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root/cvsroot/UserCode/cbrown/AnalysisFramework/Plotting/various_studies.C
Revision: 1.20
Committed: Wed Aug 17 14:26:26 2011 UTC (13 years, 8 months ago) by buchmann
Content type: text/plain
Branch: MAIN
Changes since 1.19: +21 -5 lines
Log Message: 
Added Poisson ratio plot testing to various studies workflow

File Contents

# User Rev Content
1 buchmann 1.1 /*
2    
3     to compile: just run make ... that should take care of it.
4    
5     */
6     #include <iostream>
7     #include <vector>
8     #include <sys/stat.h>
9     #include "Modules/GeneralToolBox.C"
10     #include "Modules/SampleClass.C"
11     #include "Modules/PeakFinder.C"
12     #include "Modules/Poisson_Calculator.C"
13     #include "Modules/setTDRStyle.C"
14     #include "Modules/ActiveSamples.C"
15     #include "Modules/UpperLimitsWithShape.C"
16     #include "Modules/Setup.C"
17 buchmann 1.8 #include "Modules/external/cl95cms.c"
18 buchmann 1.1 #include "Modules/Plotting_Functions.C" //also included for peak finding etc.
19 buchmann 1.20 #include "Modules/ResultModule.C"
20     #include "Modules/ExperimentalModule.C"
21 buchmann 1.1 #include "Modules/StudyModule.C" //also included for peak finding etc.
22 buchmann 1.8 #include "Modules/LimitCalculation.C"
23 buchmann 1.9 #include "Modules/Systematics.C"
24     #include "Modules/SUSYScan.C"
25 buchmann 1.1
26     #include <TCut.h>
27     #include <TROOT.h>
28     #include <TCanvas.h>
29     #include <TMath.h>
30     #include <TColor.h>
31     #include <TPaveText.h>
32     #include <TRandom.h>
33     #include <TH1.h>
34     #include <TH2.h>
35     #include <TF1.h>
36     #include <TSQLResult.h>
37    
38     #ifndef Verbosity
39     #define Verbosity 0
40     #endif
41     #ifndef HUSH
42     #define HUSH 1
43     #endif
44    
45     using namespace std;
46    
47     using namespace PlottingSetup;
48    
49     int main()
50     {
51     gROOT->SetStyle("Plain");
52 buchmann 1.18 bool do_fat_line=false; // if you want to have HistLineWidth=1 and FuncWidth=1 as it was before instead of 2
53     setTDRStyle(do_fat_line);
54 buchmann 1.1 gStyle->SetTextFont(42);
55     bool showList=false;
56     set_treename("events");//you can set the treename here to be used; options are "events" (for reco) for "PFevents" (for particle flow)
57 buchmann 1.9 define_samples(showList,allsamples,signalsamples,scansample);
58 buchmann 1.1 setlumi(luminosity);
59     do_png(true);
60 fronga 1.16 do_pdf(true);
61 buchmann 1.15 do_eps(false);
62     do_C(false);
63 buchmann 1.20 set_directory("messing_with_statistics");//here you can give it a name, for instance "1234pb" or whatever you like :-)
64 buchmann 1.1 setessentialcut(essential);//this sets the essential cut; this one is used in the draw command so it is AUTOMATICALLY applied everywhere. IMPORTANT: Do NOT store weights here!
65     stringstream resultsummary;
66    
67     //what to do :
68     bool do_all=false;/// DONE
69 buchmann 1.20 bool do_peak_finding=true; /// DONE
70 buchmann 1.1 bool calculate_pred_and_observed=false; /// DONE
71 buchmann 1.5 bool study_sidebands=false; /// FOR REAL
72 buchmann 1.1 bool do_test=false;/// DONE (just any test you wish)
73     bool do_jzb_correction=false; //use this to find out the correction factor; originally this was done automatically but now you should do this separately and update Modules/Setup.C
74 buchmann 1.14 bool do_find_sideband_definition=false;
75 buchmann 1.9 bool do_pick_up_events=false; ///DONE
76 buchmann 1.8 bool do_ttbar_with_shapes=false;
77     bool do_upper_limits=false;
78 buchmann 1.14 bool do_run_check=false;
79 buchmann 1.19 bool do_kinematic_dist_of_pred_and_obs=false;//former do_plot_list
80 buchmann 1.14
81 buchmann 1.20 bool do_show_dibosons=false;
82 buchmann 1.1
83 buchmann 1.12 bool do_efficiency_scan_in_susy_space=false; /// NOW OUTSOURCED TO T3
84 buchmann 1.9 bool requireZ=true;
85 buchmann 1.12
86 buchmann 1.20 //very experimental :
87     bool do_beautiful_ratio_plots=true;
88    
89 buchmann 1.1 //**** part 1 : peak finding
90     float MCPeak=0,MCPeakError=0,DataPeak=0,DataPeakError=0,MCSigma=10,DataSigma=10;
91     method=Kostasmethod;//Kostasmethod;//dogaus3sigma;// options: dogaus,doKM,dogaus2sigma,dogaus3sigma
92 buchmann 1.14 if(do_peak_finding||do_show_dibosons||calculate_pred_and_observed||do_all) find_peaks(MCPeak,MCPeakError, DataPeak, DataPeakError,MCSigma,DataSigma,resultsummary);
93 buchmann 1.1
94     stringstream datajzb;
95     if(DataPeak>0) datajzb<<"("<<jzbvariabledata<<"-"<<TMath::Abs(DataPeak)<<")";
96     else datajzb<<"("<<jzbvariabledata<<"+"<<TMath::Abs(DataPeak)<<")";
97     stringstream mcjzb;
98     if(MCPeak>0) mcjzb<<"("<<jzbvariablemc<<"-"<<TMath::Abs(MCPeak)<<")";
99     else mcjzb<<"("<<jzbvariablemc<<"+"<<TMath::Abs(MCPeak)<<")";
100    
101 buchmann 1.6 dout << "With peak correction, we get : " << endl;
102     dout << " Data : " << datajzb.str() << endl;
103 fronga 1.16 dout << " MC : " << mcjzb.str() << endl;
104 buchmann 1.1
105 buchmann 1.3 if(do_find_sideband_definition) find_sideband_definition();
106    
107     if(do_jzb_correction) {
108     find_correction_factors(jzbvariabledata,jzbvariablemc);
109 buchmann 1.6 dout << "Please update Modules/Setup.C to reflect the following values (round them first ... )" <<endl;
110     dout << "Corrected JZB variable definition " << endl << " Data: " << jzbvariabledata << " and MC: " << jzbvariablemc << endl;
111     dout << endl;
112     dout << "If you're feeling lazy, copy & paste this : " << endl;
113     dout << " string jzbvariabledata=\""<<jzbvariabledata<<"\";"<<endl;
114     dout << " string jzbvariablemc=\"" <<jzbvariablemc<<"\";"<<endl;
115 buchmann 1.3 }
116 buchmann 1.1
117     if(study_sidebands) look_at_sidebands(mcjzb.str(),datajzb.str());
118    
119 buchmann 1.8 vector<float>jzb_limit_bins;
120 buchmann 1.10 jzb_limit_bins.push_back(50);
121     //jzb_limit_bins.push_back(75);jzb_limit_bins.push_back(100);
122     //jzb_limit_bins.push_back(150);jzb_limit_bins.push_back(200);jzb_limit_bins.push_back(500);
123 buchmann 1.8
124    
125     if(do_ttbar_with_shapes) prepare_ttbar_limits(mcjzb.str(),datajzb.str(),DataPeakError,MCPeakError,jzb_limit_bins);
126    
127     if(do_upper_limits) calculate_upper_limits(mcjzb.str(),datajzb.str());
128    
129 buchmann 1.5 if(do_pick_up_events) {
130    
131 buchmann 1.6 dout << "Observed: " << endl;
132 buchmann 1.5 pick_up_events((const char*)(cutmass&&cutOSSF&&cutnJets&&basiccut&&"((jzb[1]+0.06*pt-2.84727)>100)"));
133 buchmann 1.6 dout << "Predicted (JZB<-100) OSSF" << endl;
134 buchmann 1.5 pick_up_events((const char*)(cutmass&&cutOSSF&&cutnJets&&basiccut&&"((jzb[1]+0.06*pt-2.84727)<-100)"));
135 buchmann 1.6 dout << "Predicted (emu, JZB>100) OSOF" << endl;
136 buchmann 1.5 pick_up_events((const char*)(cutmass&&cutOSOF&&cutnJets&&basiccut&&"((jzb[1]+0.06*pt-2.84727)>100)"));
137 buchmann 1.6 dout << "Predicted (emu, JZB<-100) OSOF" << endl;
138 buchmann 1.5 pick_up_events((const char*)(cutmass&&cutOSOF&&cutnJets&&basiccut&&"((jzb[1]+0.06*pt-2.84727)<-100)"));
139 buchmann 1.6 dout << "Predicted (SB emu, JZB>100) OSOF" << endl;
140 buchmann 1.5 pick_up_events((const char*)(sidebandcut&&cutOSOF&&cutnJets&&basiccut&&"((jzb[1]+0.06*pt-2.84727)>100)"));
141 buchmann 1.6 dout << "Predicted (SB emu, JZB<-100) OSOF" << endl;
142 buchmann 1.5 pick_up_events((const char*)(cutOSOF&&cutnJets&&basiccut&&sidebandcut&&"((jzb[1]+0.06*pt-2.84727)<-100)"));
143 buchmann 1.6 dout << "Predicted (SB SF, JZB>100) OSSF" << endl;
144 buchmann 1.5 pick_up_events((const char*)(sidebandcut&&cutOSSF&&cutnJets&&basiccut&&"((jzb[1]+0.06*pt-2.84727)>100)"));
145 buchmann 1.6 dout << "Predicted (SB SF, JZB<-100) OSSF" << endl;
146 buchmann 1.5 pick_up_events((const char*)(sidebandcut&&cutOSSF&&cutnJets&&basiccut&&"((jzb[1]+0.06*pt-2.84727)<-100)"));
147     }
148    
149 buchmann 1.14 if(do_run_check) run_check();
150     if(do_show_dibosons) show_dibosons(datajzb.str(),mcjzb.str());
151    
152 buchmann 1.17 if(do_kinematic_dist_of_pred_and_obs) kinematic_dist_of_pred_and_obs();
153 buchmann 1.15
154 buchmann 1.1 if(do_test) test();
155    
156 buchmann 1.20
157     vector<float> ratio_binning;
158     ratio_binning.push_back(0);
159     ratio_binning.push_back(5);
160     ratio_binning.push_back(10);
161     ratio_binning.push_back(20);
162     ratio_binning.push_back(50);
163     ratio_binning.push_back(100);
164     ratio_binning.push_back(200);
165     ratio_binning.push_back(350);
166     //ratio_binning.push_back(500);
167     if(do_beautiful_ratio_plots) Poisson_ratio_plots(mcjzb.str(),datajzb.str(),ratio_binning,MCPeakError,DataPeakError);
168    
169 buchmann 1.1 return 0;
170     }
171    
172