[u/mrichter/AliRoot.git] / TPC / Upgrade / macros / AnaDelta.C

#include <TStyle.h>
#include <TROOT.h>
#include <TAxis.h>
#include <TF1.h>
#include <TFile.h>
#include <TH1.h>
#include <THn.h>
#include <TObjArray.h>
#include <TObject.h>
#include <TString.h>
#include <TVectorT.h>
#include <TCanvas.h>
#include <TProfile2D.h>
#include <TTreeStream.h>

/*

.L $ALICE_ROOT/TPC/Upgrade/macros/AnaDelta.C+g


*/
TVectorD* MakeLogBinning(Int_t nbinsX, Double_t xmin, Double_t xmax);
TVectorD* MakeLinBinning(Int_t nbinsX, Double_t xmin, Double_t xmax);
TVectorD* MakeArbitraryBinning(const char* bins);

void DumpHn(THn *hn, TTreeSRedirector &stream);

void AnaDelta(TString file, TString outDir=".")
{
  //
  //
  //

  gStyle->SetOptFit();
  
  TTreeSRedirector stream(Form("%s/deltas.root",outDir.Data()));
  gROOT->cd();
  
  TFile f(file);
  THn *hn=(THn*)f.Get("hn");

  DumpHn(hn, stream);

  delete hn;
}


void AnaDeltaTree(TString file, TString outFile="deltas_tree.root")
{
  TFile f(file);
  gROOT->cd();
  TTree *t = (TTree*)f.Get("delta");
  Float_t soneOverPt=0.;
  Float_t radius=0.;
  Float_t trackPhi=0.;
  Float_t trackY=0.;
  Float_t trackZ=0.;
  Float_t resRphi=0.;
  Double_t trackRes=0.;
  Float_t pointY=0.;
  Float_t pointZ=0.;
  Short_t npTRD=0.;
  Short_t event=0.;
  
  t->SetBranchAddress("soneOverPt" , &soneOverPt);
  t->SetBranchAddress("r"          , &radius);
  t->SetBranchAddress("trackPhi"   , &trackPhi);
  t->SetBranchAddress("trackY"     , &trackY);
  t->SetBranchAddress("trackZ"     , &trackZ);
  t->SetBranchAddress("resRphi"    , &resRphi);
  t->SetBranchAddress("trackRes"   , &trackRes);
  t->SetBranchAddress("pointY"     , &pointY);
  t->SetBranchAddress("pointZ"     , &pointZ);
  t->SetBranchAddress("npTRD"      , &npTRD);
  t->SetBranchAddress("event"      , &event);
  
  // make binning
  TVectorD *vR   = MakeLinBinning(10,86.,250.);
  TVectorD *vPhi = MakeLinBinning(18*8,0.,2*TMath::Pi());
  TVectorD *vZ   = MakeLinBinning(50,-250.,250.);

  const Int_t nbins=4;
  Int_t bins[nbins]    = {vR->GetNrows()-1, vPhi->GetNrows()-1, vZ->GetNrows()-1, 80};
//   Int_t bins[nbins]    = {16, 18*5, 50, 80};
  Double_t xmin[nbins] = {86. , 0.,           -250., -2.};
  Double_t xmax[nbins] = {250., 2*TMath::Pi(), 250.,  2.};
  THnF *hn = new THnF("hn", "hn", nbins, bins, xmin, xmax);

  hn->GetAxis(0)->Set(vR  ->GetNrows()-1, vR  ->GetMatrixArray());
  hn->GetAxis(1)->Set(vPhi->GetNrows()-1, vPhi->GetMatrixArray());
  hn->GetAxis(2)->Set(vZ  ->GetNrows()-1, vZ  ->GetMatrixArray());
  
  
  for (Int_t iev=0; iev<t->GetEntries(); ++iev) {
    t->GetEntry(iev);
    
    // cuts
    // -- on trd
    if (npTRD<2) continue;
    Double_t pt=1./TMath::Abs(soneOverPt);
    if (pt<0.8) continue;
    
    Float_t resRphiRandom = resRphi*trackRes;
    Float_t deviation     = trackY+resRphiRandom-pointY;
    
    Double_t xx[4]={radius, trackPhi, trackZ ,deviation};
    hn->Fill(xx);
  }
  
  // do fits and fill tree
  TTreeSRedirector stream(outFile.Data());
  gROOT->cd();

  DumpHn(hn, stream);

  stream.GetFile()->cd();
  hn->Write();
  
  delete hn;
  delete vR;
  delete vPhi;
  delete vZ;
}


void AnaDeltaTree2(TString file, TString outDir=".")
{
  //
  // NOTE: not finished
  //
  TFile f(file);
  gROOT->cd();
  TTree *t = (TTree*)f.Get("delta");
  Float_t soneOverPt=0.;
  Float_t radius=0.;
  Float_t trackPhi=0.;
  Float_t trackY=0.;
  Float_t trackZ=0.;
  Float_t resRphi=0.;
  Float_t trackRes=0.;
  Float_t pointY=0.;
  Float_t pointZ=0.;
  Float_t npTRD=0.;
  Float_t event=0.;
  
  t->SetBranchAddress("soneOverPt" , &soneOverPt);
  t->SetBranchAddress("r"          , &radius);
  t->SetBranchAddress("trackPhi"   , &trackPhi);
  t->SetBranchAddress("trackY"     , &trackY);
  t->SetBranchAddress("trackZ"     , &trackZ);
  t->SetBranchAddress("resRphi"    , &resRphi);
  t->SetBranchAddress("trackRes"   , &trackRes);
  t->SetBranchAddress("pointY"     , &pointY);
  t->SetBranchAddress("pointZ"     , &pointZ);
  t->SetBranchAddress("npTRD"      , &npTRD);
  t->SetBranchAddress("event"      , &event);

  // make binning
  TVectorD *vZ   = MakeLinBinning(50,-250.,250.);
  TVectorD *vPhi = MakeLinBinning(18*8,0.,TMath::Pi());
  TVectorD *vR   = MakeLinBinning(16,86.,250.);

  TObjArray arrZ(vZ->GetNrows()-1);
  arrZ.SetOwner();
  
  for (Int_t iev=0; iev<t->GetEntries(); ++iev) {
    t->GetEntry(iev);
    
    // cuts
    // -- on trd
    if (npTRD<2) continue;

    Float_t resRphiRandom=resRphi*trackRes;

    Int_t binZ   = TMath::BinarySearch(vZ->GetNrows(),vZ->GetMatrixArray(),(Double_t)trackZ);
    Int_t binPhi = TMath::BinarySearch(vPhi->GetNrows(),vPhi->GetMatrixArray(),(Double_t)trackPhi);
    Int_t binR   = TMath::BinarySearch(vR->GetNrows(),vR->GetMatrixArray(),(Double_t)radius);

    if (binZ<0)   binZ=0;
    if (binPhi<0) binPhi=0;
    if (binR<0)   binR=0;

    TObjArray *arrPhi=(TObjArray*)arrZ.UncheckedAt(binZ);
    if (!arrPhi) {
      arrPhi=new TObjArray(vPhi->GetNrows()-1);
      arrZ.AddAt(arrPhi,binZ);
    }

    TObjArray *arrR=(TObjArray*)arrPhi->UncheckedAt(binPhi);
    if (!arrR) {
      arrR=new TObjArray(vR->GetNrows()-1);
      arrPhi->AddAt(arrR,binPhi);
    }

    TH1S *h = (TH1S*)arrR->UncheckedAt(binR);
    if (!h) {
      h = new TH1S(Form("h_%02d_%02d_%d02",binZ, binPhi, binR),
                   Form("z,phi,r: %02d,%02d,%d02; #Delta r#phi (cm)",binZ, binPhi, binR),
                   80, -2., 2.);
      arrR->AddAt(h, binR);
    }

    h->Fill(trackY+resRphiRandom-pointY);
  }

  // do fits and fill tree
}


void DumpHn(THn *hn, TTreeSRedirector &stream)
{
  TAxis *ar   = hn->GetAxis(0);
  TAxis *aphi = hn->GetAxis(1);
  TAxis *az   = hn->GetAxis(2);
  
  
  for (Int_t iz=0; iz<az->GetNbins(); ++iz) {
    az->SetRange(iz+1,iz+1);
    TObjArray arrFits;
    arrFits.SetName(Form("z_%02d",iz));
    arrFits.SetOwner();
    
    for (Int_t ir=0; ir<ar->GetNbins(); ++ir) {
      ar->SetRange(ir+1,ir+1);
      for (Int_t iphi=0; iphi<aphi->GetNbins(); ++iphi) {
        aphi->SetRange(iphi+1,iphi+1);
        
        TH1 *hProj = hn->Projection(3);
        if (hProj->GetEntries()<1) {
          delete hProj;
          continue;
        }
        
        TF1 fg("fg","gaus",-2,2);
        Double_t cr   = ar->GetBinCenter(ir+1);
        Double_t cphi = aphi->GetBinCenter(iphi+1);
        Double_t cz   = az->GetBinCenter(iz+1);
        hProj->SetNameTitle(Form("h_%02d_%02d_%d02",iz+1, iphi+1, ir+1),
                            Form("z,phi,r: %02d,%02d,%d02 (%.2f, %.2f, %.2f)",iz+1,iphi+1,ir+1, cr, cphi, cz )
        );
        hProj->Fit(&fg,"QR");
        arrFits.Add(hProj);

        Double_t mean     = fg.GetParameter(1);
        Double_t meanErr  = fg.GetParError(1);
        Double_t sigma    = fg.GetParameter(2);
        Double_t sigmaErr = fg.GetParError(2);
        Int_t    entries  = hProj->GetEntries();
        Double_t chi2ndf  = fg.GetChisquare()/fg.GetNDF();

        stream << "d" <<
        "ir="        << ir       <<
        "iphi="      << iphi     <<
        "iz="        << iz       <<
        "cr="        << cr       <<
        "cphi="      << cphi     <<
        "cz="        << cz       <<
        "mean="      << mean     <<
        "meanErr="   << meanErr  <<
        "sigma="     << sigma    <<
        "sigmaErr="  << sigmaErr <<
        "entries="   << entries  <<
        "chi2ndf="   << chi2ndf  <<
        "\n";
      }
    }
    stream.GetFile()->cd();
    arrFits.Write(0x0,TObject::kSingleKey);
    gROOT->cd();
  }
  
}

//______________________________________________________________________________
TVectorD* MakeLogBinning(Int_t nbinsX, Double_t xmin, Double_t xmax)
{
  //
  // Make logarithmic binning
  // the user has to delete the array afterwards!!!
  //
  
  //check limits
  if (xmin<1e-20 || xmax<1e-20){
    printf("For Log binning xmin and xmax must be > 1e-20. Using linear binning instead!");
    return MakeLinBinning(nbinsX, xmin, xmax);
  }
  if (xmax<xmin){
    Double_t tmp=xmin;
    xmin=xmax;
    xmax=tmp;
  }
  TVectorD *binLim=new TVectorD(nbinsX+1);
  Double_t first=xmin;
  Double_t last=xmax;
  Double_t expMax=TMath::Log(last/first);
  for (Int_t i=0; i<nbinsX+1; ++i){
    (*binLim)[i]=first*TMath::Exp(expMax/nbinsX*(Double_t)i);
  }
  return binLim;
}

//______________________________________________________________________________
TVectorD* MakeLinBinning(Int_t nbinsX, Double_t xmin, Double_t xmax)
{
  //
  // Make linear binning
  // the user has to delete the array afterwards!!!
  //
  if (xmax<xmin){
    Double_t tmp=xmin;
    xmin=xmax;
    xmax=tmp;
  }
  TVectorD *binLim=new TVectorD(nbinsX+1);
  Double_t first=xmin;
  Double_t last=xmax;
  Double_t binWidth=(last-first)/nbinsX;
  for (Int_t i=0; i<nbinsX+1; ++i){
    (*binLim)[i]=first+binWidth*(Double_t)i;
  }
  return binLim;
}

//_____________________________________________________________________________
TVectorD* MakeArbitraryBinning(const char* bins)
{
  //
  // Make arbitrary binning, bins separated by a ','
  //
  TString limits(bins);
  if (limits.IsNull()){
    printf("Bin Limit string is empty, cannot add the variable");
    return 0x0;
  }
  
  TObjArray *arr=limits.Tokenize(",");
  Int_t nLimits=arr->GetEntries();
  if (nLimits<2){
    printf("Need at leas 2 bin limits, cannot add the variable");
    delete arr;
    return 0x0;
  }
  
  TVectorD *binLimits=new TVectorD(nLimits);
  for (Int_t iLim=0; iLim<nLimits; ++iLim){
    (*binLimits)[iLim]=(static_cast<TObjString*>(arr->At(iLim)))->GetString().Atof();
  }
  
  delete arr;
  return binLimits;
}

void PlotFromTree(TTree *d, TString outDir=".")
{
  TCanvas *c=new TCanvas;
  gStyle->SetOptStat(0);
  d->SetMarkerStyle(20);
  d->SetMarkerSize(1);
  
  TProfile2D pRZ("pRZ",";z (cm); r(cm)",50,-250,250,10,85,250);
  d->Draw("entries:cr:cz>>pRZ","","profcolz");
  pRZ.GetZaxis()->UnZoom();
  c->SaveAs(Form("%s/entries_average.png",outDir.Data()));
  d->Draw("entries:cr:cz>>pRZ","iphi==2","profcolz");
  c->SaveAs(Form("%s/entries_onePhi.png",outDir.Data()));
  
  pRZ.SetMaximum(0.04);
  d->Draw("meanErr:cr:cz>>pRZ","","profcolz");
  c->SaveAs(Form("%s/meanErr_average.png",outDir.Data()));
  d->Draw("meanErr:cr:cz>>pRZ","iphi==2","profcolz");
  c->SaveAs(Form("%s/meanErr_onePhi.png",outDir.Data()));
  
  
  d->Draw("mean:cphi:cr","iz==25","colz");
  c->SaveAs(Form("%s/mean_oneZ_phi_allR.png",outDir.Data()));
  d->Draw("mean:meanErr:cphi","iz==25&&ir==2","goff");
  TGraphErrors grmean_phi(d->GetSelectedRows(),d->GetV3(),d->GetV1(),0,d->GetV2());
  grmean_phi->SetTitle(";#varphi;#LT#Delta r#varphi#GT");
  grmean_phi->SetMarkerStyle(20);
  grmean_phi->SetMarkerSize(1);
  grmean_phi->Draw("ap");
  c->SaveAs(Form("%s/mean_oneZ_phi_oneR.png",outDir.Data()));
  
  d->Draw("mean:cr:cphi","iz==25","colz");
  c->SaveAs(Form("%s/mean_oneZ_r_allPhi.png",outDir.Data()));
  
  d->Draw("mean:meanErr:cr","iz==25&&iphi==2","goff");
  TGraphErrors grmean_r(d->GetSelectedRows(),d->GetV3(),d->GetV1(),0,d->GetV2());
  grmean_r->SetTitle(";r (cm);#LT#Delta r#varphi#GT");
  grmean_r->SetMarkerStyle(20);
  grmean_r->SetMarkerSize(1);
  grmean_r->Draw("ap");
  c->SaveAs(Form("%s/mean_oneZ_r_onePhi.png",outDir.Data()));
  
  
  d->Draw("meanErr:cphi:cr","iz==25","colz");
  c->SaveAs(Form("%s/meanErr_oneZ_phi_allR.png",outDir.Data()));
  d->Draw("meanErr:cphi","iz==25&&ir==2");
  c->SaveAs(Form("%s/meanErr_oneZ_phi_oneR.png",outDir.Data()));
  
  d->Draw("meanErr:cr:cphi","iz==25","colz");
  c->SaveAs(Form("%s/meanErr_oneZ_r_allPhi.png",outDir.Data()));
  
  d->Draw("meanErr:cr","iz==25&&iphi==2");
  c->SaveAs(Form("%s/meanErr_oneZ_r_onePhi.png",outDir.Data()));
  
}
Commit	Line	Data
1a18cb2b	1	#include <TStyle.h>
	2	#include <TROOT.h>
	3	#include <TAxis.h>
	4	#include <TF1.h>
	5	#include <TFile.h>
	6	#include <TH1.h>
	7	#include <THn.h>
	8	#include <TObjArray.h>
	9	#include <TObject.h>
	10	#include <TString.h>
03de6136	11	#include <TVectorT.h>
	12	#include <TCanvas.h>
	13	#include <TProfile2D.h>
1a18cb2b	14	#include <TTreeStream.h>
	15
	16	/*
	17
	18	.L $ALICE_ROOT/TPC/Upgrade/macros/AnaDelta.C+g
	19
	20
	21	*/
03de6136	22	TVectorD* MakeLogBinning(Int_t nbinsX, Double_t xmin, Double_t xmax);
	23	TVectorD* MakeLinBinning(Int_t nbinsX, Double_t xmin, Double_t xmax);
	24	TVectorD* MakeArbitraryBinning(const char* bins);
	25
	26	void DumpHn(THn *hn, TTreeSRedirector &stream);
1a18cb2b	27
	28	void AnaDelta(TString file, TString outDir=".")
	29	{
	30	//
	31	//
	32	//
	33
	34	gStyle->SetOptFit();
	35
	36	TTreeSRedirector stream(Form("%s/deltas.root",outDir.Data()));
	37	gROOT->cd();
	38
	39	TFile f(file);
	40	THn hn=(THn)f.Get("hn");
	41
03de6136	42	DumpHn(hn, stream);
	43
	44	delete hn;
	45	}
	46
	47
	48	void AnaDeltaTree(TString file, TString outFile="deltas_tree.root")
	49	{
	50	TFile f(file);
	51	gROOT->cd();
	52	TTree t = (TTree)f.Get("delta");
	53	Float_t soneOverPt=0.;
	54	Float_t radius=0.;
	55	Float_t trackPhi=0.;
	56	Float_t trackY=0.;
	57	Float_t trackZ=0.;
	58	Float_t resRphi=0.;
	59	Double_t trackRes=0.;
	60	Float_t pointY=0.;
	61	Float_t pointZ=0.;
	62	Short_t npTRD=0.;
	63	Short_t event=0.;
	64
	65	t->SetBranchAddress("soneOverPt" , &soneOverPt);
	66	t->SetBranchAddress("r" , &radius);
	67	t->SetBranchAddress("trackPhi" , &trackPhi);
	68	t->SetBranchAddress("trackY" , &trackY);
	69	t->SetBranchAddress("trackZ" , &trackZ);
	70	t->SetBranchAddress("resRphi" , &resRphi);
	71	t->SetBranchAddress("trackRes" , &trackRes);
	72	t->SetBranchAddress("pointY" , &pointY);
	73	t->SetBranchAddress("pointZ" , &pointZ);
	74	t->SetBranchAddress("npTRD" , &npTRD);
	75	t->SetBranchAddress("event" , &event);
	76
	77	// make binning
	78	TVectorD *vR = MakeLinBinning(10,86.,250.);
	79	TVectorD vPhi = MakeLinBinning(188,0.,2*TMath::Pi());
	80	TVectorD *vZ = MakeLinBinning(50,-250.,250.);
	81
	82	const Int_t nbins=4;
	83	Int_t bins[nbins] = {vR->GetNrows()-1, vPhi->GetNrows()-1, vZ->GetNrows()-1, 80};
	84	// Int_t bins[nbins] = {16, 18*5, 50, 80};
	85	Double_t xmin[nbins] = {86. , 0., -250., -2.};
	86	Double_t xmax[nbins] = {250., 2*TMath::Pi(), 250., 2.};
	87	THnF *hn = new THnF("hn", "hn", nbins, bins, xmin, xmax);
	88
	89	hn->GetAxis(0)->Set(vR ->GetNrows()-1, vR ->GetMatrixArray());
	90	hn->GetAxis(1)->Set(vPhi->GetNrows()-1, vPhi->GetMatrixArray());
	91	hn->GetAxis(2)->Set(vZ ->GetNrows()-1, vZ ->GetMatrixArray());
	92
	93
	94	for (Int_t iev=0; iev<t->GetEntries(); ++iev) {
	95	t->GetEntry(iev);
	96
	97	// cuts
	98	// -- on trd
	99	if (npTRD<2) continue;
	100	Double_t pt=1./TMath::Abs(soneOverPt);
	101	if (pt<0.8) continue;
	102
	103	Float_t resRphiRandom = resRphi*trackRes;
	104	Float_t deviation = trackY+resRphiRandom-pointY;
	105
106	Double_t xx[4]={radius, trackPhi, trackZ ,deviation};
107	hn->Fill(xx);
108	}
109
110	// do fits and fill tree
111	TTreeSRedirector stream(outFile.Data());
112	gROOT->cd();
113
114	DumpHn(hn, stream);
115
116	stream.GetFile()->cd();
117	hn->Write();
118
119	delete hn;
120	delete vR;
121	delete vPhi;
122	delete vZ;
123	}
124
125
126	void AnaDeltaTree2(TString file, TString outDir=".")
127	{
128	//
129	// NOTE: not finished
130	//
131	TFile f(file);
132	gROOT->cd();
133	TTree t = (TTree)f.Get("delta");
134	Float_t soneOverPt=0.;
135	Float_t radius=0.;
136	Float_t trackPhi=0.;
137	Float_t trackY=0.;
138	Float_t trackZ=0.;
139	Float_t resRphi=0.;
140	Float_t trackRes=0.;
141	Float_t pointY=0.;
142	Float_t pointZ=0.;
143	Float_t npTRD=0.;
144	Float_t event=0.;
145
146	t->SetBranchAddress("soneOverPt" , &soneOverPt);
147	t->SetBranchAddress("r" , &radius);
148	t->SetBranchAddress("trackPhi" , &trackPhi);
149	t->SetBranchAddress("trackY" , &trackY);
150	t->SetBranchAddress("trackZ" , &trackZ);
151	t->SetBranchAddress("resRphi" , &resRphi);
152	t->SetBranchAddress("trackRes" , &trackRes);
153	t->SetBranchAddress("pointY" , &pointY);
154	t->SetBranchAddress("pointZ" , &pointZ);
155	t->SetBranchAddress("npTRD" , &npTRD);
156	t->SetBranchAddress("event" , &event);
157
158	// make binning
159	TVectorD *vZ = MakeLinBinning(50,-250.,250.);
160	TVectorD vPhi = MakeLinBinning(188,0.,TMath::Pi());
161	TVectorD *vR = MakeLinBinning(16,86.,250.);
162
163	TObjArray arrZ(vZ->GetNrows()-1);
164	arrZ.SetOwner();
165
166	for (Int_t iev=0; iev<t->GetEntries(); ++iev) {
167	t->GetEntry(iev);
168
169	// cuts
170	// -- on trd
171	if (npTRD<2) continue;
172
173	Float_t resRphiRandom=resRphi*trackRes;
174
175	Int_t binZ = TMath::BinarySearch(vZ->GetNrows(),vZ->GetMatrixArray(),(Double_t)trackZ);
176	Int_t binPhi = TMath::BinarySearch(vPhi->GetNrows(),vPhi->GetMatrixArray(),(Double_t)trackPhi);
177	Int_t binR = TMath::BinarySearch(vR->GetNrows(),vR->GetMatrixArray(),(Double_t)radius);
178
179	if (binZ<0) binZ=0;
180	if (binPhi<0) binPhi=0;
181	if (binR<0) binR=0;
182
183	TObjArray arrPhi=(TObjArray)arrZ.UncheckedAt(binZ);
184	if (!arrPhi) {
185	arrPhi=new TObjArray(vPhi->GetNrows()-1);
186	arrZ.AddAt(arrPhi,binZ);
187	}
188
189	TObjArray arrR=(TObjArray)arrPhi->UncheckedAt(binPhi);
190	if (!arrR) {
191	arrR=new TObjArray(vR->GetNrows()-1);
192	arrPhi->AddAt(arrR,binPhi);
193	}
194
195	TH1S h = (TH1S)arrR->UncheckedAt(binR);
196	if (!h) {
197	h = new TH1S(Form("h_%02d_%02d_%d02",binZ, binPhi, binR),
198	Form("z,phi,r: %02d,%02d,%d02; #Delta r#phi (cm)",binZ, binPhi, binR),
199	80, -2., 2.);
200	arrR->AddAt(h, binR);
201	}
202
203	h->Fill(trackY+resRphiRandom-pointY);
204	}
205
206	// do fits and fill tree
207	}
208
209
210	void DumpHn(THn *hn, TTreeSRedirector &stream)
211	{
1a18cb2b	212	TAxis *ar = hn->GetAxis(0);
	213	TAxis *aphi = hn->GetAxis(1);
	214	TAxis *az = hn->GetAxis(2);
03de6136	215
1a18cb2b	216
	217	for (Int_t iz=0; iz<az->GetNbins(); ++iz) {
	218	az->SetRange(iz+1,iz+1);
	219	TObjArray arrFits;
	220	arrFits.SetName(Form("z_%02d",iz));
	221	arrFits.SetOwner();
	222
	223	for (Int_t ir=0; ir<ar->GetNbins(); ++ir) {
	224	ar->SetRange(ir+1,ir+1);
	225	for (Int_t iphi=0; iphi<aphi->GetNbins(); ++iphi) {
	226	aphi->SetRange(iphi+1,iphi+1);
03de6136	227
1a18cb2b	228	TH1 *hProj = hn->Projection(3);
	229	if (hProj->GetEntries()<1) {
	230	delete hProj;
	231	continue;
	232	}
03de6136	233
1a18cb2b	234	TF1 fg("fg","gaus",-2,2);
	235	Double_t cr = ar->GetBinCenter(ir+1);
	236	Double_t cphi = aphi->GetBinCenter(iphi+1);
	237	Double_t cz = az->GetBinCenter(iz+1);
	238	hProj->SetNameTitle(Form("h_%02d_%02d_%d02",iz+1, iphi+1, ir+1),
03de6136	239	Form("z,phi,r: %02d,%02d,%d02 (%.2f, %.2f, %.2f)",iz+1,iphi+1,ir+1, cr, cphi, cz )
03de6136	240	);
1a18cb2b	241	hProj->Fit(&fg,"QR");
	242	arrFits.Add(hProj);
	243
	244	Double_t mean = fg.GetParameter(1);
	245	Double_t meanErr = fg.GetParError(1);
	246	Double_t sigma = fg.GetParameter(2);
	247	Double_t sigmaErr = fg.GetParError(2);
	248	Int_t entries = hProj->GetEntries();
	249	Double_t chi2ndf = fg.GetChisquare()/fg.GetNDF();
03de6136	250
1a18cb2b	251	stream << "d" <<
	252	"ir=" << ir <<
	253	"iphi=" << iphi <<
	254	"iz=" << iz <<
	255	"cr=" << cr <<
	256	"cphi=" << cphi <<
	257	"cz=" << cz <<
	258	"mean=" << mean <<
	259	"meanErr=" << meanErr <<
	260	"sigma=" << sigma <<
	261	"sigmaErr=" << sigmaErr <<
	262	"entries=" << entries <<
	263	"chi2ndf=" << chi2ndf <<
	264	"\n";
	265	}
	266	}
	267	stream.GetFile()->cd();
	268	arrFits.Write(0x0,TObject::kSingleKey);
	269	gROOT->cd();
	270	}
03de6136	271
03de6136	272	}
1a18cb2b	273
03de6136	274	//______________________________________________________________________________
	275	TVectorD* MakeLogBinning(Int_t nbinsX, Double_t xmin, Double_t xmax)
	276	{
	277	//
	278	// Make logarithmic binning
	279	// the user has to delete the array afterwards!!!
	280	//
	281
	282	//check limits
	283	if (xmin<1e-20 \|\| xmax<1e-20){
	284	printf("For Log binning xmin and xmax must be > 1e-20. Using linear binning instead!");
	285	return MakeLinBinning(nbinsX, xmin, xmax);
	286	}
	287	if (xmax<xmin){
	288	Double_t tmp=xmin;
	289	xmin=xmax;
	290	xmax=tmp;
	291	}
	292	TVectorD *binLim=new TVectorD(nbinsX+1);
	293	Double_t first=xmin;
	294	Double_t last=xmax;
	295	Double_t expMax=TMath::Log(last/first);
	296	for (Int_t i=0; i<nbinsX+1; ++i){
	297	(binLim)[i]=firstTMath::Exp(expMax/nbinsX*(Double_t)i);
	298	}
	299	return binLim;
	300	}
	301
	302	//______________________________________________________________________________
	303	TVectorD* MakeLinBinning(Int_t nbinsX, Double_t xmin, Double_t xmax)
	304	{
	305	//
	306	// Make linear binning
	307	// the user has to delete the array afterwards!!!
	308	//
	309	if (xmax<xmin){
	310	Double_t tmp=xmin;
	311	xmin=xmax;
	312	xmax=tmp;
	313	}
	314	TVectorD *binLim=new TVectorD(nbinsX+1);
	315	Double_t first=xmin;
	316	Double_t last=xmax;
	317	Double_t binWidth=(last-first)/nbinsX;
	318	for (Int_t i=0; i<nbinsX+1; ++i){
	319	(binLim)[i]=first+binWidth(Double_t)i;
	320	}
	321	return binLim;
	322	}
	323
	324	//_____________________________________________________________________________
	325	TVectorD* MakeArbitraryBinning(const char* bins)
	326	{
	327	//
	328	// Make arbitrary binning, bins separated by a ','
	329	//
	330	TString limits(bins);
	331	if (limits.IsNull()){
	332	printf("Bin Limit string is empty, cannot add the variable");
	333	return 0x0;
	334	}
	335
	336	TObjArray *arr=limits.Tokenize(",");
	337	Int_t nLimits=arr->GetEntries();
338	if (nLimits<2){
339	printf("Need at leas 2 bin limits, cannot add the variable");
340	delete arr;
341	return 0x0;
342	}
343
344	TVectorD *binLimits=new TVectorD(nLimits);
345	for (Int_t iLim=0; iLim<nLimits; ++iLim){
346	(binLimits)[iLim]=(static_cast<TObjString>(arr->At(iLim)))->GetString().Atof();
347	}
348
349	delete arr;
350	return binLimits;
1a18cb2b	351	}
1a18cb2b	352
03de6136	353	void PlotFromTree(TTree *d, TString outDir=".")
	354	{
	355	TCanvas *c=new TCanvas;
	356	gStyle->SetOptStat(0);
	357	d->SetMarkerStyle(20);
	358	d->SetMarkerSize(1);
	359
	360	TProfile2D pRZ("pRZ",";z (cm); r(cm)",50,-250,250,10,85,250);
	361	d->Draw("entries:cr:cz>>pRZ","","profcolz");
	362	pRZ.GetZaxis()->UnZoom();
	363	c->SaveAs(Form("%s/entries_average.png",outDir.Data()));
	364	d->Draw("entries:cr:cz>>pRZ","iphi==2","profcolz");
	365	c->SaveAs(Form("%s/entries_onePhi.png",outDir.Data()));
	366
	367	pRZ.SetMaximum(0.04);
	368	d->Draw("meanErr:cr:cz>>pRZ","","profcolz");
	369	c->SaveAs(Form("%s/meanErr_average.png",outDir.Data()));
	370	d->Draw("meanErr:cr:cz>>pRZ","iphi==2","profcolz");
	371	c->SaveAs(Form("%s/meanErr_onePhi.png",outDir.Data()));
	372
	373
	374	d->Draw("mean:cphi:cr","iz==25","colz");
	375	c->SaveAs(Form("%s/mean_oneZ_phi_allR.png",outDir.Data()));
	376	d->Draw("mean:meanErr:cphi","iz==25&&ir==2","goff");
	377	TGraphErrors grmean_phi(d->GetSelectedRows(),d->GetV3(),d->GetV1(),0,d->GetV2());
	378	grmean_phi->SetTitle(";#varphi;#LT#Delta r#varphi#GT");
	379	grmean_phi->SetMarkerStyle(20);
	380	grmean_phi->SetMarkerSize(1);
	381	grmean_phi->Draw("ap");
	382	c->SaveAs(Form("%s/mean_oneZ_phi_oneR.png",outDir.Data()));
	383
	384	d->Draw("mean:cr:cphi","iz==25","colz");
	385	c->SaveAs(Form("%s/mean_oneZ_r_allPhi.png",outDir.Data()));
	386
	387	d->Draw("mean:meanErr:cr","iz==25&&iphi==2","goff");
	388	TGraphErrors grmean_r(d->GetSelectedRows(),d->GetV3(),d->GetV1(),0,d->GetV2());
	389	grmean_r->SetTitle(";r (cm);#LT#Delta r#varphi#GT");
	390	grmean_r->SetMarkerStyle(20);
	391	grmean_r->SetMarkerSize(1);
	392	grmean_r->Draw("ap");
	393	c->SaveAs(Form("%s/mean_oneZ_r_onePhi.png",outDir.Data()));
	394
	395
	396	d->Draw("meanErr:cphi:cr","iz==25","colz");
	397	c->SaveAs(Form("%s/meanErr_oneZ_phi_allR.png",outDir.Data()));
	398	d->Draw("meanErr:cphi","iz==25&&ir==2");
	399	c->SaveAs(Form("%s/meanErr_oneZ_phi_oneR.png",outDir.Data()));
	400
	401	d->Draw("meanErr:cr:cphi","iz==25","colz");
	402	c->SaveAs(Form("%s/meanErr_oneZ_r_allPhi.png",outDir.Data()));
	403
	404	d->Draw("meanErr:cr","iz==25&&iphi==2");
	405	c->SaveAs(Form("%s/meanErr_oneZ_r_onePhi.png",outDir.Data()));
	406
	407	}