Esempio n. 1
0
void setGraphOptions(TGraph2D &g)
{
  g.SetTitle("");
  g.SetMarkerColor(1);
  g.SetMarkerStyle(24);
  g.SetMarkerSize(.5);
}
void view_SMEvents_3D_from_Hits() {
	/*** Displays an 3D occupancy plot for each SM Event. (stop mode event)

	Can choose which SM event to start at. (find "CHOOSE THIS" in this script)
	Input file must be a Hits file (_interpreted_Hits.root file).
	***/
	gROOT->Reset();

	// Setting up file, treereader, histogram
	TFile *f = new TFile("/home/pixel/pybar/tags/2.0.2_new/pyBAR-master/pybar/module_202_new/101_module_202_new_stop_mode_ext_trigger_scan_interpreted_Hits.root");


	if (!f) { // if we cannot open the file, print an error message and return immediately
		cout << "Error: cannot open the root file!\n";
		//return;
	}

	TTreeReader *reader = new TTreeReader("Table", f);

	TTreeReaderValue<UInt_t> h5_file_num(*reader, "h5_file_num");
	TTreeReaderValue<Long64_t> event_number(*reader, "event_number");
	TTreeReaderValue<UChar_t> tot(*reader, "tot");
	TTreeReaderValue<UChar_t> relative_BCID(*reader, "relative_BCID");
	TTreeReaderValue<Long64_t> SM_event_num(*reader, "SM_event_num");
	TTreeReaderValue<Double_t> x(*reader, "x");
	TTreeReaderValue<Double_t> y(*reader, "y");
	TTreeReaderValue<Double_t> z(*reader, "z");

	// Initialize the canvas and graph
	TCanvas *c1 = new TCanvas("c1","3D Occupancy for Specified SM Event", 1000, 10, 900, 550);
	c1->SetRightMargin(0.25);
	TGraph2D *graph = new TGraph2D();

	// Variables used to loop the main loop
	bool endOfReader = false; // if reached end of the reader
	bool quit = false; // if pressed q
	int smEventNum = 1; // the current SM-event CHOOSE THIS to start at desired SM event number
	
	// Main Loop (loops for every smEventNum)
	while (!endOfReader && !quit) {
		// Variables used in this main loop
		int startEntryNum = 0;
		int endEntryNum = 0;
		string histTitle = "3D Occupancy for SM Event ";
		string inString = "";
		bool fitFailed = false; // true if the 3D fit failed
		bool lastEvent = false;

		// Declaring some important output values for the current graph and/or line fit
		int numEntries = 0;
		double sumSquares = 0;

		// Get startEntryNum and endEntryNum
		startEntryNum = getEntryNumWithSMEventNum(reader, smEventNum);
		endEntryNum = getEntryNumWithSMEventNum(reader, smEventNum + 1);

		if (startEntryNum == -2) { // can't find the smEventNum
			cout << "Error: There should not be any SM event numbers that are missing." << "\n";
		} else if (startEntryNum == -3) { 
			endOfReader = true;
			break;
		} else if (endEntryNum == -3) { // assuming no SM event nums are skipped
			endEntryNum = reader->GetEntries(false);
			lastEvent = true;
		}

		// Fill TGraph with points and set title and axes
		graph = new TGraph2D(); // create a new TGraph to refresh

		reader->SetEntry(startEntryNum);
		for (int i = 0; i < endEntryNum - startEntryNum; i++) {
			graph->SetPoint(i, (*x - 0.001), (*y + 0.001), (*z - 0.001));
			endOfReader = !(reader->Next());
		}

		histTitle.append(to_string(smEventNum));
		graph->SetTitle(histTitle.c_str());
		graph->GetXaxis()->SetTitle("x (mm)");
		graph->GetYaxis()->SetTitle("y (mm)");
		graph->GetZaxis()->SetTitle("z (mm)");

		graph->GetXaxis()->SetLimits(0, 20); // ROOT is buggy, x and y use setlimits()
		graph->GetYaxis()->SetLimits(-16.8, 0); // but z uses setrangeuser()
		graph->GetZaxis()->SetRangeUser(0, 40.96);
		c1->SetTitle(histTitle.c_str());

		// 3D Fit, display results, draw graph and line fit, only accept "good" events, get input
		if (!endOfReader || lastEvent) {
			// Display some results
			numEntries = graph->GetN();
			cout << "Current SM Event Number: " << smEventNum << "\n";
			cout << "Number of entries:       " << numEntries << "\n";

			// Starting the fit. First, get decent starting parameters for the fit - do two 2D fits (one for x vs z, one for y vs z)
			TGraph *graphZX = new TGraph();
			TGraph *graphZY = new TGraph();
			reader->SetEntry(startEntryNum);
			for (int i = 0; i < endEntryNum - startEntryNum; i++) {
				graphZX->SetPoint(i, (*z - 0.001), (*x + 0.001));
				graphZY->SetPoint(i, (*z - 0.001), (*y + 0.001));
				reader->Next();
			}
			TFitResultPtr fitZX = graphZX->Fit("pol1", "WQS"); // w for ignore error of each pt, q for quiet (suppress results output), s for return a tfitresultptr
			TFitResultPtr fitZY = graphZY->Fit("pol1", "WQS");
			Double_t param0 = fitZX->GetParams()[0];
			Double_t param1 = fitZX->GetParams()[1];
			Double_t param2 = fitZY->GetParams()[0];
			Double_t param3 = fitZY->GetParams()[1];

			// // Draw the lines for the two 2D fits
			// int n = 2;
			// TPolyLine3D *lineZX = new TPolyLine3D(n);
			// TPolyLine3D *lineZY = new TPolyLine3D(n);
			// lineZX->SetPoint(0, param0, 0, 0);
			// lineZX->SetPoint(1, param0 + param1 * 40.96, 0, 40.96);
			// lineZX->SetLineColor(kBlue);
			// lineZX->Draw("same");
			// lineZY->SetPoint(0, 0, param2, 0);
			// lineZY->SetPoint(1, 0, param2 + param3 * 40.96, 40.96);
			// lineZY->SetLineColor(kGreen);
			// lineZY->Draw("same");


			// 3D FITTING CODE (based on line3Dfit.C), draw graph and line fit
			ROOT::Fit::Fitter  fitter;
		   	SumDistance2 sdist(graph);
#ifdef __CINT__
		   	ROOT::Math::Functor fcn(&sdist,4,"SumDistance2");
#else
		   	ROOT::Math::Functor fcn(sdist,4);
#endif
			// set the function and the initial parameter values
			double pStart[4] = {param0,param1,param2,param3};
			fitter.SetFCN(fcn,pStart);
			// set step sizes different than default ones (0.3 times parameter values)
			for (int i = 0; i < 4; ++i) fitter.Config().ParSettings(i).SetStepSize(0.01);

			bool ok = fitter.FitFCN();
			if (!ok) {
			  Error("line3Dfit","Line3D Fit failed");
			  fitFailed = true;
			} else {
				const ROOT::Fit::FitResult & result = fitter.Result();
				const double * fitParams = result.GetParams();

				sumSquares = result.MinFcnValue();
				std::cout << "Sum of distance squares:  " << sumSquares << std::endl;
				std::cout << "Sum of distance squares divided by numEntries: " << sumSquares/numEntries << std::endl;
				std::cout << "Theta : " << TMath::ATan(sqrt(pow(fitParams[1], 2) + pow(fitParams[3], 2))) << std::endl;
				// result.Print(std::cout); // (un)suppress results output

				// Draw the graph
				graph->SetMarkerStyle(8);
				graph->SetMarkerSize(0.5);
				graph->Draw("pcol");

				// Draw the fitted line
				int n = 1000;
				double t0 = 0; // t is the z coordinate
				double dt = 40.96;
				TPolyLine3D *l = new TPolyLine3D(n);
				for (int i = 0; i <n;++i) {
				  double t = t0+ dt*i/n;
				  double x,y,z;
				  line(t,fitParams,x,y,z);
				  l->SetPoint(i,x,y,z);
				}
				l->SetLineColor(kRed);
				l->Draw("same");

				// Access fit params and minfcnvalue
				// cout << "FIT1: " << fitParams[1] << "\n";
				// cout << "FIT2: " << result.MinFcnValue() << "\n";
			}

			// Criteria to be a good event (if not good entry, then don't show)
			bool isGoodEvent = false;

				// the following block of code finds the mean X, Y ans Z values
				double meanX = 0;
				double meanY = 0;
				double meanZ = 0;
				reader->SetEntry(startEntryNum);
				for (int i = 0; i < endEntryNum - startEntryNum; i++) {
					meanX += graph->GetX()[i];
					meanY += graph->GetY()[i];
					meanZ += graph->GetZ()[i];
					reader->Next();
				}
				meanX /= endEntryNum - startEntryNum;
				meanY /= endEntryNum - startEntryNum;
				meanZ /= endEntryNum - startEntryNum;

				// the following code block calculates the fraction of the hits in the smEvent that are inside a sphere, centered at the mean XYZ, of radius 'radius' (larger fraction means the track is less like a long streak and more like a dense blob)
				double radius = 1; // length in mm 
				double fractionInsideSphere = 0;
				reader->SetEntry(startEntryNum);
				for (int i = 0; i < endEntryNum - startEntryNum; i++) {
					double distanceFromMeanXYZ = sqrt(pow(graph->GetX()[i] - meanX, 2) + pow(graph->GetY()[i] - meanY, 2) + pow(graph->GetZ()[i] - meanZ, 2));
					if (distanceFromMeanXYZ <= 2) {
						fractionInsideSphere += 1;
					}
					reader->Next();
				}
				fractionInsideSphere /= endEntryNum - startEntryNum;

				cout << "fraction inside sphere: " << fractionInsideSphere << "\n";

			// if (numEntries >= 50 
			// 	&& sumSquares/numEntries < 2.0 
			// 	&& fractionInsideSphere < 0.8) {

			// 	isGoodEvent = true;
			// }

			isGoodEvent = true;

			if (isGoodEvent) { // won't show drawings or ask for input unless its a good event
				c1->Update(); // show all the drawings
				// handle input
				bool inStringValid = false;
	            do {
		            cout << "<Enter>: next event; 'b': previous SM event; [number]: specific SM event number; 'q': quit.\n";
		            getline(cin, inString);

		            // Handles behavior according to input
		            if (inString.empty()) { // <Enter>
		            	// leave things be
						inStringValid = true;
		            } else if (inString.compare("b") == 0) {
						smEventNum -= 2; // because it gets incremented once at the end of this do while loop
						inStringValid = true;
					} else if (inString.compare("q") == 0 || inString.compare(".q") == 0) {
						quit = true;
						inStringValid = true;
					} else if (canConvertStringToPosInt(inString)) {
						smEventNum = convertStringToPosInt(inString) - 1; // -1 because it gets incremented once at the end of this do while loop
						inStringValid = true;
					} // else, leave inStringValid as false, so that it asks for input again
				} while (!inStringValid);
			} else {
				cout << "\n";
			}

		}
		smEventNum++;
	}

	cout << "Exiting program.\n";
}
Esempio n. 3
0
void kdTreeBinning() {

   // -----------------------------------------------------------------------------------------------
   //  C r e a t e  r a n d o m  s a m p l e  w i t h  r e g u l a r  b i n n i n g  p l o t t i n g
   // -----------------------------------------------------------------------------------------------

   const UInt_t DATASZ = 10000;
   const UInt_t DATADIM = 2;
   const UInt_t NBINS = 50;

   Double_t smp[DATASZ * DATADIM];

   double mu[2] = {0,2};
   double sig[2] = {2,3};
   TRandom3 r;
   r.SetSeed(1);
   for (UInt_t i = 0; i < DATADIM; ++i)
      for (UInt_t j = 0; j < DATASZ; ++j)
         smp[DATASZ * i + j] = r.Gaus(mu[i], sig[i]);

   UInt_t h1bins = (UInt_t) sqrt(NBINS);

   TH2D* h1 = new TH2D("h1BinTest", "Regular binning", h1bins, -5., 5., h1bins, -5., 5.);
   for (UInt_t j = 0; j < DATASZ; ++j)
      h1->Fill(smp[j], smp[DATASZ + j]);


   // ---------------------------------------------------------------------------------------------
   // C r e a t e  K D T r e e B i n n i n g  o b j e c t  w i t h  T H 2 P o l y  p l o t t i n g
   // ---------------------------------------------------------------------------------------------

   TKDTreeBinning* kdBins = new TKDTreeBinning(DATASZ, DATADIM, smp, NBINS);

   UInt_t nbins = kdBins->GetNBins();
   UInt_t dim   = kdBins->GetDim();

   const Double_t* binsMinEdges = kdBins->GetBinsMinEdges();
   const Double_t* binsMaxEdges = kdBins->GetBinsMaxEdges();

   TH2Poly* h2pol = new TH2Poly("h2PolyBinTest", "KDTree binning", kdBins->GetDataMin(0), kdBins->GetDataMax(0), kdBins->GetDataMin(1), kdBins->GetDataMax(1));

   for (UInt_t i = 0; i < nbins; ++i) {
      UInt_t edgeDim = i * dim;
      h2pol->AddBin(binsMinEdges[edgeDim], binsMinEdges[edgeDim + 1], binsMaxEdges[edgeDim], binsMaxEdges[edgeDim + 1]);
   }

   for (UInt_t i = 1; i <= kdBins->GetNBins(); ++i)
      h2pol->SetBinContent(i, kdBins->GetBinDensity(i - 1));

   std::cout << "Bin with minimum density: " << kdBins->GetBinMinDensity() << std::endl;
   std::cout << "Bin with maximum density: " << kdBins->GetBinMaxDensity() << std::endl;

   TCanvas* c1 = new TCanvas("glc1", "TH2Poly from a kdTree",0,0,600,800);
   c1->Divide(1,3);
   c1->cd(1);
   h1->Draw("lego");

   c1->cd(2);
   h2pol->Draw("COLZ L");
   c1->Update();


   /* Draw an equivalent plot showing the data points */
   /*-------------------------------------------------*/

   std::vector<Double_t> z = std::vector<Double_t>(DATASZ, 0.);
   for (UInt_t i = 0; i < DATASZ; ++i)
      z[i] = (Double_t) h2pol->GetBinContent(h2pol->FindBin(smp[i], smp[DATASZ + i]));

   TGraph2D *g = new TGraph2D(DATASZ, smp, &smp[DATASZ], &z[0]);
   gStyle->SetPalette(1);
   g->SetMarkerStyle(20);

   c1->cd(3);
   g->Draw("pcol");
   c1->Update();

   // ---------------------------------------------------------
   // make a new TH2Poly where bins are ordered by the density
   // ---------------------------------------------------------

   TH2Poly* h2polrebin = new TH2Poly("h2PolyBinTest", "KDTree binning", kdBins->GetDataMin(0), kdBins->GetDataMax(0), kdBins->GetDataMin(1), kdBins->GetDataMax(1));
   h2polrebin->SetFloat();

   /*---------------------------------*/
   /* Sort the bins by their density  */
   /*---------------------------------*/

   kdBins->SortBinsByDensity();

   for (UInt_t i = 0; i < kdBins->GetNBins(); ++i) {
      const Double_t* binMinEdges = kdBins->GetBinMinEdges(i);
      const Double_t* binMaxEdges = kdBins->GetBinMaxEdges(i);
      h2polrebin->AddBin(binMinEdges[0], binMinEdges[1], binMaxEdges[0], binMaxEdges[1]);
   }

   for (UInt_t i = 1; i <= kdBins->GetNBins(); ++i){
      h2polrebin->SetBinContent(i, kdBins->GetBinDensity(i - 1));}

   std::cout << "Bin with minimum density: " << kdBins->GetBinMinDensity() << std::endl;
   std::cout << "Bin with maximum density: " << kdBins->GetBinMaxDensity() << std::endl;

   // now make a vector with bin number vs position
   for (UInt_t i = 0; i < DATASZ; ++i)
     z[i] = (Double_t) h2polrebin->FindBin(smp[i], smp[DATASZ + i]);

   TGraph2D *g2 = new TGraph2D(DATASZ, smp, &smp[DATASZ], &z[0]);
   g2->SetMarkerStyle(20);


   // plot new TH2Poly (ordered one) and TGraph2D
   // The new TH2Poly has to be same as old one and the TGraph2D should be similar to
   // the previous one. It is now made using as z value the bin number

   TCanvas* c4 = new TCanvas("glc4", "TH2Poly from a kdTree (Ordered)",50,50,800,800);

   c4->Divide(2,2);
   c4->cd(1);
   h2polrebin->Draw("COLZ L");  // draw as scatter plot

   c4->cd(2);
   g2->Draw("pcol");

   c4->Update();

   // make also the 1D binned histograms

   TKDTreeBinning* kdX = new TKDTreeBinning(DATASZ, 1, &smp[0], 20);
   TKDTreeBinning* kdY = new TKDTreeBinning(DATASZ, 1, &smp[DATASZ], 40);


  kdX->SortOneDimBinEdges();
  kdY->SortOneDimBinEdges();

  TH1* hX=new TH1F("hX", "X projection", kdX->GetNBins(), kdX->GetOneDimBinEdges());
  for(int i=0; i<kdX->GetNBins(); ++i){
    hX->SetBinContent(i+1, kdX->GetBinDensity(i));
  }

  TH1* hY=new TH1F("hY", "Y Projection", kdY->GetNBins(), kdY->GetOneDimBinEdges());
  for(int i=0; i<kdY->GetNBins(); ++i){
    hY->SetBinContent(i+1, kdY->GetBinDensity(i));
  }

  c4->cd(3);
  hX->Draw();
  c4->cd(4);
  hY->Draw();
}
Esempio n. 4
0
void FitXS (int nminx = 0, int nmaxx = 1509, int nmintest = 0, int nmaxtest = 1509) {
    ////////////////////////////////////////////////////
    // ftp://root.cern.ch/root/doc/ROOTUsersGuideHTML/ch09s05.html
    TStyle *defaultStyle = new TStyle("defaultStyle","Default Style");
    //gStyle->SetOptStat(0);
    //  defaultStyle->SetOptStat(0000);
    //  defaultStyle->SetOptFit(000); 
    //  defaultStyle->SetPalette(1);
    ////////////////////////
    defaultStyle->SetOptStat(0); // remove info box
    /////// pad ////////////
    defaultStyle->SetPadBorderMode(0);
    defaultStyle->SetPadBorderSize(3);
    defaultStyle->SetPadColor(0);
    defaultStyle->SetPadTopMargin(0.1);
    defaultStyle->SetPadBottomMargin(0.16);
    defaultStyle->SetPadRightMargin(5.5);
    defaultStyle->SetPadLeftMargin(0.18);
    /////// canvas /////////
    defaultStyle->SetCanvasBorderMode(1);
    defaultStyle->SetCanvasColor(0);
    //  defaultStyle->SetCanvasDefH(600);
    //  defaultStyle->SetCanvasDefW(600);
    /////// frame //////////
    //defaultStyle->SetFrameBorderMode(1);
    //defaultStyle->SetFrameBorderSize(1);
    defaultStyle->SetFrameFillColor(0); 
    defaultStyle->SetFrameLineColor(1);
    /////// label //////////
    //  defaultStyle->SetLabelOffset(0.005,"XY");
    //  defaultStyle->SetLabelSize(0.05,"XY");
    //defaultStyle->SetLabelFont(46,"XY");
    /////// title //////////
    //defaultStyle->SetTitleW(0.6);
    defaultStyle->SetTitleSize(0.08, "XYZ");
    defaultStyle->SetTitleBorderSize(0);
    defaultStyle->SetTitleX(0.2);
    //  defaultStyle->SetTitleOffset(1.1,"X");
    //  defaultStyle->SetTitleSize(0.01,"X");
    //  defaultStyle->SetTitleOffset(1.25,"Y");
    //  defaultStyle->SetTitleSize(0.05,"Y");
    //defaultStyle->SetTitleFont(42, "XYZ");
    /////// various ////////
    defaultStyle->SetNdivisions(303,"Y");
    defaultStyle->SetTitleFillColor(0);//SetTitleFillStyle(0, "Z");
    //defaultStyle->SetTitleX(0.2);
    //defaultStyle->SetTitleY(0.1);
    //defaultStyle->SetTitleBorderSize(-0.1);  // For the axis titles:
    
    //    defaultStyle->SetTitleColor(1, "XYZ");
    //    defaultStyle->SetTitleFont(42, "XYZ");
    
    
    // defaultStyle->SetTitleYSize(0.08);
    //defaultStyle->SetTitleXOffset(0.9);
    //defaultStyle->SetTitleYOffset(1.05);
    defaultStyle->SetTitleOffset(1.3, "Y"); // Another way to set the Offset
    //defaultStyle->SetTitleOffset(1.0, "X"); // Another way to set the Offset    
    // For the axis labels:
    defaultStyle->SetLabelColor(1, "XYZ");
    //defaultStyle->SetLabelFont(46, "XYZ");
    defaultStyle->SetLabelOffset(0.03, "XYZ");
    defaultStyle->SetLabelSize(0.07, "XYZ");
    //defaultStyle->SetLabelY(0.06);    
    // For the axis:
    //    defaultStyle->SetAxisColor(1, "XYZ");
    defaultStyle->SetStripDecimals(kTRUE);
    defaultStyle->SetTickLength(0.03, "XYZ");
    defaultStyle->SetNdivisions(7, "XYZ");
    //    defaultStyle->SetPadTickX(1);   // To get tick marks on the opposite side of the frame
    //    defaultStyle->SetPadTickY(1);
    defaultStyle->cd();

    ///////////////////////////////////////////

  nmin=nminx;
  nmax=nmaxx;
  if (nmin<0) nmin=0;
  if (nmax>Npoints) nmax=Npoints;
  // Read in the cross section values and the parameters space points
  ifstream XSvals;
    XSvals.open("list_all_translation_CX.txt");//"14TeV_CX_5k_opositecgw.ascii");// "8TeV_CX_5k_opositecgw.ascii");//
  for (int i=nmin; i<nmax; i++)  {
    XSvals >> par0[i] >> par1[i] >> par2[i] >> par3[i] >> par4[i] >> cross_section[i] >> cross_sectionerr[i];
    cout << "For point i = " << i << "pars are " << par0[i] << " " << par1[i] << " " << par2[i] 
    	 << " " << par3[i] << " " << par4[i] << " and xs is " << cross_section[i] << endl;
  }
  
  cout << "**********************************************" << endl;
  
  // Likelihood maximization
  // -----------------------  
  // Minuit routine
  TMinuit rmin(2);
  rmin.SetFCN(Likelihood);
  // Main initialization member function for MINUIT
  rmin.mninit(5,6,7);
  // Parameters needed to be unambiguous with MINOS
  int iflag=0; // You can use this for selection
  double arglis[4];
  //arglis[0]=2;
  arglis[0]=1;
  // Sets the strategy to be used in calculating first and second derivatives 
  // and in certain minimization methods. 1 is default
  rmin.mnexcm("SET STR", arglis, 1, iflag);
  // Set fit parameters
  
  double Start[15];//  ={ 0.030642286182762914, 0.1502216514258229, 0.004287943879883482, 0.0016389029559123376, 0.01930407853512356, -0.12540818099961384, -0.02048425705808435,  0.04246248185144494, 0.02590360491719489,  -0.05255851386689693,  -0.010393610828707423,  0.02770339496466713,  0.005468667874225809,  -0.011297300064522649,  -0.02261561923548796}; // cx in pb
  //  double Start[15] = {2.2646, 1.102, 0.316898, 16, 192, -3, -1, 1, 7, 15, -8, -23, 4, 9, 200}; // normalized to SM
  double Step[15];// ={ 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01 }; //={0.01};
  double Min[15]; // ={-3.1415926};
  double Max[15]; // = {3.1415926}; 
  for (int i=0; i<15; i++) {
    Start[i]=1.;
    Step[i]=1;
    Min[i]=-100000;
    Max[i]=+100000;
  }
  TString parnamEj[15]={"A1","A2","A3","A4","A5","A6","A7","A8","A9","A10","A11","A12","A13","A14","A15"};
  for (int i=0; i<15; i++) {
    rmin.mnparm(i, parnamEj[i],  Start[i], Step[i], Min[i], Max[i], iflag);
  }
  // Instructs Minuit to call subroutine FCN with the value of IFLAG
  rmin.mnexcm("call fcn", arglis, 1, iflag); // command executed normally
  // Causes minimization of the function by the method of Migrad
  rmin.mnexcm("mini", arglis, 0, iflag);
  // Read results
  double a[15], err[15], pmin, pmax;
  int ivar;
  for (int i=0; i<15; i++) {
    rmin.mnpout (i, parnamEj[i], a[i], err[i], pmin, pmax, ivar);
  }

  // End of program
  // --------------
  gROOT->Time();
    cout<<endl<<" Making plots "<<endl;
    cout<<"$A_1$ = "<<a[0]<<" $\\pm$ "<<err[0]<<" & $A_4$ = "<<a[3]<<" $\\pm$ "<<err[3]<<" & $A_7$ = "<<a[6]<<" $\\pm$ "<<err[6]<<" & $A_{10}$ = "<<a[9]<<" $\\pm$ "<<err[9]<<" & $A_{13}$ = "<<a[12]<<" $\\pm$ "<<err[12]<< " \\\ "<<endl;
    cout<<"$A_2$ = "<<a[1]<<" $\\pm$ "<<err[1]<<" & $A_5$ = "<<a[4]<<" $\\pm$ "<<err[4]<<" & $A_8$ = "<<a[7]<<" $\\pm$ "<<err[7]<<" & $A_{11}$ = "<<a[10]<<" $\\pm$ "<<err[10]<<" & $A_{14}$ = "<<a[13]<<" $\\pm$ "<<err[13]<< " \\\ "<<endl;
    cout<<"$A_3$ = "<<a[2]<<" $\\pm$ "<<err[2]<<" & $A_6$ = "<<a[5]<<" $\\pm$ "<<err[5]<<" & $A_9$ = "<<a[8]<<" $\\pm$ "<<err[8]<<" & $A_{12}$ = "<<a[11]<<" $\\pm$ "<<err[11]<<" & $A_{15}$ = "<<a[14]<<" $\\pm$ "<<err[14]<< " \\\ "<<endl;
    cout<<endl<<" To mathematica: "<<endl;
    cout<<"{"<<a[0]<<","<<a[1]<<","<<a[2]<<","<<a[3]<<","<<a[4]<<","<<a[5]<<","<<a[6]<<","<<a[7]<<","<<a[8]<<","<<a[9]<<","<<a[10]<<","<<a[11]<<","<<a[12]<<","<<a[13]<<","<<a[14]<<"}"<<endl;
    cout<<endl<<" To mathematica (errors): "<<endl;
    cout<<"{"<<err[0]<<","<<err[1]<<","<<err[2]<<","<<err[3]<<","<<err[4]<<","<<err[5]<<","<<err[6]<<","<<err[7]<<","<<err[8]<<","<<err[9]<<","<<err[10]<<","<<err[11]<<","<<err[12]<<","<<err[13]<<","<<err[14]<<"}"<<endl;
    
    /////////////////
    // plot the CX 
    ////////////////
    // plane b
    double norm =  1; //0.013531;// 0.0041758;//1;//  8tev 13 tev  1;// 
    double kt5d=1.0;
    double kl5d=1.0;
    double c25d=0.0;
    double mincg = -2.99, maxcg=2.99;
    // cg ===> x 
    // c2g ===> y
    TF2 *fg2 = new TF2("fg2","(([0]*[15]**4 + [1]*[17]**2 + [2]*[15]**2*[16]**2 + [3]*x**2*[16]**2 +  [4]*y**2 + [5]*[17]*[15]**2 + [6]*[15]*[16]*[15]**2 + [7]*[15]*[16]*[17] + [8]*x*[16]*[17] + [9]*[17]*y + [10]*x*[16]*[15]**2 + [11]*y*[15]**2 + [12]*[16]*x*[15]*[16] + [13]*y*[15]*[16] + [14]*x*y*[16])/[18])",mincg,maxcg,mincg,maxcg);
    fg2->SetParameter(0,a[0]);
    fg2->SetParameter(1,a[1]);
    fg2->SetParameter(2,a[2]);    
    fg2->SetParameter(3,a[3]);
    fg2->SetParameter(4,a[4]);
    fg2->SetParameter(5,a[5]); 
    fg2->SetParameter(6,a[6]);
    fg2->SetParameter(7,a[7]);
    fg2->SetParameter(8,a[8]); 
    fg2->SetParameter(9,a[9]);
    fg2->SetParameter(10,a[10]);
    fg2->SetParameter(11,a[11]); 
    fg2->SetParameter(12,a[12]);    
    fg2->SetParameter(13,a[13]);
    fg2->SetParameter(14,a[14]);
    fg2->SetTitle("kt = #kappa_{#lambda} = 1 , c_{2} = 0 ; c_{g} ; c_{2g}");
    fg2->SetParameter(15,kt5d);    
    fg2->SetParameter(16,kl5d);
    fg2->SetParameter(17,c25d);
    fg2->SetParameter(18,norm); //0.013531
    //fg2->SetMinimum(0);
    fg2->SetContour(100);
    // 
    ////////////////////////////////
    kt5d=1.0;
    kl5d=10.0;
    c25d=0.0;
    // cg ===> x 
    // c2g ===> y
    TF2 *fg10 = new TF2("fg10","([0]*[15]**4 + [1]*[17]**2 + [2]*[15]**2*[16]**2 + [3]*x**2*[16]**2 +  [4]*y**2 + [5]*[17]*[15]**2 + [6]*[15]*[16]*[15]**2 + [7]*[15]*[16]*[17] + [8]*x*[16]*[17] + [9]*[17]*y + [10]*x*[16]*[15]**2 + [11]*y*[15]**2 + [12]*[16]*x*[15]*[16] + [13]*y*[15]*[16] + [14]*x*y*[16])/[18]",mincg,maxcg,mincg,maxcg);
    fg10->SetParameter(0,a[0]);
    fg10->SetParameter(1,a[1]);
    fg10->SetParameter(2,a[2]);    
    fg10->SetParameter(3,a[3]);
    fg10->SetParameter(4,a[4]);
    fg10->SetParameter(5,a[5]); 
    fg10->SetParameter(6,a[6]);
    fg10->SetParameter(7,a[7]);
    fg10->SetParameter(8,a[8]); 
    fg10->SetParameter(9,a[9]);
    fg10->SetParameter(10,a[10]);
    fg10->SetParameter(11,a[11]); 
    fg10->SetParameter(12,a[12]);    
    fg10->SetParameter(13,a[13]);
    fg10->SetParameter(14,a[14]);
    fg10->SetTitle("");
    fg10->SetParameter(15,kt5d);    
    fg10->SetParameter(16,kl5d);
    fg10->SetParameter(17,c25d);
    fg10->SetParameter(18,norm);// 0.013531
    fg10->SetMinimum(0);
    ////////////////////////////////
    kt5d=1.0;
    kl5d=-10.0;
    c25d=0.0;
    // cg ===> x 
    // c2g ===> y
    TF2 *fgm10 = new TF2("fgm10","([0]*[15]**4 + [1]*[17]**2 + [2]*[15]**2*[16]**2 + [3]*x**2*[16]**2 +  [4]*y**2 + [5]*[17]*[15]**2 + [6]*[15]*[16]*[15]**2 + [7]*[15]*[16]*[17] + [8]*x*[16]*[17] + [9]*[17]*y + [10]*x*[16]*[15]**2 + [11]*y*[15]**2 + [12]*[16]*x*[15]*[16] + [13]*y*[15]*[16] + [14]*x*y*[16])/[18]",mincg,maxcg,mincg,maxcg);
    fgm10->SetParameter(0,a[0]);
    fgm10->SetParameter(1,a[1]);
    fgm10->SetParameter(2,a[2]);    
    fgm10->SetParameter(3,a[3]);
    fgm10->SetParameter(4,a[4]);
    fgm10->SetParameter(5,a[5]); 
    fgm10->SetParameter(6,a[6]);
    fgm10->SetParameter(7,a[7]);
    fgm10->SetParameter(8,a[8]); 
    fgm10->SetParameter(9,a[9]);
    fgm10->SetParameter(10,a[10]);
    fgm10->SetParameter(11,a[11]); 
    fgm10->SetParameter(12,a[12]);    
    fgm10->SetParameter(13,a[13]);
    fgm10->SetParameter(14,a[14]);
    fgm10->SetTitle("");
    fgm10->SetParameter(15,kt5d);    
    fgm10->SetParameter(16,kl5d);
    fgm10->SetParameter(17,c25d);
    fgm10->SetParameter(18,norm);//0.013531
    fgm10->SetMinimum(0);
    //
    cout<<endl<<"Value of the formula in SM point: 0.013531 pb"<<a[0]<<endl;
    cout<<"teste funcao cg , c2g : 0,0 "<< fg2->Eval(0,0)<<endl;
    cout<<"teste funcao cg , c2g : -1,1  "<<  fg2->Eval(-1,1)<<endl;
    cout<<"teste funcao cg , c2g : 1,-1  "<<  fg2->Eval(-1,1)<<endl;
    cout<<" "<<endl;
    ////////////////////////////////////////////////////
    double cg=0.0;
    double c2g=0.0;
    c25d=0.0;
    // cg ===> x  ===> kl
    // c2g ===> y ===> kt
    TF2 *SM0 = new TF2("SM0","(([0]*y**4 + [1]*[17]**2 + [2]*y**2*x**2 + [3]*[15]**2*x**2 +  [4]*[15]**2 + [5]*[17]*y**2 + [6]*y*x*y**2 + [7]*[15]*x*[17] + [8]*[16]*x*[17] + [9]*[17]*y + [10]*[16]*x*[15]**2 + [11]*[16]*y**2 + [12]*x*[16]*[15]*x + [13]*[15]*[15]*x + [14]*[16]*[15])/[18])+[19]",-15,15,0.5,2.5);
    SM0->SetParameter(0,a[0]);
    SM0->SetParameter(1,a[1]);
    SM0->SetParameter(2,a[2]);    
    SM0->SetParameter(3,a[3]);
    SM0->SetParameter(4,a[4]);
    SM0->SetParameter(5,a[5]); 
    SM0->SetParameter(6,a[6]);
    SM0->SetParameter(7,a[7]);
    SM0->SetParameter(8,a[8]); 
    SM0->SetParameter(9,a[9]);
    SM0->SetParameter(10,a[10]);
    SM0->SetParameter(11,a[11]); 
    SM0->SetParameter(12,a[12]);    
    SM0->SetParameter(13,a[13]);
    SM0->SetParameter(14,a[14]);
    SM0->SetParameter(15,cg); //==>y     
    SM0->SetParameter(16,c2g);//==>x
    SM0->SetParameter(17,c25d);
    SM0->SetParameter(18,norm);// 0.013531
    SM0->SetParameter(19,0.0001);// 0.013531
    SM0->SetTitle("c_{2} = c_{2g} = c_{g} = 0 ; #kappa_{#lambda} ; #kappa_{t}");
    //SM0->SetMinimum(0);
    SM0->SetContour(200);
    //
    cout<<endl<<"Value of the formula in SM point: 0.013531 pb "<<endl;
    cout<<"teste funcao kl , kt : 1,1 "<< SM0->Eval(1,1)<<endl;
    cout<<"teste funcao kl , kt : -10, 1  "<<  SM0->Eval(-10,1)<<endl;
    cout<<"teste funcao kl , kt : 10, 1  "<<  SM0->Eval(10,1)<<endl;
    ////////////////////////////////
    kt5d=1.0;
    kl5d=1.0;
    c25d=0.0;
    // cg ===> x ==> c2
    // c2g ===> y ==> kt
    TF2 *l1 = new TF2("l1","([0]*y**4 + [1]*x**2 + [2]*y**2*[16]**2 + [3]*[17]**2*[16]**2 +  [4]*[15]**2 + [5]*x*y**2 + [6]*y*[16]*y**2 + [7]*y*[16]*x + [8]*[17]*[16]*x + [9]*x*[15] + [10]*[17]*[16]*y**2 + [11]*[15]*y**2 + [12]*[16]*[17]*y*[16] + [13]*[15]*y*[16] + [14]*[17]*[15]*[16])/[18]",-4,4,0.5,2.5);
    l1->SetParameter(0,a[0]);
    l1->SetParameter(1,a[1]);
    l1->SetParameter(2,a[2]);    
    l1->SetParameter(3,a[3]);
    l1->SetParameter(4,a[4]);
    l1->SetParameter(5,a[5]); 
    l1->SetParameter(6,a[6]);
    l1->SetParameter(7,a[7]);
    l1->SetParameter(8,a[8]); 
    l1->SetParameter(9,a[9]);
    l1->SetParameter(10,a[10]);
    l1->SetParameter(11,a[11]); 
    l1->SetParameter(12,a[12]);    
    l1->SetParameter(13,a[13]);
    l1->SetParameter(14,a[14]);
    l1->SetTitle("#kappa_{#lambda} =1 , c_{2g} = c_{g} = 0 ; c_{2} ; #kappa_{t}");
    l1->SetParameter(15,c2g); //==> c2g
    l1->SetParameter(16,kl5d);
    l1->SetParameter(17,cg); //==> cg
    l1->SetParameter(18,norm);//0.013531
    //l1->->SetRange(1e1,0.1,1e3,1);
    //l1->SetMaximum(4e2);
    //l1->SetMinimum(0);
    //
    cout<<endl<<"Value of the formula in SM point: 0.013531 pb"<<a[0]<<endl;
    cout<<"teste funcao cg , c2g : 0,0 "<< l1->Eval(0,1)<<endl;
    cout<<"teste funcao cg , c2g : -1,1  "<<  l1->Eval(-1,1)<<endl;
    cout<<"teste funcao cg , c2g : 1,-1  "<<  l1->Eval(-1,1)<<endl;
    cout<<" "<<endl;
    
    ////////////////////////////////
    kt5d=1.0;
    kl5d=0.0;
    c25d=0.0;
    // cg ===> x ==> c2
    // c2g ===> y ==> kt
    TF2 *l0 = new TF2("l0","([0]*y**4 + [1]*x**2 + [2]*y**2*[16]**2 + [3]*[17]**2*[16]**2 +  [4]*[15]**2 + [5]*x*y**2 + [6]*y*[16]*y**2 + [7]*y*[16]*x + [8]*[17]*[16]*x + [9]*x*[15] + [10]*[17]*[16]*y**2 + [11]*[15]*y**2 + [12]*[16]*[17]*y*[16] + [13]*[15]*y*[16] + [14]*[17]*[15]*[16])/[18]",-4,4,0.5,2.5);
    l0->SetParameter(0,a[0]);
    l0->SetParameter(1,a[1]);
    l0->SetParameter(2,a[2]);    
    l0->SetParameter(3,a[3]);
    l0->SetParameter(4,a[4]);
    l0->SetParameter(5,a[5]); 
    l0->SetParameter(6,a[6]);
    l0->SetParameter(7,a[7]);
    l0->SetParameter(8,a[8]); 
    l0->SetParameter(9,a[9]);
    l0->SetParameter(10,a[10]);
    l0->SetParameter(11,a[11]); 
    l0->SetParameter(12,a[12]);    
    l0->SetParameter(13,a[13]);
    l0->SetParameter(14,a[14]);
    l0->SetTitle("");
    l0->SetParameter(15,c2g); //==> c2g
    l0->SetParameter(16,kl5d);
    l0->SetParameter(17,cg); //==> cg
    l0->SetParameter(18,norm);//0.013531
    l0->SetMinimum(0);
    //
    cout<<endl<<"Value of the formula in SM point: 0.013531 pb"<<a[0]<<endl;
    cout<<"teste funcao cg , c2g : 0,0 "<< l0->Eval(0,1)<<endl;
    cout<<"teste funcao cg , c2g : -1,1  "<<  l0->Eval(-1,1)<<endl;
    cout<<"teste funcao cg , c2g : 1,-1  "<<  l0->Eval(-1,1)<<endl;
    cout<<" "<<endl;
    ////////////////////////////////
    kt5d=1.0;
    kl5d=2.4;
    c25d=0.0;
    // cg ===> x ==> c2
    // c2g ===> y ==> kt
    TF2 *l24 = new TF2("l24","([0]*y**4 + [1]*x**2 + [2]*y**2*[16]**2 + [3]*[17]**2*[16]**2 +  [4]*[15]**2 + [5]*x*y**2 + [6]*y*[16]*y**2 + [7]*y*[16]*x + [8]*[17]*[16]*x + [9]*x*[15] + [10]*[17]*[16]*y**2 + [11]*[15]*y**2 + [12]*[16]*[17]*y*[16] + [13]*[15]*y*[16] + [14]*[17]*[15]*[16])/[18]",-4,4,0.5,2.5);
    l24->SetParameter(0,a[0]);
    l24->SetParameter(1,a[1]);
    l24->SetParameter(2,a[2]);    
    l24->SetParameter(3,a[3]);
    l24->SetParameter(4,a[4]);
    l24->SetParameter(5,a[5]); 
    l24->SetParameter(6,a[6]);
    l24->SetParameter(7,a[7]);
    l24->SetParameter(8,a[8]); 
    l24->SetParameter(9,a[9]);
    l24->SetParameter(10,a[10]);
    l24->SetParameter(11,a[11]); 
    l24->SetParameter(12,a[12]);    
    l24->SetParameter(13,a[13]);
    l24->SetParameter(14,a[14]);
    l24->SetTitle("");
    l24->SetParameter(15,c2g); //==> c2g
    l24->SetParameter(16,kl5d);
    l24->SetParameter(17,cg); //==> cg
    l24->SetParameter(18,norm);//0.013531
    l24->SetMinimum(0);
    //
    cout<<endl<<"Value of the formula in SM point: 0.013531 pb"<<a[0]<<endl;
    cout<<"teste funcao cg , c2g : 0,0 "<< l24->Eval(0,1)<<endl;
    cout<<"teste funcao cg , c2g : -1,1  "<<  l24->Eval(-1,1)<<endl;
    cout<<"teste funcao cg , c2g : 1,-1  "<<  l24->Eval(-1,1)<<endl;
    cout<<" "<<endl;
    ////////////////////////////////
    kt5d=1.0;
    kl5d=5.0;
    c25d=0.0;
    // cg ===> x ==> c2
    // c2g ===> y ==> kt
    TF2 *l5 = new TF2("l5","([0]*y**4 + [1]*x**2 + [2]*y**2*[16]**2 + [3]*[17]**2*[16]**2 +  [4]*[15]**2 + [5]*x*y**2 + [6]*y*[16]*y**2 + [7]*y*[16]*x + [8]*[17]*[16]*x + [9]*x*[15] + [10]*[17]*[16]*y**2 + [11]*[15]*y**2 + [12]*[16]*[17]*y*[16] + [13]*[15]*y*[16] + [14]*[17]*[15]*[16])/[18]",-4,4,0.5,2.5);
    l5->SetParameter(0,a[0]);
    l5->SetParameter(1,a[1]);
    l5->SetParameter(2,a[2]);    
    l5->SetParameter(3,a[3]);
    l5->SetParameter(4,a[4]);
    l5->SetParameter(5,a[5]); 
    l5->SetParameter(6,a[6]);
    l5->SetParameter(7,a[7]);
    l5->SetParameter(8,a[8]); 
    l5->SetParameter(9,a[9]);
    l5->SetParameter(10,a[10]);
    l5->SetParameter(11,a[11]); 
    l5->SetParameter(12,a[12]);    
    l5->SetParameter(13,a[13]);
    l5->SetParameter(14,a[14]);
    l5->SetTitle("");
    l5->SetParameter(15,c2g); //==> c2g
    l5->SetParameter(16,kl5d);
    l5->SetParameter(17,cg); //==> cg
    l5->SetParameter(18,norm);//0.013531
    l5->SetMinimum(0);
    //
    cout<<endl<<"Value of the formula in SM point: 0.013531 pb"<<a[0]<<endl;
    cout<<"teste funcao cg , c2g : 0,0 "<< l5->Eval(0,1)<<endl;
    cout<<"teste funcao cg , c2g : -1,1  "<<  l5->Eval(-1,1)<<endl;
    cout<<"teste funcao cg , c2g : 1,-1  "<<  l5->Eval(-1,1)<<endl;
    cout<<" "<<endl;
    ////////////////////////////////
    kt5d=1.0;
    kl5d=10.0;
    c25d=0.0;
    // cg ===> x ==> c2
    // c2g ===> y ==> kt
    TF2 *l10 = new TF2("l10","([0]*y**4 + [1]*x**2 + [2]*y**2*[16]**2 + [3]*[17]**2*[16]**2 +  [4]*[15]**2 + [5]*x*y**2 + [6]*y*[16]*y**2 + [7]*y*[16]*x + [8]*[17]*[16]*x + [9]*x*[15] + [10]*[17]*[16]*y**2 + [11]*[15]*y**2 + [12]*[16]*[17]*y*[16] + [13]*[15]*y*[16] + [14]*[17]*[15]*[16])/[18]",-4,4,0.5,2.5);
    l10->SetParameter(0,a[0]);
    l10->SetParameter(1,a[1]);
    l10->SetParameter(2,a[2]);    
    l10->SetParameter(3,a[3]);
    l10->SetParameter(4,a[4]);
    l10->SetParameter(5,a[5]); 
    l10->SetParameter(6,a[6]);
    l10->SetParameter(7,a[7]);
    l10->SetParameter(8,a[8]); 
    l10->SetParameter(9,a[9]);
    l10->SetParameter(10,a[10]);
    l10->SetParameter(11,a[11]); 
    l10->SetParameter(12,a[12]);    
    l10->SetParameter(13,a[13]);
    l10->SetParameter(14,a[14]);
    l10->SetTitle("");
    l10->SetParameter(15,c2g); //==> c2g
    l10->SetParameter(16,kl5d);
    l10->SetParameter(17,cg); //==> cg
    l10->SetParameter(18,norm);//0.013531
    l10->SetMinimum(0);
    //
    cout<<endl<<"Value of the formula in SM point: 0.013531 pb"<<a[0]<<endl;
    cout<<"teste funcao cg , c2g : 0,0 "<< l10->Eval(0,1)<<endl;
    cout<<"teste funcao cg , c2g : -1,1  "<<  l10->Eval(-1,1)<<endl;
    cout<<"teste funcao cg , c2g : 1,-1  "<<  l10->Eval(-1,1)<<endl;
    cout<<" "<<endl;
    ////////////////////////////////
    kt5d=1.0;
    kl5d=-2.4;
    c25d=0.0;
    // cg ===> x ==> c2
    // c2g ===> y ==> kt
    TF2 *lm24 = new TF2("lm24","([0]*y**4 + [1]*x**2 + [2]*y**2*[16]**2 + [3]*[17]**2*[16]**2 +  [4]*[15]**2 + [5]*x*y**2 + [6]*y*[16]*y**2 + [7]*y*[16]*x + [8]*[17]*[16]*x + [9]*x*[15] + [10]*[17]*[16]*y**2 + [11]*[15]*y**2 + [12]*[16]*[17]*y*[16] + [13]*[15]*y*[16] + [14]*[17]*[15]*[16])/[18]",-17,17,0.5,2.5);
    lm24->SetParameter(0,a[0]);
    lm24->SetParameter(1,a[1]);
    lm24->SetParameter(2,a[2]);    
    lm24->SetParameter(3,a[3]);
    lm24->SetParameter(4,a[4]);
    lm24->SetParameter(5,a[5]); 
    lm24->SetParameter(6,a[6]);
    lm24->SetParameter(7,a[7]);
    lm24->SetParameter(8,a[8]); 
    lm24->SetParameter(9,a[9]);
    lm24->SetParameter(10,a[10]);
    lm24->SetParameter(11,a[11]); 
    lm24->SetParameter(12,a[12]);    
    lm24->SetParameter(13,a[13]);
    lm24->SetParameter(14,a[14]);
    lm24->SetTitle("");
    lm24->SetParameter(15,c2g); //==> c2g
    lm24->SetParameter(16,kl5d);
    lm24->SetParameter(17,cg); //==> cg
    lm24->SetParameter(18,norm);//0.013531
    lm24->SetMinimum(0);
    //
    cout<<endl<<"Value of the formula in SM point: 0.013531 pb"<<a[0]<<endl;
    cout<<"teste funcao cg , c2g : 0,0 "<< lm24->Eval(0,1)<<endl;
    cout<<"teste funcao cg , c2g : -1,1  "<<  lm24->Eval(-1,1)<<endl;
    cout<<"teste funcao cg , c2g : 1,-1  "<<  lm24->Eval(-1,1)<<endl;
    cout<<" "<<endl;
    ////////////////////////////////
    kt5d=1.0;
    kl5d=-5.0;
    c25d=0.0;
    // cg ===> x ==> c2
    // c2g ===> y ==> kt
    TF2 *lm5 = new TF2("lm5","([0]*y**4 + [1]*x**2 + [2]*y**2*[16]**2 + [3]*[17]**2*[16]**2 +  [4]*[15]**2 + [5]*x*y**2 + [6]*y*[16]*y**2 + [7]*y*[16]*x + [8]*[17]*[16]*x + [9]*x*[15] + [10]*[17]*[16]*y**2 + [11]*[15]*y**2 + [12]*[16]*[17]*y*[16] + [13]*[15]*y*[16] + [14]*[17]*[15]*[16])/[18]",-4,4,0.5,2.5);
    lm5->SetParameter(0,a[0]);
    lm5->SetParameter(1,a[1]);
    lm5->SetParameter(2,a[2]);    
    lm5->SetParameter(3,a[3]);
    lm5->SetParameter(4,a[4]);
    lm5->SetParameter(5,a[5]); 
    lm5->SetParameter(6,a[6]);
    lm5->SetParameter(7,a[7]);
    lm5->SetParameter(8,a[8]); 
    lm5->SetParameter(9,a[9]);
    lm5->SetParameter(10,a[10]);
    lm5->SetParameter(11,a[11]); 
    lm5->SetParameter(12,a[12]);    
    lm5->SetParameter(13,a[13]);
    lm5->SetParameter(14,a[14]);
    lm5->SetTitle("");
    lm5->SetParameter(15,c2g); //==> c2g
    lm5->SetParameter(16,kl5d);
    lm5->SetParameter(17,cg); //==> cg
    lm5->SetParameter(18,norm);//0.013531
    lm5->SetMinimum(0);
    //
    cout<<endl<<"Value of the formula in SM point: 0.013531 pb"<<a[0]<<endl;
    cout<<"teste funcao cg , c2g : 0,0 "<< lm5->Eval(0,1)<<endl;
    cout<<"teste funcao cg , c2g : -1,1  "<<  lm5->Eval(-1,1)<<endl;
    cout<<"teste funcao cg , c2g : 1,-1  "<<  lm5->Eval(-1,1)<<endl;
    cout<<" "<<endl;
    ////////////////////////////////
    kt5d=1.0;
    kl5d=-10.0;
    c25d=0.0;
    // cg ===> x ==> c2
    // c2g ===> y ==> kt
    TF2 *lm10 = new TF2("lm10","([0]*y**4 + [1]*x**2 + [2]*y**2*[16]**2 + [3]*[17]**2*[16]**2 +  [4]*[15]**2 + [5]*x*y**2 + [6]*y*[16]*y**2 + [7]*y*[16]*x + [8]*[17]*[16]*x + [9]*x*[15] + [10]*[17]*[16]*y**2 + [11]*[15]*y**2 + [12]*[16]*[17]*y*[16] + [13]*[15]*y*[16] + [14]*[17]*[15]*[16])/[18]",-4,4,0.5,2.5);
    lm10->SetParameter(0,a[0]);
    lm10->SetParameter(1,a[1]);
    lm10->SetParameter(2,a[2]);    
    lm10->SetParameter(3,a[3]);
    lm10->SetParameter(4,a[4]);
    lm10->SetParameter(5,a[5]); 
    lm10->SetParameter(6,a[6]);
    lm10->SetParameter(7,a[7]);
    lm10->SetParameter(8,a[8]); 
    lm10->SetParameter(9,a[9]);
    lm10->SetParameter(10,a[10]);
    lm10->SetParameter(11,a[11]); 
    lm10->SetParameter(12,a[12]);    
    lm10->SetParameter(13,a[13]);
    lm10->SetParameter(14,a[14]);
    lm10->SetTitle("");
    lm10->SetParameter(15,c2g); //==> c2g
    lm10->SetParameter(16,kl5d);
    lm10->SetParameter(17,cg); //==> cg
    lm10->SetParameter(18,norm);//0.013531
    lm10->SetMinimum(0);
    //
    cout<<endl<<"Value of the formula in SM point: 0.013531 pb"<<a[0]<<endl;
    cout<<"teste funcao cg , c2g : 0,0 "<< lm10->Eval(0,1)<<endl;
    cout<<"teste funcao cg , c2g : -1,1  "<<  lm10->Eval(-1,1)<<endl;
    cout<<"teste funcao cg , c2g : 1,-1  "<<  lm10->Eval(-1,1)<<endl;
    cout<<" "<<endl;
    ///////////////////////////////////////////////////////////////
    // Draw this function in pad1 with Gouraud shading option
    TCanvas *c1 = new TCanvas("c1","Surfaces Drawing Options",1500,2500);
    const int Number = 3;
    Double_t Red[Number]    = { 1.00, 0.00, 0.00};
    Double_t Green[Number]  = { 0.00, 1.00, 0.00};
    Double_t Blue[Number]   = { 1.00, 0.00, 1.00};
    Double_t Length[Number] = { 0.00, 0.50, 1.00 };
    Int_t nb=30;
    TColor::CreateGradientColorTable(Number,Length,Red,Green,Blue,nb);
    ////////////////////////////
    TLatex* text = new TLatex();
    text->SetTextSize(0.09);
    c1->SetLogz(0);
    //////////////////////////////////////
    /*
    c1->Divide(3,4);   
    c1->cd(1);
    //c1_1->SetLogz();
    //c1->SetTicks(0,0);
    //c1->SetRightMargin(0.15);
    //c1->SetLeftMargin(0.15);
    //c1->SetBottomMargin(0.02);
    fg2->Draw("colz1");
    text->DrawLatex(-0.85,-0.8,"#kappa_{#lambda} = 1, #kappa_{t} = 1,  c_{2} = 0");
    //-----------------
    c1->cd(2);
    //c1_1->SetLogz();
    //c1_2->SetTicks(0,0);
    //c1_2->SetRightMargin(0.15);
    //c1_2->SetLeftMargin(0.15);
    //c1_2->SetBottomMargin(0.02);
    fg10->Draw("colz1");
    text->DrawLatex(-0.85,-0.8,"#kappa_{#lambda} = 10, #kappa_{t} = 1,  c_{2} = 0");
    //-----------------
    c1->cd(3);
    //c1_1->SetLogz();
    //c1_2->SetTicks(0,0);
    //c1_2->SetRightMargin(0.15);
    //c1_2->SetLeftMargin(0.15);
    //c1_2->SetBottomMargin(0.02);
    fgm10->Draw("colz1");
    text->DrawLatex(-0.85,-0.8,"#kappa_{#lambda} = -10, #kappa_{t} = 1,  c_{2} = 0");
    //text->SetTextSize(0.08);
    //text->SetTextColor(0);
    //text->DrawLatex(-0.85.,-0.8,"#kappa_{#lambda} = 2.4, #kappa_{t} = 1,  c_{2} = 0");
    c1->cd(4);
    //c1_1->SetLogz();
    //c1_2->SetTicks(0,0);
    //c1_2->SetRightMargin(0.15);
    //c1_2->SetLeftMargin(0.15);
    //c1_2->SetBottomMargin(0.02);
    SM0->Draw("colz1");
    text->DrawLatex(-3.,0.7,"c_{2} = c_{g}  = c_{2} = 0");  
    //text->SetTextSize(0.08);
    //text->SetTextColor(0);
    //text->DrawLatex(-0.85.,-0.8,"#kappa_{#lambda} = 2.4, #kappa_{t} = 1,  c_{2} = 0");
    c1->cd(5);
    //c1_5->SetTicks(0,0);
    //c1_2->SetRightMargin(0.15);
    //c1_2->SetLeftMargin(0.15);
    //c1_2->SetBottomMargin(0.02);
    l1->Draw("colz1");
    text->DrawLatex(-3.,0.7,"#kappa_{#lambda} = 1, c_{g}  = c_{2} = 0");  
    c1->cd(6);
    //c1_5->SetTicks(0,0);
    //c1_2->SetRightMargin(0.15);
    //c1_2->SetLeftMargin(0.15);
    //c1_2->SetBottomMargin(0.02);
    l0->Draw("colz1");
    text->DrawLatex(-3.,0.7,"#kappa_{#lambda} = c_{g}  = c_{2} = 0");  
    //text->SetTextSize(0.08);
    //text->SetTextColor(0);
    //text->DrawLatex(-0.85.,-0.8,"#kappa_{#lambda} = 2.4, #kappa_{t} = 1,  c_{2} = 0");   
    c1->cd(7);
    //c1_5->SetTicks(0,0);
    //c1_2->SetRightMargin(0.15);
    //c1_2->SetLeftMargin(0.15);
    //c1_2->SetBottomMargin(0.02);
    l24->Draw("colz");
    text->DrawLatex(-3.,0.7,"#kappa_{#lambda} = 2.4, c_{g}  = c_{2} = 0");  
    //text->SetTextSize(0.08);
    //text->SetTextColor(0);
    //text->DrawLatex(-0.85.,-0.8,"#kappa_{#lambda} = 2.4, #kappa_{t} = 1,  c_{2} = 0");  
    c1->cd(8);
    //c1_5->SetTicks(0,0);
    //c1_2->SetRightMargin(0.15);
    //c1_2->SetLeftMargin(0.15);
    //c1_2->SetBottomMargin(0.02);
    l5->Draw("colz1");
    text->DrawLatex(-3.,0.7,"#kappa_{#lambda} = 5, c_{g}  = c_{2} = 0");  
    //text->SetTextSize(0.08);
    //text->SetTextColor(0);
    //text->DrawLatex(-0.85.,-0.8,"#kappa_{#lambda} = 2.4, #kappa_{t} = 1,  c_{2} = 0");  
    c1->cd(9);
    //c1_5->SetTicks(0,0);
    //c1_2->SetRightMargin(0.15);
    //c1_2->SetLeftMargin(0.15);
    //c1_2->SetBottomMargin(0.02);
    l10->Draw("colz1");
    text->DrawLatex(-3.,0.7,"#kappa_{#lambda} = 10, c_{g}  = c_{2} = 0");  
    //text->DrawLatex(-3,1,"SM plane in log scale");
    //text->SetTextSize(0.08);
    //text->SetTextColor(0);
    //text->DrawLatex(-0.85.,-0.8,"#kappa_{#lambda} = 2.4, #kappa_{t} = 1,  c_{2} = 0");  
    c1->cd(10);
    //c1_5->SetTicks(0,0);
    //c1_2->SetRightMargin(0.15);
    //c1_2->SetLeftMargin(0.15);
    //c1_2->SetBottomMargin(0.02);
    lm24->Draw("colz1");
    text->DrawLatex(-3.,0.7,"#kappa_{#lambda} = -2.4, c_{g}  = c_{2} = 0");  
    c1->cd(11);
    //c1_5->SetTicks(0,0);
    //c1_2->SetRightMargin(0.15);
    //c1_2->SetLeftMargin(0.15);
    //c1_2->SetBottomMargin(0.02);
    lm5->Draw("colz1");
    text->DrawLatex(-3.,0.7,"#kappa_{#lambda} = -5, c_{g}  = c_{2} = 0");  
    c1->cd(12);
    //c1_5->SetTicks(0,0);
    //c1_2->SetRightMargin(0.15);
    //c1_2->SetLeftMargin(0.15);
    //c1_2->SetBottomMargin(0.02);
    lm10->Draw("colz1");
    //text->DrawLatex(-3,1,"SM plane in log scale");
    //text->SetTextSize(0.08);
    //text->SetTextColor(0);
    text->DrawLatex(-3.,0.7,"#kappa_{#lambda} = -10, c_{g}  = c_{2} = 0");  
    c1->SaveAs("C2Fit.pdf");
    c1->Close();
     */
    //////////////////////////////////////////////////
    //
    // do histrograms with errors
    //
    // plot (point - fit)/fit between int nmintest, int nmaxtest
    // do by the planes
    //////////////////////////////////////////////////
    // take the fit
    // need to be done by planes
    //c1->Clear();
    // a
    double SMxs =  0.013531; // 1 0.017278;// 14 0.0041758;// 8tev 0.013531; // 13 tev 0.017278;// 0.0041758;
    TGraph2D *g2 = new TGraph2D(117);//(118);
    g2->SetMarkerStyle(20);
    g2->SetMarkerSize(2);
    g2->SetTitle("0");
    g2->SetTitle("#kappa_{t} = #kappa_{#lambda} = 1 , c_{2} = 0 ; c_{g} ; c_{2g}");
    int j=0;
    for (unsigned int ij = 0; ij < nmaxx ; ij++) if( par1[ij] ==1 && par0[ij] ==1 && par2[ij]==0 && cross_section[ij] >0.0001) if(ij!=301) {
        double fit = SMxs*(fg2->Eval(par3[ij], par4[ij]));
        cout<<j<<" "<< par3[ij]<<" "<< par4[ij]<<" "<<fit <<" "<< cross_section[ij]<<" diff: " <<(fit - cross_section[ij])/fit<< endl;
        g2->SetPoint(j, par3[ij], par4[ij], 100*(fit - cross_section[ij])/fit); 
        j++;
        //Differences2->Fill(par3[i], par4[i], (fit - cross_section[i])/fit); 
    }
    // b 
    ////////////////////////////////
    int ktb=1.0;
    int klb=1.0;
    // cg ===> x ==> c2
    // c2g ===> y ==> kt ==> cg = c2g
    TF2 *pb = new TF2("pb","([0]*[15]**4 + [1]*x**2 + [2]*[15]**2*[16]**2 + [3]*y**2*[16]**2 +  [4]*y**2 + [5]*x*[15]**2 + [6]*[15]*[16]*[15]**2 + [7]*[15]*[16]*x + [8]*y*[16]*x - [9]*x*y + [10]*y*[16]*[15]**2 - [11]*y*[15]**2 + [12]*[16]*y*[15]*[16] - [13]*y*[15]*[16] - [14]*y*y*[16])/[17]",-3,3,-1,1);
    pb->SetParameter(0,a[0]);
    pb->SetParameter(1,a[1]);
    pb->SetParameter(2,a[2]);    
    pb->SetParameter(3,a[3]);
    pb->SetParameter(4,a[4]);
    pb->SetParameter(5,a[5]); 
    pb->SetParameter(6,a[6]);
    pb->SetParameter(7,a[7]);
    pb->SetParameter(8,a[8]); 
    pb->SetParameter(9,a[9]);
    pb->SetParameter(10,a[10]);
    pb->SetParameter(11,a[11]); 
    pb->SetParameter(12,a[12]);    
    pb->SetParameter(13,a[13]);
    pb->SetParameter(14,a[14]);
    pb->SetTitle("#kappa_{t} = #kappa_{#lambda} = 1 , c_{2g} = - c_{g} ; c_{2} ; c_{g}");
    pb->SetParameter(15,ktb); //==> c2g ==>kt
    pb->SetParameter(16,klb);
    pb->SetContour(200);
    //l5->SetParameter(17,cg); //==> cg
    pb->SetParameter(17,norm);//0.013531
    //pb->SetMinimum(0);
    TGraph2D *gb = new TGraph2D(132);//(118);
    gb->SetMarkerStyle(20);
    gb->SetMarkerSize(2);
    //gb->SetTitle("0");
    gb->SetTitle("#kappa_{t} = #kappa_{#lambda} = 1 , c_{2g} = - c_{g} ; c_{2} ; c_{g}");
    int jb=0;
    for (unsigned int ijb = 0; ijb < nmaxx ; ijb++) if( par1[ijb] ==1 && par0[ijb] ==1 && par3[ijb] == -par4[ijb] && cross_section[ijb] >0.0001) {
        double fitb = SMxs*(pb->Eval(par2[ijb], par3[ijb]));
        cout<<jb<<" "<<ijb<<" "<< par2[ijb]<<" "<< par4[ijb]<<" "<<fitb <<" "<< cross_section[ijb]<<" diff: " <<(fitb - cross_section[ijb])/fitb<< endl;
        if (abs((fitb - cross_section[ijb])/fitb) > 0.1) cout<<"here"<<endl;
        gb->SetPoint(jb, par2[ijb], par4[ijb], 100*((fitb - cross_section[ijb])/fitb)); 
        jb++;
        //Differences2->Fill(par3[i], par4[i], (fit - cross_section[i])/fit); 
    }
    //////////////////////////////////////////////
    // c
    ////////////////////////////////
    int ktc=1.0;
    int c2c=0.0;//==>c2
    // cg ===> x ==> c2 =//=>kl
    // c2g ===> y ==> kt ==> c2g = -cg 
    TF2 *pc = new TF2("pb","([0]*[15]**4 + [1]*[16]**2 + [2]*[15]**2*x**2 + [3]*y**2*x**2 +  [4]*y**2 + [5]*[16]*[15]**2 + [6]*[15]*x*[15]**2 + [7]*[15]*x*[16] + [8]*y*x*[16] - [9]*[16]*y + [10]*y*x*[15]**2 - [11]*y*[15]**2 + [12]*x*y*[15]*x - [13]*y*[15]*x - [14]*y*y*x)/[17]",-17,17,-1,1);
    pc->SetParameter(0,a[0]);
    pc->SetParameter(1,a[1]);
    pc->SetParameter(2,a[2]);    
    pc->SetParameter(3,a[3]);
    pc->SetParameter(4,a[4]);
    pc->SetParameter(5,a[5]); 
    pc->SetParameter(6,a[6]);
    pc->SetParameter(7,a[7]);
    pc->SetParameter(8,a[8]); 
    pc->SetParameter(9,a[9]);
    pc->SetParameter(10,a[10]);
    pc->SetParameter(11,a[11]); 
    pc->SetParameter(12,a[12]);    
    pc->SetParameter(13,a[13]);
    pc->SetParameter(14,a[14]);
    pc->SetTitle("#kappa_{t} = 1 , c2 = 0 , c_{2g} = - c_{g} ; #kappa_{#lambda} ; c_{g}");
    pc->SetParameter(15,ktc); //==> c2g ==>kt
    pc->SetParameter(16,c2c);// ==>c2
    //l5->SetParameter(17,cg); //==> cg
    pc->SetParameter(17,norm);//0.013531
    //pc->SetMinimum(0);
    pc->SetContour(200);
    TGraph2D *gc = new TGraph2D(125);//(118);
    gc->SetMarkerStyle(20);
    gc->SetMarkerSize(2);
    gc->SetTitle("#kappa_{t} = 1 , c2 = 0 , c_{2g} = - c_{g} ; #kappa_{#lambda} ; c_{g}");
  //  gc->GetYaxis()->SetTitle("c_{g}");
  //  gc->GetXaxis()->SetTitle("#kappa_{#lambda}");
    int jc=0;
    for (unsigned int ijb = 0; ijb < nmaxx ; ijb++) if( par1[ijb] ==1 && par2[ijb] ==0 && par3[ijb] == -par4[ijb]  && cross_section[ijb] >0.0001 && par3[ijb] >-1.5) { //&& abs(par0[ijb]) <6
        double fitc = SMxs*(pc->Eval(par0[ijb], par3[ijb]));
        //cout<<jb<<" "<<ijb<<" "<< par0[ijb]<<" "<< par4[ijb]<<" "<<fitc <<" "<< cross_section[ijb]<<" diff: " <<(fitc - cross_section[ijb])/fitc<< endl;
        if (abs((fitc - cross_section[ijb])/fitc) > 0.1) cout<<"here"<<endl;
        gc->SetPoint(jc, par0[ijb], par3[ijb], 100*((fitc - cross_section[ijb])/fitc)); 
        jc++;
        //Differences2->Fill(par3[i], par4[i], (fit - cross_section[i])/fit); 
    }
    //////////////////////////////////
    // d -- SM plane
    //SM0->Eval(1,1)
    // cg ===> x  ===> kl
    // c2g ===> y ===> kt
    TGraph2D *gSM = new TGraph2D(112);//(118);
    gSM->SetMarkerStyle(20);
    gSM->SetMarkerSize(2);
    gSM->SetTitle("0");
    gSM->SetTitle("c_{2} = c_{2g} = c_{g} = 0 ; #kappa_{#lambda} ; #kappa_{t}");
    int jSM=0;
    for (unsigned int ii = 0; ii < nmaxx ; ii++) if( par2[ii] ==0 && par3[ii] ==0 && par4[ii]==0 && cross_section[ii] >0.00001 &&  cross_section[ii] <10000 && par1[ii] >0.3 && ii!=301) {
        double fitSM = SMxs*(SM0->Eval(par0[ii], par1[ii]));
        //{
        //cout<<" SM plane"<<jSM<<" "<<ii<<" " << par0[ii]<<" "<< par1[ii]<<" "<<fitSM <<" "<< cross_section[ii]<<" diff: " <<(fitSM - cross_section[ii])/fitSM<< endl;
        if (abs((fitSM - cross_section[ii])/fitSM) > 0.1) cout<<"here"<<endl;
        gSM->SetPoint(jSM, par0[ii], par1[ii], 100*(fitSM - cross_section[ii])/fitSM); 
        jSM++;
        //}
        //Differences2->Fill(par3[i], par4[i], (fit - cross_section[i])/fit); 
    }    
    //////////////////////////////////
    // e -- SM plane
    //SM0->Eval(1,1)
    // cg ===> x  ===> c2
    // c2g ===> y ===> kt
    TGraph2D *gSMc2 = new TGraph2D(62);//(118);//57 13 tev
    gSMc2->SetMarkerStyle(20);
    gSMc2->SetMarkerSize(2);
    //gSMc2->SetTitle("0");
    gSMc2->SetTitle("#kappa_{#lambda} =1 , c_{2g} = c_{g} = 0 ; c_{2} ; #kappa_{t}");
    int jSMc2=0;
    for (unsigned int ii = 0; ii < nmaxx ; ii++) if( par0[ii] ==1 && par3[ii] ==0 && par4[ii]==0 && cross_section[ii] >0.00001 &&  cross_section[ii] <10000 && par1[ii] >0.25 ) if(ii!=301){
        double fitSM = SMxs*(l1->Eval(par2[ii], par1[ii]));
        //{
        cout<<jSMc2<<" "<<ii<<" " << par2[ii]<<" "<< par1[ii]<<" "<<fitSM <<" "<< cross_section[ii]<<" diff: " <<(fitSM - cross_section[ii])/fitSM<< endl;
        if (abs((fitSM - cross_section[ii])/fitSM) > 0.1) cout<<"here"<<endl;
        gSMc2->SetPoint(jSMc2, par2[ii], par1[ii], 100*(fitSM - cross_section[ii])/fitSM); 
        jSMc2++;
        //}
        //Differences2->Fill(par3[i], par4[i], (fit - cross_section[i])/fit); 
    }   
    ////////////////////////////////
    // f = cg =0
    int ktf=1.0;
    int klf=1.0;
    // cg ===> x ==> c2
    // c2g ===> y ==> kt ==> cg = c2g
    TF2 *pf = new TF2("pf","([0]*[15]**4 + [1]*x**2 + [2]*[15]**2*[16]**2 +  [4]*y**2 + [5]*x*[15]**2 + [6]*[15]*[16]*[15]**2 + [7]*[15]*[16]*x + [9]*x*y + [11]*y*[15]**2  + [13]*y*[15]*[16])/[17]",-3,3,-1,1);
    pf->SetParameter(0,a[0]);
    pf->SetParameter(1,a[1]);
    pf->SetParameter(2,a[2]);    
    pf->SetParameter(3,a[3]);
    pf->SetParameter(4,a[4]);
    pf->SetParameter(5,a[5]); 
    pf->SetParameter(6,a[6]);
    pf->SetParameter(7,a[7]);
    pf->SetParameter(8,a[8]); 
    pf->SetParameter(9,a[9]);
    pf->SetParameter(10,a[10]);
    pf->SetParameter(11,a[11]); 
    pf->SetParameter(12,a[12]);    
    pf->SetParameter(13,a[13]);
    pf->SetParameter(14,a[14]);
    pf->SetTitle("#kappa_{t} = #kappa_{#lambda} = 1 , c_{g} = 0 ; c_{2} ; c_{2g}");
    //pf->SetTitleSize(0.3);
    pf->SetParameter(15,ktf); //==> c2g ==>kt
    pf->SetParameter(16,klf);
    pf->SetContour(200);
    //l5->SetParameter(17,cg); //==> cg
    pf->SetParameter(17,norm);//0.013531
    //pb->SetMinimum(0);
    TGraph2D *gf = new TGraph2D(132);//(118);
    gf->SetMarkerStyle(20);
    gf->SetMarkerSize(2);
    //gb->SetTitle("0");
    gf->SetTitle("#kappa_{t} = #kappa_{#lambda} = 1 , c_{g} = 0 ; c_{2} ; c_{2g}");
    int jf=0;
    for (unsigned int ijb = 0; ijb < nmaxx ; ijb++) if( par1[ijb] ==1 && par0[ijb] ==1 && par3[ijb] == 0 && cross_section[ijb] >0.0001) {
        double fitb = SMxs*(pf->Eval(par2[ijb], par4[ijb]));
        cout<<jf<<" "<<ijb<<" "<< par2[ijb]<<" "<< par4[ijb]<<" "<<fitb <<" "<< cross_section[ijb]<<" diff: " <<(fitb - cross_section[ijb])/fitb<< endl;
        if (abs((fitb - cross_section[ijb])/fitb) > 0.1) cout<<"here"<<endl;
        gf->SetPoint(jf, par2[ijb], par4[ijb], 100*((fitb - cross_section[ijb])/fitb)); 
        jf++;
        //Differences2->Fill(par3[i], par4[i], (fit - cross_section[i])/fit); 
    }
    //////////////////////////////////////////////
    // rest square
    TCanvas *c2 = new TCanvas("c2","Surfaces Drawing Options",700,2200);
    c2->Divide(2,3);   
    c2->cd(1);
    c2_1->SetRightMargin(0.17);
    c2_1->SetLeftMargin(0.21);
    //c2->cd();
    c2_1->SetTheta(90.0-0.001);
    c2_1->SetPhi(0.0+0.001);
    gSM->Draw("Pcolz");
    //fg2->Draw("cont3SAME");
    c2->cd(2);
    c2_2->SetRightMargin(0.2);
    c2_2->SetLeftMargin(0.21);
    c2_2->SetTheta(90.0-0.001);
    c2_2->SetPhi(0.0+0.001);
    gSMc2->Draw("Pcolz");
    //SM0->Draw("cont3SAME");
    c2->cd(3);
    c2_3->SetRightMargin(0.2);
    c2_3->SetLeftMargin(0.21);
    c2_3->SetTheta(90.0-0.001);
    c2_3->SetPhi(0.0+0.001);
    gb->Draw("Pcolz");
    //pb->Draw("cont3SAME");
    c2->cd(4);
    c2_4->SetRightMargin(0.2);
    c2_4->SetLeftMargin(0.21);
    c2_4->SetTheta(90.0-0.001);
    c2_4->SetPhi(0.0+0.001);
    gc->Draw("Pcolz");
    //pc->Draw("cont3SAME");
    c2->cd(5);
    c2_5->SetRightMargin(0.2);
    c2_5->SetLeftMargin(0.21);
    c2_5->SetTheta(90.0-0.001);
    c2_5->SetPhi(0.0+0.001);
    
    g2->Draw("Pcolz");
    //
    c2->cd(6);
    c2_6->SetRightMargin(0.2);
    c2_6->SetLeftMargin(0.21);
    c2_6->SetTheta(90.0-0.001);
    c2_6->SetPhi(0.0+0.001);
    gf->Draw("Pcolz");
    c2->SaveAs("DiffSMplane_all_orthogonal_13tev.pdf");
    //////////////////////////////////////////////
    // rest square
    TCanvas *c3 = new TCanvas("c3","Surfaces Drawing Options",2200,700);
    c3->Divide(3,2); 
    c3->cd(1);
    c3_1->SetLogz(1);
    c3_1->SetLeftMargin(0.19);
    c3_1->SetBottomMargin(0.19);
    c3_1->SetRightMargin(0.2);
    //c2->cd();
    //g2->Draw("Pcolz");
    SM0->Draw("colz");
    
    c3->cd(2);
    c3_2->SetLogz(1);
    c3_2->SetRightMargin(0.19);
    c3_2->SetBottomMargin(0.19);
    c3_2->SetLeftMargin(0.21);
    //gSM->Draw("Pcolz");
    l1->Draw("colz");
    //c3_2->SetRightMargin(0.2);
    c3->cd(3);
    c3_3->SetLogz(1);
    c3_3->SetRightMargin(0.17);
    c3_3->SetBottomMargin(0.19);
    c3_3->SetLeftMargin(0.21);
    //gb->Draw("Pcolz");
    pb->Draw("colz");
    c3->cd(4);
    c3_4->SetLogz(1);
    c3_4->SetRightMargin(0.16);
    c3_4->SetBottomMargin(0.19);
    c3_4->SetLeftMargin(0.21);
    //gc->Draw("Pcolz");
    pc->Draw("colz");
    c3->cd(5);
    c3_5->SetLogz(1);
    c3_5->SetRightMargin(0.19);
    c3_5->SetBottomMargin(0.19);
    c3_5->SetLeftMargin(0.21);
    //gSMc2->Draw("Pcolz");
    
    fg2->Draw("colz");
    c3->cd(6);
    c3_6->SetLogz(1);
    c3_6->SetRightMargin(0.19);
    c3_6->SetBottomMargin(0.19);
    c3_6->SetLeftMargin(0.21);
    //gSMc2->Draw("Pcolz");
    pf->Draw("colz");
    
    c3->SaveAs("CX_all_orthogonal_13tev.pdf");
    //////////////////////////////////////////////
    
    /*  TGraph *gall = new TGraph(nmaxx - nminx);
    gall->SetMarkerStyle(20);
    gall->SetMarkerSize(2);
    gall->SetTitle("0");
    for (unsigned int i = 0; i < nmaxx - nminx; i++) if( par1[i] ==1 && par0[i] ==1 && par2[i]==0 ) {
        double fit = fg2->Eval(par3[i], par4[i]);
        cout<< par3[i]<<" "<< par4[i]<<" "<< (fit - cross_section[i])/fit<< endl;
        g2->SetPoint(i, par3[i], par4[i], (fit - cross_section[i])/fit); 
        //Differences2->Fill(par3[i], par4[i], (fit - cross_section[i])/fit); 
    }*/
    



    
}
Esempio n. 5
0
void rs101_limitexample()
{
    // --------------------------------------
    // An example of setting a limit in a number counting experiment with uncertainty on background and signal

    // to time the macro
    TStopwatch t;
    t.Start();

    // --------------------------------------
    // The Model building stage
    // --------------------------------------
    RooWorkspace* wspace = new RooWorkspace();
    wspace->factory("Poisson::countingModel(obs[150,0,300], sum(s[50,0,120]*ratioSigEff[1.,0,3.],b[100]*ratioBkgEff[1.,0.,3.]))"); // counting model
    //  wspace->factory("Gaussian::sigConstraint(ratioSigEff,1,0.05)"); // 5% signal efficiency uncertainty
    //  wspace->factory("Gaussian::bkgConstraint(ratioBkgEff,1,0.1)"); // 10% background efficiency uncertainty
    wspace->factory("Gaussian::sigConstraint(gSigEff[1,0,3],ratioSigEff,0.05)"); // 5% signal efficiency uncertainty
    wspace->factory("Gaussian::bkgConstraint(gSigBkg[1,0,3],ratioBkgEff,0.2)"); // 10% background efficiency uncertainty
    wspace->factory("PROD::modelWithConstraints(countingModel,sigConstraint,bkgConstraint)"); // product of terms
    wspace->Print();

    RooAbsPdf* modelWithConstraints = wspace->pdf("modelWithConstraints"); // get the model
    RooRealVar* obs = wspace->var("obs"); // get the observable
    RooRealVar* s = wspace->var("s"); // get the signal we care about
    RooRealVar* b = wspace->var("b"); // get the background and set it to a constant.  Uncertainty included in ratioBkgEff
    b->setConstant();

    RooRealVar* ratioSigEff = wspace->var("ratioSigEff"); // get uncertain parameter to constrain
    RooRealVar* ratioBkgEff = wspace->var("ratioBkgEff"); // get uncertain parameter to constrain
    RooArgSet constrainedParams(*ratioSigEff, *ratioBkgEff); // need to constrain these in the fit (should change default behavior)

    RooRealVar * gSigEff = wspace->var("gSigEff");     // global observables for signal efficiency
    RooRealVar * gSigBkg = wspace->var("gSigBkg");  // global obs for background efficiency
    gSigEff->setConstant();
    gSigBkg->setConstant();

    // Create an example dataset with 160 observed events
    obs->setVal(160.);
    RooDataSet* data = new RooDataSet("exampleData", "exampleData", RooArgSet(*obs));
    data->add(*obs);

    RooArgSet all(*s, *ratioBkgEff, *ratioSigEff);

    // not necessary
    modelWithConstraints->fitTo(*data, RooFit::Constrain(RooArgSet(*ratioSigEff, *ratioBkgEff)));

    // Now let's make some confidence intervals for s, our parameter of interest
    RooArgSet paramOfInterest(*s);

    ModelConfig modelConfig(wspace);
    modelConfig.SetPdf(*modelWithConstraints);
    modelConfig.SetParametersOfInterest(paramOfInterest);
    modelConfig.SetNuisanceParameters(constrainedParams);
    modelConfig.SetObservables(*obs);
    modelConfig.SetGlobalObservables( RooArgSet(*gSigEff,*gSigBkg));
    modelConfig.SetName("ModelConfig");
    wspace->import(modelConfig);
    wspace->import(*data);
    wspace->SetName("w");
    wspace->writeToFile("rs101_ws.root");



    // First, let's use a Calculator based on the Profile Likelihood Ratio
    //ProfileLikelihoodCalculator plc(*data, *modelWithConstraints, paramOfInterest);
    ProfileLikelihoodCalculator plc(*data, modelConfig);
    plc.SetTestSize(.05);
    ConfInterval* lrinterval = plc.GetInterval();  // that was easy.

    // Let's make a plot
    TCanvas* dataCanvas = new TCanvas("dataCanvas");
    dataCanvas->Divide(2,1);

    dataCanvas->cd(1);
    LikelihoodIntervalPlot plotInt((LikelihoodInterval*)lrinterval);
    plotInt.SetTitle("Profile Likelihood Ratio and Posterior for S");
    plotInt.Draw();

    // Second, use a Calculator based on the Feldman Cousins technique
    FeldmanCousins fc(*data, modelConfig);
    fc.UseAdaptiveSampling(true);
    fc.FluctuateNumDataEntries(false); // number counting analysis: dataset always has 1 entry with N events observed
    fc.SetNBins(100); // number of points to test per parameter
    fc.SetTestSize(.05);
    //  fc.SaveBeltToFile(true); // optional
    ConfInterval* fcint = NULL;
    fcint = fc.GetInterval();  // that was easy.

    RooFitResult* fit = modelWithConstraints->fitTo(*data, Save(true));

    // Third, use a Calculator based on Markov Chain monte carlo
    // Before configuring the calculator, let's make a ProposalFunction
    // that will achieve a high acceptance rate
    ProposalHelper ph;
    ph.SetVariables((RooArgSet&)fit->floatParsFinal());
    ph.SetCovMatrix(fit->covarianceMatrix());
    ph.SetUpdateProposalParameters(true);
    ph.SetCacheSize(100);
    ProposalFunction* pdfProp = ph.GetProposalFunction();  // that was easy

    MCMCCalculator mc(*data, modelConfig);
    mc.SetNumIters(20000); // steps to propose in the chain
    mc.SetTestSize(.05); // 95% CL
    mc.SetNumBurnInSteps(40); // ignore first N steps in chain as "burn in"
    mc.SetProposalFunction(*pdfProp);
    mc.SetLeftSideTailFraction(0.5);  // find a "central" interval
    MCMCInterval* mcInt = (MCMCInterval*)mc.GetInterval();  // that was easy


    // Get Lower and Upper limits from Profile Calculator
    cout << "Profile lower limit on s = " << ((LikelihoodInterval*) lrinterval)->LowerLimit(*s) << endl;
    cout << "Profile upper limit on s = " << ((LikelihoodInterval*) lrinterval)->UpperLimit(*s) << endl;

    // Get Lower and Upper limits from FeldmanCousins with profile construction
    if (fcint != NULL) {
        double fcul = ((PointSetInterval*) fcint)->UpperLimit(*s);
        double fcll = ((PointSetInterval*) fcint)->LowerLimit(*s);
        cout << "FC lower limit on s = " << fcll << endl;
        cout << "FC upper limit on s = " << fcul << endl;
        TLine* fcllLine = new TLine(fcll, 0, fcll, 1);
        TLine* fculLine = new TLine(fcul, 0, fcul, 1);
        fcllLine->SetLineColor(kRed);
        fculLine->SetLineColor(kRed);
        fcllLine->Draw("same");
        fculLine->Draw("same");
        dataCanvas->Update();
    }

    // Plot MCMC interval and print some statistics
    MCMCIntervalPlot mcPlot(*mcInt);
    mcPlot.SetLineColor(kMagenta);
    mcPlot.SetLineWidth(2);
    mcPlot.Draw("same");

    double mcul = mcInt->UpperLimit(*s);
    double mcll = mcInt->LowerLimit(*s);
    cout << "MCMC lower limit on s = " << mcll << endl;
    cout << "MCMC upper limit on s = " << mcul << endl;
    cout << "MCMC Actual confidence level: "
         << mcInt->GetActualConfidenceLevel() << endl;

    // 3-d plot of the parameter points
    dataCanvas->cd(2);
    // also plot the points in the markov chain
    RooDataSet * chainData = mcInt->GetChainAsDataSet();

    assert(chainData);
    std::cout << "plotting the chain data - nentries = " << chainData->numEntries() << std::endl;
    TTree* chain =  RooStats::GetAsTTree("chainTreeData","chainTreeData",*chainData);
    assert(chain);
    chain->SetMarkerStyle(6);
    chain->SetMarkerColor(kRed);

    chain->Draw("s:ratioSigEff:ratioBkgEff","nll_MarkovChain_local_","box"); // 3-d box proportional to posterior

    // the points used in the profile construction
    RooDataSet * parScanData = (RooDataSet*) fc.GetPointsToScan();
    assert(parScanData);
    std::cout << "plotting the scanned points used in the frequentist construction - npoints = " << parScanData->numEntries() << std::endl;
    // getting the tree and drawing it -crashes (very strange....);
    // TTree* parameterScan =  RooStats::GetAsTTree("parScanTreeData","parScanTreeData",*parScanData);
    // assert(parameterScan);
    // parameterScan->Draw("s:ratioSigEff:ratioBkgEff","","goff");
    TGraph2D *gr = new TGraph2D(parScanData->numEntries());
    for (int ievt = 0; ievt < parScanData->numEntries(); ++ievt) {
        const RooArgSet * evt = parScanData->get(ievt);
        double x = evt->getRealValue("ratioBkgEff");
        double y = evt->getRealValue("ratioSigEff");
        double z = evt->getRealValue("s");
        gr->SetPoint(ievt, x,y,z);
        // std::cout << ievt << "  " << x << "  " << y << "  " << z << std::endl;
    }
    gr->SetMarkerStyle(24);
    gr->Draw("P SAME");


    delete wspace;
    delete lrinterval;
    delete mcInt;
    delete fcint;
    delete data;

    // print timing info
    t.Stop();
    t.Print();
}