fragmentAngularDistributionHistogram.C

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#include "Riostream.h"
#include "TSystem.h"
#include "TInterpreter.h"
#include "TROOT.h"
#include "TApplication.h"
#include "TFile.h"
#include "TNtuple.h"
#include "TCanvas.h"
#include "TH1F.h"
#include "THStack.h"
#include "TCut.h"
#include "TString.h"
#include "TMath.h"

/***************************
 * Root script that produces a histogram of the angular distribution of
 * a certain type of charged fragment (default Z=1).
 * 
 * Notice that this produces a histogram with equally spaced bins for angles.
 * 
 * Comparison to E.Haettner will not yield good results, but shows 
 * alternative approach for analyzing the same data.
 * 
 * @author Gillis Danielsen
 * **************************/

void fragmentAngularDistributionHistogram() {
gStyle->SetOptStat(0000000000); //remove the redundant statbox
   gROOT->SetStyle("clearRetro");
 //this will be used as base for pulling the experimental data
   TString dir = gSystem->UnixPathName(gInterpreter->GetCurrentMacroName());
   dir.ReplaceAll("basic.C","");
   dir.ReplaceAll("/./","/");
   ifstream in;
   
   TString pDepth, fragment, Znum;
   cout << "Enter phantom depth (eg. 27.9, see experimentalData directory for choices): ";
   cin >> pDepth;
   cout << "Enter fragment Z-number (eg. 1): ";
   cin >> Znum;
   cout << "Enter fragment name (Znum 1 -> H,Znum 2->He...): ";
   cin >> fragment;
   
   TString experimentalDataPath = "experimentalData/iaeaBenchmark/angularDistributions/" + pDepth + "/" + fragment + "" + pDepth +".dat";
   TString simulationDataPath = "IAEA_" + pDepth + ".root";
   
   in.open(experimentalDataPath);
   Float_t f1,f2;
   Int_t nlines = 0;
   TFile *f = new TFile("fragmentAngularDistribution.root","RECREATE");
   TNtuple *ntuple = new TNtuple("ntuple","Data from ascii file","x:y");
          
   Char_t DATAFLAG[4];
   Int_t NDATA;
   Char_t n1[15], n2[15];
   in >> DATAFLAG >> NDATA ; // Read EXFOR line: 'DATA 6'
   in >> n1 >> n2; // Read  column titles: 'Energy He B [...]'

   cout <<n1<<"   "<<n2<<"\n";
   while (1) {
      in >> f1 >> f2;
      if (!in.good()) break;
      if (nlines < 500 ) printf("%f %f\n",f1,f2);
      ntuple->Fill(f1,f2);
      nlines++;
   }
           printf(" found %d points\n",nlines);
   //Let's pull in the simulation-data
   //TCanvas *mc = new TCanvas("mc", "Simulation");
   TFile *simulation = TFile::Open(simulationDataPath);
   TNtuple *fragments = (TNtuple*) simulation->Get("fragmentNtuple");

   //Block bellow pulls out the simulation's metadata from the metadata ntuple.
   TNtuple *metadata = (TNtuple*) simulation->Get("metaData");
   Float_t events, detectorDistance,waterThickness,beamEnergy,energyError,phantomCenterDistance;
   metadata->SetBranchAddress("events",&events);
   metadata->SetBranchAddress("waterThickness",&waterThickness);
   metadata->SetBranchAddress("detectorDistance",&detectorDistance);
   metadata->SetBranchAddress("beamEnergy",&beamEnergy);
   metadata->SetBranchAddress("energyError",&energyError);
   metadata->SetBranchAddress("phantomCenterDistance",&phantomCenterDistance);
   metadata->GetEntry(0); //there is just one row to consider.
   
        //good to keep for ref. G4 might give weird units due to change.
        metadata->Scan();


        TString Znum = Form("%i", 1); //hydrogen seems to be the only interesting fragment due to largest amounts
        /* 
         * A logical bin amount could be calculated as follows, E.Haettner used a detector with 4cm side length, 
         * the scattering distance is 295.85, thus arctan(4 / 295.85) = 0.774612657 degrees. As 14 degrees is shown
         * in Haettners graphs and is chosen here as well that would mean approx 14/.77 ~ 18.
         * This should mean moving the detector one detectorlength. so that the bins "do not overlap". This is ab it of an approx though
         * because the change in degrees is not linear.
         * So far these results are though very much inconsistent with Haettners.
         * 
         * Although here one should note that the degrees are not linear.
         * 
         * The negativeHist is a cludge-fix to get the negative degrees (will be exactly the same)
        */
        Double_t maxDegrees = 14; //highest plotted degree amount
        int binAmount = 25; //amount of bins in plotted histogram
    TH1F *hist1 = new TH1F("hist1", "Fragment angular distribution", binAmount, 0, maxDegrees); //The histogram for the angular distribution at a set length
        //This histogram needs to be hist1 with a symmetric negative side
        TH1F *symmetricHist = new TH1F("symmetricHist", "Fragment angular distr.", 2*binAmount, -1*maxDegrees, maxDegrees); //bin amount must be even

        //Things needed for the analysis (based on the metadata pulled earlier)
        //ALL UNITS ARE FOR NOW cm
        Double_t detectorSideLength = 4; //40mm
        Double_t scatteringDistance = detectorDistance - phantomCenterDistance;
        TString sdstring = Form("%.4f", scatteringDistance);
        
        TCanvas *c1 = new TCanvas("histograms", "Angular distribution at certain phantom thickness, sd" + sdstring); //This is where we will plot
        
TString middleY;
//Projection from ntuple to histogram, so that the angle is trigonometrically pulled as the binned variable
        fragments->Project("hist1","57.29577*atan((posZ^2+posY^2)/" + sdstring + ")", "(Z == " + Znum + ")");

//Secondly all bins need to be scaled according to the solid angle of that phi+-deltaPhi circlepart. Before this the curve is "bragg-curvish", what I want is "concaveish".
//this could be done inside the reading of the tuple into the histo, however doing it afterwards improves
        Double_t value, width, deltaPhi, degrees;
        Double_t binNormalization = 1;
        std::cout << "bin-number" << "\t" << "value" << "\t" << "solid angle segment" << endl;
for(int bin = 0; bin <= hist1->GetNbinsX(); bin++){
                value = hist1->GetBinContent(bin); //the incident-particle normalized amount of hits
                width = hist1->GetBinWidth(bin); //so this is degrees/radians
                degrees = hist1->GetBinCenter(bin);
                deltaPhi = width/2;
                binNormalization = 2*TMath::Pi()*(TMath::Cos(TMath::DegToRad()*(degrees-deltaPhi)) - TMath::Cos(TMath::DegToRad()*(degrees+deltaPhi))); //Gunzer-marx uses this , which is a tad of an approximation
                symmetricHist->SetBinContent(bin+hist1->GetNbinsX(), value/(binNormalization*events)); //Solid angle and amount of events
                symmetricHist->SetBinContent(hist1->GetNbinsX()-bin+1, value/(binNormalization*events)); //Solid angle and amount of events
        }
        symmetricHist->SetAxisRange(-2,14);
        symmetricHist->SetXTitle("Angle (degrees)");
        symmetricHist->SetYTitle("(N/N0) / [sr]");
        
        TF1* fitgaus = new TF1("fitgaus","gaus");
        TF2* fitexpo = new TF1("fitexpo","expo");
        fitgaus->SetLineColor(2);
        fitexpo->SetLineColor(4);       
        symmetricHist->Fit(fitgaus,""); // data should be reshaped a bit for the gaussian (as root seems to have some problems here)
        symmetricHist->Fit(fitexpo, "+"); //aparently two fits on the same histo seem to much for root
        symmetricHist->Draw();
        //symmetricHist->SetMaximum(35); //needed to get E.Haettners data visible
        /*
        //Plots of experimental data are kind of meaningless with a constant-angle-binned histogram.
        ntuple->SetMarkerStyle(22);
    ntuple->SetMarkerColor(kRed);
        ntuple->Draw("y:x","","p,same");
        */
        
   c1->SaveAs("angularDistributionHistogramWithFits.png");

}