-
Notifications
You must be signed in to change notification settings - Fork 1
/
dp_cuts.C
237 lines (169 loc) · 6.91 KB
/
dp_cuts.C
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
#define dp_cuts_cxx
#include "dp_cuts.h"
#include <TH2.h>
#include <TStyle.h>
#include "scripts/fit1MeV_GaussianPlusCBWithExp_redo.C"
//**************** Definition Section **************
TH1 * totalcuthist = NULL;
TH1 * totalcutpull = NULL;
TF1 * myDpFit = NULL;
TF1 * signalfit = NULL;
TF1 * backgroundfit = NULL;
void dp_cuts::Begin(TTree * /*tree*/)
{
TString option = GetOption();
//************** Initialization Section ************
myDpFit = new TF1("myDpFit",fit1MeV_GaussianPlusCBWithExp_redo,1819,1919, 9);
myDpFit->SetParNames("nSignal", "mu", "rms_wdth", "sigma_1", "gaus_frac", "exp_int","exp_coef","CB_alpha","CB_n");
myDpFit->SetLineColor(kRed+1);
myDpFit->SetLineWidth(2);
signalfit = new TF1("signalfit",primaryGaussian,1819,1919, 9);
signalfit->SetParNames("nSignal", "mu", "rms_wdth", "sigma_1", "gaus_frac", "exp_int","exp_coef","CB_alpha","CB_n");
signalfit->SetLineColor(kGreen+1);
signalfit->SetLineStyle(8);
signalfit->SetLineWidth(2);
backgroundfit = new TF1("backgroundfit",backgroundCB,1819,1919, 9);
backgroundfit->SetParNames("nSignal", "mu", "rms_wdth", "sigma_1", "gaus_frac", "exp_int","exp_coef","CB_alpha","CB_n");
backgroundfit->SetLineColor(kBlack);
backgroundfit->SetLineStyle(2);
backgroundfit->SetLineWidth(2);
totalcuthist = new TH1D("D^{+} cuts","D^{+} #rightarrow K^{+}K^{-}#pi^{+} Cut and Fit",100,1819,1919);
totalcuthist->SetStats(0);
totalcuthist->SetTitleFont(43);
totalcuthist->SetTitleSize(35);
totalcuthist->GetYaxis()->SetTitle("Candidates/(1 MeV/c^{2})");
totalcuthist->SetMinimum(10);//make minimum 1 so logy doesnt break
totalcuthist->GetYaxis()->SetTitleFont(43);
totalcuthist->GetYaxis()->SetTitleSize(30);
totalcuthist->GetYaxis()->CenterTitle(true);
totalcutpull = new TH1D("total cut pull plot", "Pull Plot", 100,1819,1919);
totalcutpull->SetStats(0);
totalcutpull->GetYaxis()->SetTitle("Pull");
totalcutpull->GetYaxis()->SetTitleSize(30);
totalcutpull->GetYaxis()->SetTitleFont(43);
totalcutpull->GetYaxis()->CenterTitle(true);
totalcutpull->GetYaxis()->SetLabelSize(0.1);
totalcutpull->GetXaxis()->SetTitle("D^{+} mass [MeV/c^{2}]");
totalcutpull->GetXaxis()->SetTitleSize(30);
totalcutpull->GetXaxis()->SetTitleFont(43);
totalcutpull->GetXaxis()->CenterTitle(true);
totalcutpull->GetXaxis()->SetLabelSize(0.15);
totalcutpull->GetXaxis()->SetTitleOffset(4);
totalcutpull->SetFillColor(kBlue);
totalcutpull->SetLineColor(kBlue);
totalcutpull->SetBit(TH1::kNoTitle);
totalcutpull->GetYaxis()->SetNdivisions(7);
}
void dp_cuts::SlaveBegin(TTree * /*tree*/) {}
Bool_t dp_cuts::Process(Long64_t entry)
{
fReader.SetLocalEntry(entry);
GetEntry(entry);
//*************** Loop Section ********************
totalcuthist->Fill(*Dplus_MM);
return kTRUE;
}
void dp_cuts::SlaveTerminate() {}
void dp_cuts::Terminate()
{
//**************** Wrap-up Section ****************
Double_t maxbin = totalcuthist->GetBinContent(totalcuthist->GetMaximumBin());
Double_t firstbin = totalcuthist->GetBinContent(1);//used for intercept guess
Double_t lastbin = totalcuthist->GetBinContent(99);//used for slope guess
Double_t nSignalGuess = (maxbin-firstbin)*15;
Double_t expCoefGuess = (lastbin-firstbin)/100;
cout << "signal guess is: " << nSignalGuess << endl;
myDpFit->SetParameter(0,nSignalGuess);//nSignal
myDpFit->SetParLimits(0,100000,140000);//this is a yikes... need to address
myDpFit->SetParameter(1,1869);//mu
myDpFit->SetParameter(2,4.);//rms of double gaussian
myDpFit->SetParLimits(2,0.,20.);
myDpFit->SetParameter(3,7);//sigma_1 of primary gaussian
myDpFit->SetParameter(4,0.85);//fraction of signal in primary gaussian
myDpFit->SetParLimits(4,0.001,0.099999);
myDpFit->SetParameter(5,firstbin);//exp intercept
myDpFit->SetParameter(6,expCoefGuess);//coefficient background exponential
myDpFit->SetParameter(7, 1.5);//crystal ball alpha
myDpFit->SetParameter(8,2.5);//crystal ball n
myDpFit->SetParLimits(8,1.00001,6.);
auto totalpullcan = new TCanvas("totalpullcan", "totalpullcan", 1000, 800);
// gStyle->SetOptStat(11);
TPad *pad1 = new TPad("pad1","pad1",0,0.25,1,1.0);
TPad *pad2 = new TPad("pad2","pad2",0,0.0,1,0.25);
pad1->Draw();
pad2->Draw();
pad1->cd();
pad1->SetBottomMargin(0);
pad1->SetLeftMargin(0.15);
pad1->SetLogy();//comment this line out to have a non-log plot
totalcuthist->Fit("myDpFit","RL");
Double_t nSignal = myDpFit->GetParameter(0);
Double_t mu = myDpFit->GetParameter(1);
Double_t rms = myDpFit->GetParameter(2);
Double_t sigma1 = myDpFit->GetParameter(3);
Double_t f = myDpFit->GetParameter(4);
//Double_t sigma2sq = (rms*rms - f*sigma1*sigma1)/(1-f);
//Double_t sigma2 = TMath::Sqrt(sigma2sq);
Double_t exp_int = myDpFit->GetParameter(5);
Double_t exp_coef = myDpFit->GetParameter(6);
//skip bin width because const
Double_t CB_alpha = myDpFit->GetParameter(7);
Double_t CB_n = myDpFit->GetParameter(8);
signalfit->SetParameter(0,nSignal);//nSignal
signalfit->SetParameter(1,mu);//mu
signalfit->SetParameter(2,rms);//rms of double gaussian
signalfit->SetParameter(3,sigma1);//sigma_1 of primary gaussian
signalfit->SetParameter(4,f);//fraction of signal in primary gaussian
signalfit->SetParameter(5,exp_int);
signalfit->SetParameter(6,exp_coef);
signalfit->SetParameter(7,CB_alpha);
signalfit->SetParameter(8,CB_n);
backgroundfit->SetParameter(0,nSignal);
backgroundfit->SetParameter(1,mu);
backgroundfit->SetParameter(2,rms);
backgroundfit->SetParameter(3,sigma1);
backgroundfit->SetParameter(4,f);
backgroundfit->SetParameter(5,exp_int);
backgroundfit->SetParameter(6,exp_coef);
backgroundfit->SetParameter(7,CB_alpha);
backgroundfit->SetParameter(8,CB_n);
totalcuthist->Draw();
signalfit->Draw("same");
backgroundfit->Draw("same");
TString muStr;
TString muStrpm;
muStr.Form("%5.6f\n",mu);
muStrpm.Form("%5.6f\n",myDpFit->GetParError(1));
TString nSignalStr;
TString nSignalStrpm;
nSignalStr.Form("%5.0f\n",nSignal);
nSignalStrpm.Form("%5.0f\n",myDpFit->GetParError(0));
auto lt = new TLatex();
lt->SetTextSize(0.03);
lt->DrawLatexNDC(0.62, 0.55, "#mu = "+muStr+" #pm "+muStrpm+" MeV/c^{2}");//0.62 for y if not log
lt->DrawLatexNDC(0.62, 0.50, "Signal Events = "+nSignalStr+" #pm "+nSignalStrpm);//0.57 for y if not log
auto fitlegend = new TLegend(0.7,0.7,0.9,0.9);
fitlegend->AddEntry(myDpFit, "Total Fit", "l");
fitlegend->AddEntry(signalfit, "Signal Fit", "l");
fitlegend->AddEntry(backgroundfit, "Background Fit", "l");
fitlegend->Draw();
pad2->cd();
pad2->SetTopMargin(0);
pad2->SetBottomMargin(0.4);
pad2->SetLeftMargin(0.15);
pad2->SetGridx();
Double_t xVals[100];
Double_t yVals[100];
for (Int_t i=1;i<100;i++) {
Double_t x = totalcuthist->GetBinCenter(i);
Double_t val = myDpFit->Eval(totalcuthist->GetBinCenter(i));
Double_t sigma = sqrt(val);
Double_t pull = (totalcuthist->GetBinContent(i)-val)/sigma;
totalcutpull->SetBinContent(i,pull);
xVals[i]=x;
yVals[i]=pull;
}
totalcutpull->Draw();
totalpullcan->cd();
totalpullcan->SaveAs("image/dp_fit_makeSelector.png");
}