modified: Analyzer.C
modified: GainMatchSX3.C
This commit is contained in:
parent
579f4e4f6c
commit
afef56df12
54
Analyzer.C
54
Analyzer.C
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@ -49,6 +49,15 @@ TVector3 hitPos;
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// TVector3 anodeIntersection;
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std::map<int, std::pair<double, double>> slopeInterceptMap;
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const int MAX_DET = 24;
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const int MAX_UP = 4;
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const int MAX_DOWN = 4;
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const int MAX_BK = 4;
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double backGain[MAX_DET][MAX_BK][MAX_UP][MAX_DOWN] = {{{{0}}}};
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bool backGainValid[MAX_DET][MAX_BK][MAX_UP][MAX_DOWN] = {{{{false}}}};
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double frontGain[MAX_DET][MAX_BK][MAX_UP][MAX_DOWN] = {{{{0}}}};
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bool frontGainValid[MAX_DET][MAX_BK][MAX_UP][MAX_DOWN] = {{{{false}}}};
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bool HitNonZero;
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bool sx3ecut;
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bool qqqEcut;
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@ -138,6 +147,46 @@ void Analyzer::Begin(TTree * /*tree*/)
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{
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std::cerr << "Error opening slope_intercept.txt" << std::endl;
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}
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std::string filename = "sx3_GainMatchback.txt";
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std::ifstream infile(filename);
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if (!infile.is_open())
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{
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std::cerr << "Error opening " << filename << "!" << std::endl;
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return;
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}
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int id, bk, u, d;
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double gain;
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while (infile >> id >> bk >> u >> d >> gain)
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{
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backGain[id][bk][u][d] = gain;
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if (backGain[id][bk][u][d] > 0)
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backGainValid[id][bk][u][d] = true;
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else
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backGainValid[id][bk][u][d] = false;
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}
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infile.close();
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std::cout << "Loaded back gains from " << filename << std::endl;
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std::string filename = "sx3_GainMatchfront.txt";
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std::ifstream infile(filename);
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if (!infile.is_open())
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{
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std::cerr << "Error opening " << filename << "!" << std::endl;
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return;
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}
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int id, bk, u, d;
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double gain;
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while (infile >> id >> bk >> u >> d >> gain)
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{
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frontGain[id][bk][u][d] = gain;
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frontGainValid[id][bk][u][d] = true;
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}
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}
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Bool_t Analyzer::Process(Long64_t entry)
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@ -581,8 +630,9 @@ Bool_t Analyzer::Process(Long64_t entry)
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anodeIntersection = TVector3(x, y, z);
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// std::cout << "Anode Intersection " << anodeIntersection.Z() << " " << x << " " << y << " " << z << std::endl;
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}
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if(anodeIntersection.Z() != 0){
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if (anodeIntersection.Z() != 0)
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{
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hPCZProj->Fill(anodeIntersection.Z());
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}
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// Filling the PC Z projection histogram
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196
GainMatchSX3.C
196
GainMatchSX3.C
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@ -35,13 +35,14 @@ const int MAX_UP = 4;
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const int MAX_DOWN = 4;
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const int MAX_BK = 4;
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double frontGain[MAX_DET][MAX_BK][MAX_UP][MAX_DOWN] = {{{{0}}}};
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bool frontGainValid[MAX_DET][MAX_BK][MAX_UP][MAX_DOWN] = {{{{false}}}};
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// double frontGain[MAX_DET][MAX_BK][MAX_UP][MAX_DOWN] = {{{{0}}}};
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// bool frontGainValid[MAX_DET][MAX_BK][MAX_UP][MAX_DOWN] = {{{{false}}}};
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// ==== Configuration Flags ====
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const bool interactiveMode = false; // If true: show canvas + wait for user
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const bool verboseFit = true; // If true: print fit summary and chi²
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const bool drawCanvases = false; // If false: canvases won't be drawn at all
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const bool drawCanvases = false; // If false: canvases won't be drawn at all
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void GainMatchSX3::Begin(TTree * /*tree*/)
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{
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@ -99,6 +100,13 @@ void GainMatchSX3::Begin(TTree * /*tree*/)
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// frontGain[id][bk][u][d] = gain;
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// frontGainValid[id][bk][u][d] = true;
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// }
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// int id, bk, u, d;
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// double gain;
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// while (infile >> id >> bk >> u >> d >> gain)
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// {
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// frontGain[id][bk][u][d] = gain;
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// frontGainValid[id][bk][u][d] = true;
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// }
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}
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Bool_t GainMatchSX3::Process(Long64_t entry)
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@ -127,12 +135,6 @@ Bool_t GainMatchSX3::Process(Long64_t entry)
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std::vector<std::pair<int, int>> ID;
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for (int i = 0; i < sx3.multi; i++)
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{
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// for (int j = i + 1; j < sx3.multi; j++)
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// {
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// if (sx3.id[i] == 3)
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// hsx3Coin->Fill(sx3.index[i], sx3.index[j]);
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// }
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if (sx3.e[i] > 100)
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{
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ID.push_back(std::pair<int, int>(sx3.id[i], i));
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@ -202,37 +204,52 @@ Bool_t GainMatchSX3::Process(Long64_t entry)
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}
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}
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}
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// Only if we found all three channels do we proceed
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if (sx3ChUp >= 0 && sx3ChDn >= 0 && sx3ChBk >= 0)
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for (int i = 0; i < sx3.multi; i++)
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{
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// Fill once per correlated set
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auto key = std::make_tuple(sx3.id[i], sx3ChBk, sx3ChUp, sx3ChDn);
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comboCounts[key]++;
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// If we have a valid front and back channel, fill the histograms
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hSX3->Fill(sx3ChDn + 4, sx3ChBk);
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hSX3->Fill(sx3ChUp, sx3ChBk);
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// Fill the histogram for the front vs back
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hSX3FvsB->Fill(sx3EUp + sx3EDn, sx3EBk);
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}
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// Pick detector ID from one of the correlated hits (all same detector)
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int detID = sx3ID[0].first;
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TString histName = Form("hSX3FVB_id%d_U%d_D%d_B%d",
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detID, sx3ChUp, sx3ChDn, sx3ChBk);
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TH2F *hist2d = (TH2F *)gDirectory->Get(histName);
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if (!hist2d)
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for (int i = 0; i < sx3.multi; i++)
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{
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// if (sx3.id[i] == 4)
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{
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hist2d = new TH2F(histName, histName,
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400, 0, 16000, 400, 0, 16000);
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}
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auto key = std::make_tuple(sx3.id[i], sx3ChBk, sx3ChUp, sx3ChDn);
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if (sx3EBk > 100 || sx3EUp > 100 || sx3EDn > 100)
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{
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// Only continue if this combo has enough entries
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if (comboCounts[key] < 100 || sx3EBk < 100 || sx3EUp < 100 || sx3EDn < 100)
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continue;
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// Fill the histogram for the front vs back with gain correction
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hSX3FvsB_g->Fill(sx3EUp + sx3EDn, sx3EBk);
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// Fill the index vs energy histogram
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hsx3IndexVE_g->Fill(sx3.index[i], sx3.e[i]);
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// }
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// {
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TString histName = Form("hSX3FVB_id%d_U%d_D%d_B%d", sx3.id[i], sx3ChUp, sx3ChDn, sx3ChBk);
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TH2F *hist2d = (TH2F *)gDirectory->Get(histName);
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if (!hist2d)
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{
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hist2d = new TH2F(histName, Form("hSX3FVB_id%d_U%d_D%d_B%d", sx3.id[i], sx3ChUp, sx3ChDn, sx3ChBk), 400, 0, 16000, 400, 0, 16000);
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}
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// Use the correlated triplet directly
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dataPoints[{detID, sx3ChBk, sx3ChUp, sx3ChDn}]
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.emplace_back(sx3EBk, sx3EUp, sx3EDn);
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hist2d->Fill(sx3EUp + sx3EDn, sx3EBk);
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// if (cut && cut->IsInside(sx3EUp + sx3EDn, sx3EBk))// && cut1 && cut1->IsInside(sx3EUp / sx3EBk, sx3EDn / sx3EBk))
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{
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// Accumulate data for gain matching
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// if (frontGainValid[sx3.id[i]][sx3ChBk][sx3ChUp][sx3ChDn])
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// {
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// sx3EUp *= frontGain[sx3.id[i]][sx3ChBk][sx3ChUp][sx3ChDn];
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// }
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dataPoints[{sx3.id[i], sx3ChBk, sx3ChUp, sx3ChDn}].emplace_back(sx3EBk, sx3EUp, sx3EDn);
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}
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}
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hist2d->Fill(sx3EUp + sx3EDn, sx3EBk);
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}
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}
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}
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@ -243,52 +260,67 @@ Bool_t GainMatchSX3::Process(Long64_t entry)
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const double GAIN_ACCEPTANCE_THRESHOLD = 0.3;
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void GainMatchSX3::Terminate()
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{
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double backSlope[MAX_DET][MAX_BK] = {{0}};
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bool backSlopeValid[MAX_DET][MAX_BK] = {{false}};
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double gainArray[MAX_DET][MAX_BK][MAX_UP][MAX_DOWN] = {{{{0}}}};
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bool gainValid[MAX_DET][MAX_BK][MAX_UP][MAX_DOWN] = {{{{false}}}};
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std::map<int, double> upCorrFactor;
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std::ofstream outFile("sx3_BackGains.txt");
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// === Gain matching ===
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std::ofstream outFile("sx3_GainMatchback.txt");
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if (!outFile.is_open())
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{
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std::cerr << "Error opening sx3_BackGains.txt for writing!" << std::endl;
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return;
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}
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// === Gain fit: (Up+Dn) vs Back, grouped by [id][bk] ===
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for (int id = 0; id < MAX_DET; id++)
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// Gain fit using up+dn vs bk
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for (const auto &kv : dataPoints)
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{
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for (int bk = 0; bk < MAX_BK; bk++)
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// kv.first is a tuple of (id, up, bk)
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// kv.second is a vector of tuples (bkE, upE, dnE)
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auto [id, bk, u, d] = kv.first;
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const auto &pts = kv.second;
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// Check if we have enough points for fitting
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if (pts.size() < 5)
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continue;
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std::vector<double> bkE, udE;
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for (const auto &pr : pts)
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{
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std::vector<double> bkE, udE;
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double eUp, eDn, eBk;
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std::tie(eBk, eUp, eDn) = pr;
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// Collect all (Up+Dn, Back) for this id,bk
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for (const auto &kv : dataPoints)
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{
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auto [cid, cbk, u, d] = kv.first;
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if (cid != id || cbk != bk)
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continue;
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if ((eBk < 100) || (eUp < 100) || (eDn < 100))
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continue; // Skip if any energy is less than 100
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for (const auto &pr : kv.second)
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{
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double eBk, eUp, eDn;
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std::tie(eBk, eUp, eDn) = pr;
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if ((eBk < 100) || (eUp < 100) || (eDn < 100))
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continue;
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bkE.push_back(eBk);
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udE.push_back(eUp + eDn);
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}
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bkE.push_back(eBk);
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udE.push_back(eUp + eDn);
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}
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}
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// Fill the TGraph with bkE and udE
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// TGraph g(bkE.size(), bkE.data(), udE.data());
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// Fit the graph to a linear function
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if (bkE.size() < 5)
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continue; // Ensure we have enough points for fitting
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if (bkE.size() < 5)
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continue; // not enough statistics
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const double fixedError = 10.0; // in ADC channels
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// Build graph with errors
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const double fixedError = 10.0; // ADC channels
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std::vector<double> exVals(udE.size(), 0.0); // no x error
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std::vector<double> eyVals(udE.size(), fixedError); // constant y error
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std::vector<double> xVals, yVals, exVals, eyVals;
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TGraphErrors g(udE.size(), udE.data(), bkE.data(),
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exVals.data(), eyVals.data());
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// Build data with fixed error
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for (size_t i = 0; i < udE.size(); ++i)
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{
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double x = udE[i]; // front energy
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double y = bkE[i]; // back energy
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xVals.push_back(x);
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yVals.push_back(y);
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exVals.push_back(fixedError); // error in front energy
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// eyVals.push_back(fixedError); // error in back energy
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}
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// Build TGraphErrors with errors
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TGraphErrors g(xVals.size(), xVals.data(), yVals.data(), exVals.data(), eyVals.data());
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TF1 f("f", "[0]*x", 0, 16000);
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f.SetParameter(0, 1.0); // initial slope
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@ -329,21 +361,39 @@ void GainMatchSX3::Terminate()
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g.Fit(&f, "QNR");
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}
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double slope = f.GetParameter(0);
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if (std::abs(slope - 1.0) < 0.3) // sanity check
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{
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backSlope[id][bk] = slope;
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backSlopeValid[id][bk] = true;
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outFile << id << " " << bk << " " << slope << "\n";
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printf("Back slope Det%d Bk%d → %.4f\n", id, bk, slope);
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}
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else
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{
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std::cerr << "Warning: Bad slope for Det" << id << " Bk" << bk
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<< " slope=" << slope << std::endl;
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}
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gainArray[id][bk][u][d] = f.GetParameter(0);
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gainValid[id][bk][u][d] = true;
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// }
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// // Output results
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// for (int id = 0; id < MAX_DET; ++id)
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// {
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// for (int bk = 0; bk < MAX_BK; ++bk)
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// {
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// for (int u = 0; u < MAX_UP; ++u)
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// {
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// for (int d = 0; d < MAX_DOWN; ++d)
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// {
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// // Check if the gain is valid for this detector, back, up, and down
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// if (gainValid[id][bk][u][d])
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// {
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// if (TMath::Abs(gainArray[id][u][d][bk] - 1) < 0.3)
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{
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printf("Gain match Det%d Up%dDn%d Backs%d → %.4f \n", id, u, d, bk, gainArray[id][u][d][bk]);
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outFile << id << " " << bk << " " << u << " " << d << " " << gainArray[id][u][d][bk] << std::endl;
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}
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// else if (gainArray[id][u][d][bk] != 0)
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// {
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// std::cerr << "Warning: Gain value out of range for Det " << id << " Up " << u << " Dn " << d << " Back " << bk << ": "
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// << gainArray[id][u][d][bk] << std::endl;
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// outFile << id << " " << bk << " " << u << " " << d << " " << gainArray[id][u][d][bk] << std::endl;
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// }
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}
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// }
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// }
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// }
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// }
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// }
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outFile.close();
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std::cout << "Back gain matching complete." << std::endl;
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