1 | /* ======================================================================== *\!
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2 | ! Author(s): Javier Rico
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3 | \* ======================================================================== */
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4 |
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5 | void cleanComp()
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6 | {
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7 | // general settings
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8 | gROOT->Reset();
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9 | gStyle->SetCanvasColor(0);
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10 | gStyle->SetCanvasBorderMode(0);
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11 | gStyle->SetPadBorderMode(0);
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12 | gStyle->SetFrameBorderMode(0);
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13 | gStyle->SetOptTitle(1);
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14 | // gStyle->SetTitleOffset(1.7,"y");
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15 | // gStyle->SetPadLeftMargin(0.15);
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16 | gStyle->SetOptStat(111110);
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17 | gStyle->SetStatColor(0);
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18 | gStyle->SetStatBorderSize(1);
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19 | gStyle->SetStatW(0.2);
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20 | gStyle->SetStatH(0.1);
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21 | gStyle->SetStatX(0.9);
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22 | gStyle->SetStatY(0.9);
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23 |
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24 | // define files, chain, trees, canvas...
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25 | TChain* ton;
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26 | ton= new TChain("Events");
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27 |
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28 | // data file(s)
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29 | ton->Add("/local_disk/jrico/mc/cleanComp0-3.root");
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30 |
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31 | // define aliases
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32 | ton->SetAlias("run","MRawRunHeader.fRunNumber");
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33 | ton->SetAlias("event","MRawEvtHeader.fDAQEvtNumber");
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34 | ton->SetAlias("energy","MMcEvt.fEnergy");
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35 |
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36 | // alpha0 is for the file without noise
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37 | // alphaNOCL is for the file with noise and no cleaning
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38 | ton->SetAlias("alpha0","MHillasSrc0.fAlpha");
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39 | ton->SetAlias("alphaNOCL","MHillasSrcnoclean.fAlpha");
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40 | ton->SetAlias("alpha3015","MHillasSrc3015.fAlpha");
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41 | ton->SetAlias("alpha4025","MHillasSrc4025.fAlpha");
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42 | ton->SetAlias("alpha5035","MHillasSrc5035.fAlpha");
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43 | ton->SetAlias("alpha6045","MHillasSrc6045.fAlpha");
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44 |
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45 | // ton->Scan("run:event","alpha0<-30 && energy>2500 && energy<5000");
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46 |
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47 | // plotAlphaWidth(ton);
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48 | plotAlphaWidthVsEnergy(ton);
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49 | // plotEfficiencies(ton);
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50 | }
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51 |
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52 | void plotAlphaWidth(TChain* ton)
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53 | {
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54 | // define and fill histos
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55 | const Int_t nbins=90;
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56 | TH1F* halpha3015 = new TH1F("Alpha3015" ,"Alpha3015",nbins,-180,180);
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57 | TH1F* halpha4025 = new TH1F("Alpha4025" ,"Alpha4025",nbins,-180,180);
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58 | TH1F* halpha5035 = new TH1F("Alpha5035" ,"Alpha5035",nbins,-180,180);
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59 | TH1F* halpha6045 = new TH1F("Alpha6045" ,"Alpha6045",nbins,-180,180);
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60 |
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61 | halpha3015->SetXTitle("alpha-alpha0 (deg)");
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62 | halpha3015->SetYTitle("Entries");
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63 |
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64 | halpha3015->SetLineColor(1);
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65 | halpha4025->SetLineColor(2);
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66 | halpha5035->SetLineColor(3);
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67 | halpha6045->SetLineColor(4);
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68 |
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69 | ton->Draw("alpha3015-alpha0>>Alpha3015","alpha3015!=0");
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70 | ton->Draw("alpha4025-alpha0>>Alpha4025","alpha4025!=0");
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71 | ton->Draw("alpha5035-alpha0>>Alpha5035","alpha5035!=0");
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72 | ton->Draw("alpha6045-alpha0>>Alpha6045","alpha6045!=0");
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73 |
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74 | // plot
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75 | TCanvas *c1 = new TCanvas("c1","c1",800,500);
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76 | c1->cd(1);
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77 |
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78 | halpha3015->Draw("HIST");
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79 | halpha4025->Draw("HISTSAMES");
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80 | halpha5035->Draw("HISTSAMES");
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81 | halpha6045->Draw("HISTSAMES");
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82 |
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83 | gPad->Update();
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84 | TPaveStats* pvstat4025 = (TPaveStats*) halpha4025->GetListOfFunctions()->FindObject("stats");
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85 | TPaveStats* pvstat5035 = (TPaveStats*) halpha5035->GetListOfFunctions()->FindObject("stats");
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86 | TPaveStats* pvstat6045 = (TPaveStats*) halpha6045->GetListOfFunctions()->FindObject("stats");
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87 |
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88 | Float_t shifty = pvstat4025->GetY2NDC()-pvstat4025->GetY1NDC();
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89 |
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90 | pvstat4025->SetY1NDC(pvstat4025->GetY1NDC()-shifty);
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91 | pvstat4025->SetY2NDC(pvstat4025->GetY2NDC()-shifty);
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92 | pvstat5035->SetY1NDC(pvstat5035->GetY1NDC()-2*shifty);
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93 | pvstat5035->SetY2NDC(pvstat5035->GetY2NDC()-2*shifty);
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94 | pvstat6045->SetY1NDC(pvstat6045->GetY1NDC()-3*shifty);
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95 | pvstat6045->SetY2NDC(pvstat6045->GetY2NDC()-3*shifty);
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96 |
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97 | gPad->Modified();
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98 | gPad->Update();
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99 |
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100 | c1->Print("cleanComp.ps");
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101 | }
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102 |
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103 | /*******************************************************************************/
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104 | void plotAlphaWidthVsEnergy(TChain* ton)
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105 | {
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106 | const Int_t nbins = 8;
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107 | Float_t bound[nbins+1] ={0,30,50,80,150,300,600,1200,3000}; // boundary of considered size bins
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108 |
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109 | // define the arrays that will feed the graphs
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110 | // value of rms of the alpha-alpha0 distribution, and errors
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111 | Float_t alpha0[nbins];
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112 | Float_t alpha3015[nbins];
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113 | Float_t alpha4025[nbins];
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114 | Float_t alpha5035[nbins];
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115 | Float_t alpha6045[nbins];
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116 |
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117 | Float_t ealpha0[nbins];
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118 | Float_t ealpha3015[nbins];
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119 | Float_t ealpha4025[nbins];
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120 | Float_t ealpha5035[nbins];
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121 | Float_t ealpha6045[nbins];
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122 |
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123 | // x axis and error
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124 | Float_t x[nbins];
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125 | Float_t ex[nbins];
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126 |
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127 | TH1F* hp[nbins];
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128 |
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129 | // define the function that will be used to fit the histograms
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130 | TF1 f2("f2","[0]+[1]/[3]*exp(-(x-[2])*(x-[2])/(2*[3]*[3]))",-180.,180.);
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131 | f2.SetParameters(0,100,0,02);
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132 | f2.FixParameter(0,0);
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133 | f2.SetLineWidth(1);
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134 |
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135 | // fill the arrays
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136 | for(Int_t i=0;i<nbins;i++)
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137 | {
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138 | // cout << "Bin " << i << endl;
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139 | TH1F dummy0("dummy0" ,"dummy0",100,-90,90);
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140 | TH1F dummy3015("dummy3015" ,"dummy3015",100,-180,180);
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141 | TH1F dummy4025("dummy4025" ,"dummy4025",100,-180,180);
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142 | TH1F dummy5035("dummy5035" ,"dummy5035",100,-180,180);
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143 | TH1F dummy6045("dummy6045" ,"dummy6045",100,-180,180);
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144 |
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145 | TH1F xdummy("xdummy" ,"xdummy",100,bound[i],bound[i+1]);
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146 |
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147 | // define the cuts for each of the cleaning levels
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148 | char cut[100];
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149 | sprintf(cut,"energy>%f && energy<%f && alpha0!=0",bound[i],bound[i+1]);
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150 | char cut3015[200];
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151 | sprintf(cut3015,"%s && alpha3015!=0",cut);
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152 | char cut4025[200];
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153 | sprintf(cut4025,"%s && alpha4025!=0",cut);
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154 | char cut5035[200];
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155 | sprintf(cut5035,"%s && alpha5035!=0",cut);
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156 | char cut6045[200];
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157 | sprintf(cut6045,"%s && alpha6045!=0",cut);
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158 |
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159 | TF1 f1("f1","[0]+[1]/[3]*exp(-(x-[2])*(x-[2])/(2*[3]*[3]))",-180.,180.);
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160 | f1.SetParameters(0,100,0,02);
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161 | f1.FixParameter(0,0);
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162 |
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163 |
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164 | // fill the histograms to extract later the information from rms, entries, means, etc
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165 | ton->Draw("alpha0>>dummy0",cut);
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166 | ton->Draw("alpha3015-alpha0>>dummy3015",cut3015);
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167 | ton->Draw("alpha4025-alpha0>>dummy4025",cut4025);
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168 | ton->Draw("alpha5035-alpha0>>dummy5035",cut5035);
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169 | ton->Draw("alpha6045-alpha0>>dummy6045",cut6045);
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170 |
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171 | ton->Draw("energy>>xdummy",cut);
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172 |
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173 | // fit to a gaussian and get the sigma to be plotted later
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174 | dummy0.Fit("f1");
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175 | alpha0[i] =f1.GetParameter(3);
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176 | dummy3015.Fit("f1");
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177 | alpha3015[i]=f1.GetParameter(3);
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178 | dummy4025.Fit("f1");
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179 | alpha4025[i]=f1.GetParameter(3);
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180 | dummy5035.Fit("f1");
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181 | alpha5035[i]=f1.GetParameter(3);
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182 | dummy6045.Fit("f1");
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183 | alpha6045[i]=f1.GetParameter(3);
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184 |
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185 | Float_t nevt0 = dummy0.GetEntries();
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186 | Float_t nevt3015 = dummy3015.GetEntries();
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187 | Float_t nevt4025 = dummy4025.GetEntries();
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188 | Float_t nevt5035 = dummy5035.GetEntries();
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189 | Float_t nevt6045 = dummy6045.GetEntries();
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190 |
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191 | // since gaussian is not so good aproximation, compute error like follows
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192 | ealpha0[i] = alpha0[i]/TMath::Sqrt(2*nevt0);
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193 | ealpha3015[i]= alpha3015[i]/TMath::Sqrt(2*nevt3015);
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194 | ealpha4025[i]= alpha4025[i]/TMath::Sqrt(2*nevt4025);
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195 | ealpha5035[i]= alpha5035[i]/TMath::Sqrt(2*nevt5035);
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196 | ealpha6045[i]= alpha6045[i]/TMath::Sqrt(2*nevt6045);
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197 |
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198 | // copy some histos to be plotted later
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199 | Char_t nom[10];
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200 | sprintf(nom,"hp[%02d]",i);
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201 | hp[i] = new TH1F(nom,nom,100,-180,180);
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202 | hp[i]->GetXaxis()->SetTitle("alpha (deg)");
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203 | hp[i]->Add(&dummy6045);
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204 | hp[i]->Fit("f2");
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205 |
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206 | // cout << xdummy.GetMean() << " " << xdummy.GetRMS()<< " " << xdummy.GetEntries() << endl;
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207 | x[i] = xdummy.GetMean();
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208 | // Float_t rms = xdummy.GetRMS();
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209 | ex[i] = 0;//rms*rms/xdummy.GetEntries();
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210 | }
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211 |
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212 | //#if 0
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213 | TCanvas* cdum = new TCanvas("cdum","cdum",600,900);
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214 | cdum->Divide(2,nbins/2+1);
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215 | for(Int_t i=0;i<nbins;i++)
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216 | {
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217 | cdum->cd(i+1);
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218 | hp[i]->Draw();
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219 | gPad->Modified();
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220 | gPad->Update();
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221 | }
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222 | //#endif
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223 |
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224 | // create the graphs
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225 | TGraphErrors* gr0 = new TGraphErrors(nbins,x,alpha0,ex,ealpha0);
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226 | TGraphErrors* gr3015 = new TGraphErrors(nbins,x,alpha3015,ex,ealpha3015);
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227 | TGraphErrors* gr4025 = new TGraphErrors(nbins,x,alpha4025,ex,ealpha4025);
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228 | TGraphErrors* gr5035 = new TGraphErrors(nbins,x,alpha5035,ex,ealpha5035);
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229 | TGraphErrors* gr6045 = new TGraphErrors(nbins,x,alpha6045,ex,ealpha6045);
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230 |
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231 | // marker/line colors
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232 | gr0->SetMarkerStyle(20);
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233 | gr3015->SetMarkerStyle(24);
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234 | gr4025->SetMarkerStyle(21);
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235 | gr5035->SetMarkerStyle(25);
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236 | gr6045->SetMarkerStyle(22);
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237 |
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238 | gr0->SetMarkerColor(1);
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239 | gr3015->SetMarkerColor(2);
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240 | gr4025->SetMarkerColor(3);
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241 | gr5035->SetMarkerColor(4);
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242 | gr6045->SetMarkerColor(6);
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243 |
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244 | gr0->SetLineColor(1);
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245 | gr3015->SetLineColor(2);
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246 | gr4025->SetLineColor(3);
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247 | gr5035->SetLineColor(4);
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248 | gr6045->SetLineColor(6);
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249 |
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250 | //////////////////////
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251 | // plot alpha width //
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252 | //////////////////////
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253 | TCanvas *c1 = new TCanvas("c1","c1",800,500);
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254 | c1->cd(1);
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255 | gPad->SetGridx();
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256 | gPad->SetGridy();
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257 | gPad->SetLogx();
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258 |
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259 | TGraphErrors* grfirst = gr4025;
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260 | grfirst->Draw("APL");
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261 | gr0->Draw("PL");
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262 | gr3015->Draw("PL");
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263 | gr4025->Draw("PL");
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264 | gr5035->Draw("PL");
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265 | gr6045->Draw("PL");
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266 |
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267 | grfirst->GetHistogram()->SetTitle("Cleaning comparison (alpha)");
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268 | grfirst->GetHistogram()->GetXaxis()->SetTitle("E_{MC} [GeV]");
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269 | grfirst->GetHistogram()->GetYaxis()->SetTitle("#sigma (alpha-alpha_{0}) [deg]");
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270 | grfirst->GetHistogram()->SetMaximum(80);
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271 |
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272 | TPaveLabel* label = new TPaveLabel(0.25,0.75,0.6,0.85,"MC Gammas - zbins 0-3","NDC");
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273 | label->SetBorderSize(0);
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274 | label->SetFillColor(0);
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275 | label->Draw();
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276 |
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277 | // legend
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278 | TLegend* leg = new TLegend(.6,.5,.8,.8);
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279 | leg->SetHeader("");
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280 | leg->SetFillColor(0);
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281 | leg->SetLineColor(0);
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282 | leg->SetBorderSize(0);
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283 | leg->AddEntry(gr0,"No noise","p");
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284 | leg->AddEntry(gr3015,"(3.0,1.5)","p");
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285 | leg->AddEntry(gr4025,"(4.0,2.5)","p");
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286 | leg->AddEntry(gr5035,"(5.0,3.5)","p");
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287 | leg->AddEntry(gr6045,"(6.0,4.5)","p");
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288 | leg->Draw();
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289 |
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290 | gPad->Modified();
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291 | gPad->Update();
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292 | // print to file
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293 | c1->Print("cleanAlphaWidthVSEnergy.ps");
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294 | }
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295 |
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296 | /*******************************************************************************/
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297 | void plotEfficiencies(TChain* ton)
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298 | {
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299 | const Int_t nbins = 8;
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300 | Float_t bound[nbins+1] ={0,30,50,80,150,300,600,1200,3000}; // boundary of considered size bins
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301 |
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302 | // define the arrays that will feed the graphs
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303 | // gamma detection efficiency, and errors
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304 | Float_t effNOCL[nbins];
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305 | Float_t eff3015[nbins];
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306 | Float_t eff4025[nbins];
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307 | Float_t eff5035[nbins];
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308 | Float_t eff6045[nbins];
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309 |
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310 | Float_t eeffNOCL[nbins];
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311 | Float_t eeff3015[nbins];
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312 | Float_t eeff4025[nbins];
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313 | Float_t eeff5035[nbins];
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314 | Float_t eeff6045[nbins];
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315 |
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316 | // x axis and error
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317 | Float_t x[nbins];
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318 | Float_t ex[nbins];
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319 |
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320 | // fill the arrays
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321 | for(Int_t i=0;i<nbins;i++)
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322 | {
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323 | // cout << "Bin " << i << endl;
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324 | TH1F dummyNOCL("dummyNOCL" ,"dummyNOCL",100,-90,90);
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325 | TH1F dummy3015("dummy3015" ,"dummy3015",100,-90,90);
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326 | TH1F dummy4025("dummy4025" ,"dummy4025",100,-90,90);
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327 | TH1F dummy5035("dummy5035" ,"dummy5035",100,-90,90);
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328 | TH1F dummy6045("dummy6045" ,"dummy6045",100,-90,90);
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329 |
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330 | TH1F xdummy("xdummy" ,"xdummy",100,bound[i],bound[i+1]);
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331 |
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332 | // define the cuts for each of the cleaning levels
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333 | char cut[100];
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334 | sprintf(cut,"energy>%f && energy<%f && alpha0!=0",bound[i],bound[i+1]);
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335 | char cutNOCL[200];
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336 | sprintf(cutNOCL,"%s && alphaNOCL!=0",cut);
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337 | char cut3015[200];
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338 | sprintf(cut3015,"%s && alpha3015!=0",cut);
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339 | char cut4025[200];
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340 | sprintf(cut4025,"%s && alpha4025!=0",cut);
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341 | char cut5035[200];
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342 | sprintf(cut5035,"%s && alpha5035!=0",cut);
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343 | char cut6045[200];
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344 | sprintf(cut6045,"%s && alpha6045!=0",cut);
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345 |
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346 |
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347 | // fill the histograms to extract later the information from rms, entries, means, etc
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348 | ton->Draw("alpha0>>dummyNOCL",cutNOCL);
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349 | ton->Draw("alpha0>>dummy3015",cut3015);
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350 | ton->Draw("alpha0>>dummy4025",cut4025);
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351 | ton->Draw("alpha0>>dummy5035",cut5035);
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352 | ton->Draw("alpha0>>dummy6045",cut6045);
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353 |
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354 | ton->Draw("energy>>xdummy",cut);
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355 |
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356 | Float_t nevt0 = dummyNOCL.GetEntries();
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357 | Float_t nevt3015 = dummy3015.GetEntries();
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358 | Float_t nevt4025 = dummy4025.GetEntries();
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359 | Float_t nevt5035 = dummy5035.GetEntries();
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360 | Float_t nevt6045 = dummy6045.GetEntries();
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361 |
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362 | // fill the array of efficiencies
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363 | eff3015[i] = nevt3015/nevt0*100;
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364 | eff4025[i] = nevt4025/nevt0*100;
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365 | eff5035[i] = nevt5035/nevt0*100;
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366 | eff6045[i] = nevt6045/nevt0*100;
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367 |
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368 | eeff3015[i] = TMath::Sqrt(nevt3015)/nevt0*100;
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369 | eeff4025[i] = TMath::Sqrt(nevt4025)/nevt0*100;
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370 | eeff5035[i] = TMath::Sqrt(nevt5035)/nevt0*100;
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371 | eeff6045[i] = TMath::Sqrt(nevt6045)/nevt0*100;
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372 |
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373 | // cout << xdummy.GetMean() << " " << xdummy.GetRMS()<< " " << xdummy.GetEntries() << endl;
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374 | x[i] = xdummy.GetMean();
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375 | // Float_t rms = xdummy.GetRMS();
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376 | ex[i] = 0;//rms*rms/xdummy.GetEntries();
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377 | }
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378 |
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379 | // create the graphs
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380 | TGraphErrors* efgr3015 = new TGraphErrors(nbins,x,eff3015,ex,eeff3015);
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381 | TGraphErrors* efgr4025 = new TGraphErrors(nbins,x,eff4025,ex,eeff4025);
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382 | TGraphErrors* efgr5035 = new TGraphErrors(nbins,x,eff5035,ex,eeff5035);
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383 | TGraphErrors* efgr6045 = new TGraphErrors(nbins,x,eff6045,ex,eeff6045);
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384 |
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385 | // marker/line colors
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386 | efgr3015->SetMarkerStyle(24);
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387 | efgr4025->SetMarkerStyle(21);
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388 | efgr5035->SetMarkerStyle(25);
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389 | efgr6045->SetMarkerStyle(22);
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390 |
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391 | efgr3015->SetMarkerColor(2);
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392 | efgr4025->SetMarkerColor(3);
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393 | efgr5035->SetMarkerColor(4);
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394 | efgr6045->SetMarkerColor(6);
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395 |
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396 | efgr3015->SetLineColor(2);
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397 | efgr4025->SetLineColor(3);
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398 | efgr5035->SetLineColor(4);
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399 | efgr6045->SetLineColor(6);
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400 |
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401 | ///////////////////////
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402 | // plot efficiencies //
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403 | ///////////////////////
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404 | TCanvas *c1 = new TCanvas("c1","c1",800,500);
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405 | c1->cd(1);
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406 | gPad->SetGridx();
|
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407 | gPad->SetGridy();
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408 | gPad->SetLogx();
|
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409 |
|
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410 | TGraphErrors* efgrfirst = efgr6045;
|
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411 | efgrfirst->Draw("APL");
|
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412 | efgr3015->Draw("PL");
|
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413 | efgr4025->Draw("PL");
|
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414 | efgr5035->Draw("PL");
|
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415 | efgr6045->Draw("PL");
|
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416 |
|
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417 | efgrfirst->GetHistogram()->SetTitle("Cleaning comparison (efficiency)");
|
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418 | efgrfirst->GetHistogram()->GetXaxis()->SetTitle("E_{MC} [GeV]");
|
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419 | efgrfirst->GetHistogram()->GetYaxis()->SetTitle("Detection efficiency (%)");
|
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420 |
|
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421 | // label
|
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422 | TPaveLabel* eflabel = new TPaveLabel(0.5,0.49,0.85,0.59,"MC Gammas - zbins 0-3","NDC");
|
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423 | eflabel->SetBorderSize(0);
|
---|
424 | eflabel->SetFillColor(0);
|
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425 | eflabel->Draw();
|
---|
426 |
|
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427 | // legend
|
---|
428 | TLegend* efleg = new TLegend(.6,.2,.8,.5);
|
---|
429 | efleg->SetHeader("");
|
---|
430 | efleg->SetFillColor(0);
|
---|
431 | efleg->SetLineColor(0);
|
---|
432 | efleg->SetBorderSize(0);
|
---|
433 | efleg->AddEntry(efgr3015,"(3.0,1.5)","p");
|
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434 | efleg->AddEntry(efgr4025,"(4.0,2.5)","p");
|
---|
435 | efleg->AddEntry(efgr5035,"(5.0,3.5)","p");
|
---|
436 | efleg->AddEntry(efgr6045,"(6.0,4.5)","p");
|
---|
437 | efleg->Draw();
|
---|
438 |
|
---|
439 | gPad->Modified();
|
---|
440 | gPad->Update();
|
---|
441 |
|
---|
442 | // print to file
|
---|
443 | c1->Print("cleanEfficiency.ps");
|
---|
444 | }
|
---|
445 |
|
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