DTResolutionAnalysisTest::beginRun(const Run& run, const EventSetup& context) {
  LogTrace("DTDQM|DTMonitorClient|DTResolutionAnalysisTest") << "[DTResolutionAnalysisTest]: BeginRun";

  nevents = 0;

  // Get the geometry
  muonGeom = &context.getData(muonGeomToken_);
}

void DTResolutionAnalysisTest::bookHistos(DQMStore::IBooker& ibooker) {
  // global residual summary

  ibooker.setCurrentFolder(topHistoFolder);
  globalResSummary =
      ibooker.book2D("ResidualsGlbSummary", "# of SLs with good mean and good sigma of residuals", 12, 1, 13, 5, -2, 3);

  // book summaries for mean and sigma
  ibooker.setCurrentFolder(topHistoFolder + "/00-MeanRes");
  meanDistr[-2] = ibooker.book1D("MeanDistr", "Mean value of the residuals all (cm)", 100, -0.1, 0.1);
  meanDistr[-1] = ibooker.book1D("MeanDistr_Phi", "Mean value of the residuals #phi SL (cm)", 100, -0.1, 0.1);
  meanDistr[0] =
      ibooker.book1D("MeanDistr_ThetaWh0", "Mean values of the residuals #theta SL Wh 0 (cm)", 100, -0.1, 0.1);
  meanDistr[1] =
      ibooker.book1D("MeanDistr_ThetaWh1", "Mean value of the residuals #theta SL Wh +/-1 (cm)", 100, -0.1, 0.1);
  meanDistr[2] =
      ibooker.book1D("MeanDistr_ThetaWh2", "Mean value of the residuals #theta SL Wh +/-2 (cm)", 100, -0.1, 0.1);

  for (int wh = -2; wh <= 2; wh++) {
    stringstream wheel;
    wheel << wh;
    for (int st = 1; st <= 4; st++) {
      stringstream station;
      station << st;
      for (int sl = 1; sl <= 3; sl++) {
        if (sl == 2 && st == 4)
          continue;
        ibooker.setCurrentFolder(topHistoFolder + "/00-MeanRes/Wheel" + wheel.str());
        string histoLabel = "MeanDistr";
        string histoName = histoLabel + "_W" + wheel.str() + "_MB" + station.str() + "_Phi";
        string histoType = histoLabel + "_Phi";
        if (sl == 2) {
          histoName = histoLabel + "_W" + wheel.str() + "_MB" + station.str() + "_Theta";
          histoType = histoLabel + "_Theta";
        }
        (wheelRingHistos[wh][st])[histoType] = ibooker.book1D(histoName, histoLabel, 100, -0.1, 0.1);

        ibooker.setCurrentFolder(topHistoFolder + "/01-SigmaRes/Wheel" + wheel.str());
        histoLabel = "SigmaDistr";
        histoName = histoLabel + "_W" + wheel.str() + "_MB" + station.str() + "_Phi";
        histoType = histoLabel + "_Phi";
        if (sl == 2) {
          histoName = histoLabel + "_W" + wheel.str() + "_MB" + station.str() + "_Theta";
          histoType = histoLabel + "_Theta";
        }
        (wheelRingHistos[wh][st])[histoType] = ibooker.book1D(histoName, histoLabel, 50, 0.0, 0.2);
      }
    }
  }

  ibooker.setCurrentFolder(topHistoFolder + "/00-MeanRes");
  string histoTitle = "# of SLs with good mean of residuals";
  wheelMeanHistos[3] = ibooker.book2D("MeanResGlbSummary", histoTitle.c_str(), 12, 1, 13, 5, -2, 3);
  wheelMeanHistos[3]->setAxisTitle("Sector", 1);
  wheelMeanHistos[3]->setAxisTitle("Wheel", 2);

  ibooker.setCurrentFolder(topHistoFolder + "/01-SigmaRes");
  sigmaDistr[-2] = ibooker.book1D("SigmaDistr", "Sigma value of the residuals all (cm)", 50, 0.0, 0.2);
  sigmaDistr[-1] = ibooker.book1D("SigmaDistr_Phi", "Sigma value of the residuals #phi SL (cm)", 50, 0.0, 0.2);
  sigmaDistr[0] =
      ibooker.book1D("SigmaDistr_ThetaWh0", "Sigma value of the residuals #theta SL Wh 0 (cm)", 50, 0.0, 0.2);
  sigmaDistr[1] =
      ibooker.book1D("SigmaDistr_ThetaWh1", "Sigma value of the residuals #theta SL Wh +/-1 (cm)", 50, 0.0, 0.2);
  sigmaDistr[2] =
      ibooker.book1D("SigmaDistr_ThetaWh2", "Sigma value of the residuals #theta SL Wh +/-2 (cm)", 50, 0.0, 0.2);

  histoTitle = "# of SLs with good sigma of residuals";
  wheelSigmaHistos[3] = ibooker.book2D("SigmaResGlbSummary", histoTitle.c_str(), 12, 1, 13, 5, -2, 3);
  wheelSigmaHistos[3]->setAxisTitle("Sector", 1);
  wheelSigmaHistos[3]->setAxisTitle("Wheel", 2);

  // loop over all the CMS wheels, sectors & book the summary histos
  for (int wheel = -2; wheel <= 2; wheel++) {
    bookHistos(ibooker, wheel);
    for (int sector = 1; sector <= 12; sector++) {
      bookHistos(ibooker, wheel, sector);
    }
  }
}

void DTResolutionAnalysisTest::dqmEndJob(DQMStore::IBooker& ibooker, DQMStore::IGetter& igetter) {
  if (!igetter.dirExists(topHistoFolder)) {
    LogTrace("DTDQM|DTMonitorClient|DTResolutionAnalysisTest")
        << "[DTResolutionAnalysisTest]: Base folder " << topHistoFolder << " does not exist. Skipping client operation."
        << endl;
    return;
  }

  bookHistos(ibooker);  // histos booked only if top histo folder exist
  // as Standard/AlcaReco Harvest is performed in the same step

  LogTrace("DTDQM|DTMonitorClient|DTResolutionAnalysisTest")
      << "[DTResolutionAnalysisTest]: End of Run transition, performing the DQM client operation" << endl;

  // reset the ME with fixed scale
  resetMEs();

  for (vector<const DTChamber*>::const_iterator ch_it = muonGeom->chambers().begin();
       ch_it != muonGeom->chambers().end();
       ++ch_it) {  // loop over the chambers

    DTChamberId chID = (*ch_it)->id();

    // Fill the test histos
    for (vector<const DTSuperLayer*>::const_iterator sl_it = (*ch_it)->superLayers().begin();
         sl_it != (*ch_it)->superLayers().end();
         ++sl_it) {  // loop over SLs

      DTSuperLayerId slID = (*sl_it)->id();
      MonitorElement* res_histo = igetter.get(getMEName(slID));

      if (res_histo) {  // Gaussian Fit
        float statMean = res_histo->getMean(1);
        float statSigma = res_histo->getRMS(1);
        double mean = -1;
        double sigma = -1;
        TH1F* histo_root = res_histo->getTH1F();

        // fill the summaries
        int entry = (chID.station() - 1) * 3;
        int binSect = slID.sector();
        if (slID.sector() == 13)
          binSect = 4;
        else if (slID.sector() == 14)
          binSect = 10;
        int binSL = entry + slID.superLayer();
        if (chID.station() == 4 && slID.superLayer() == 3)
          binSL--;
        if ((slID.sector() == 13 || slID.sector() == 14) && slID.superLayer() == 1)
          binSL = 12;
        if ((slID.sector() == 13 || slID.sector() == 14) && slID.superLayer() == 3)
          binSL = 13;

        if (histo_root->GetEntries() > 20) {
          TF1* gfit = new TF1("Gaussian", "gaus", (statMean - (2 * statSigma)), (statMean + (2 * statSigma)));
          try {
            histo_root->Fit(gfit, "Q0 SERIAL", "", -0.1, 0.1);
          } catch (cms::Exception& iException) {
            LogWarning("DTDQM|DTMonitorModule|DTResolutionAnalysisTask")
                << "[DTResolutionAnalysisTask]: Exception when fitting SL : " << slID;
            // FIXME: the SL is set as OK in the summary
            double weight = 1 / 11.;
            if ((binSect == 4 || binSect == 10) && slID.station() == 4)
              weight = 1 / 22.;
            globalResSummary->Fill(binSect, slID.wheel(), weight);
            continue;
          }

          if (gfit) {
            // get the mean and the sigma of the distribution
            mean = gfit->GetParameter(1);
            sigma = gfit->GetParameter(2);

            // fill the distributions
            meanDistr[-2]->Fill(mean);
            sigmaDistr[-2]->Fill(sigma);
            if (slID.superlayer() == 2) {
              meanDistr[abs(slID.wheel())]->Fill(mean);
              sigmaDistr[abs(slID.wheel())]->Fill(sigma);
            } else {
              meanDistr[-1]->Fill(mean);
              sigmaDistr[-1]->Fill(sigma);
            }

            string histoType = "MeanDistr_Phi";
            if (slID.superlayer() == 2)
              histoType = "MeanDistr_Theta";
            (wheelRingHistos[slID.wheel()][slID.station()])[histoType]->Fill(mean);

            histoType = "SigmaDistr_Phi";
            if (slID.superlayer() == 2)
              histoType = "SigmaDistr_Theta";
            (wheelRingHistos[slID.wheel()][slID.station()])[histoType]->Fill(sigma);

            // sector summaries
            MeanHistos[make_pair(slID.wheel(), binSect)]->setBinContent(binSL, mean);
            SigmaHistos[make_pair(slID.wheel(), binSect)]->setBinContent(binSL, sigma);

            if ((slID.sector() == 13 || slID.sector() == 14) && binSL == 12)
              binSL = 10;
            if ((slID.sector() == 13 || slID.sector() == 14) && binSL == 13)
              binSL = 11;

            if ((slID.sector() == 13 || slID.sector() == 14)) {
              double MeanVal = wheelMeanHistos[slID.wheel()]->getBinContent(binSect, binSL);
              double MeanBinVal = (MeanVal > 0. && MeanVal < meanInRange(mean)) ? MeanVal : meanInRange(mean);
              wheelMeanHistos[slID.wheel()]->setBinContent(binSect, binSL, MeanBinVal);

              double SigmaVal = wheelSigmaHistos[slID.wheel()]->getBinContent(binSect, binSL);
              double SigmaBinVal = (SigmaVal > 0. && SigmaVal < sigmaInRange(sigma)) ? SigmaVal : sigmaInRange(sigma);
              wheelSigmaHistos[slID.wheel()]->setBinContent(binSect, binSL, SigmaBinVal);

            } else {
              wheelMeanHistos[slID.wheel()]->setBinContent(binSect, binSL, meanInRange(mean));
              wheelSigmaHistos[slID.wheel()]->setBinContent(binSect, binSL, sigmaInRange(sigma));
            }

            // set the weight
            double weight = 1 / 11.;
            if ((binSect == 4 || binSect == 10) && slID.station() == 4)
              weight = 1 / 22.;

            // test the values of mean and sigma
            if ((meanInRange(mean) > 0.85) && (sigmaInRange(sigma) > 0.85)) {  // sigma and mean ok
              globalResSummary->Fill(binSect, slID.wheel(), weight);
              wheelMeanHistos[3]->Fill(binSect, slID.wheel(), weight);
              wheelSigmaHistos[3]->Fill(binSect, slID.wheel(), weight);
            } else {
              if ((meanInRange(mean) < 0.85) && (sigmaInRange(sigma) > 0.85)) {  // only sigma ok
                wheelSigmaHistos[3]->Fill(binSect, slID.wheel(), weight);
              }
              if ((meanInRange(mean) > 0.85) && (sigmaInRange(sigma) < 0.85)) {  // only mean ok
                wheelMeanHistos[3]->Fill(binSect, slID.wheel(), weight);
              }
            }
          }
          delete gfit;
        } else {
          LogVerbatim("DTDQM|DTMonitorModule|DTResolutionAnalysisTask")
              << "[DTResolutionAnalysisTask] Fit of " << slID << " not performed because # entries < 20 ";
          // FIXME: the SL is set as OK in the summary
          double weight = 1 / 11.;
          if ((binSect == 4 || binSect == 10) && slID.station() == 4)
            weight = 1 / 22.;
          globalResSummary->Fill(binSect, slID.wheel(), weight);
          wheelMeanHistos[3]->Fill(binSect, slID.wheel(), weight);
          wheelSigmaHistos[3]->Fill(binSect, slID.wheel(), weight);
          wheelMeanHistos[slID.wheel()]->setBinContent(binSect, binSL, 1.);
          wheelSigmaHistos[slID.wheel()]->setBinContent(binSect, binSL, 1.);
        }
      } else {
        LogWarning("DTDQM|DTMonitorModule|DTResolutionAnalysisTask")
            << "[DTResolutionAnalysisTask] Histo: " << getMEName(slID) << " not found" << endl;
      }
    }  // loop on SLs
  }  // Loop on Stations
}

void DTResolutionAnalysisTest::bookHistos(DQMStore::IBooker& ibooker, int wh) {
  stringstream wheel;
  wheel << wh;

  ibooker.setCurrentFolder(topHistoFolder + "/00-MeanRes");
  string histoName = "MeanSummaryRes_W" + wheel.str();
  string histoTitle = "# of SLs with wrong mean of residuals (Wheel " + wheel.str() + ")";

  wheelMeanHistos[wh] = ibooker.book2D(histoName.c_str(), histoTitle.c_str(), 12, 1, 13, 11, 1, 12);
  wheelMeanHistos[wh]->setAxisTitle("Sector", 1);
  wheelMeanHistos[wh]->setBinLabel(1, "MB1_SL1", 2);
  wheelMeanHistos[wh]->setBinLabel(2, "MB1_SL2", 2);
  wheelMeanHistos[wh]->setBinLabel(3, "MB1_SL3", 2);
  wheelMeanHistos[wh]->setBinLabel(4, "MB2_SL1", 2);
  wheelMeanHistos[wh]->setBinLabel(5, "MB2_SL2", 2);
  wheelMeanHistos[wh]->setBinLabel(6, "MB2_SL3", 2);
  wheelMeanHistos[wh]->setBinLabel(7, "MB3_SL1", 2);
  wheelMeanHistos[wh]->setBinLabel(8, "MB3_SL2", 2);
  wheelMeanHistos[wh]->setBinLabel(9, "MB3_SL3", 2);
  wheelMeanHistos[wh]->setBinLabel(10, "MB4_SL1", 2);
  wheelMeanHistos[wh]->setBinLabel(11, "MB4_SL3", 2);

  ibooker.setCurrentFolder(topHistoFolder + "/01-SigmaRes");
  histoName = "SigmaSummaryRes_W" + wheel.str();
  histoTitle = "# of SLs with wrong sigma of residuals (Wheel " + wheel.str() + ")";

  wheelSigmaHistos[wh] = ibooker.book2D(histoName.c_str(), histoTitle.c_str(), 12, 1, 13, 11, 1, 12);
  wheelSigmaHistos[wh]->setAxisTitle("Sector", 1);
  wheelSigmaHistos[wh]->setBinLabel(1, "MB1_SL1", 2);
  wheelSigmaHistos[wh]->setBinLabel(2, "MB1_SL2", 2);
  wheelSigmaHistos[wh]->setBinLabel(3, "MB1_SL3", 2);
  wheelSigmaHistos[wh]->setBinLabel(4, "MB2_SL1", 2);
  wheelSigmaHistos[wh]->setBinLabel(5, "MB2_SL2", 2);
  wheelSigmaHistos[wh]->setBinLabel(6, "MB2_SL3", 2);
  wheelSigmaHistos[wh]->setBinLabel(7, "MB3_SL1", 2);
  wheelSigmaHistos[wh]->setBinLabel(8, "MB3_SL2", 2);
  wheelSigmaHistos[wh]->setBinLabel(9, "MB3_SL3", 2);
  wheelSigmaHistos[wh]->setBinLabel(10, "MB4_SL1", 2);
  wheelSigmaHistos[wh]->setBinLabel(11, "MB4_SL3", 2);
}

void DTResolutionAnalysisTest::bookHistos(DQMStore::IBooker& ibooker, int wh, int sect) {
  stringstream wheel;
  wheel << wh;
  stringstream sector;
  sector << sect;

  string MeanHistoName = "MeanTest_W" + wheel.str() + "_Sec" + sector.str();
  string SigmaHistoName = "SigmaTest_W" + wheel.str() + "_Sec" + sector.str();

  string folder = topHistoFolder + "/Wheel" + wheel.str() + "/Sector" + sector.str();
  ibooker.setCurrentFolder(folder);

  if (sect != 4 && sect != 10) {
    MeanHistos[make_pair(wh, sect)] =

        ibooker.book1D(MeanHistoName.c_str(), "Mean (from gaussian fit) of the residuals distribution", 11, 1, 12);
  } else {
    MeanHistos[make_pair(wh, sect)] =
        ibooker.book1D(MeanHistoName.c_str(), "Mean (from gaussian fit) of the residuals distribution", 13, 1, 14);
  }
  (MeanHistos[make_pair(wh, sect)])->setBinLabel(1, "MB1_SL1", 1);
  (MeanHistos[make_pair(wh, sect)])->setBinLabel(2, "MB1_SL2", 1);
  (MeanHistos[make_pair(wh, sect)])->setBinLabel(3, "MB1_SL3", 1);
  (MeanHistos[make_pair(wh, sect)])->setBinLabel(4, "MB2_SL1", 1);
  (MeanHistos[make_pair(wh, sect)])->setBinLabel(5, "MB2_SL2", 1);
  (MeanHistos[make_pair(wh, sect)])->setBinLabel(6, "MB2_SL3", 1);
  (MeanHistos[make_pair(wh, sect)])->setBinLabel(7, "MB3_SL1", 1);
  (MeanHistos[make_pair(wh, sect)])->setBinLabel(8, "MB3_SL2", 1);
  (MeanHistos[make_pair(wh, sect)])->setBinLabel(9, "MB3_SL3", 1);
  (MeanHistos[make_pair(wh, sect)])->setBinLabel(10, "MB4_SL1", 1);
  (MeanHistos[make_pair(wh, sect)])->setBinLabel(11, "MB4_SL3", 1);
  if (sect == 4) {
    (MeanHistos[make_pair(wh, sect)])->setBinLabel(12, "MB4S13_SL1", 1);
    (MeanHistos[make_pair(wh, sect)])->setBinLabel(13, "MB4S13_SL3", 1);
  }
  if (sect == 10) {
    (MeanHistos[make_pair(wh, sect)])->setBinLabel(12, "MB4S14_SL1", 1);
    (MeanHistos[make_pair(wh, sect)])->setBinLabel(13, "MB4S14_SL3", 1);
  }

  if (sect != 4 && sect != 10) {
    SigmaHistos[make_pair(wh, sect)] =
        ibooker.book1D(SigmaHistoName.c_str(), "Sigma (from gaussian fit) of the residuals distribution", 11, 1, 12);
  } else {
    SigmaHistos[make_pair(wh, sect)] =
        ibooker.book1D(SigmaHistoName.c_str(), "Sigma (from gaussian fit) of the residuals distribution", 13, 1, 14);
  }
  (SigmaHistos[make_pair(wh, sect)])->setBinLabel(1, "MB1_SL1", 1);
  (SigmaHistos[make_pair(wh, sect)])->setBinLabel(2, "MB1_SL2", 1);
  (SigmaHistos[make_pair(wh, sect)])->setBinLabel(3, "MB1_SL3", 1);
  (SigmaHistos[make_pair(wh, sect)])->setBinLabel(4, "MB2_SL1", 1);
  (SigmaHistos[make_pair(wh, sect)])->setBinLabel(5, "MB2_SL2", 1);
  (SigmaHistos[make_pair(wh, sect)])->setBinLabel(6, "MB2_SL3", 1);
  (SigmaHistos[make_pair(wh, sect)])->setBinLabel(7, "MB3_SL1", 1);
  (SigmaHistos[make_pair(wh, sect)])->setBinLabel(8, "MB3_SL2", 1);
  (SigmaHistos[make_pair(wh, sect)])->setBinLabel(9, "MB3_SL3", 1);
  (SigmaHistos[make_pair(wh, sect)])->setBinLabel(10, "MB4_SL1", 1);
  (SigmaHistos[make_pair(wh, sect)])->setBinLabel(11, "MB4_SL3", 1);
  if (sect == 4) {
    (SigmaHistos[make_pair(wh, sect)])->setBinLabel(12, "MB4S13_SL1", 1);
    (SigmaHistos[make_pair(wh, sect)])->setBinLabel(13, "MB4S13_SL3", 1);
  }
  if (sect == 10) {
    (SigmaHistos[make_pair(wh, sect)])->setBinLabel(12, "MB4S14_SL1", 1);
    (SigmaHistos[make_pair(wh, sect)])->setBinLabel(13, "MB4S14_SL3", 1);
  }
}

string DTResolutionAnalysisTest::getMEName(const DTSuperLayerId& slID) {
  stringstream wheel;
  wheel << slID.wheel();
  stringstream station;
  station << slID.station();
  stringstream sector;
  sector << slID.sector();
  stringstream superLayer;
  superLayer << slID.superlayer();

  string folderName =
      topHistoFolder + "/Wheel" + wheel.str() + "/Sector" + sector.str() + "/Station" + station.str() + "/";

  if (doCalibAnalysis)
    folderName =
        "DT/DTCalibValidation/Wheel" + wheel.str() + "/Station" + station.str() + "/Sector" + sector.str() + "/";

  string histoname = folderName + "hResDist" + "_W" + wheel.str() + "_St" + station.str() + "_Sec" + sector.str() +
                     "_SL" + superLayer.str();

  if (doCalibAnalysis)
    histoname = folderName + "hResDist_STEP3" + "_W" + wheel.str() + "_St" + station.str() + "_Sec" + sector.str() +
                "_SL" + superLayer.str();

  return histoname;
}

int DTResolutionAnalysisTest::stationFromBin(int bin) const { return (int)(bin / 3.1) + 1; }

int DTResolutionAnalysisTest::slFromBin(int bin) const {
  int ret = bin % 3;
  if (ret == 0 || bin == 11)
    ret = 3;

  return ret;
}

double DTResolutionAnalysisTest::meanInRange(double mean) const {
  double value(0.);
  if (fabs(mean) <= maxGoodMeanValue) {
    value = 1.;
  } else if (fabs(mean) > maxGoodMeanValue && fabs(mean) < minBadMeanValue) {
    value = 0.9;
  } else if (fabs(mean) >= minBadMeanValue) {
    value = 0.1;
  }
  return value;
}

double DTResolutionAnalysisTest::sigmaInRange(double sigma) const {
  double value(0.);
  if (sigma <= maxGoodSigmaValue) {
    value = 1.;
  } else if (sigma > maxGoodSigmaValue && sigma < minBadSigmaValue) {
    value = 0.9;
  } else if (sigma >= minBadSigmaValue) {
    value = 0.1;
  }
  return value;
}

void DTResolutionAnalysisTest::resetMEs() {
  globalResSummary->Reset();
  // Reset the summary histo
  for (map<int, MonitorElement*>::const_iterator histo = wheelMeanHistos.begin(); histo != wheelMeanHistos.end();
       histo++) {
    (*histo).second->Reset();
  }
  for (map<int, MonitorElement*>::const_iterator histo = wheelSigmaHistos.begin(); histo != wheelSigmaHistos.end();
       histo++) {
    (*histo).second->Reset();
  }

  for (int indx = -2; indx != 3; ++indx) {
    meanDistr[indx]->Reset();
    sigmaDistr[indx]->Reset();
  }
}