if (!runs[runi]->error)
{
// gROOT->SetBatch(kTRUE);
- // runs[runi]->plotSeed();
-
-// runs[runi]->plotSeedThresholdCalibrated();
-// runs[runi]->plotSeedThreshold();
-// runs[runi]->plotSeed();
- // runs[runi]->plotSum();
- // runs[runi]->plotVeto();
- // runs[runi]->plotNoise();
if (!isBatch)
gROOT->SetBatch(kFALSE);
- runs[runi]->compareHistogramClassVector.push_back(runs[runi]->histogram->calibrated);
- runs[runi]->compareHistogramClassVector.push_back(runs[runi]->histogramthreshold->calibrated);
- runs[runi]->compareHistogramClassVector.push_back(runs[runi]->dennismegacut->calibrated);
- runs[runi]->compareHistogramClassVector.push_back(runs[runi]->histogramfixedthreshold->calibrated);
- runs[runi]->plotCompareHistograms();
- runs[runi]->plotAllHistograms(runs[runi]->histogram->calibrated);
- runs[runi]->plotAllHistograms(runs[runi]->dennismegacut->calibrated);
- runs[runi]->plot1DHistogram(runs[runi]->histogram->calibrated, runs[runi]->histogram->Seed, "landau");
runs[runi]->plot1DHistogram(runs[runi]->histogram->calibrated, runs[runi]->histogram->calibrated->Seed, "landau");
- compareHistogramClassVector.push_back(runs[runi]->histogram->calibrated);
- compareHistogramVector.push_back(runs[runi]->histogram->Seed);
-// runs[runi]->integrateSr90Spectra(&runs[runi]->histogramfixedthresholdCalibrated, runs[runi]->histogramfixedthresholdCalibrated.Seed, 0);
-// runs[runi]->plot1DHistogram(&runs[runi]->histogramfixedthresholdCalibrated, runs[runi]->histogramfixedthresholdCalibrated.Seed, "landau");
-// runs[runi]->plot1DHistogram(&runs[runi]->histogramthresholdCalibrated, runs[runi]->histogramthresholdCalibrated.Seed, "landau");
-// runs[runi]->plotAllHistograms(&runs[runi]->histogramfixedthreshold);
-// runs[runi]->plotAllHistograms();
-// runs[runi]->plotAllHistograms();
-// runs[runi]->plotAllHistogramsThresholdCluster();
-// runs[runi]->plotAllHistogramsThresholdClusterCalibrated();
-// runs[runi]->plotClusterDistribution(&runs[runi]->histogramthresholdCalibrated);
-
-// runs[runi]->plotAllHistogramsCalibrated();
runs[runi]->writeAllHistogramsToFile();
}
}
l->Draw("same");
TString legendEntry = TString(Form("peak position: %.1f",xVal ));
- TLegend* leg = new TLegend(0.5,0.8,0.6,0.89);//(0.6,0.7,0.89,0.89);
+ TLegend* leg = new TLegend(0.65,0.65,0.80,0.80);//(0.6,0.7,0.89,0.89);
leg->SetFillColor(0);
leg->SetBorderSize(0);
leg->AddEntry((TObject*) 0, legendEntry, "");
- leg->SetTextSize(0.03);
+ leg->SetTextSize(0.025);
leg->Draw();
}
}
onehistogram->Draw();
Float_t maxValue = HistogramTypepointer->FitPerform(onehistogram, fitFuncType);
plotVerticalLine(onehistogram, maxValue);
- TLegend* leg = new TLegend(0.8,0.8,0.89,0.89);//(0.6,0.7,0.89,0.89);
+ TLegend* leg = new TLegend(0.4,0.8,0.89,0.89);//(0.6,0.7,0.89,0.89);
leg->SetFillColor(0);
leg->SetBorderSize(0);
if (legendstr.Length() < 1)