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EcalPulseCovariances_PayloadInspector.cc
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EcalPulseCovariances_PayloadInspector.cc
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#include "CondCore/Utilities/interface/PayloadInspectorModule.h"
#include "CondCore/Utilities/interface/PayloadInspector.h"
#include "DataFormats/EcalDetId/interface/EBDetId.h"
#include "DataFormats/EcalDetId/interface/EEDetId.h"
#include "CondCore/EcalPlugins/plugins/EcalDrawUtils.h"
// the data format of the condition to be inspected
#include "CondFormats/EcalObjects/interface/EcalPulseCovariances.h"
#include "TH2F.h"
#include "TCanvas.h"
#include "TStyle.h"
#include "TLine.h"
#include "TLatex.h"
#include <string>
namespace {
enum { kEBChannels = 61200, kEEChannels = 14648, kSides = 2, kRMS = 5, TEMPLATESAMPLES = 12 };
enum { MIN_IETA = 1, MIN_IPHI = 1, MAX_IETA = 85, MAX_IPHI = 360 }; // barrel lower and upper bounds on eta and phi
enum { IX_MIN = 1, IY_MIN = 1, IX_MAX = 100, IY_MAX = 100 }; // endcaps lower and upper bounds on x and y
/*****************************************************
2d plot of ECAL PulseCovariances of 1 IOV
*****************************************************/
class EcalPulseCovariancesPlot : public cond::payloadInspector::PlotImage<EcalPulseCovariances> {
public:
EcalPulseCovariancesPlot()
: cond::payloadInspector::PlotImage<EcalPulseCovariances>("ECAL PulseCovariances - map ") {
setSingleIov(true);
}
bool fill(const std::vector<std::tuple<cond::Time_t, cond::Hash> >& iovs) override {
TH2F** barrel = new TH2F*[TEMPLATESAMPLES];
TH2F** endc_p = new TH2F*[TEMPLATESAMPLES];
TH2F** endc_m = new TH2F*[TEMPLATESAMPLES];
// long double EBmean[TEMPLATESAMPLES], EBrms[TEMPLATESAMPLES], EEmean[TEMPLATESAMPLES], EErms[TEMPLATESAMPLES];
// int EBtot[TEMPLATESAMPLES], EEtot[TEMPLATESAMPLES];
double pEBmin[TEMPLATESAMPLES], pEBmax[TEMPLATESAMPLES], pEEmin[TEMPLATESAMPLES], pEEmax[TEMPLATESAMPLES];
for (int s = 0; s < TEMPLATESAMPLES; ++s) {
barrel[s] = new TH2F(
Form("EBs%i", s), Form("sample %i EB", s), MAX_IPHI, 0, MAX_IPHI, 2 * MAX_IETA, -MAX_IETA, MAX_IETA);
endc_p[s] = new TH2F(
Form("EE+s%i", s), Form("sample %i EE+", s), IX_MAX, IX_MIN, IX_MAX + 1, IY_MAX, IY_MIN, IY_MAX + 1);
endc_m[s] = new TH2F(
Form("EE-s%i", s), Form("sample %i EE-", s), IX_MAX, IX_MIN, IX_MAX + 1, IY_MAX, IY_MIN, IY_MAX + 1);
/* EBmean[s] = 0.;
EBrms[s] = 0.;
EEmean[s] = 0.;
EErms[s] = 0.;
EBtot[s] = 0;
EEtot[s] = 0;*/
pEBmin[s] = 10.;
pEBmax[s] = -10.;
pEEmin[s] = 10.;
pEEmax[s] = -10.;
}
auto iov = iovs.front();
std::shared_ptr<EcalPulseCovariances> payload = fetchPayload(std::get<1>(iov));
unsigned int run = std::get<0>(iov);
if (payload.get()) {
// int chan = 0;
for (int ieta = -MAX_IETA; ieta <= MAX_IETA; ieta++) {
Double_t eta = (Double_t)ieta;
if (ieta == 0)
continue;
else if (ieta > 0.)
eta = eta - 0.5; // 0.5 to 84.5
else
eta = eta + 0.5; // -84.5 to -0.5
for (int iphi = 1; iphi <= MAX_IPHI; iphi++) {
Double_t phi = (Double_t)iphi - 0.5;
EBDetId id(ieta, iphi);
/*
chan++;
if(chan < 20) std::cout << " channel " << chan << " hash " << id.hashedIndex() << " raw " << id.rawId() << std::endl;
int rawId = id.rawId();
EcalPulseCovariance pulse = (*payload)[rawId];
if(chan < 20) {
for(int i = 0; i < TEMPLATESAMPLES; ++i) {
std::cout << std::setw(2) << i;
for(int j = 0; j < TEMPLATESAMPLES; ++j) {
double val = pulse.covval[i][j];
std::cout << " " << std::setw(10) << val ;
}
std::cout << std::endl;
}
}
*/
for (int s = 0; s < TEMPLATESAMPLES; ++s) {
double val = (*payload)[id.rawId()].covval[0][s];
barrel[s]->Fill(phi, eta, val);
// EBmean[s] = EBmean[s] + val;
// EBrms[s] = EBrms[s] + val * val;
// EBtot[s]++;
if (val < pEBmin[s])
pEBmin[s] = val;
if (val > pEBmax[s])
pEBmax[s] = val;
}
}
}
for (int sign = 0; sign < kSides; sign++) {
int thesign = sign == 1 ? 1 : -1;
for (int ix = 1; ix <= IX_MAX; ix++) {
for (int iy = 1; iy <= IY_MAX; iy++) {
if (!EEDetId::validDetId(ix, iy, thesign))
continue;
EEDetId id(ix, iy, thesign);
for (int s = 0; s < TEMPLATESAMPLES; ++s) {
double val = (*payload)[id.rawId()].covval[0][s];
// EEmean[s] = EEmean[s] + val;
// EErms[s] = EErms[s] + val * val;
// EEtot[s]++;
if (val < pEEmin[s])
pEEmin[s] = val;
if (val > pEEmax[s])
pEEmax[s] = val;
if (thesign == 1)
endc_p[s]->Fill(ix, iy, val);
else
endc_m[s]->Fill(ix, iy, val);
}
} // iy
} // ix
} // side
} // payload
/*
for(int s = 0; s < TEMPLATESAMPLES; ++s) {
std::cout << "EB sample " << s << " mean " << EBmean[s] << " rms " << EBrms[s] << " entries " << EBtot[s]
<< " EE mean " << EEmean[s] << " rms " << EErms[s] << " entries " << EEtot[s] << std::endl;
double vt =(double)EBtot[s];
EBmean[s] = EBmean[s] / vt;
EBrms[s] = EBrms[s] / vt - (EBmean[s] * EBmean[s]);
if(EBrms[s] > 0) EBrms[s] = sqrt(EBrms[s]);
else EBrms[s] = 1.e-06;
pEBmin[s] = EBmean[s] - kRMS * EBrms[s];
pEBmax[s] = EBmean[s] + kRMS * EBrms[s];
std::cout << "EB sample " << s << " mean " << EBmean[s] << " rms " << EBrms[s] << " entries " << EBtot[s] << " min " << pEBmin[s] << " max " << pEBmax[s] << std::endl;
// if(pEBmin[s] <= 0.) pEBmin[s] = 1.e-06;
vt =(double)EEtot[s];
EEmean[s] = EEmean[s] / vt;
EErms[s] = EErms[s] / vt - (EEmean[s] * EEmean[s]);
if(EErms[s] > 0) EErms[s] = sqrt(EErms[s]);
else EErms[s] = 1.e-06;
pEEmin[s] = EEmean[s] - kRMS * EErms[s];
pEEmax[s] = EEmean[s] + kRMS * EErms[s];
std::cout << "EE sample " << s << " mean " << EEmean[s] << " rms " << EErms[s] << " entries " << EEtot[s] << " min " << pEEmin[s] << " max " << pEEmax[s] << std::endl;
// if(pEEmin[s] <= 0.) pEEmin[s] = 1.e-06;
}
*/
// for(int s = 0; s < TEMPLATESAMPLES; ++s)
// std::cout << " sample " << s << " EB min " << pEBmin[s] << " max " << pEBmax[s] << " EE min " << pEEmin[s] << " max " << pEEmax[s] << std::endl;
gStyle->SetPalette(1);
gStyle->SetOptStat(0);
TCanvas canvas("CC map", "CC map", 1600, 2800);
TLatex t1;
t1.SetNDC();
t1.SetTextAlign(26);
t1.SetTextSize(0.05);
t1.DrawLatex(0.5, 0.96, Form("Ecal PulseCovariances, IOV %i", run));
float xmi[3] = {0.0, 0.24, 0.76};
float xma[3] = {0.24, 0.76, 1.00};
TPad*** pad = new TPad**[6];
for (int s = 0; s < 6; s++) {
pad[s] = new TPad*[3];
for (int obj = 0; obj < 3; obj++) {
float yma = 0.94 - (0.16 * s);
float ymi = yma - 0.14;
pad[s][obj] = new TPad(Form("p_%i_%i", obj, s), Form("p_%i_%i", obj, s), xmi[obj], ymi, xma[obj], yma);
pad[s][obj]->Draw();
}
}
int ipad = 0;
for (int s = 0; s < 7; ++s) { // plot only the measured ones, not the extrapolated
// for(int s = 7; s<12; ++s) { // plot only the extrapolated ones
if (s == 2)
continue; // do not plot the maximum sample, which is 0 by default
pad[ipad][0]->cd();
if (pEBmin[s] == pEBmax[s]) { // same values everywhere!..
pEBmin[s] = pEBmin[s] - 1.e-06;
pEBmax[s] = pEBmax[s] + 1.e-06;
}
if (pEEmin[s] == pEEmax[s]) {
pEEmin[s] = pEEmin[s] - 1.e-06;
pEEmax[s] = pEEmax[s] + 1.e-06;
}
DrawEE(endc_m[s], pEEmin[s], pEEmax[s]);
// pad[ipad][0]->SetLogz(1);
pad[ipad][1]->cd();
DrawEB(barrel[s], pEBmin[s], pEBmax[s]);
// pad[ipad][1]->SetLogz(1);
pad[ipad][2]->cd();
DrawEE(endc_p[s], pEEmin[s], pEEmax[s]);
// pad[ipad][2]->SetLogz(1);
ipad++;
}
std::string ImageName(m_imageFileName);
canvas.SaveAs(ImageName.c_str());
return true;
} // fill method
};
/*****************************************************
2d plot of ECAL PulseCovariances matrix of 1 IOV
*****************************************************/
class EcalPulseCovariancesMatrix : public cond::payloadInspector::PlotImage<EcalPulseCovariances> {
public:
EcalPulseCovariancesMatrix()
: cond::payloadInspector::PlotImage<EcalPulseCovariances>("ECAL PulseCovariances - matrix ") {
setSingleIov(true);
}
bool fill(const std::vector<std::tuple<cond::Time_t, cond::Hash> >& iovs) override {
double EBmean[TEMPLATESAMPLES][TEMPLATESAMPLES], EBrms[TEMPLATESAMPLES][TEMPLATESAMPLES],
EEmean[TEMPLATESAMPLES][TEMPLATESAMPLES], EErms[TEMPLATESAMPLES][TEMPLATESAMPLES];
for (int i = 0; i < TEMPLATESAMPLES; i++) {
for (int j = 0; j < TEMPLATESAMPLES; j++) {
EBmean[i][j] = 0.;
EBrms[i][j] = 0.;
EEmean[i][j] = 0.;
EErms[i][j] = 0.;
}
}
auto iov = iovs.front();
std::shared_ptr<EcalPulseCovariances> payload = fetchPayload(std::get<1>(iov));
unsigned int run = std::get<0>(iov);
if (payload.get()) {
for (int ieta = -MAX_IETA; ieta <= MAX_IETA; ieta++) {
for (int iphi = 1; iphi <= MAX_IPHI; iphi++) {
EBDetId id(ieta, iphi);
for (int i = 0; i < TEMPLATESAMPLES; ++i) {
for (int j = 0; j < TEMPLATESAMPLES; ++j) {
double val = (*payload)[id.rawId()].covval[i][j];
EBmean[i][j] = EBmean[i][j] + val;
EBrms[i][j] = EBrms[i][j] + val * val;
}
}
}
}
for (int sign = 0; sign < kSides; sign++) {
int thesign = sign == 1 ? 1 : -1;
for (int ix = 1; ix <= IX_MAX; ix++) {
for (int iy = 1; iy <= IY_MAX; iy++) {
if (!EEDetId::validDetId(ix, iy, thesign))
continue;
EEDetId id(ix, iy, thesign);
for (int i = 0; i < TEMPLATESAMPLES; i++) {
for (int j = 0; j < TEMPLATESAMPLES; j++) {
double val = (*payload)[id.rawId()].covval[i][j];
EEmean[i][j] = EEmean[i][j] + val;
EErms[i][j] = EErms[i][j] + val * val;
}
}
} // iy
} // ix
} // side
} // payload
TH2F* barrel_m =
new TH2F("EBm", "EB mean", TEMPLATESAMPLES, 0, TEMPLATESAMPLES, TEMPLATESAMPLES, 0., TEMPLATESAMPLES);
TH2F* barrel_r =
new TH2F("EBr", "EB rms", TEMPLATESAMPLES, 0, TEMPLATESAMPLES, TEMPLATESAMPLES, 0., TEMPLATESAMPLES);
TH2F* endcap_m =
new TH2F("EEm", "EE mean", TEMPLATESAMPLES, 0, TEMPLATESAMPLES, TEMPLATESAMPLES, 0., TEMPLATESAMPLES);
TH2F* endcap_r =
new TH2F("EEr", "EE rms", TEMPLATESAMPLES, 0, TEMPLATESAMPLES, TEMPLATESAMPLES, 0., TEMPLATESAMPLES);
for (int i = 0; i < TEMPLATESAMPLES; i++) {
// std::cout << "EB sample " << i << std::endl
// std::cout << "EB sample " << i;
for (int j = 0; j < TEMPLATESAMPLES; j++) {
double vt = (double)kEBChannels;
EBmean[i][j] = EBmean[i][j] / vt;
barrel_m->Fill(i, j, EBmean[i][j]);
EBrms[i][j] = EBrms[i][j] / vt - (EBmean[i][j] * EBmean[i][j]);
if (EBrms[i][j] >= 0)
EBrms[i][j] = sqrt(EBrms[i][j]);
else
EBrms[i][j] = 0.;
barrel_r->Fill(i, j, EBrms[i][j]);
// std::cout << "EB sample " << j << " mean " << EBmean[i][j] << " rms " << EBrms[i][j] << std::endl;
// std::cout << " " << std::setw(10) << EBrms[i][j];
vt = (double)kEEChannels;
EEmean[i][j] = EEmean[i][j] / vt;
endcap_m->Fill(i, j, EEmean[i][j]);
EErms[i][j] = EErms[i][j] / vt - (EEmean[i][j] * EEmean[i][j]);
if (EErms[i][j] >= 0)
EErms[i][j] = sqrt(EErms[i][j]);
else
EErms[i][j] = 0.;
endcap_r->Fill(i, j, EErms[i][j]);
// std::cout << "EE sample " << j << " mean " << EEmean[i][j] << " rms " << EErms[i][j] << std::endl;
}
// std::cout << std::endl;
}
gStyle->SetPalette(1);
gStyle->SetOptStat(0);
TCanvas canvas("CC map", "CC map", 1440, 1500);
TLatex t1;
t1.SetNDC();
t1.SetTextAlign(26);
t1.SetTextSize(0.05);
t1.DrawLatex(0.5, 0.96, Form("Ecal PulseCovariances, IOV %i", run));
float xmi[2] = {0.0, 0.5};
float xma[2] = {0.5, 1.0};
TPad*** pad = new TPad**[2];
for (int s = 0; s < 2; s++) {
pad[s] = new TPad*[2];
for (int obj = 0; obj < 2; obj++) {
float yma = 0.94 - (0.47 * s);
float ymi = yma - 0.45;
pad[s][obj] = new TPad(Form("p_%i_%i", obj, s), Form("p_%i_%i", obj, s), xmi[obj], ymi, xma[obj], yma);
pad[s][obj]->Draw();
}
}
pad[0][0]->cd();
// barrel_m->Draw("COLZ1");
grid(barrel_m);
pad[0][1]->cd();
// endcap_m->Draw("COLZ1");
grid(endcap_m);
pad[1][0]->cd();
// barrel_r->Draw("COLZ1");
grid(barrel_r);
pad[1][1]->cd();
// endcap_r->Draw("COLZ1");
grid(endcap_r);
std::string ImageName(m_imageFileName);
canvas.SaveAs(ImageName.c_str());
return true;
} // fill method
void grid(TH2F* matrix) {
matrix->Draw("COLZ1");
TLine* lh = new TLine(1., 0., 1., 1.);
lh->SetLineWidth(2);
TLine* lv = new TLine(1., 0., 1., 1.);
lv->SetLineWidth(2);
// double max = (double)TEMPLATESAMPLES;
for (int i = 1; i < TEMPLATESAMPLES; i++) {
// double x = (double)i;
lv = new TLine(i, 0., i, TEMPLATESAMPLES);
lv->Draw();
lh = new TLine(0., i, TEMPLATESAMPLES, i);
lh->Draw();
}
}
};
} // namespace
// Register the classes as boost python plugin
PAYLOAD_INSPECTOR_MODULE(EcalPulseCovariances) {
PAYLOAD_INSPECTOR_CLASS(EcalPulseCovariancesPlot);
PAYLOAD_INSPECTOR_CLASS(EcalPulseCovariancesMatrix);
}