ANASEN_analysis/GainMatchSX3.C

259 lines
7.0 KiB
C

#define GainMatchSX3_cxx
#include "GainMatchSX3.h"
#include <TH2.h>
#include <TF1.h>
#include <TStyle.h>
#include <TCanvas.h>
#include <TMath.h>
#include <TCutG.h>
#include <fstream>
#include <utility>
#include <algorithm>
#include "Armory/ClassSX3.h"
#include "TVector3.h"
TH2F *hSX3FvsB;
TH2F *hQQQFVB;
int padID = 0;
SX3 sx3_contr;
TCutG *cut;
std::map<std::tuple<int, int, int>, std::vector<std::tuple<double, double, double>>> dataPoints;
void GainMatchSX3::Begin(TTree * /*tree*/)
{
TString option = GetOption();
hSX3FvsB = new TH2F("hSX3FvsB", "SX3 Front vs Back; Front E; Back E", 400, 0, 16000, 400, 0, 16000);
sx3_contr.ConstructGeo();
// Load the TCutG object
TFile *cutFile = TFile::Open("sx3cut.root");
if (!cutFile || cutFile->IsZombie())
{
std::cerr << "Error: Could not open sx3cut.root" << std::endl;
return;
}
cut = dynamic_cast<TCutG *>(cutFile->Get("sx3cut"));
if (!cut)
{
std::cerr << "Error: Could not find TCutG named 'sx3cut' in sx3cut.root" << std::endl;
return;
}
cut->SetName("sx3cut"); // Ensure the cut has the correct name
}
Bool_t GainMatchSX3::Process(Long64_t entry)
{
b_sx3Multi->GetEntry(entry);
b_sx3ID->GetEntry(entry);
b_sx3Ch->GetEntry(entry);
b_sx3E->GetEntry(entry);
b_sx3T->GetEntry(entry);
b_qqqMulti->GetEntry(entry);
b_qqqID->GetEntry(entry);
b_qqqCh->GetEntry(entry);
b_qqqE->GetEntry(entry);
b_qqqT->GetEntry(entry);
b_pcMulti->GetEntry(entry);
b_pcID->GetEntry(entry);
b_pcCh->GetEntry(entry);
b_pcE->GetEntry(entry);
b_pcT->GetEntry(entry);
sx3.CalIndex();
qqq.CalIndex();
pc.CalIndex();
std::vector<std::pair<int, int>> ID;
for (int i = 0; i < sx3.multi; i++)
{
ID.push_back(std::pair<int, int>(sx3.id[i], i));
}
if (ID.size() > 0)
{
std::sort(ID.begin(), ID.end(), [](const std::pair<int, int> &a, const std::pair<int, int> &b)
{ return a.first < b.first; });
std::vector<std::pair<int, int>> sx3ID;
sx3ID.push_back(ID[0]);
bool found = false;
for (size_t i = 1; i < ID.size(); i++)
{
if (ID[i].first == sx3ID.back().first)
{
sx3ID.push_back(ID[i]);
if (sx3ID.size() >= 3)
{
found = true;
}
}
else
{
if (!found)
{
sx3ID.clear();
sx3ID.push_back(ID[i]);
}
}
}
if (found)
{
int sx3ChUp = -1, sx3ChDn = -1, sx3ChBk = -1;
float sx3EUp = 0.0, sx3EDn = 0.0, sx3EBk = 0.0;
for (size_t i = 0; i < sx3ID.size(); i++)
{
int index = sx3ID[i].second;
if (sx3.ch[index] < 8)
{
if (sx3.ch[index] % 2 == 0)
{
sx3ChDn = sx3.ch[index]/2;
sx3EDn = sx3.e[index];
}
else
{
sx3ChUp = sx3.ch[index]/2;
sx3EUp = sx3.e[index];
}
}
else
{
sx3ChBk = sx3.ch[index];
sx3EBk = sx3.e[index];
}
}
hSX3FvsB->Fill(sx3EUp + sx3EDn, sx3EBk);
for (int i = 0; i < sx3.multi; i++)
{
TString histName = Form("hSX3FVB_id%d_F%d_L+R%d", sx3.id[i], sx3ChUp, sx3ChBk);
TH2F *hist2d = (TH2F *)gDirectory->Get(histName);
if (!hist2d)
{
hist2d = new TH2F(histName, Form("hSX3FVB_id%d_F%d_L+R%d", sx3.id[i], sx3ChUp, sx3ChBk), 400, 0, 16000, 400, 0, 16000);
}
hist2d->Fill(sx3EUp + sx3EDn, sx3EBk);
if (cut && cut->IsInside(sx3EUp + sx3EDn, sx3EBk))
{
// Accumulate data for gain matching
dataPoints[{sx3.id[i], sx3ChUp, sx3ChBk}].emplace_back(sx3EBk, sx3EUp , sx3EDn);
}
}
}
}
return kTRUE;
}
void GainMatchSX3::Terminate()
{
const int MAX_DET = 24;
const int MAX_UP = 4;
const int MAX_DOWN = 4;
const int MAX_BK = 4;
double gainArray[MAX_DET][MAX_UP][MAX_BK] = {{{0}}};
bool gainValid[MAX_DET][MAX_UP][MAX_BK] = {{{false}}};
std::ofstream outFile("sx3_GainMatch.txt");
if (!outFile.is_open())
{
std::cerr << "Error opening output file!" << std::endl;
return;
}
// === Updated dataPoints type ===
// std::map<std::tuple<int, int, int>, std::vector<std::tuple<double, double, double>>> dataPoints;
// Gain fit using up+dn vs bk
for (const auto &kv : dataPoints)
{
auto [id, ud, bk] = kv.first;
const auto &pts = kv.second;
if (pts.size() < 5)
continue;
std::vector<double> bkE, udE;
for (const auto &pr : pts)
{
double eUp, eDn, eBk;
std::tie(eBk, eUp, eDn) = pr;
bkE.push_back(eBk);
udE.push_back(eUp + eDn);
}
TGraph g(bkE.size(), bkE.data(), udE.data());
TF1 f("f", "[0]*x", 0, 16000);
g.Fit(&f, "QNR");
gainArray[id][ud][bk] = f.GetParameter(0);
gainValid[id][ud][bk] = true;
}
// Output results
for (int id = 0; id < MAX_DET; ++id)
{
for (int bk = 0; bk < MAX_BK; ++bk)
{
for (int ud = 0; ud < MAX_UP; ++ud)
{
if (gainValid[id][ud][bk])
{
outFile << id << " " << bk << " " << ud << " " << gainArray[id][ud][bk] << std::endl;
printf("Gain match Det%d Up+Dn%d Back%d → %.4f \n", id, ud, bk, gainArray[id][ud][bk]);
}
}
}
}
outFile.close();
std::cout << "Gain matching complete." << std::endl;
// === Create histograms ===
TH2F *hFVB = new TH2F("hFVB", "Corrected Up+Dn vs Corrected Back;Corrected Back E;Up+Dn E",
400, 0, 16000, 400, 0, 16000);
TH2F *hAsym = new TH2F("hAsym", "Up vs Dn dvide back;Up+Dn E;(Up-Dn)/(Up+Dn)",
400, -1.0,1.0, 400, -1.0, 1.0);
// Fill histograms
for (const auto &kv : dataPoints)
{
auto [id, ud, bk] = kv.first;
if (!gainValid[id][ud][bk]) continue;
double gain = gainArray[id][ud][bk];
for (const auto &pr : kv.second)
{
double eBk, eUp, eDn;
std::tie(eBk, eUp, eDn) = pr;
double updn = eUp + eDn;
if (updn == 0) continue;
double asym = (eUp - eDn) / updn;
double correctedBack = eBk * gain;
hFVB->Fill(correctedBack, updn);
hAsym->Fill(eUp/eBk,eDn/eBk);
}
}
// Optional: save histograms to a file
// TFile *outHist = new TFile("sx3_gainmatch_hists.root", "RECREATE");
// hFVB->Write();
// hAsym->Write();
// outHist->Close();
}