ANASEN_analysis/anasen_analysis_vignesh/GainMatchSX3.C
Sudarsan Balakrishnan b2242ccacd Improved SX3 calibrations, step-ladder correction to pcz.
A lot of the files are identical to old ones, but the main changes are:
1) EXFit2.C in sx3cal
	- Finds front/right gains for each strip using the known middle two pad edges, but gainmatches all backs
2) Define new 'fix' loci, arising from the step-ladder correction to A1C2 events. This is tested in scratch/sx3z_vs_pcz/testmodel.h, will be given a better name in the future.
3) Explore A1C2 and A1C3 loci in detail
4) environment variables to 'flip' and 'offset' wires during sort. All env vars are set in shell scripts that call them
5) environment variables that allow for timestamp bounds to be set and unset. Default limiting values are 0 and dbl_max so no harm done unless these specific env vars are set.
6) Some bookkeeping indicating 27Al instead of 26Al in all places.
2026-04-14 13:45:11 -04:00

433 lines
14 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 <TProfile.h>
#include "Armory/ClassSX3.h"
#include "Armory/HistPlotter.h"
#include <TGraphErrors.h>
#include "TVector3.h"
TH2F *hSX3FvsB;
TH2F *hSX3FvsB_g;
TH2F *hsx3IndexVE;
TH2F *hsx3IndexVE_g;
TH2F *hSX3;
TH2F *hsx3Coin;
int padID = 0;
SX3 sx3_contr;
TCutG *cut;
TCutG *cut1;
std::map<std::tuple<int, int, int, int>, std::vector<std::tuple<double, double, double>>> dataPoints;
std::map<std::tuple<int, int, int, int>, int> comboCounts;
const int MAX_DET = 24;
const int MAX_UP = 4;
const int MAX_DOWN = 4;
const int MAX_BK = 4;
double frontGainUp[MAX_DET][MAX_BK][MAX_UP][MAX_DOWN] = {{{{0}}}};
double frontGainDown[MAX_DET][MAX_BK][MAX_UP][MAX_DOWN] = {{{{0}}}};
bool frontGainValid[MAX_DET][MAX_BK][MAX_UP][MAX_DOWN] = {{{{false}}}};
TCanvas c("canvas", "canvas", 800, 600);
// ==== Configuration Flags ====
const bool interactiveMode = true; // If true: show canvas + wait for user
const bool verboseFit = true; // If true: print fit summary and chi²
const bool drawCanvases = true; // If false: canvases won't be drawn at all
// HistPlotter plotter("SX3GainMatchBack.root");
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);
hSX3FvsB_g = new TH2F("hSX3FvsB_g", "SX3 Front vs Back; Front E; Back E", 400, 0, 16000, 400, 0, 16000);
hsx3IndexVE = new TH2F("hsx3IndexVE", "SX3 index vs Energy; sx3 index ; Energy", 24 * 12, 0, 24 * 12, 400, 0, 5000);
hsx3IndexVE_g = new TH2F("hsx3IndexVE_g", "SX3 index vs Energy; sx3 index ; Energy", 24 * 12, 0, 24 * 12, 400, 0, 5000);
hSX3 = new TH2F("hSX3", "SX3 Front v Back; Fronts; Backs", 8, 0, 8, 4, 0, 4);
hsx3Coin = new TH2F("hsx3Coin", "SX3 Coincident", 24 * 12, 0, 24 * 12, 24 * 12, 0, 24 * 12);
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
// Load the TCutG object
TFile *cutFile1 = TFile::Open("UvD.root");
bool cut1Loaded = (cut1 != nullptr);
cut1 = dynamic_cast<TCutG *>(cutFile1->Get("UvD"));
if (!cut1)
{
std::cerr << "Error: Could not find TCutG named 'UvD' in UvD.root" << std::endl;
return;
}
cut1->SetName("UvD");
// plotter.ReadCuts("cuts.txt");
std::string filename = "sx3_GainMatchfront.txt";
// std::string filename = "sx3_GainMatchfront.txt";
std::ifstream infile(filename);
if (!infile.is_open())
{
std::cerr << "Error opening " << filename << "!" << std::endl;
return;
}
int id, bk, u, d;
double gainup, gaindown;
while (infile >> id >> bk >> u >> d >> gainup >> gaindown)
{
frontGainUp[id][bk][u][d] = gainup;
frontGainDown[id][bk][u][d] = gaindown;
frontGainValid[id][bk][u][d] = true;
if(frontGainValid[id][bk][u][d]) {
// std::cout << "Loaded front gain for Det" << id << " Bk" << bk << " U" << u << " D" << d
// << ": Up=" << gainup << ", Down=" << gaindown << std::endl;
}
else {
std::cout << "No valid front gain for Det" << id << " Bk" << bk << " U" << u << " D" << d << std::endl;
}
}
}
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++)
{
// for (int j = i + 1; j < sx3.multi; j++)
// {
// if (sx3.id[i] == 3)
// hsx3Coin->Fill(sx3.index[i], sx3.index[j]);
// }
if (sx3.e[i] > 100)
{
ID.push_back(std::pair<int, int>(sx3.id[i], i));
hsx3IndexVE->Fill(sx3.index[i], sx3.e[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; });
// start with the first entry in the sorted array: channels that belong to the same detector are together in sequenmce
std::vector<std::pair<int, int>> sx3ID;
sx3ID.push_back(ID[0]);
bool found = false;
for (size_t i = 1; i < ID.size(); i++)
{ // Check if id of i belongs to the same detector and then add it to the detector ID vector
if (ID[i].first == sx3ID.back().first)
{ // count the nunmber of hits that belong to the same detector
sx3ID.push_back(ID[i]);
if (sx3ID.size() >= 3)
{
found = true;
}
}
else
{ // the next event does not belong to the same detector, abandon the first event and continue with the next one
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;
// Build the correlated set once
for (size_t i = 0; i < sx3ID.size(); i++)
{
if (sx3.e[i] > 100)
{
int index = sx3ID[i].second;
if (sx3.ch[index] < 8)
{
if (sx3.ch[index] % 2 == 0)
{
sx3ChDn = sx3.ch[index];
sx3EDn = sx3.e[index];
//
}
else
{
sx3ChUp = sx3.ch[index];
sx3EUp = sx3.e[index];
}
}
else
{
sx3ChBk = sx3.ch[index] - 8;
sx3EBk = sx3.e[index];
}
}
}
// Only if we found all three channels do we proceed
if (sx3ChUp >= 0 && sx3ChDn >= 0 && sx3ChBk >= 0)
{
// Fill once per correlated set
hSX3->Fill(sx3ChDn + 4, sx3ChBk);
hSX3->Fill(sx3ChUp, sx3ChBk);
hSX3FvsB->Fill(sx3EUp + sx3EDn, sx3EBk);
if (frontGainValid[sx3ID[0].first][sx3ChBk][sx3ChUp / 2][sx3ChDn / 2])
{
sx3EUp *= frontGainUp[sx3ID[0].first][sx3ChBk][sx3ChUp / 2][sx3ChDn / 2];
sx3EDn *= frontGainDown[sx3ID[0].first][sx3ChBk][sx3ChUp / 2][sx3ChDn / 2];
}
else
{
// printf("No front gain for Det%d Bk%d U%d D%d\n", sx3ID[0].first, sx3ChBk, sx3ChUp / 2, sx3ChDn / 2);
sx3EUp = sx3EDn = 0.;
}
// plotter.Fill2D("hSX3F", 400, 0, 16000, 400, 0, 16000, sx3EUp + sx3EDn, sx3EBk);
// Pick detector ID from one of the correlated hits (all same detector)
int detID = sx3ID[0].first;
TString histName = Form("hSX3FVB_id%d_U%d_D%d_B%d", detID, sx3ChUp, sx3ChDn, sx3ChBk);
TString histName1 = Form("UnCorr_id%d_U%d-D%dvsB%d", detID, sx3ChUp, sx3ChDn, sx3ChBk);
TH2F *hist2d = (TH2F *)gDirectory->Get(histName);
TH2F *hist2d1 = (TH2F *)gDirectory->Get(histName1);
if (!hist2d)
{
hist2d = new TH2F(histName, histName,
400, 0, 16000, 400, 0, 16000);
}
if (!hist2d1)
{
hist2d1 = new TH2F(histName1, histName1,
800, -1, 1, 800, 0, 4000);
}
if (sx3EBk > 100 || sx3EUp > 100 || sx3EDn > 100)
{
hSX3FvsB_g->Fill(sx3EUp + sx3EDn, sx3EBk);
// Use the correlated triplet directly
dataPoints[{detID, sx3ChBk, sx3ChUp, sx3ChDn}]
.emplace_back(sx3EBk, sx3EUp, sx3EDn);
}
hist2d->Fill(sx3EUp + sx3EDn, sx3EBk);
hist2d1->Fill((sx3EUp - sx3EDn) / (sx3EUp + sx3EDn), sx3EBk);
}
}
}
return kTRUE;
}
const double GAIN_ACCEPTANCE_THRESHOLD = 0.3;
void GainMatchSX3::Terminate()
{
double backSlope[MAX_DET][MAX_BK] = {{0}};
bool backSlopeValid[MAX_DET][MAX_BK] = {{false}};
std::ofstream outFile("sx3_BackGains0.txt");
if (!outFile.is_open())
{
std::cerr << "Error opening sx3_BackGains.txt for writing!" << std::endl;
return;
}
// === Gain fit: (Up+Dn) vs Back, grouped by [id][bk] ===
for (int id = 0; id < MAX_DET; id++)
{
for (int bk = 0; bk < MAX_BK; bk++)
{
std::vector<double> bkE, udE;
// Collect all (Up+Dn, Back) for this id,bk
for (const auto &kv : dataPoints)
{
auto [cid, cbk, u, d] = kv.first;
if (cid != id || cbk != bk)
continue;
for (const auto &pr : kv.second)
{
double eBk, eUp, eDn;
std::tie(eBk, eUp, eDn) = pr;
if ((eBk < 100) || (eUp < 100) || (eDn < 100))
continue;
bkE.push_back(eBk);
udE.push_back(eUp + eDn);
}
}
if (bkE.size() < 5)
continue; // not enough statistics
// Build graph with errors
const double fixedError = 0.0; // ADC channels
std::vector<double> exVals(udE.size(), 0.0); // no x error
std::vector<double> eyVals(udE.size(), fixedError); // constant y error
TGraphErrors g(udE.size(), udE.data(), bkE.data(),
exVals.data(), eyVals.data());
TF1 f("f", "[0]*x", 0, 16000);
// f.SetParameter(0, 1.0); // initial slope
if (drawCanvases)
{
g.SetTitle(Form("Detector %d Back %d: (Up+Dn) vs Back", id, bk));
g.SetMarkerStyle(20);
g.SetMarkerColor(kBlue);
g.Draw("AP");
g.Fit(&f, interactiveMode ? "Q" : "QNR");
if (verboseFit)
{
double chi2 = f.GetChisquare();
int ndf = f.GetNDF();
double reducedChi2 = (ndf != 0) ? chi2 / ndf : -1;
std::cout << Form("Det%d Back%d → Slope: %.4f | χ²/ndf = %.2f/%d = %.2f",
id, bk, f.GetParameter(0), chi2, ndf, reducedChi2)
<< std::endl;
}
if (interactiveMode)
{
c.Update();
gPad->WaitPrimitive();
}
else
{
c.Close();
}
}
else
{
g.Fit(&f, "QNR");
}
double slope = 1 / f.GetParameter(0);
if (std::abs(slope - 1.0) < 0.3) // sanity check
{
backSlope[id][bk] = slope;
backSlopeValid[id][bk] = true;
outFile << id << " " << bk << " " << slope << "\n";
printf("Back slope Det%d Bk%d → %.4f\n", id, bk, slope);
}
else
{
std::cerr << "Warning: Bad slope for Det" << id << " Bk" << bk
<< " slope=" << slope << std::endl;
}
}
}
outFile.close();
std::cout << "Back gain matching complete." << std::endl;
// === Create histograms ===
TH2F *hFVB = new TH2F("hFVB", "Corrected Up+Dn vs Corrected Back;Up+Dn E;Corrected Back E",
600, 0, 16000, 600, 0, 16000);
TH2F *hAsym = new TH2F("hAsym", "Up vs Dn divide corrected back;Up/Back E;Dn/Back E",
400, 0.0, 1.0, 400, 0.0, 1.0);
TH2F *hAsymUnorm = new TH2F("hAsymUnorm", "Up vs Dn;Up E;Dn E",
800, 0.0, 4000.0, 800, 0.0, 4000.0);
// Fill histograms using corrected back energies
for (const auto &kv : dataPoints)
{
auto [id, bk, u, d] = kv.first;
if (!backSlopeValid[id][bk])
continue;
double slope = backSlope[id][bk];
for (const auto &pr : kv.second)
{
double eBk, eUp, eDn;
std::tie(eBk, eUp, eDn) = pr;
double updn = eUp + eDn;
if (updn == 0 || eBk == 0)
continue;
double correctedBack = eBk * slope;
double asym = (eUp - eDn) / updn;
hFVB->Fill(updn, correctedBack);
hAsym->Fill(eUp / correctedBack, eDn / correctedBack);
hAsymUnorm->Fill(eUp, eDn);
TString histNamex = Form("CorrBack_id%d_U%d-D%dvsB%d", id, u, d, bk);
TH2F *hist2dx = (TH2F *)gDirectory->Get(histNamex);
if (!hist2dx)
{
hist2dx = new TH2F(histNamex, histNamex,
800, -1, 1, 800, 0, 4000);
}
hist2dx->Fill((eUp - eDn) / (eUp + eDn), correctedBack);
}
}
// plotter.FlushToDisk();
}