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258112da 1
35d81915 2/// \file DriftKalman.C
3/// See http://en.wikipedia.org/wiki/Kalman_filter
4
258112da 5/*
6.x ~/UliStyle.C
7gSystem->AddIncludePath("-I$ALICE_ROOT/STAT");
8gSystem->AddIncludePath("-I$ALICE_ROOT/TPC/macros");
9gSystem->AddIncludePath("-I$ALICE_ROOT/TPC");
10gROOT->LoadMacro("$ALICE_ROOT/TPC/macros/AliXRDPROOFtoolkit.cxx+")
4070f709 11gSystem->Load("libSTAT");
258112da 12
13.L $ALICE_ROOT/TPC/CalibMacros/DriftKalman.C++
14 //
15 //
16 //
17 TFile fgoofie("goofieTree.root");
18 TTree *chainTime = (TTree*)fgoofie.Get("drift");
19 chainTime->SetAlias("mcut","abs(areaF/areaN-1.117)<0.1");
20 chainTime->SetAlias("atpcor","(1000*press/(3.329*(tempF)))-1");
21 chainTime->SetAlias("dvdrift","(((vdrift/2.636)-1))");
22 chainTime->SetAlias("trCorr","0");
23
24 Int_t npoints= chainTime->Draw("time:(dvdrift)-trCorr:(atpcor)","mcut");
25 Double_t *timeV = new Double_t[npoints];
26 Double_t *vdriftV = new Double_t[npoints];
27 Double_t *cPTV = new Double_t[npoints];
28 memcpy(timeV,chainTime->GetV1(),npoints*sizeof(Double_t));
29 memcpy(vdriftV,chainTime->GetV2(),npoints*sizeof(Double_t));
30 memcpy(cPTV,chainTime->GetV3(),npoints*sizeof(Double_t));
31
32 Double_t rms=0.006, corr;
33 covXk(0,0)=0.01; covXk(1,1)=0.1; covXk(2,2)=0.1; covXk(1,0)=0; covXk(0,1)=0;
34 vecXk(0,0)=0; vecXk(1,0)=1; vecXk(2,0)=0; //initial stat
35
36 recVDriftSort(npoints,timeV,vdriftV,cPTV,rms,10/(250*24*60*60.),kFALSE);
37 recVDriftSort(npoints,timeV,vdriftV,cPTV,rms,10/(250*24*60*60.),kTRUE);
38 TFile f("realvdrift.root");
39 drift->Draw("vecXk.fElements[1]:time","isOK","")
40
41
42 //
43 // Real data test usage
44 //
45
46 AliXRDPROOFtoolkit tool;
47 TChain * chainTime = tool.MakeChain("time.txt","timeInfo",0,10200);
48 chainTime->Lookup();
49 //
50
51 Double_t rms, corr;
52 chainTime->SetAlias("atpcorP","press0/(3.329*(temp0+273.15))-1");
53 chainTime->SetAlias("mcutP","press0>0");
54 chainTime->SetAlias("ncutP","press0<1");
55 chainTime->SetAlias("atpcorG","temp1.fElements[14]/(0.003378*(temp0+273.15))-1");
56 chainTime->SetAlias("mcutG","temp1.fElements[14]>0");
57
58 chainTime->SetAlias("atpcor","(mcutP*atpcorP+(ncutP)*atpcorG)");
59 chainTime->SetAlias("mcut","temp1.fElements[14]>0");
60 chainTime->SetAlias("dvdrift","(fDz/500)");
61
62 fitLinear(chainTime, rms,corr);
63
64
65 Int_t npoints= chainTime->Draw("time:(dvdrift)-trCorr:(atpcor)","mcut&&abs(fDz-500*driftG)<1");
66 Double_t *timeV = new Double_t[npoints];
67 Double_t *vdriftV = new Double_t[npoints];
68 Double_t *cPTV = new Double_t[npoints];
69 memcpy(timeV,chainTime->GetV1(),npoints*sizeof(Double_t));
70 memcpy(vdriftV,chainTime->GetV2(),npoints*sizeof(Double_t));
71 memcpy(cPTV,chainTime->GetV3(),npoints*sizeof(Double_t));
72
73
74 kalmanTime.Init(0,0,-1,0.01,0.01);
75
76 recVDriftSort(npoints,timeV,vdriftV,cPTV,rms,1/(250*24*60*60.),kFALSE);
77 recVDriftSort(npoints,timeV,vdriftV,cPTV,rms,1/(250*24*60*60.),kTRUE);
78
79 TFile f("realvdrift.root");
80 drift->Draw("k.fState.fElements[0]:time","isOK","");
81*/
82
83#include "TMatrixD.h"
84#include "TRandom.h"
85#include "TTreeStream.h"
86#include "TMath.h"
87#include "TString.h"
88#include "TChain.h"
89#include "TStatToolkit.h"
90#include "AliTPCkalmanTime.h"
91
92
93Double_t cshift = 0;
94Double_t cPT = 0;
95Double_t floatS = 0.00005; //
96Double_t floatTP = 0.0005; //
97Double_t noiseV = 0.3/250.; // cosmic drift precission
98Double_t vdrift = 0;
99
100AliTPCkalmanTime kalmanTime;
101
102
103void recVDrift(Int_t npoints, Double_t *timeV, Double_t *vdriftV, Double_t * cPTV, Double_t noise, Double_t sshift){
104 //
105 // chainTime->Draw("time:(dvdrift):(atpcor)","mcut&&abs(((dvdrift))-(atpcor))<0.004");
106 //
107 TTreeSRedirector *pcstream = new TTreeSRedirector("realvdrift.root");
108 //
109 Int_t nused=0;
110 for (Int_t ipoint=0; ipoint<npoints;ipoint++){
111 //
112 if (ipoint==0) kalmanTime.fTime=timeV[ipoint];
113 TMatrixD &vecXk = *(kalmanTime.fState);
114 TMatrixD &covXk = *(kalmanTime.fCovariance);
115 Double_t fdrift = vecXk(0,0)+ cPTV[ipoint]*vecXk(1,0);
116 Double_t ddrift = fdrift-vdriftV[ipoint];
117 Double_t sdrift = TMath::Sqrt(covXk(0,0)+noise*noise);
118 Bool_t isOK = nused<10||TMath::Abs(ddrift)<5*sdrift;
119 kalmanTime.Propagate(timeV[ipoint],sshift);
120 kalmanTime.Update(vdriftV[ipoint],noise,cPTV[ipoint],pcstream);
121 nused++;
122 (*pcstream)<<"drift"<<
123 "ipoint="<<ipoint<<
124 "time="<<timeV[ipoint]<<
125 "isOK="<<isOK<<
126 "noise="<<noise<<
127 "cPT="<<cPTV[ipoint]<<
128 "vdrift="<<vdriftV[ipoint]<<
129 "fdrift="<<fdrift<<
130 "k.="<<&kalmanTime<<
131 "\n";
132 }
133 delete pcstream;
134}
135
136
137void recVDriftSort(Int_t npoints, Double_t *timeV, Double_t *vdriftV, Double_t * cPTV, Double_t noise, Double_t sshift, Bool_t sort){
138 //
139 // sort entries before fit
140 //
141 Int_t *index = new Int_t[npoints];
142 Double_t *tmpsort = new Double_t[npoints];
143 TMath::Sort(npoints, timeV, index,sort);
144 //
145 for (Int_t i=0; i<npoints;i++){
146 tmpsort[i]= timeV[index[i]];
147 }
148 for (Int_t i=0; i<npoints;i++){
149 timeV[i] =tmpsort[i];
150 }
151 //
152 for (Int_t i=0; i<npoints;i++){
153 tmpsort[i]= vdriftV[index[i]];
154 }
155 for (Int_t i=0; i<npoints;i++){
156 vdriftV[i] =tmpsort[i];
157 }
158 //
159 for (Int_t i=0; i<npoints;i++){
160 tmpsort[i]= cPTV[index[i]];
161 }
162 for (Int_t i=0; i<npoints;i++){
163 cPTV[i] =tmpsort[i];
164 }
165 delete [] index;
166 delete [] tmpsort;
167 recVDrift(npoints,timeV,vdriftV,cPTV,noise,sshift);
168}
169
170
171void fitLinear(TChain * chainTime, Double_t& rms, Double_t & corr){
172 //
173 // Fit globaly - make aliases;
174 //
175 TStatToolkit toolkit;
176 Double_t chi2=0;
177 Int_t npoints=0;
178 TVectorD fitParam;
179 TMatrixD covMatrix;
180 TString fitStr="";
181 fitStr+="(atpcor)++";
182 fitStr+="(trigger==1)++";
183 fitStr+="(trigger==2)++";
184 fitStr+="(trigger==4)++";
185 fitStr+="(trigger==8)++";
186
187 TString *strvdpt1 = 0;
188 strvdpt1 = toolkit.FitPlane(chainTime,"(dvdrift)",fitStr.Data(),"mcut" , chi2,npoints,fitParam,covMatrix);
189 chainTime->SetAlias("driftG",strvdpt1->Data());
190
191 strvdpt1 =toolkit.FitPlane(chainTime,"(dvdrift)",fitStr.Data(),"mcut&&abs(fDz-500*driftG)<2" , chi2,npoints,fitParam,covMatrix);
192 chainTime->SetAlias("driftG",strvdpt1->Data());
193
194
195 rms = TMath::Sqrt(chi2/npoints);
196 corr = fitParam[1]; // cPT parameter
197 //
198 //
199 fitStr="";
200 fitStr+="(trigger==1)++";
201 fitStr+="(trigger==2)++";
202 fitStr+="(trigger==4)++";
203 fitStr+="(trigger==8)++";
204 TString fitExpr = "(dvdrift)-";
205 fitExpr+=fitParam[1];
206 fitExpr+="* (atpcor)";
207 TString *strCorr = toolkit.FitPlane(chainTime,fitExpr.Data(),fitStr.Data(),"abs(fDz-500*driftG)<1" , chi2,npoints,fitParam,covMatrix);
208 chainTime->SetAlias("trCorr",strCorr->Data());
209
210
211 fitStr="";
212 fitStr+="(atpcor)++";
213 fitStr+="(atpcor)^2++";
214 fitStr+="(trigger==1)++";
215 fitStr+="(trigger==2)++";
216 fitStr+="(trigger==4)++";
217 fitStr+="(trigger==8)++";
218 TString *strvdpt2 = 0;
219 strvdpt2 =toolkit.FitPlane(chainTime,"(dvdrift)",fitStr.Data(),"mcut&&abs(fDz-500*driftG)<2" , chi2,npoints,fitParam,covMatrix);
220 chainTime->SetAlias("driftG2",strvdpt2->Data());
221
222
223}