diff --git a/.gitignore b/.gitignore index 05ba098..0de118e 100644 --- a/.gitignore +++ b/.gitignore @@ -25,3 +25,4 @@ CMakeLists.txt.user .atom* .vscode/ *.code-workspace +*.*~ \ No newline at end of file diff --git a/analysis/README.md b/analysis/README.md index a438a74..99da551 100644 --- a/analysis/README.md +++ b/analysis/README.md @@ -57,7 +57,7 @@ This example creates a multitude of plots for the LET Multigrid detector that co In addition to the analysis methods that are introduced in general in `examples_read_data`, also specific analysis programs for one specific application are shown here. -### RD51 Beam Telescope [`application_rd51_beam_telescope'] +### RD51 Beam Telescope [`application_rd51_beam_telescope`] For the RD51 Beam Telescope (see [https://doi.org/10.1088/1748-0221/18/05/C05017](https://doi.org/10.1088/1748-0221/18/05/C05017)), which is read out with VMM3a/SRS, the data from the vmm-sdat root tree are taken and analysed by [anamicom](https://gitlab.physik.uni-muenchen.de/Jonathan.Bortfeldt/anamicom). Anamicom takes the root tree from vmm-sdat and performs the event building and the track reconstruction for the charged particle tracks recorded with the beam telescope. diff --git a/analysis/application_rd51_beam_telescope/spatialResolutionEfficiency.cpp b/analysis/application_rd51_beam_telescope/spatialResolution.cpp similarity index 82% rename from analysis/application_rd51_beam_telescope/spatialResolutionEfficiency.cpp rename to analysis/application_rd51_beam_telescope/spatialResolution.cpp index 189aded..3cb7a7d 100644 --- a/analysis/application_rd51_beam_telescope/spatialResolutionEfficiency.cpp +++ b/analysis/application_rd51_beam_telescope/spatialResolution.cpp @@ -1,7 +1,7 @@ // Obtain the spatial resolution and efficiency vs detector gain // ------------------------------------------------------------- // lucian.scharenberg@cern.ch -// 04/15/17/20/25 July 2023 +// July and August 2023 using namespace ROOT; using namespace std; @@ -51,6 +51,16 @@ TH1D *getHistogramAnamicom(const char *filename, const char *histname) { } +pair getAmplitude(const char *filename, const char *histname) { + + TFile *f = new TFile(filename); + TH1D *h = (TH1D*)f->Get(histname); + h->SetDirectory(0); + + return {h->GetMean(), h->GetMeanError()}; + +} + double fitDoubleGaussian(double *x, double *par) { double mean, sigmaCore, sigmaTail, a, scale; @@ -329,7 +339,7 @@ pair getTrackResolution(string fileName, string runNumber, } -void spatialResolutionEfficiency() { +void spatialResolution() { // Decide which method to use to determine the width of the // residual distributions @@ -350,6 +360,15 @@ void spatialResolutionEfficiency() { // -> just use the geometric mean as described in here // https://doi.org/10.1016/j.nima.2004.08.132 string resMethod = "full"; + + // Decide whether the efficiency or the signal amplitude (mean of + // the Landau distribution) is supposed to be plotted. + // In case of anamicom data, this only makes sense for COG + // reconstruction. + // The default is the efficiency, i.e. calcEff = true. + // If the amplitude is supposed to be plotted, set calcEff to + // false. + bool calcEff = true; // Detector positions double zT1 = 0.0; @@ -378,15 +397,17 @@ void spatialResolutionEfficiency() { vector voltage = {30.0, 60.0, 90.0, 120.0, 150.0, 180.0, 210.0, 240.0, 270.0, 300.0, 600.0, 900.0, 1100.0, 1300.0, 1500.0, 1700.0}; vector gain; vector gainError; + vector resolutionX; vector resolutionY; vector resolutionXError; vector resolutionYError; - vector efficiencyX; - vector efficiencyY; - vector efficiencyXError; - vector efficiencyYError; + vector effAmplX; + vector effAmplY; + vector effAmplXError; + vector effAmplYError; + for (int g = 0; g < voltage.size(); g++) { gain.push_back(voltage[g] / 0.3); gainError.push_back(0.0); @@ -413,7 +434,7 @@ void spatialResolutionEfficiency() { } // Get the resolution and the efficiency - double res, eff, resError, effError; + double res, effAmpl, resError, effAmplError; for (int i = 0; i < runNumbers.size(); i++) { @@ -457,16 +478,33 @@ void spatialResolutionEfficiency() { resolutionYError.push_back(resError * 1000.0); } - - eff = getEfficiency(fileList[i].c_str(), ("hits0mm" + iDUTX).c_str(), ("inefficspots0mm" + iDUTX).c_str()); - effError = getEfficiencyError(fileList[i].c_str(), ("hits0mm" + iDUTX).c_str(), ("inefficspots0mm" + iDUTX).c_str()); - efficiencyX.push_back(eff * 100.0); - efficiencyXError.push_back(effError * 100.0); - - eff = getEfficiency(fileList[i].c_str(), ("hits0mm" + iDUTY).c_str(), ("inefficspots0mm" + iDUTY).c_str()); - effError = getEfficiencyError(fileList[i].c_str(), ("hits0mm" + iDUTY).c_str(), ("inefficspots0mm" + iDUTY).c_str()); - efficiencyY.push_back(eff * 100.0); - efficiencyYError.push_back(effError * 100.0); + + if (calcEff) { + + effAmpl = getEfficiency(fileList[i].c_str(), ("hits0mm" + iDUTX).c_str(), ("inefficspots0mm" + iDUTX).c_str()); + effAmplError = getEfficiencyError(fileList[i].c_str(), ("hits0mm" + iDUTX).c_str(), ("inefficspots0mm" + iDUTX).c_str()); + effAmplX.push_back(effAmpl * 100.0); + effAmplXError.push_back(effAmplError * 100.0); + + effAmpl = getEfficiency(fileList[i].c_str(), ("hits0mm" + iDUTY).c_str(), ("inefficspots0mm" + iDUTY).c_str()); + effAmplError = getEfficiencyError(fileList[i].c_str(), ("hits0mm" + iDUTY).c_str(), ("inefficspots0mm" + iDUTY).c_str()); + effAmplY.push_back(effAmpl * 100.0); + effAmplYError.push_back(effAmplError * 100.0); + + } + else { + + effAmpl = getAmplitude(fileList[i].c_str(), ("totcha" + iDUTX).c_str()).first; + effAmplError = getAmplitude(fileList[i].c_str(), ("totcha" + iDUTX).c_str()).second; + effAmplX.push_back(effAmpl); + effAmplXError.push_back(effAmplError); + + effAmpl = getAmplitude(fileList[i].c_str(), ("totcha" + iDUTY).c_str()).first; + effAmplError = getAmplitude(fileList[i].c_str(), ("totcha" + iDUTY).c_str()).second; + effAmplY.push_back(effAmpl); + effAmplYError.push_back(effAmplError); + + } } @@ -477,8 +515,8 @@ void spatialResolutionEfficiency() { csvFile << gain[line] << "," << gainError[line] << "," << resolutionX[line] << "," << resolutionXError[line] << "," << resolutionY[line] << "," << resolutionYError[line] << "," - << efficiencyX[line] << "," << efficiencyXError[line] << "," - << efficiencyY[line] << "," << efficiencyYError[line] << endl; + << effAmplX[line] << "," << effAmplXError[line] << "," + << effAmplY[line] << "," << effAmplYError[line] << endl; } } else { @@ -489,60 +527,79 @@ void spatialResolutionEfficiency() { auto cFull = new TCanvas("cFull", "", 800, 600); cFull->cd(); - auto mg = new TMultiGraph(); + auto mgRes = new TMultiGraph(); double limitX1 = 0.0; double limitX2 = 6000.0; double limitY1 = 0.0; double limitY2 = 140.0; double limitSecondY1 = 0.0; - double limitSecondY2 = 100.0; + double limitSecondY2 = 0.0; + + if (calcEff) { + + limitSecondY1 = 0.0; + limitSecondY2 = 100.0; + + } + else { + + limitSecondY1 = 0.0; + limitSecondY2 = 1500.0; + + } auto graphX = new TGraphErrors((int)resolutionX.size(), &gain[0], &resolutionX[0], &gainError[0], &resolutionXError[0]); graphX->SetLineColor(kBlack); graphX->SetMarkerColor(kBlack); graphX->SetMarkerStyle(20); - mg->Add(graphX); + mgRes->Add(graphX); auto graphY = new TGraphErrors((int)resolutionY.size(), &gain[0], &resolutionY[0], &gainError[0], &resolutionYError[0]); graphY->SetLineColor(kRed); graphY->SetMarkerColor(kRed); graphY->SetMarkerStyle(21); - mg->Add(graphY); + mgRes->Add(graphY); - auto mgEff = new TMultiGraph(); + auto mgEffAmpl = new TMultiGraph(); - // Scale the efficiency to match the second Y axis - for (int e = 0; e < efficiencyX.size(); e++) { - efficiencyX[e] = efficiencyX[e] * (limitY2 - limitY1) / (limitSecondY2 - limitSecondY1) + limitSecondY1; - efficiencyY[e] = efficiencyY[e] * (limitY2 - limitY1) / (limitSecondY2 - limitSecondY1) + limitSecondY1; - efficiencyXError[e] = efficiencyXError[e] * (limitY2 - limitY1) / (limitSecondY2 - limitSecondY1) + limitSecondY1; - efficiencyYError[e] = efficiencyYError[e] * (limitY2 - limitY1) / (limitSecondY2 - limitSecondY1) + limitSecondY1; + // Scale the effAmpl to match the second Y axis + for (int e = 0; e < effAmplX.size(); e++) { + effAmplX[e] = effAmplX[e] * (limitY2 - limitY1) / (limitSecondY2 - limitSecondY1) + limitSecondY1; + effAmplY[e] = effAmplY[e] * (limitY2 - limitY1) / (limitSecondY2 - limitSecondY1) + limitSecondY1; + effAmplXError[e] = effAmplXError[e] * (limitY2 - limitY1) / (limitSecondY2 - limitSecondY1) + limitSecondY1; + effAmplYError[e] = effAmplYError[e] * (limitY2 - limitY1) / (limitSecondY2 - limitSecondY1) + limitSecondY1; } - auto effX = new TGraphErrors((int)efficiencyX.size(), &gain[0], &efficiencyX[0], &gainError[0], &efficiencyXError[0]); - effX->SetLineColor(kBlack); - effX->SetMarkerColor(kBlack); - effX->SetMarkerStyle(24); - mgEff->Add(effX); - - auto effY = new TGraphErrors((int)efficiencyY.size(), &gain[0], &efficiencyY[0], &gainError[0], &efficiencyYError[0]); - effY->SetLineColor(kRed); - effY->SetMarkerColor(kRed); - effY->SetMarkerStyle(25); - mgEff->Add(effY); - - mg->GetXaxis()->SetTitle("Drift field / V/cm"); - mg->GetXaxis()->SetLimits(limitX1, limitX2); - mg->GetYaxis()->SetTitle("Spatial resolution / #mum"); - mg->GetYaxis()->SetRangeUser(limitY1, limitY2); - mg->Draw("APL"); - mgEff->Draw("PL"); + auto graphEffAmplX = new TGraphErrors((int)effAmplX.size(), &gain[0], &effAmplX[0], &gainError[0], &effAmplXError[0]); + graphEffAmplX->SetLineColor(kBlack); + graphEffAmplX->SetMarkerColor(kBlack); + graphEffAmplX->SetMarkerStyle(24); + mgEffAmpl->Add(graphEffAmplX); + + auto graphEffAmplY = new TGraphErrors((int)effAmplY.size(), &gain[0], &effAmplY[0], &gainError[0], &effAmplYError[0]); + graphEffAmplY->SetLineColor(kRed); + graphEffAmplY->SetMarkerColor(kRed); + graphEffAmplY->SetMarkerStyle(25); + mgEffAmpl->Add(graphEffAmplY); + + mgRes->GetXaxis()->SetTitle("Drift field / V/cm"); + mgRes->GetXaxis()->SetLimits(limitX1, limitX2); + mgRes->GetYaxis()->SetTitle("Spatial resolution / #mum"); + mgRes->GetYaxis()->SetRangeUser(limitY1, limitY2); + mgRes->Draw("APL"); + mgEffAmpl->Draw("PL"); TGaxis *axis = new TGaxis(limitX2, limitY1, limitX2, limitY2, limitSecondY1, limitSecondY2, 510, "+L"); axis->SetLabelFont(42); axis->SetTitleFont(42); - axis->SetTitle("Efficiency / %"); + if (calcEff) { + axis->SetTitle("Efficiency / %"); + } + else { + axis->SetTitle("Mean signal charge / ADC counts"); + } + axis->Draw(); auto legend = new TLegend(0.6, 0.45, 0.85, 0.65); @@ -550,12 +607,18 @@ void spatialResolutionEfficiency() { legend->SetBorderSize(0.0); legend->AddEntry(graphX, "Spat. Res. X", "lep"); legend->AddEntry(graphY, "Spat. Res. Y", "lep"); - legend->AddEntry(effX, "Eff. X", "lp"); - legend->AddEntry(effY, "Eff. Y", "lp"); + if (calcEff) { + legend->AddEntry(graphEffAmplX, "Eff. X", "lp"); + legend->AddEntry(graphEffAmplY, "Eff. Y", "lp"); + } + else { + legend->AddEntry(graphEffAmplX, "Ampl. X", "lp"); + legend->AddEntry(graphEffAmplY, "Ampl. Y", "lp"); + } legend->Draw(); cFull->Update(); - cFull->SaveAs("./spatialResolutionEfficiency.pdf"); + cFull->SaveAs("./spatialResolution.pdf"); //cFull->SaveAs(plotName.c_str()); }