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GPUQA.cxx
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1// Copyright 2019-2020 CERN and copyright holders of ALICE O2.
2// See https://alice-o2.web.cern.ch/copyright for details of the copyright holders.
3// All rights not expressly granted are reserved.
4//
5// This software is distributed under the terms of the GNU General Public
6// License v3 (GPL Version 3), copied verbatim in the file "COPYING".
7//
8// In applying this license CERN does not waive the privileges and immunities
9// granted to it by virtue of its status as an Intergovernmental Organization
10// or submit itself to any jurisdiction.
11
14
15#define QA_DEBUG 0
16#define QA_TIMING 0
17
18#include "Rtypes.h" // Include ROOT header first, to use ROOT and disable replacements
19
20#include "TH1F.h"
21#include "TH2F.h"
22#include "TH1D.h"
23#include "TGraphAsymmErrors.h"
24#include "TCanvas.h"
25#include "TPad.h"
26#include "TLegend.h"
27#include "TColor.h"
28#include "TPaveText.h"
29#include "TF1.h"
30#include "TFile.h"
31#include "TTree.h"
32#include "TStyle.h"
33#include "TLatex.h"
34#include "TObjArray.h"
35#include <sys/stat.h>
36
37#include "GPUQA.h"
38#include "GPUTPCDef.h"
39#include "GPUTPCTrackingData.h"
40#include "GPUChainTracking.h"
41#include "GPUChainTrackingGetters.inc"
42#include "GPUTPCTrack.h"
43#include "GPUTPCTracker.h"
44#include "GPUTPCGMMergedTrack.h"
45#include "GPUTPCGMPropagator.h"
46#include "AliHLTTPCClusterMCData.h"
47#include "GPUTPCMCInfo.h"
48#include "GPUO2DataTypes.h"
49#include "GPUParam.inc"
50#include "GPUTPCClusterRejection.h"
51#include "GPUTPCConvertImpl.h"
52#include "TPCFastTransform.h"
53#include "CorrectionMapsHelper.h"
54#include "GPUROOTDump.h"
55#include "SimulationDataFormat/ConstMCTruthContainer.h"
56#include "SimulationDataFormat/MCCompLabel.h"
57#include "GPUSettings.h"
58#include "GPUDefMacros.h"
59#ifdef GPUCA_O2_LIB
60#include "DetectorsRaw/HBFUtils.h"
61#include "DataFormatsTPC/TrackTPC.h"
62#include "DataFormatsTPC/Constants.h"
63#include "SimulationDataFormat/MCTrack.h"
64#include "SimulationDataFormat/TrackReference.h"
65#include "SimulationDataFormat/DigitizationContext.h"
66#include "DetectorsCommonDataFormats/DetID.h"
67#include "CommonUtils/NameConf.h"
68#include "Steer/MCKinematicsReader.h"
69#include "TPDGCode.h"
70#include "TParticlePDG.h"
71#include "TDatabasePDG.h"
72#endif
73#include "GPUQAHelper.h"
74#include <algorithm>
75#include <cstdio>
76#include <cinttypes>
77#include <fstream>
78
79#include "utils/timer.h"
80
81#include <oneapi/tbb.h>
82
83using namespace o2::gpu;
84
85namespace o2::gpu
86{
87struct checkClusterStateResult {
88 bool unattached = false;
89 float qpt = 0.f;
90 bool lowPt = false;
91 bool mev200 = false;
92 bool mergedLooperUnconnected = false;
93 bool mergedLooperConnected = false;
94 int32_t id = 0;
95 bool physics = false, protect = false;
96};
97} // namespace o2::gpu
98
99template <bool COUNT, class T>
100inline checkClusterStateResult GPUQA::checkClusterState(uint32_t attach, T* counts) const
101{
102 checkClusterStateResult r;
103 r.unattached = attach == 0;
104 r.id = attach & gputpcgmmergertypes::attachTrackMask;
105 if (!r.unattached && !(attach & gputpcgmmergertypes::attachProtect)) {
106 r.qpt = fabsf(mTracking->mIOPtrs.mergedTracks[r.id].GetParam().GetQPt());
107 r.lowPt = r.qpt * mTracking->GetParam().qptB5Scaler > mTracking->GetParam().rec.tpc.rejectQPtB5;
108 r.mev200 = r.qpt > 5;
109 r.mergedLooperUnconnected = mTracking->mIOPtrs.mergedTracks[r.id].MergedLooperUnconnected();
110 r.mergedLooperConnected = mTracking->mIOPtrs.mergedTracks[r.id].MergedLooperConnected();
111 }
112 if (r.mev200) {
113 if constexpr (COUNT) {
114 counts->n200MeV++;
115 }
116 }
117 if (r.lowPt) {
118 if constexpr (COUNT) {
119 counts->nLowPt++;
120 }
121 } else if (r.mergedLooperUnconnected) {
122 if constexpr (COUNT) {
123 counts->nMergedLooperUnconnected++;
124 }
125 } else if (r.mergedLooperConnected) {
126 if constexpr (COUNT) {
127 counts->nMergedLooperConnected++;
128 }
129 } else if (attach) {
130 r.protect = !GPUTPCClusterRejection::GetRejectionStatus<COUNT>(attach, r.physics, counts, &r.mev200) && ((attach & gputpcgmmergertypes::attachProtect) || !GPUTPCClusterRejection::IsTrackRejected(mTracking->mIOPtrs.mergedTracks[r.id], mTracking->GetParam()));
131 }
132 return r;
133}
134
135static const GPUSettingsQA& GPUQA_GetConfig(GPUChainTracking* chain)
136{
137 static GPUSettingsQA defaultConfig;
138 if (chain && chain->mConfigQA) {
139 return *chain->mConfigQA;
140 } else {
141 return defaultConfig;
142 }
143}
144
145static const constexpr float LOG_PT_MIN = -1.;
146
147static constexpr float Y_MAX = 40;
148static constexpr float Z_MAX = 100;
149static constexpr float PT_MIN = 0.01; // TODO: Take from Param
150static constexpr float PT_MIN_PRIM = 0.1;
151static constexpr float PT_MIN_CLUST = 0.01;
152static constexpr float PT_MAX = 20;
153static constexpr float ETA_MAX = 1.5;
154static constexpr float ETA_MAX2 = 0.9;
155static constexpr int32_t PADROW_CHECK_MINCLS = 50;
156
157static constexpr bool CLUST_HIST_INT_SUM = false;
158
159static constexpr const int32_t COLORCOUNT = 12;
160
161static const constexpr char* EFF_TYPES[6] = {"Rec", "Clone", "Fake", "All", "RecAndClone", "MC"};
162static const constexpr char* FINDABLE_NAMES[2] = {"All", "Findable"};
163static const constexpr char* PRIM_NAMES[2] = {"Prim", "Sec"};
164static const constexpr char* PARAMETER_NAMES[5] = {"Y", "Z", "#Phi", "#lambda", "Relative #it{p}_{T}"};
165static const constexpr char* PARAMETER_NAMES_NATIVE[5] = {"Y", "Z", "sin(#Phi)", "tan(#lambda)", "q/#it{p}_{T} (curvature)"};
166static const constexpr char* VSPARAMETER_NAMES[6] = {"Y", "Z", "Phi", "Eta", "Pt", "Pt_log"};
167static const constexpr char* EFF_NAMES[3] = {"Efficiency", "Clone Rate", "Fake Rate"};
168static const constexpr char* EFFICIENCY_TITLES[4] = {"Efficiency (Primary Tracks, Findable)", "Efficiency (Secondary Tracks, Findable)", "Efficiency (Primary Tracks)", "Efficiency (Secondary Tracks)"};
169static const constexpr double SCALE[5] = {10., 10., 1000., 1000., 100.};
170static const constexpr double SCALE_NATIVE[5] = {10., 10., 1000., 1000., 1.};
171static const constexpr char* XAXIS_TITLES[5] = {"#it{y}_{mc} (cm)", "#it{z}_{mc} (cm)", "#Phi_{mc} (rad)", "#eta_{mc}", "#it{p}_{Tmc} (GeV/#it{c})"};
172static const constexpr char* AXIS_TITLES[5] = {"#it{y}-#it{y}_{mc} (mm) (Resolution)", "#it{z}-#it{z}_{mc} (mm) (Resolution)", "#phi-#phi_{mc} (mrad) (Resolution)", "#lambda-#lambda_{mc} (mrad) (Resolution)", "(#it{p}_{T} - #it{p}_{Tmc}) / #it{p}_{Tmc} (%) (Resolution)"};
173static const constexpr char* AXIS_TITLES_NATIVE[5] = {"#it{y}-#it{y}_{mc} (mm) (Resolution)", "#it{z}-#it{z}_{mc} (mm) (Resolution)", "sin(#phi)-sin(#phi_{mc}) (Resolution)", "tan(#lambda)-tan(#lambda_{mc}) (Resolution)", "q*(q/#it{p}_{T} - q/#it{p}_{Tmc}) (Resolution)"};
174static const constexpr char* AXIS_TITLES_PULL[5] = {"#it{y}-#it{y}_{mc}/#sigma_{y} (Pull)", "#it{z}-#it{z}_{mc}/#sigma_{z} (Pull)", "sin(#phi)-sin(#phi_{mc})/#sigma_{sin(#phi)} (Pull)", "tan(#lambda)-tan(#lambda_{mc})/#sigma_{tan(#lambda)} (Pull)",
175 "q*(q/#it{p}_{T} - q/#it{p}_{Tmc})/#sigma_{q/#it{p}_{T}} (Pull)"};
176static const constexpr char* CLUSTER_NAMES[GPUQA::N_CLS_HIST] = {"Correctly attached clusters", "Fake attached clusters", "Attached + adjacent clusters", "Fake adjacent clusters", "Clusters of reconstructed tracks", "Used in Physics", "Protected", "All clusters"};
177static const constexpr char* CLUSTER_TITLES[GPUQA::N_CLS_TYPE] = {"Clusters Pt Distribution / Attachment", "Clusters Pt Distribution / Attachment (relative to all clusters)", "Clusters Pt Distribution / Attachment (integrated)"};
178static const constexpr char* CLUSTER_NAMES_SHORT[GPUQA::N_CLS_HIST] = {"Attached", "Fake", "AttachAdjacent", "FakeAdjacent", "FoundTracks", "Physics", "Protected", "All"};
179static const constexpr char* CLUSTER_TYPES[GPUQA::N_CLS_TYPE] = {"", "Ratio", "Integral"};
180static const constexpr char* REJECTED_NAMES[3] = {"All", "Rejected", "Fraction"};
181static const constexpr int32_t COLORS_HEX[COLORCOUNT] = {0xB03030, 0x00A000, 0x0000C0, 0x9400D3, 0x19BBBF, 0xF25900, 0x7F7F7F, 0xFFD700, 0x07F707, 0x07F7F7, 0xF08080, 0x000000};
182
183static const constexpr int32_t CONFIG_DASHED_MARKERS = 0;
184
185static const constexpr float AXES_MIN[5] = {-Y_MAX, -Z_MAX, 0.f, -ETA_MAX, PT_MIN};
186static const constexpr float AXES_MAX[5] = {Y_MAX, Z_MAX, 2.f * M_PI, ETA_MAX, PT_MAX};
187static const constexpr int32_t AXIS_BINS[5] = {51, 51, 144, 31, 50};
188static const constexpr int32_t RES_AXIS_BINS[] = {1017, 113}; // Consecutive bin sizes, histograms are binned down until the maximum entry is 50, each bin size should evenly divide its predecessor.
189static const constexpr float RES_AXES[5] = {1., 1., 0.03, 0.03, 1.0};
190static const constexpr float RES_AXES_NATIVE[5] = {1., 1., 0.1, 0.1, 5.0};
191static const constexpr float PULL_AXIS = 10.f;
192
193std::vector<TColor*> GPUQA::mColors;
194int32_t GPUQA::initColors()
195{
196 mColors.reserve(COLORCOUNT);
197 for (int32_t i = 0; i < COLORCOUNT; i++) {
198 float f1 = (float)((COLORS_HEX[i] >> 16) & 0xFF) / (float)0xFF;
199 float f2 = (float)((COLORS_HEX[i] >> 8) & 0xFF) / (float)0xFF;
200 float f3 = (float)((COLORS_HEX[i] >> 0) & 0xFF) / (float)0xFF;
201 mColors.emplace_back(new TColor(10000 + i, f1, f2, f3));
202 }
203 return 0;
204}
205static constexpr Color_t defaultColorNums[COLORCOUNT] = {kRed, kBlue, kGreen, kMagenta, kOrange, kAzure, kBlack, kYellow, kGray, kTeal, kSpring, kPink};
206
207#define TRACK_EXPECTED_REFERENCE_X_DEFAULT 81
208#ifdef GPUCA_TPC_GEOMETRY_O2
209static inline int32_t GPUQA_O2_ConvertFakeLabel(int32_t label) { return label >= 0x7FFFFFFE ? -1 : label; }
210inline uint32_t GPUQA::GetNMCCollissions() const { return mMCInfosCol.size(); }
211inline uint32_t GPUQA::GetNMCTracks(int32_t iCol) const { return mMCInfosCol[iCol].num; }
212inline uint32_t GPUQA::GetNMCTracks(const mcLabelI_t& label) const { return mMCInfosCol[mMCEventOffset[label.getSourceID()] + label.getEventID()].num; }
213inline uint32_t GPUQA::GetNMCLabels() const { return mClNative->clustersMCTruth ? mClNative->clustersMCTruth->getIndexedSize() : 0; }
214inline const GPUQA::mcInfo_t& GPUQA::GetMCTrack(uint32_t iTrk, uint32_t iCol) { return mMCInfos[mMCInfosCol[iCol].first + iTrk]; }
215inline const GPUQA::mcInfo_t& GPUQA::GetMCTrack(const mcLabel_t& label) { return mMCInfos[mMCInfosCol[mMCEventOffset[label.getSourceID()] + label.getEventID()].first + label.getTrackID()]; }
216inline GPUQA::mcLabels_t GPUQA::GetMCLabel(uint32_t i) { return mClNative->clustersMCTruth->getLabels(i); }
217inline int32_t GPUQA::GetMCLabelNID(const mcLabels_t& label) { return label.size(); }
218inline int32_t GPUQA::GetMCLabelNID(uint32_t i) { return mClNative->clustersMCTruth->getLabels(i).size(); }
219inline GPUQA::mcLabel_t GPUQA::GetMCLabel(uint32_t i, uint32_t j) { return mClNative->clustersMCTruth->getLabels(i)[j]; }
220inline int32_t GPUQA::GetMCLabelID(uint32_t i, uint32_t j) { return GPUQA_O2_ConvertFakeLabel(mClNative->clustersMCTruth->getLabels(i)[j].getTrackID()); }
221inline int32_t GPUQA::GetMCLabelID(const mcLabels_t& label, uint32_t j) { return GPUQA_O2_ConvertFakeLabel(label[j].getTrackID()); }
222inline int32_t GPUQA::GetMCLabelID(const mcLabel_t& label) { return GPUQA_O2_ConvertFakeLabel(label.getTrackID()); }
223inline uint32_t GPUQA::GetMCLabelCol(uint32_t i, uint32_t j) { return mMCEventOffset[mClNative->clustersMCTruth->getLabels(i)[j].getSourceID()] + mClNative->clustersMCTruth->getLabels(i)[j].getEventID(); }
224inline const auto& GPUQA::GetClusterLabels() { return mClNative->clustersMCTruth; }
225inline float GPUQA::GetMCLabelWeight(uint32_t i, uint32_t j) { return 1; }
226inline float GPUQA::GetMCLabelWeight(const mcLabels_t& label, uint32_t j) { return 1; }
227inline float GPUQA::GetMCLabelWeight(const mcLabel_t& label) { return 1; }
228inline bool GPUQA::mcPresent() { return !mConfig.noMC && mTracking && mClNative && mClNative->clustersMCTruth && mMCInfos.size(); }
229uint32_t GPUQA::GetMCLabelCol(const mcLabel_t& label) const { return !label.isValid() ? 0 : (mMCEventOffset[label.getSourceID()] + label.getEventID()); }
230GPUQA::mcLabelI_t GPUQA::GetMCTrackLabel(uint32_t trackId) const { return trackId >= mTrackMCLabels.size() ? MCCompLabel() : mTrackMCLabels[trackId]; }
231bool GPUQA::CompareIgnoreFake(const mcLabelI_t& l1, const mcLabelI_t& l2) { return l1.compare(l2) >= 0; }
232#define TRACK_EXPECTED_REFERENCE_X 78
233#else
234inline GPUQA::mcLabelI_t::mcLabelI_t(const GPUQA::mcLabel_t& l) : track(l.fMCID) {}
235inline bool GPUQA::mcLabelI_t::operator==(const GPUQA::mcLabel_t& l) { return AbsLabelID(track) == l.fMCID; }
236inline uint32_t GPUQA::GetNMCCollissions() const { return 1; }
237inline uint32_t GPUQA::GetNMCTracks(int32_t iCol) const { return mTracking->mIOPtrs.nMCInfosTPC; }
238inline uint32_t GPUQA::GetNMCTracks(const mcLabelI_t& label) const { return mTracking->mIOPtrs.nMCInfosTPC; }
239inline uint32_t GPUQA::GetNMCLabels() const { return mTracking->mIOPtrs.nMCLabelsTPC; }
240inline const GPUQA::mcInfo_t& GPUQA::GetMCTrack(uint32_t iTrk, uint32_t iCol) { return mTracking->mIOPtrs.mcInfosTPC[AbsLabelID(iTrk)]; }
241inline const GPUQA::mcInfo_t& GPUQA::GetMCTrack(const mcLabel_t& label) { return GetMCTrack(label.fMCID, 0); }
242inline const GPUQA::mcInfo_t& GPUQA::GetMCTrack(const mcLabelI_t& label) { return GetMCTrack(label.track, 0); }
243inline const GPUQA::mcLabels_t& GPUQA::GetMCLabel(uint32_t i) { return mTracking->mIOPtrs.mcLabelsTPC[i]; }
244inline const GPUQA::mcLabel_t& GPUQA::GetMCLabel(uint32_t i, uint32_t j) { return mTracking->mIOPtrs.mcLabelsTPC[i].fClusterID[j]; }
245inline int32_t GPUQA::GetMCLabelNID(const mcLabels_t& label) { return 3; }
246inline int32_t GPUQA::GetMCLabelNID(uint32_t i) { return 3; }
247inline int32_t GPUQA::GetMCLabelID(uint32_t i, uint32_t j) { return mTracking->mIOPtrs.mcLabelsTPC[i].fClusterID[j].fMCID; }
248inline int32_t GPUQA::GetMCLabelID(const mcLabels_t& label, uint32_t j) { return label.fClusterID[j].fMCID; }
249inline int32_t GPUQA::GetMCLabelID(const mcLabel_t& label) { return label.fMCID; }
250inline uint32_t GPUQA::GetMCLabelCol(uint32_t i, uint32_t j) { return 0; }
251
252inline const auto& GPUQA::GetClusterLabels() { return mTracking->mIOPtrs.mcLabelsTPC; }
253inline float GPUQA::GetMCLabelWeight(uint32_t i, uint32_t j) { return mTracking->mIOPtrs.mcLabelsTPC[i].fClusterID[j].fWeight; }
254inline float GPUQA::GetMCLabelWeight(const mcLabels_t& label, uint32_t j) { return label.fClusterID[j].fWeight; }
255inline float GPUQA::GetMCLabelWeight(const mcLabel_t& label) { return label.fWeight; }
256inline int32_t GPUQA::FakeLabelID(int32_t id) { return id < 0 ? id : (-2 - id); }
257inline int32_t GPUQA::AbsLabelID(int32_t id) { return id >= 0 ? id : (-id - 2); }
258inline bool GPUQA::mcPresent() { return !mConfig.noMC && mTracking && GetNMCLabels() && GetNMCTracks(0); }
259uint32_t GPUQA::GetMCLabelCol(const mcLabel_t& label) const { return 0; }
260GPUQA::mcLabelI_t GPUQA::GetMCTrackLabel(uint32_t trackId) const { return trackId >= mTrackMCLabels.size() ? mcLabelI_t() : mTrackMCLabels[trackId]; }
261bool GPUQA::CompareIgnoreFake(const mcLabelI_t& l1, const mcLabelI_t& l2) { return AbsLabelID(l1) == AbsLabelID(l2); }
262#define TRACK_EXPECTED_REFERENCE_X TRACK_EXPECTED_REFERENCE_X_DEFAULT
263#endif
264template <class T>
265inline auto& GPUQA::GetMCTrackObj(T& obj, const GPUQA::mcLabelI_t& l)
266{
267 return obj[mMCEventOffset[l.getSourceID()] + l.getEventID()][l.getTrackID()];
268}
269
270template <>
271auto GPUQA::getHistArray<TH1F>()
272{
273 return std::make_pair(mHist1D, &mHist1D_pos);
274}
275template <>
276auto GPUQA::getHistArray<TH2F>()
277{
278 return std::make_pair(mHist2D, &mHist2D_pos);
279}
280template <>
281auto GPUQA::getHistArray<TH1D>()
282{
283 return std::make_pair(mHist1Dd, &mHist1Dd_pos);
284}
285template <>
286auto GPUQA::getHistArray<TGraphAsymmErrors>()
287{
288 return std::make_pair(mHistGraph, &mHistGraph_pos);
289}
290template <class T, typename... Args>
291void GPUQA::createHist(T*& h, const char* name, Args... args)
292{
293 const auto& p = getHistArray<T>();
294 if (mHaveExternalHists) {
295 if (p.first->size() <= p.second->size()) {
296 GPUError("Array sizes mismatch: Histograms %lu <= Positions %lu", p.first->size(), p.second->size());
297 throw std::runtime_error("Incoming histogram array incomplete");
298 }
299 if (strcmp((*p.first)[p.second->size()].GetName(), name)) {
300 GPUError("Histogram name mismatch: in array %s, trying to create %s", (*p.first)[p.second->size()].GetName(), name);
301 throw std::runtime_error("Incoming histogram has incorrect name");
302 }
303 } else {
304 if constexpr (std::is_same_v<T, TGraphAsymmErrors>) {
305 p.first->emplace_back();
306 p.first->back().SetName(name);
307 } else {
308 p.first->emplace_back(name, args...);
309 }
310 }
311 h = &((*p.first)[p.second->size()]);
312 p.second->emplace_back(&h);
313}
314
315namespace o2::gpu::internal
316{
317struct GPUQAGarbageCollection {
318 std::tuple<std::vector<std::unique_ptr<TCanvas>>, std::vector<std::unique_ptr<TLegend>>, std::vector<std::unique_ptr<TPad>>, std::vector<std::unique_ptr<TLatex>>, std::vector<std::unique_ptr<TH1D>>> v;
319};
320} // namespace o2::gpu::internal
321
322template <class T, typename... Args>
323T* GPUQA::createGarbageCollected(Args... args)
324{
325 auto& v = std::get<std::vector<std::unique_ptr<T>>>(mGarbageCollector->v);
326 v.emplace_back(std::make_unique<T>(args...));
327 return v.back().get();
328}
329void GPUQA::clearGarbagageCollector()
330{
331 std::get<std::vector<std::unique_ptr<TPad>>>(mGarbageCollector->v).clear(); // Make sure to delete TPad first due to ROOT ownership (std::tuple has no defined order in its destructor)
332 std::apply([](auto&&... args) { ((args.clear()), ...); }, mGarbageCollector->v);
333}
334
335GPUQA::GPUQA(GPUChainTracking* chain, const GPUSettingsQA* config, const GPUParam* param) : mTracking(chain), mConfig(config ? *config : GPUQA_GetConfig(chain)), mParam(param ? param : &chain->GetParam()), mGarbageCollector(std::make_unique<internal::GPUQAGarbageCollection>())
336{
337 mMCEventOffset.resize(1, 0);
338}
339
340GPUQA::~GPUQA()
341{
342 if (mQAInitialized && !mHaveExternalHists) {
343 delete mHist1D;
344 delete mHist2D;
345 delete mHist1Dd;
346 delete mHistGraph;
347 }
348 clearGarbagageCollector(); // Needed to guarantee correct order for ROOT ownership
349}
350
351bool GPUQA::clusterRemovable(int32_t attach, bool prot) const
352{
353 const auto& r = checkClusterState<false>(attach);
354 if (prot) {
355 return r.protect || r.physics;
356 }
357 return (!r.unattached && !r.physics && !r.protect);
358}
359
360template <class T>
361void GPUQA::SetAxisSize(T* e)
362{
363 e->GetYaxis()->SetTitleOffset(1.0);
364 e->GetYaxis()->SetTitleSize(0.045);
365 e->GetYaxis()->SetLabelSize(0.045);
366 e->GetXaxis()->SetTitleOffset(1.03);
367 e->GetXaxis()->SetTitleSize(0.045);
368 e->GetXaxis()->SetLabelOffset(-0.005);
369 e->GetXaxis()->SetLabelSize(0.045);
370}
371
372void GPUQA::SetLegend(TLegend* l, bool bigText)
373{
374 l->SetTextFont(72);
375 l->SetTextSize(bigText ? 0.03 : 0.016);
376 l->SetFillColor(0);
377}
378
379double* GPUQA::CreateLogAxis(int32_t nbins, float xmin, float xmax)
380{
381 float logxmin = std::log10(xmin);
382 float logxmax = std::log10(xmax);
383 float binwidth = (logxmax - logxmin) / nbins;
384
385 double* xbins = new double[nbins + 1];
386
387 xbins[0] = xmin;
388 for (int32_t i = 1; i <= nbins; i++) {
389 xbins[i] = std::pow(10, logxmin + i * binwidth);
390 }
391 return xbins;
392}
393
394void GPUQA::ChangePadTitleSize(TPad* p, float size)
395{
396 p->Update();
397 TPaveText* pt = (TPaveText*)(p->GetPrimitive("title"));
398 if (pt == nullptr) {
399 GPUError("Error changing title");
400 } else {
401 pt->SetTextSize(size);
402 p->Modified();
403 }
404}
405
406void GPUQA::DrawHisto(TH1* histo, char* filename, char* options)
407{
408 TCanvas tmp;
409 tmp.cd();
410 histo->Draw(options);
411 tmp.Print(filename);
412}
413
414void GPUQA::doPerfFigure(float x, float y, float size)
415{
416 const char* str_perf_figure_1 = "ALICE Performance";
417 const char* str_perf_figure_2_mc = "MC, Pb#minusPb, #sqrt{s_{NN}} = 5.36 TeV";
418 const char* str_perf_figure_2_data = "Pb#minusPb, #sqrt{s_{NN}} = 5.36 TeV";
419
420 if (mConfig.perfFigure == 0) {
421 return;
422 }
423 TLatex* t = createGarbageCollected<TLatex>(); // TODO: We could perhaps put everything in a legend, to get a white background if there is a grid
424 t->SetNDC(kTRUE);
425 t->SetTextColor(1);
426 t->SetTextSize(size);
427 t->DrawLatex(x, y, str_perf_figure_1);
428 t->SetTextSize(size * 0.8);
429 t->DrawLatex(x, y - 0.01 - size, mConfig.perfFigure > 0 ? str_perf_figure_2_mc : str_perf_figure_2_data);
430}
431
432void GPUQA::SetMCTrackRange(int32_t min, int32_t max)
433{
434 mMCTrackMin = min;
435 mMCTrackMax = max;
436}
437
438int32_t GPUQA::InitQACreateHistograms()
439{
440 char name[2048], fname[1024];
441 if (mQATasks & taskTrackingEff) {
442 // Create Efficiency Histograms
443 for (int32_t i = 0; i < 6; i++) {
444 for (int32_t j = 0; j < 2; j++) {
445 for (int32_t k = 0; k < 2; k++) {
446 for (int32_t l = 0; l < 5; l++) {
447 snprintf(name, 2048, "%s%s%s%sVs%s", "tracks", EFF_TYPES[i], FINDABLE_NAMES[j], PRIM_NAMES[k], VSPARAMETER_NAMES[l]);
448 if (l == 4) {
449 std::unique_ptr<double[]> binsPt{CreateLogAxis(AXIS_BINS[4], k == 0 ? PT_MIN_PRIM : AXES_MIN[4], AXES_MAX[4])};
450 createHist(mEff[i][j][k][l], name, name, AXIS_BINS[l], binsPt.get());
451 } else {
452 createHist(mEff[i][j][k][l], name, name, AXIS_BINS[l], AXES_MIN[l], AXES_MAX[l]);
453 }
454 if (!mHaveExternalHists) {
455 mEff[i][j][k][l]->Sumw2();
456 }
457 strcat(name, "_eff");
458 if (i < 4) {
459 createHist(mEffResult[i][j][k][l], name);
460 }
461 }
462 }
463 }
464 }
465 }
466
467 // Create Resolution Histograms
468 if (mQATasks & taskTrackingRes) {
469 for (int32_t i = 0; i < 5; i++) {
470 for (int32_t j = 0; j < 5; j++) {
471 snprintf(name, 2048, "rms_%s_vs_%s", VSPARAMETER_NAMES[i], VSPARAMETER_NAMES[j]);
472 snprintf(fname, 1024, "mean_%s_vs_%s", VSPARAMETER_NAMES[i], VSPARAMETER_NAMES[j]);
473 if (j == 4) {
474 std::unique_ptr<double[]> binsPt{CreateLogAxis(AXIS_BINS[4], mConfig.resPrimaries == 1 ? PT_MIN_PRIM : AXES_MIN[4], AXES_MAX[4])};
475 createHist(mRes[i][j][0], name, name, AXIS_BINS[j], binsPt.get());
476 createHist(mRes[i][j][1], fname, fname, AXIS_BINS[j], binsPt.get());
477 } else {
478 createHist(mRes[i][j][0], name, name, AXIS_BINS[j], AXES_MIN[j], AXES_MAX[j]);
479 createHist(mRes[i][j][1], fname, fname, AXIS_BINS[j], AXES_MIN[j], AXES_MAX[j]);
480 }
481 snprintf(name, 2048, "res_%s_vs_%s", VSPARAMETER_NAMES[i], VSPARAMETER_NAMES[j]);
482 const float* axis = mConfig.nativeFitResolutions ? RES_AXES_NATIVE : RES_AXES;
483 const int32_t nbins = i == 4 && mConfig.nativeFitResolutions ? (10 * RES_AXIS_BINS[0]) : RES_AXIS_BINS[0];
484 if (j == 4) {
485 std::unique_ptr<double[]> binsPt{CreateLogAxis(AXIS_BINS[4], mConfig.resPrimaries == 1 ? PT_MIN_PRIM : AXES_MIN[4], AXES_MAX[4])};
486 createHist(mRes2[i][j], name, name, nbins, -axis[i], axis[i], AXIS_BINS[j], binsPt.get());
487 } else {
488 createHist(mRes2[i][j], name, name, nbins, -axis[i], axis[i], AXIS_BINS[j], AXES_MIN[j], AXES_MAX[j]);
489 }
490 }
491 }
492 }
493
494 // Create Pull Histograms
495 if (mQATasks & taskTrackingResPull) {
496 for (int32_t i = 0; i < 5; i++) {
497 for (int32_t j = 0; j < 5; j++) {
498 snprintf(name, 2048, "pull_rms_%s_vs_%s", VSPARAMETER_NAMES[i], VSPARAMETER_NAMES[j]);
499 snprintf(fname, 1024, "pull_mean_%s_vs_%s", VSPARAMETER_NAMES[i], VSPARAMETER_NAMES[j]);
500 if (j == 4) {
501 std::unique_ptr<double[]> binsPt{CreateLogAxis(AXIS_BINS[4], AXES_MIN[4], AXES_MAX[4])};
502 createHist(mPull[i][j][0], name, name, AXIS_BINS[j], binsPt.get());
503 createHist(mPull[i][j][1], fname, fname, AXIS_BINS[j], binsPt.get());
504 } else {
505 createHist(mPull[i][j][0], name, name, AXIS_BINS[j], AXES_MIN[j], AXES_MAX[j]);
506 createHist(mPull[i][j][1], fname, fname, AXIS_BINS[j], AXES_MIN[j], AXES_MAX[j]);
507 }
508 snprintf(name, 2048, "pull_%s_vs_%s", VSPARAMETER_NAMES[i], VSPARAMETER_NAMES[j]);
509 if (j == 4) {
510 std::unique_ptr<double[]> binsPt{CreateLogAxis(AXIS_BINS[4], AXES_MIN[4], AXES_MAX[4])};
511 createHist(mPull2[i][j], name, name, RES_AXIS_BINS[0], -PULL_AXIS, PULL_AXIS, AXIS_BINS[j], binsPt.get());
512 } else {
513 createHist(mPull2[i][j], name, name, RES_AXIS_BINS[0], -PULL_AXIS, PULL_AXIS, AXIS_BINS[j], AXES_MIN[j], AXES_MAX[j]);
514 }
515 }
516 }
517 }
518
519 // Create Cluster Histograms
520 if (mQATasks & taskClusterAttach) {
521 for (int32_t i = 0; i < N_CLS_TYPE * N_CLS_HIST - 1; i++) {
522 int32_t ioffset = i >= (2 * N_CLS_HIST - 1) ? (2 * N_CLS_HIST - 1) : i >= N_CLS_HIST ? N_CLS_HIST : 0;
523 int32_t itype = i >= (2 * N_CLS_HIST - 1) ? 2 : i >= N_CLS_HIST ? 1 : 0;
524 snprintf(name, 2048, "clusters%s%s", CLUSTER_NAMES_SHORT[i - ioffset], CLUSTER_TYPES[itype]);
525 std::unique_ptr<double[]> binsPt{CreateLogAxis(AXIS_BINS[4], PT_MIN_CLUST, PT_MAX)};
526 createHist(mClusters[i], name, name, AXIS_BINS[4], binsPt.get());
527 }
528
529 createHist(mPadRow[0], "padrow0", "padrow0", GPUCA_ROW_COUNT - PADROW_CHECK_MINCLS, 0, GPUCA_ROW_COUNT - 1 - PADROW_CHECK_MINCLS, GPUCA_ROW_COUNT - PADROW_CHECK_MINCLS, 0, GPUCA_ROW_COUNT - 1 - PADROW_CHECK_MINCLS);
530 createHist(mPadRow[1], "padrow1", "padrow1", 100.f, -0.2f, 0.2f, GPUCA_ROW_COUNT - PADROW_CHECK_MINCLS, 0, GPUCA_ROW_COUNT - 1 - PADROW_CHECK_MINCLS);
531 createHist(mPadRow[2], "padrow2", "padrow2", 100.f, -0.2f, 0.2f, GPUCA_ROW_COUNT - PADROW_CHECK_MINCLS, 0, GPUCA_ROW_COUNT - 1 - PADROW_CHECK_MINCLS);
532 createHist(mPadRow[3], "padrow3", "padrow3", 100.f, 0, 300000, GPUCA_ROW_COUNT - PADROW_CHECK_MINCLS, 0, GPUCA_ROW_COUNT - 1 - PADROW_CHECK_MINCLS);
533 }
534
535 if (mQATasks & taskTrackStatistics) {
536 // Create Tracks Histograms
537 for (int32_t i = 0; i < 2; i++) {
538 snprintf(name, 2048, i ? "nrows_with_cluster" : "nclusters");
539 createHist(mNCl[i], name, name, 160, 0, 159);
540 }
541 std::unique_ptr<double[]> binsPt{CreateLogAxis(AXIS_BINS[4], PT_MIN_CLUST, PT_MAX)};
542 createHist(mTracks, "tracks_pt", "tracks_pt", AXIS_BINS[4], binsPt.get());
543 const uint32_t maxTime = (mTracking && mTracking->GetParam().continuousMaxTimeBin > 0) ? mTracking->GetParam().continuousMaxTimeBin : TPC_MAX_TIME_BIN_TRIGGERED;
544 createHist(mT0[0], "tracks_t0", "tracks_t0", (maxTime + 1) / 10, 0, maxTime);
545 createHist(mT0[1], "tracks_t0_res", "tracks_t0_res", 1000, -100, 100);
546 createHist(mClXY, "clXY", "clXY", 1000, -250, 250, 1000, -250, 250); // TODO: Pass name only once
547 }
548 if (mQATasks & taskClusterRejection) {
549 const int padCount = GPUTPCGeometry::NPads(GPUCA_ROW_COUNT - 1);
550 for (int32_t i = 0; i < 3; i++) {
551 snprintf(name, 2048, "clrej_%d", i);
552 createHist(mClRej[i], name, name, 2 * padCount, -padCount / 2 + 0.5f, padCount / 2 - 0.5f, GPUCA_ROW_COUNT, 0, GPUCA_ROW_COUNT - 1);
553 }
554 createHist(mClRejP, "clrejp", "clrejp", GPUCA_ROW_COUNT, 0, GPUCA_ROW_COUNT - 1);
555 }
556
557 if ((mQATasks & taskClusterCounts) && mConfig.clusterRejectionHistograms) {
558 int32_t num = DoClusterCounts(nullptr, 2);
559 mHistClusterCount.resize(num);
560 DoClusterCounts(nullptr, 1);
561 }
562
563 for (uint32_t i = 0; i < mHist1D->size(); i++) {
564 *mHist1D_pos[i] = &(*mHist1D)[i];
565 }
566 for (uint32_t i = 0; i < mHist2D->size(); i++) {
567 *mHist2D_pos[i] = &(*mHist2D)[i];
568 }
569 for (uint32_t i = 0; i < mHist1Dd->size(); i++) {
570 *mHist1Dd_pos[i] = &(*mHist1Dd)[i];
571 }
572 for (uint32_t i = 0; i < mHistGraph->size(); i++) {
573 *mHistGraph_pos[i] = &(*mHistGraph)[i];
574 }
575
576 return 0;
577}
578
579int32_t GPUQA::loadHistograms(std::vector<TH1F>& i1, std::vector<TH2F>& i2, std::vector<TH1D>& i3, std::vector<TGraphAsymmErrors>& i4, int32_t tasks)
580{
581 if (tasks == tasksAutomatic) {
582 tasks = tasksDefaultPostprocess;
583 }
584 if (mQAInitialized && (!mHaveExternalHists || tasks != mQATasks)) {
585 throw std::runtime_error("QA not initialized or initialized with different task array");
586 }
587 mHist1D = &i1;
588 mHist2D = &i2;
589 mHist1Dd = &i3;
590 mHistGraph = &i4;
591 mHist1D_pos.clear();
592 mHist2D_pos.clear();
593 mHist1Dd_pos.clear();
594 mHistGraph_pos.clear();
595 mHaveExternalHists = true;
596 if (mConfig.noMC) {
597 tasks &= tasksAllNoQC;
598 }
599 mQATasks = tasks;
600 if (InitQACreateHistograms()) {
601 return 1;
602 }
603 mQAInitialized = true;
604 return 0;
605}
606
607void GPUQA::DumpO2MCData(const char* filename) const
608{
609 FILE* fp = fopen(filename, "w+b");
610 if (fp == nullptr) {
611 return;
612 }
613 uint32_t n = mMCInfos.size();
614 fwrite(&n, sizeof(n), 1, fp);
615 fwrite(mMCInfos.data(), sizeof(mMCInfos[0]), n, fp);
616 n = mMCInfosCol.size();
617 fwrite(&n, sizeof(n), 1, fp);
618 fwrite(mMCInfosCol.data(), sizeof(mMCInfosCol[0]), n, fp);
619 n = mMCEventOffset.size();
620 fwrite(&n, sizeof(n), 1, fp);
621 fwrite(mMCEventOffset.data(), sizeof(mMCEventOffset[0]), n, fp);
622 fclose(fp);
623}
624
625int32_t GPUQA::ReadO2MCData(const char* filename)
626{
627 FILE* fp = fopen(filename, "rb");
628 if (fp == nullptr) {
629 return 1;
630 }
631 uint32_t n;
632 uint32_t x;
633 if ((x = fread(&n, sizeof(n), 1, fp)) != 1) {
634 fclose(fp);
635 return 1;
636 }
637 mMCInfos.resize(n);
638 if (fread(mMCInfos.data(), sizeof(mMCInfos[0]), n, fp) != n) {
639 fclose(fp);
640 return 1;
641 }
642 if ((x = fread(&n, sizeof(n), 1, fp)) != 1) {
643 fclose(fp);
644 return 1;
645 }
646 mMCInfosCol.resize(n);
647 if (fread(mMCInfosCol.data(), sizeof(mMCInfosCol[0]), n, fp) != n) {
648 fclose(fp);
649 return 1;
650 }
651 if ((x = fread(&n, sizeof(n), 1, fp)) != 1) {
652 fclose(fp);
653 return 1;
654 }
655 mMCEventOffset.resize(n);
656 if (fread(mMCEventOffset.data(), sizeof(mMCEventOffset[0]), n, fp) != n) {
657 fclose(fp);
658 return 1;
659 }
660 if (mTracking && mTracking->GetProcessingSettings().debugLevel >= 2) {
661 printf("Read %ld bytes MC Infos\n", ftell(fp));
662 }
663 fclose(fp);
664 if (mTracking) {
665 CopyO2MCtoIOPtr(&mTracking->mIOPtrs);
666 }
667 return 0;
668}
669
670void GPUQA::CopyO2MCtoIOPtr(GPUTrackingInOutPointers* ptr)
671{
672 ptr->mcInfosTPC = mMCInfos.data();
673 ptr->nMCInfosTPC = mMCInfos.size();
674 ptr->mcInfosTPCCol = mMCInfosCol.data();
675 ptr->nMCInfosTPCCol = mMCInfosCol.size();
676}
677
678void GPUQA::InitO2MCData(GPUTrackingInOutPointers* updateIOPtr)
679{
680#ifdef GPUCA_O2_LIB
681 if (!mO2MCDataLoaded) {
682 HighResTimer timer(mTracking && mTracking->GetProcessingSettings().debugLevel);
683 if (mTracking && mTracking->GetProcessingSettings().debugLevel) {
684 GPUInfo("Start reading O2 Track MC information");
685 }
686 static constexpr float PRIM_MAX_T = 0.01f;
687
688 o2::steer::MCKinematicsReader mcReader("collisioncontext.root");
689 std::vector<int32_t> refId;
690
691 auto dc = o2::steer::DigitizationContext::loadFromFile("collisioncontext.root");
692 const auto& evrec = dc->getEventRecords();
693 const auto& evparts = dc->getEventParts();
694 std::vector<std::vector<float>> evTimeBins(mcReader.getNSources());
695 for (uint32_t i = 0; i < evTimeBins.size(); i++) {
696 evTimeBins[i].resize(mcReader.getNEvents(i), -100.f);
697 }
698 for (uint32_t i = 0; i < evrec.size(); i++) {
699 const auto& ir = evrec[i];
700 for (uint32_t j = 0; j < evparts[i].size(); j++) {
701 const int iSim = evparts[i][j].sourceID;
702 const int iEv = evparts[i][j].entryID;
703 if (iSim == o2::steer::QEDSOURCEID || ir.differenceInBC(o2::raw::HBFUtils::Instance().getFirstIR()) >= 0) {
704 auto ir0 = o2::raw::HBFUtils::Instance().getFirstIRofTF(ir);
705 float timebin = (float)ir.differenceInBC(ir0) / o2::tpc::constants::LHCBCPERTIMEBIN;
706 if (evTimeBins[iSim][iEv] >= 0) {
707 throw std::runtime_error("Multiple time bins for same MC collision found");
708 }
709 evTimeBins[iSim][iEv] = timebin;
710 }
711 }
712 }
713
714 uint32_t nSimSources = mcReader.getNSources();
715 mMCEventOffset.resize(nSimSources);
716 uint32_t nSimTotalEvents = 0;
717 uint32_t nSimTotalTracks = 0;
718 for (uint32_t i = 0; i < nSimSources; i++) {
719 mMCEventOffset[i] = nSimTotalEvents;
720 nSimTotalEvents += mcReader.getNEvents(i);
721 }
722
723 mMCInfosCol.resize(nSimTotalEvents);
724 for (int32_t iSim = 0; iSim < mcReader.getNSources(); iSim++) {
725 for (int32_t i = 0; i < mcReader.getNEvents(iSim); i++) {
726 const float timebin = evTimeBins[iSim][i];
727
728 const std::vector<o2::MCTrack>& tracks = mcReader.getTracks(iSim, i);
729 const std::vector<o2::TrackReference>& trackRefs = mcReader.getTrackRefsByEvent(iSim, i);
730
731 refId.resize(tracks.size());
732 std::fill(refId.begin(), refId.end(), -1);
733 for (uint32_t j = 0; j < trackRefs.size(); j++) {
734 if (trackRefs[j].getDetectorId() == o2::detectors::DetID::TPC) {
735 int32_t trkId = trackRefs[j].getTrackID();
736 if (refId[trkId] == -1) {
737 refId[trkId] = j;
738 }
739 }
740 }
741 mMCInfosCol[mMCEventOffset[iSim] + i].first = mMCInfos.size();
742 mMCInfosCol[mMCEventOffset[iSim] + i].num = tracks.size();
743 mMCInfos.resize(mMCInfos.size() + tracks.size());
744 for (uint32_t j = 0; j < tracks.size(); j++) {
745 auto& info = mMCInfos[mMCInfosCol[mMCEventOffset[iSim] + i].first + j];
746 const auto& trk = tracks[j];
747 TParticlePDG* particle = TDatabasePDG::Instance()->GetParticle(trk.GetPdgCode());
748 Int_t pid = -1;
749 if (abs(trk.GetPdgCode()) == kElectron) {
750 pid = 0;
751 }
752 if (abs(trk.GetPdgCode()) == kMuonMinus) {
753 pid = 1;
754 }
755 if (abs(trk.GetPdgCode()) == kPiPlus) {
756 pid = 2;
757 }
758 if (abs(trk.GetPdgCode()) == kKPlus) {
759 pid = 3;
760 }
761 if (abs(trk.GetPdgCode()) == kProton) {
762 pid = 4;
763 }
764
765 info.charge = particle ? particle->Charge() : 0;
766 info.prim = trk.T() < PRIM_MAX_T;
767 info.primDaughters = 0;
768 if (trk.getFirstDaughterTrackId() != -1) {
769 for (int32_t k = trk.getFirstDaughterTrackId(); k <= trk.getLastDaughterTrackId(); k++) {
770 if (tracks[k].T() < PRIM_MAX_T) {
771 info.primDaughters = 1;
772 break;
773 }
774 }
775 }
776 info.pid = pid;
777 info.t0 = timebin;
778 if (refId[j] >= 0) {
779 const auto& trkRef = trackRefs[refId[j]];
780 info.x = trkRef.X();
781 info.y = trkRef.Y();
782 info.z = trkRef.Z();
783 info.pX = trkRef.Px();
784 info.pY = trkRef.Py();
785 info.pZ = trkRef.Pz();
786 info.genRadius = std::sqrt(trk.GetStartVertexCoordinatesX() * trk.GetStartVertexCoordinatesX() + trk.GetStartVertexCoordinatesY() * trk.GetStartVertexCoordinatesY() + trk.GetStartVertexCoordinatesZ() * trk.GetStartVertexCoordinatesZ());
787 } else {
788 info.x = info.y = info.z = info.pX = info.pY = info.pZ = 0;
789 info.genRadius = 0;
790 }
791 }
792 }
793 }
794 if (timer.IsRunning()) {
795 GPUInfo("Finished reading O2 Track MC information (%f seconds)", timer.GetCurrentElapsedTime());
796 }
797 mO2MCDataLoaded = true;
798 }
799 if (updateIOPtr) {
800 CopyO2MCtoIOPtr(updateIOPtr);
801 }
802#endif
803}
804
805int32_t GPUQA::InitQA(int32_t tasks)
806{
807 if (mQAInitialized) {
808 throw std::runtime_error("QA already initialized");
809 }
810 if (tasks == tasksAutomatic) {
811 tasks = tasksDefault;
812 }
813
814 mHist1D = new std::vector<TH1F>;
815 mHist2D = new std::vector<TH2F>;
816 mHist1Dd = new std::vector<TH1D>;
817 mHistGraph = new std::vector<TGraphAsymmErrors>;
818 if (mConfig.noMC) {
819 tasks &= tasksAllNoQC;
820 }
821 mQATasks = tasks;
822
823 if (mTracking->GetProcessingSettings().qcRunFraction != 100.f && mQATasks != taskClusterCounts) {
824 throw std::runtime_error("QA with qcRunFraction only supported for taskClusterCounts");
825 }
826
827 if (mTracking) {
828 mClNative = mTracking->mIOPtrs.clustersNative;
829 }
830
831 if (InitQACreateHistograms()) {
832 return 1;
833 }
834
835 if (mConfig.enableLocalOutput) {
836 mkdir(mConfig.plotsDir.c_str(), S_IRWXU | S_IRWXG | S_IROTH | S_IXOTH);
837 }
838
839#ifdef GPUCA_O2_LIB
840 if (!mConfig.noMC) {
841 InitO2MCData(mTracking ? &mTracking->mIOPtrs : nullptr);
842 }
843#endif
844
845 if (mConfig.matchMCLabels.size()) {
846 uint32_t nFiles = mConfig.matchMCLabels.size();
847 std::vector<std::unique_ptr<TFile>> files;
848 std::vector<std::vector<std::vector<int32_t>>*> labelsBuffer(nFiles);
849 std::vector<std::vector<std::vector<int32_t>>*> effBuffer(nFiles);
850 for (uint32_t i = 0; i < nFiles; i++) {
851 files.emplace_back(std::make_unique<TFile>(mConfig.matchMCLabels[i].c_str()));
852 labelsBuffer[i] = (std::vector<std::vector<int32_t>>*)files[i]->Get("mcLabelBuffer");
853 effBuffer[i] = (std::vector<std::vector<int32_t>>*)files[i]->Get("mcEffBuffer");
854 if (labelsBuffer[i] == nullptr || effBuffer[i] == nullptr) {
855 GPUError("Error opening / reading from labels file %u/%s: %p %p", i, mConfig.matchMCLabels[i].c_str(), (void*)labelsBuffer[i], (void*)effBuffer[i]);
856 exit(1);
857 }
858 }
859
860 mGoodTracks.resize(labelsBuffer[0]->size());
861 mGoodHits.resize(labelsBuffer[0]->size());
862 for (uint32_t iEvent = 0; iEvent < labelsBuffer[0]->size(); iEvent++) {
863 std::vector<bool> labelsOK((*effBuffer[0])[iEvent].size());
864 for (uint32_t k = 0; k < (*effBuffer[0])[iEvent].size(); k++) {
865 labelsOK[k] = false;
866 for (uint32_t l = 0; l < nFiles; l++) {
867 if ((*effBuffer[0])[iEvent][k] != (*effBuffer[l])[iEvent][k]) {
868 labelsOK[k] = true;
869 break;
870 }
871 }
872 }
873 mGoodTracks[iEvent].resize((*labelsBuffer[0])[iEvent].size());
874 for (uint32_t k = 0; k < (*labelsBuffer[0])[iEvent].size(); k++) {
875 if ((*labelsBuffer[0])[iEvent][k] == MC_LABEL_INVALID) {
876 continue;
877 }
878 mGoodTracks[iEvent][k] = labelsOK[abs((*labelsBuffer[0])[iEvent][k])];
879 }
880 }
881 }
882 mQAInitialized = true;
883 return 0;
884}
885
886void GPUQA::RunQA(bool matchOnly, const std::vector<o2::tpc::TrackTPC>* tracksExternal, const std::vector<o2::MCCompLabel>* tracksExtMC, const o2::tpc::ClusterNativeAccess* clNative)
887{
888 if (!mQAInitialized) {
889 throw std::runtime_error("QA not initialized");
890 }
891 if (mTracking && mTracking->GetProcessingSettings().debugLevel >= 2) {
892 GPUInfo("Running QA - Mask %d, Efficiency %d, Resolution %d, Pulls %d, Cluster Attachment %d, Track Statistics %d, Cluster Counts %d", mQATasks, (int32_t)(mQATasks & taskTrackingEff), (int32_t)(mQATasks & taskTrackingRes), (int32_t)(mQATasks & taskTrackingResPull), (int32_t)(mQATasks & taskClusterAttach), (int32_t)(mQATasks & taskTrackStatistics), (int32_t)(mQATasks & taskClusterCounts));
893 }
894 if (!clNative && mTracking) {
895 clNative = mTracking->mIOPtrs.clustersNative;
896 }
897 mClNative = clNative;
898
899#ifdef GPUCA_TPC_GEOMETRY_O2
900 uint32_t nSimEvents = GetNMCCollissions();
901 if (mTrackMCLabelsReverse.size() < nSimEvents) {
902 mTrackMCLabelsReverse.resize(nSimEvents);
903 }
904 if (mRecTracks.size() < nSimEvents) {
905 mRecTracks.resize(nSimEvents);
906 }
907 if (mFakeTracks.size() < nSimEvents) {
908 mFakeTracks.resize(nSimEvents);
909 }
910 if (mMCParam.size() < nSimEvents) {
911 mMCParam.resize(nSimEvents);
912 }
913#endif
914
915 // Initialize Arrays
916 uint32_t nReconstructedTracks = 0;
917 if (tracksExternal) {
918#ifdef GPUCA_O2_LIB
919 nReconstructedTracks = tracksExternal->size();
920#endif
921 } else {
922 nReconstructedTracks = mTracking->mIOPtrs.nMergedTracks;
923 }
924 mTrackMCLabels.resize(nReconstructedTracks);
925 for (uint32_t iCol = 0; iCol < GetNMCCollissions(); iCol++) {
926 mTrackMCLabelsReverse[iCol].resize(GetNMCTracks(iCol));
927 mRecTracks[iCol].resize(GetNMCTracks(iCol));
928 mFakeTracks[iCol].resize(GetNMCTracks(iCol));
929 mMCParam[iCol].resize(GetNMCTracks(iCol));
930 memset(mRecTracks[iCol].data(), 0, mRecTracks[iCol].size() * sizeof(mRecTracks[iCol][0]));
931 memset(mFakeTracks[iCol].data(), 0, mFakeTracks[iCol].size() * sizeof(mFakeTracks[iCol][0]));
932 for (size_t i = 0; i < mTrackMCLabelsReverse[iCol].size(); i++) {
933 mTrackMCLabelsReverse[iCol][i] = -1;
934 }
935 }
936 if (mQATasks & taskClusterAttach && GetNMCLabels()) {
937 mClusterParam.resize(GetNMCLabels());
938 memset(mClusterParam.data(), 0, mClusterParam.size() * sizeof(mClusterParam[0]));
939 }
940 HighResTimer timer(QA_TIMING || (mTracking && mTracking->GetProcessingSettings().debugLevel >= 2));
941
942 mNEvents++;
943 if (mConfig.writeMCLabels) {
944 mcEffBuffer.resize(mNEvents);
945 mcLabelBuffer.resize(mNEvents);
946 mcEffBuffer[mNEvents - 1].resize(GetNMCTracks(0));
947 mcLabelBuffer[mNEvents - 1].resize(nReconstructedTracks);
948 }
949
950 bool mcAvail = mcPresent() || tracksExtMC;
951
952 if (mcAvail) { // Assign Track MC Labels
953 if (tracksExternal) {
954#ifdef GPUCA_O2_LIB
955 for (uint32_t i = 0; i < tracksExternal->size(); i++) {
956 mTrackMCLabels[i] = (*tracksExtMC)[i];
957 }
958#endif
959 } else {
960 tbb::parallel_for(tbb::blocked_range<uint32_t>(0, nReconstructedTracks, (QA_DEBUG == 0) ? 32 : nReconstructedTracks), [&](const tbb::blocked_range<uint32_t>& range) {
961 auto acc = GPUTPCTrkLbl<true, mcLabelI_t>(GetClusterLabels(), 1.f - mConfig.recThreshold);
962 for (auto i = range.begin(); i < range.end(); i++) {
963 acc.reset();
964 int32_t nClusters = 0;
965 const GPUTPCGMMergedTrack& track = mTracking->mIOPtrs.mergedTracks[i];
966 std::vector<mcLabel_t> labels;
967 for (uint32_t k = 0; k < track.NClusters(); k++) {
968 if (mTracking->mIOPtrs.mergedTrackHits[track.FirstClusterRef() + k].state & GPUTPCGMMergedTrackHit::flagReject) {
969 continue;
970 }
971 nClusters++;
972 uint32_t hitId = mTracking->mIOPtrs.mergedTrackHits[track.FirstClusterRef() + k].num;
973 if (hitId >= GetNMCLabels()) {
974 GPUError("Invalid hit id %u > %d (nClusters %d)", hitId, GetNMCLabels(), clNative ? clNative->nClustersTotal : 0);
975 throw std::runtime_error("qa error");
976 }
977 acc.addLabel(hitId);
978 for (int32_t j = 0; j < GetMCLabelNID(hitId); j++) {
979 if (GetMCLabelID(hitId, j) >= (int32_t)GetNMCTracks(GetMCLabelCol(hitId, j))) {
980 GPUError("Invalid label %d > %d (hit %d, label %d, col %d)", GetMCLabelID(hitId, j), GetNMCTracks(GetMCLabelCol(hitId, j)), hitId, j, (int32_t)GetMCLabelCol(hitId, j));
981 throw std::runtime_error("qa error");
982 }
983 if (GetMCLabelID(hitId, j) >= 0) {
984 if (QA_DEBUG >= 3 && track.OK()) {
985 GPUInfo("Track %d Cluster %u Label %d: %d (%f)", i, k, j, GetMCLabelID(hitId, j), GetMCLabelWeight(hitId, j));
986 }
987 }
988 }
989 }
990
991 float maxweight, sumweight;
992 int32_t maxcount;
993 auto maxLabel = acc.computeLabel(&maxweight, &sumweight, &maxcount);
994 mTrackMCLabels[i] = maxLabel;
995 if (QA_DEBUG && track.OK() && GetNMCTracks(maxLabel) > (uint32_t)maxLabel.getTrackID()) {
996 const mcInfo_t& mc = GetMCTrack(maxLabel);
997 GPUInfo("Track %d label %d (fake %d) weight %f clusters %d (fitted %d) (%f%% %f%%) Pt %f", i, maxLabel.getTrackID(), (int32_t)(maxLabel.isFake()), maxweight, nClusters, track.NClustersFitted(), 100.f * maxweight / sumweight, 100.f * (float)maxcount / (float)nClusters,
998 std::sqrt(mc.pX * mc.pX + mc.pY * mc.pY));
999 }
1000 }
1001 });
1002 }
1003 if (timer.IsRunning()) {
1004 GPUInfo("QA Time: Assign Track Labels:\t\t%6.0f us", timer.GetCurrentElapsedTime(true) * 1e6);
1005 }
1006
1007 for (uint32_t i = 0; i < nReconstructedTracks; i++) {
1008 const GPUTPCGMMergedTrack* track = mTracking ? &mTracking->mIOPtrs.mergedTracks[i] : nullptr;
1009 mcLabelI_t label = mTrackMCLabels[i];
1010 if (mQATasks & taskClusterAttach) {
1011 // fill cluster attachment status
1012 if (!track->OK()) {
1013 continue;
1014 }
1015 if (!mTrackMCLabels[i].isValid()) {
1016 for (uint32_t k = 0; k < track->NClusters(); k++) {
1017 if (mTracking->mIOPtrs.mergedTrackHits[track->FirstClusterRef() + k].state & GPUTPCGMMergedTrackHit::flagReject) {
1018 continue;
1019 }
1020 mClusterParam[mTracking->mIOPtrs.mergedTrackHits[track->FirstClusterRef() + k].num].fakeAttached++;
1021 }
1022 continue;
1023 }
1024 if (mMCTrackMin == -1 || (label.getTrackID() >= mMCTrackMin && label.getTrackID() < mMCTrackMax)) {
1025 for (uint32_t k = 0; k < track->NClusters(); k++) {
1026 if (mTracking->mIOPtrs.mergedTrackHits[track->FirstClusterRef() + k].state & GPUTPCGMMergedTrackHit::flagReject) {
1027 continue;
1028 }
1029 int32_t hitId = mTracking->mIOPtrs.mergedTrackHits[track->FirstClusterRef() + k].num;
1030 bool correct = false;
1031 for (int32_t j = 0; j < GetMCLabelNID(hitId); j++) {
1032 if (label == GetMCLabel(hitId, j)) {
1033 correct = true;
1034 break;
1035 }
1036 }
1037 if (correct) {
1038 mClusterParam[hitId].attached++;
1039 } else {
1040 mClusterParam[hitId].fakeAttached++;
1041 }
1042 }
1043 }
1044 }
1045
1046 if (mTrackMCLabels[i].isFake()) {
1047 (GetMCTrackObj(mFakeTracks, label))++;
1048 } else if (tracksExternal || !track->MergedLooper()) {
1049 GetMCTrackObj(mRecTracks, label)++;
1050 if (mMCTrackMin == -1 || (label.getTrackID() >= mMCTrackMin && label.getTrackID() < mMCTrackMax)) {
1051 int32_t& revLabel = GetMCTrackObj(mTrackMCLabelsReverse, label);
1052 if (tracksExternal) {
1053#ifdef GPUCA_O2_LIB
1054 if (revLabel == -1 || fabsf((*tracksExternal)[i].getZ()) < fabsf((*tracksExternal)[revLabel].getZ())) {
1055 revLabel = i;
1056 }
1057#endif
1058 } else {
1059 const auto* trks = mTracking->mIOPtrs.mergedTracks;
1060 bool comp;
1061 if (revLabel == -1) {
1062 comp = true;
1063 } else {
1064 float shift1 = mTracking->GetTPCTransformHelper()->getCorrMap()->convDeltaTimeToDeltaZinTimeFrame(trks[i].CSide() * GPUChainTracking::NSECTORS / 2, trks[i].GetParam().GetTOffset());
1065 float shift2 = mTracking->GetTPCTransformHelper()->getCorrMap()->convDeltaTimeToDeltaZinTimeFrame(trks[revLabel].CSide() * GPUChainTracking::NSECTORS / 2, trks[revLabel].GetParam().GetTOffset());
1066 comp = fabsf(trks[i].GetParam().GetZ() + shift1) < fabsf(trks[revLabel].GetParam().GetZ() + shift2);
1067 }
1068 if (revLabel == -1 || !trks[revLabel].OK() || (trks[i].OK() && comp)) {
1069 revLabel = i;
1070 }
1071 }
1072 }
1073 }
1074 }
1075 if ((mQATasks & taskClusterAttach) && !tracksExternal) {
1076 std::vector<uint8_t> lowestPadRow(mTracking->mIOPtrs.nMergedTracks);
1077 // fill cluster adjacent status
1078 if (mTracking->mIOPtrs.mergedTrackHitAttachment) {
1079 for (uint32_t i = 0; i < GetNMCLabels(); i++) {
1080 if (mClusterParam[i].attached == 0 && mClusterParam[i].fakeAttached == 0) {
1081 int32_t attach = mTracking->mIOPtrs.mergedTrackHitAttachment[i];
1082 if (attach & gputpcgmmergertypes::attachFlagMask) {
1083 int32_t track = attach & gputpcgmmergertypes::attachTrackMask;
1084 mcLabelI_t trackL = mTrackMCLabels[track];
1085 bool fake = true;
1086 for (int32_t j = 0; j < GetMCLabelNID(i); j++) {
1087 // GPUInfo("Attach %x Track %d / %d:%d", attach, track, j, GetMCLabelID(i, j));
1088 if (trackL == GetMCLabel(i, j)) {
1089 fake = false;
1090 break;
1091 }
1092 }
1093 if (fake) {
1094 mClusterParam[i].fakeAdjacent++;
1095 } else {
1096 mClusterParam[i].adjacent++;
1097 }
1098 }
1099 }
1100 }
1101 }
1102 if (mTracking->mIOPtrs.nMergedTracks && clNative) {
1103 std::fill(lowestPadRow.begin(), lowestPadRow.end(), 255);
1104 for (uint32_t iSector = 0; iSector < GPUCA_NSECTORS; iSector++) {
1105 for (uint32_t iRow = 0; iRow < GPUCA_ROW_COUNT; iRow++) {
1106 for (uint32_t iCl = 0; iCl < clNative->nClusters[iSector][iRow]; iCl++) {
1107 int32_t i = clNative->clusterOffset[iSector][iRow] + iCl;
1108 for (int32_t j = 0; j < GetMCLabelNID(i); j++) {
1109 uint32_t trackId = GetMCTrackObj(mTrackMCLabelsReverse, GetMCLabel(i, j));
1110 if (trackId < lowestPadRow.size() && lowestPadRow[trackId] > iRow) {
1111 lowestPadRow[trackId] = iRow;
1112 }
1113 }
1114 }
1115 }
1116 }
1117 for (uint32_t i = 0; i < mTracking->mIOPtrs.nMergedTracks; i++) {
1118 const auto& trk = mTracking->mIOPtrs.mergedTracks[i];
1119 if (trk.OK() && lowestPadRow[i] != 255 && trk.NClustersFitted() >= PADROW_CHECK_MINCLS && CAMath::Abs(trk.GetParam().GetQPt()) < 1.0) {
1120 const auto& lowestCl = mTracking->mIOPtrs.mergedTrackHits[trk.FirstClusterRef()].row < mTracking->mIOPtrs.mergedTrackHits[trk.FirstClusterRef() + trk.NClusters() - 1].row ? mTracking->mIOPtrs.mergedTrackHits[trk.FirstClusterRef()] : mTracking->mIOPtrs.mergedTrackHits[trk.FirstClusterRef() + trk.NClusters() - 1];
1121 const int32_t lowestRow = lowestCl.row;
1122 mPadRow[0]->Fill(lowestPadRow[i], lowestRow, 1.f);
1123 mPadRow[1]->Fill(CAMath::ATan2(trk.GetParam().GetY(), trk.GetParam().GetX()), lowestRow, 1.f);
1124 if (lowestPadRow[i] < 10 && lowestRow > lowestPadRow[i] + 3) {
1125 const auto& cl = clNative->clustersLinear[lowestCl.num];
1126 float x, y, z;
1127 mTracking->GetTPCTransformHelper()->Transform(lowestCl.sector, lowestCl.row, cl.getPad(), cl.getTime(), x, y, z, trk.GetParam().GetTOffset());
1128 float phi = CAMath::ATan2(y, x);
1129 mPadRow[2]->Fill(phi, lowestRow, 1.f);
1130 if (CAMath::Abs(phi) < 0.15) {
1131 const float time = cl.getTime();
1132 mPadRow[3]->Fill(mTracking->GetParam().GetUnscaledMult(time), lowestRow, 1.f);
1133 }
1134 }
1135 }
1136 }
1137 }
1138 }
1139
1140 if (mConfig.matchMCLabels.size()) {
1141 mGoodHits[mNEvents - 1].resize(GetNMCLabels());
1142 std::vector<bool> allowMCLabels(GetNMCTracks(0));
1143 for (uint32_t k = 0; k < GetNMCTracks(0); k++) {
1144 allowMCLabels[k] = false;
1145 }
1146 for (uint32_t i = 0; i < nReconstructedTracks; i++) {
1147 if (!mGoodTracks[mNEvents - 1][i]) {
1148 continue;
1149 }
1150 if (mConfig.matchDisplayMinPt > 0) {
1151 if (!mTrackMCLabels[i].isValid()) {
1152 continue;
1153 }
1154 const mcInfo_t& info = GetMCTrack(mTrackMCLabels[i]);
1155 if (info.pX * info.pX + info.pY * info.pY < mConfig.matchDisplayMinPt * mConfig.matchDisplayMinPt) {
1156 continue;
1157 }
1158 }
1159
1160 const GPUTPCGMMergedTrack& track = mTracking->mIOPtrs.mergedTracks[i];
1161 for (uint32_t j = 0; j < track.NClusters(); j++) {
1162 int32_t hitId = mTracking->mIOPtrs.mergedTrackHits[track.FirstClusterRef() + j].num;
1163 if (GetMCLabelNID(hitId)) {
1164 int32_t mcID = GetMCLabelID(hitId, 0);
1165 if (mcID >= 0) {
1166 allowMCLabels[mcID] = true;
1167 }
1168 }
1169 }
1170 }
1171 for (uint32_t i = 0; i < GetNMCLabels(); i++) {
1172 for (int32_t j = 0; j < GetMCLabelNID(i); j++) {
1173 int32_t mcID = GetMCLabelID(i, j);
1174 if (mcID >= 0 && allowMCLabels[mcID]) {
1175 mGoodHits[mNEvents - 1][i] = true;
1176 }
1177 }
1178 }
1179 }
1180 if (timer.IsRunning()) {
1181 GPUInfo("QA Time: Cluster attach status:\t\t%6.0f us", timer.GetCurrentElapsedTime(true) * 1e6);
1182 }
1183
1184 if (matchOnly) {
1185 return;
1186 }
1187
1188 // Recompute fNWeightCls (might have changed after merging events into timeframes)
1189 for (uint32_t iCol = 0; iCol < GetNMCCollissions(); iCol++) {
1190 for (uint32_t i = 0; i < GetNMCTracks(iCol); i++) {
1191 mMCParam[iCol][i].nWeightCls = 0.;
1192 }
1193 }
1194 for (uint32_t i = 0; i < GetNMCLabels(); i++) {
1195 float weightTotal = 0.f;
1196 for (int32_t j = 0; j < GetMCLabelNID(i); j++) {
1197 if (GetMCLabelID(i, j) >= 0) {
1198 weightTotal += GetMCLabelWeight(i, j);
1199 }
1200 }
1201 for (int32_t j = 0; j < GetMCLabelNID(i); j++) {
1202 if (GetMCLabelID(i, j) >= 0) {
1203 GetMCTrackObj(mMCParam, GetMCLabel(i, j)).nWeightCls += GetMCLabelWeight(i, j) / weightTotal;
1204 }
1205 }
1206 }
1207 if (timer.IsRunning()) {
1208 GPUInfo("QA Time: Compute cluster label weights:\t%6.0f us", timer.GetCurrentElapsedTime(true) * 1e6);
1209 }
1210
1211 // Compute MC Track Parameters for MC Tracks
1212 tbb::parallel_for<uint32_t>(0, GetNMCCollissions(), [&](auto iCol) {
1213 for (uint32_t i = 0; i < GetNMCTracks(iCol); i++) {
1214 const mcInfo_t& info = GetMCTrack(i, iCol);
1215 additionalMCParameters& mc2 = mMCParam[iCol][i];
1216 mc2.pt = std::sqrt(info.pX * info.pX + info.pY * info.pY);
1217 mc2.phi = M_PI + std::atan2(-info.pY, -info.pX);
1218 float p = info.pX * info.pX + info.pY * info.pY + info.pZ * info.pZ;
1219 if (p < 1e-18) {
1220 mc2.theta = mc2.eta = 0.f;
1221 } else {
1222 mc2.theta = info.pZ == 0 ? (M_PI / 2) : (std::acos(info.pZ / std::sqrt(p)));
1223 mc2.eta = -std::log(std::tan(0.5 * mc2.theta));
1224 }
1225 if (mConfig.writeMCLabels) {
1226 std::vector<int32_t>& effBuffer = mcEffBuffer[mNEvents - 1];
1227 effBuffer[i] = mRecTracks[iCol][i] * 1000 + mFakeTracks[iCol][i];
1228 }
1229 } // clang-format off
1230 }, tbb::simple_partitioner()); // clang-format on
1231 if (timer.IsRunning()) {
1232 GPUInfo("QA Time: Compute track mc parameters:\t%6.0f us", timer.GetCurrentElapsedTime(true) * 1e6);
1233 }
1234
1235 // Fill Efficiency Histograms
1236 if (mQATasks & taskTrackingEff) {
1237 for (uint32_t iCol = 0; iCol < GetNMCCollissions(); iCol++) {
1238 for (uint32_t i = 0; i < GetNMCTracks(iCol); i++) {
1239 if ((mMCTrackMin != -1 && (int32_t)i < mMCTrackMin) || (mMCTrackMax != -1 && (int32_t)i >= mMCTrackMax)) {
1240 continue;
1241 }
1242 const mcInfo_t& info = GetMCTrack(i, iCol);
1243 const additionalMCParameters& mc2 = mMCParam[iCol][i];
1244 if (mc2.nWeightCls == 0.f) {
1245 continue;
1246 }
1247 const float& mcpt = mc2.pt;
1248 const float& mcphi = mc2.phi;
1249 const float& mceta = mc2.eta;
1250
1251 if (info.primDaughters) {
1252 continue;
1253 }
1254 if (mc2.nWeightCls < mConfig.minNClEff) {
1255 continue;
1256 }
1257 int32_t findable = mc2.nWeightCls >= mConfig.minNClFindable;
1258 if (info.pid < 0) {
1259 continue;
1260 }
1261 if (info.charge == 0.f) {
1262 continue;
1263 }
1264 if (mConfig.filterCharge && info.charge * mConfig.filterCharge < 0) {
1265 continue;
1266 }
1267 if (mConfig.filterPID >= 0 && info.pid != mConfig.filterPID) {
1268 continue;
1269 }
1270
1271 if (fabsf(mceta) > ETA_MAX || mcpt < PT_MIN || mcpt > PT_MAX) {
1272 continue;
1273 }
1274
1275 float alpha = std::atan2(info.y, info.x);
1276 alpha /= M_PI / 9.f;
1277 alpha = std::floor(alpha);
1278 alpha *= M_PI / 9.f;
1279 alpha += M_PI / 18.f;
1280
1281 float c = std::cos(alpha);
1282 float s = std::sin(alpha);
1283 float localY = -info.x * s + info.y * c;
1284
1285 if (mConfig.dumpToROOT) {
1286 static auto effdump = GPUROOTDump<TNtuple>::getNew("eff", "alpha:x:y:z:mcphi:mceta:mcpt:rec:fake:findable:prim:ncls");
1287 float localX = info.x * c + info.y * s;
1288 effdump.Fill(alpha, localX, localY, info.z, mcphi, mceta, mcpt, mRecTracks[iCol][i], mFakeTracks[iCol][i], findable, info.prim, mc2.nWeightCls);
1289 }
1290
1291 for (int32_t j = 0; j < 6; j++) {
1292 if (j == 3 || j == 4) {
1293 continue;
1294 }
1295 for (int32_t k = 0; k < 2; k++) {
1296 if (k == 0 && findable == 0) {
1297 continue;
1298 }
1299
1300 int32_t val = (j == 0) ? (mRecTracks[iCol][i] ? 1 : 0) : (j == 1) ? (mRecTracks[iCol][i] ? mRecTracks[iCol][i] - 1 : 0) : (j == 2) ? mFakeTracks[iCol][i] : 1;
1301 if (val == 0) {
1302 continue;
1303 }
1304
1305 for (int32_t l = 0; l < 5; l++) {
1306 if (info.prim && mcpt < PT_MIN_PRIM) {
1307 continue;
1308 }
1309 if (l != 3 && fabsf(mceta) > ETA_MAX2) {
1310 continue;
1311 }
1312 if (l < 4 && mcpt < 1.f / mConfig.qpt) {
1313 continue;
1314 }
1315
1316 float pos = l == 0 ? localY : l == 1 ? info.z : l == 2 ? mcphi : l == 3 ? mceta : mcpt;
1317
1318 mEff[j][k][!info.prim][l]->Fill(pos, val);
1319 }
1320 }
1321 }
1322 }
1323 }
1324 if (timer.IsRunning()) {
1325 GPUInfo("QA Time: Fill efficiency histograms:\t%6.0f us", timer.GetCurrentElapsedTime(true) * 1e6);
1326 }
1327 }
1328
1329 // Fill Resolution Histograms
1330 if (mQATasks & (taskTrackingRes | taskTrackingResPull)) {
1331 GPUTPCGMPropagator prop;
1332 prop.SetMaxSinPhi(.999);
1333 prop.SetMaterialTPC();
1334 prop.SetPolynomialField(&mParam->polynomialField);
1335
1336 for (uint32_t i = 0; i < mTrackMCLabels.size(); i++) {
1337 if (mConfig.writeMCLabels) {
1338 std::vector<int32_t>& labelBuffer = mcLabelBuffer[mNEvents - 1];
1339 labelBuffer[i] = mTrackMCLabels[i].getTrackID();
1340 }
1341 if (mTrackMCLabels[i].isFake()) {
1342 continue;
1343 }
1344 const mcInfo_t& mc1 = GetMCTrack(mTrackMCLabels[i]);
1345 const additionalMCParameters& mc2 = GetMCTrackObj(mMCParam, mTrackMCLabels[i]);
1346
1347 if (mc1.primDaughters) {
1348 continue;
1349 }
1350 if (!tracksExternal) {
1351 if (!mTracking->mIOPtrs.mergedTracks[i].OK()) {
1352 continue;
1353 }
1354 if (mTracking->mIOPtrs.mergedTracks[i].MergedLooper()) {
1355 continue;
1356 }
1357 }
1358 if ((mMCTrackMin != -1 && mTrackMCLabels[i].getTrackID() < mMCTrackMin) || (mMCTrackMax != -1 && mTrackMCLabels[i].getTrackID() >= mMCTrackMax)) {
1359 continue;
1360 }
1361 if (fabsf(mc2.eta) > ETA_MAX || mc2.pt < PT_MIN || mc2.pt > PT_MAX) {
1362 continue;
1363 }
1364 if (mc1.charge == 0.f) {
1365 continue;
1366 }
1367 if (mc1.pid < 0) {
1368 continue;
1369 }
1370 if (mc1.t0 == -100.f) {
1371 continue;
1372 }
1373 if (mConfig.filterCharge && mc1.charge * mConfig.filterCharge < 0) {
1374 continue;
1375 }
1376 if (mConfig.filterPID >= 0 && mc1.pid != mConfig.filterPID) {
1377 continue;
1378 }
1379 if (mc2.nWeightCls < mConfig.minNClRes) {
1380 continue;
1381 }
1382 if (mConfig.resPrimaries == 1 && !mc1.prim) {
1383 continue;
1384 } else if (mConfig.resPrimaries == 2 && mc1.prim) {
1385 continue;
1386 }
1387 if (GetMCTrackObj(mTrackMCLabelsReverse, mTrackMCLabels[i]) != (int32_t)i) {
1388 continue;
1389 }
1390
1391 GPUTPCGMTrackParam param;
1392 float alpha = 0.f;
1393 int32_t side;
1394 if (tracksExternal) {
1395#ifdef GPUCA_O2_LIB
1396 for (int32_t k = 0; k < 5; k++) {
1397 param.Par()[k] = (*tracksExternal)[i].getParams()[k];
1398 }
1399 for (int32_t k = 0; k < 15; k++) {
1400 param.Cov()[k] = (*tracksExternal)[i].getCov()[k];
1401 }
1402 param.X() = (*tracksExternal)[i].getX();
1403 param.TOffset() = (*tracksExternal)[i].getTime0();
1404 alpha = (*tracksExternal)[i].getAlpha();
1405 side = (*tracksExternal)[i].hasBothSidesClusters() ? 2 : ((*tracksExternal)[i].hasCSideClusters() ? 1 : 0);
1406#endif
1407 } else {
1408 param = mTracking->mIOPtrs.mergedTracks[i].GetParam();
1409 alpha = mTracking->mIOPtrs.mergedTracks[i].GetAlpha();
1410 side = mTracking->mIOPtrs.mergedTracks[i].CCE() ? 2 : (mTracking->mIOPtrs.mergedTracks[i].CSide() ? 1 : 0);
1411 }
1412
1413 float mclocal[4]; // Rotated x,y,Px,Py mc-coordinates - the MC data should be rotated since the track is propagated best along x
1414 float c = std::cos(alpha);
1415 float s = std::sin(alpha);
1416 float x = mc1.x;
1417 float y = mc1.y;
1418 mclocal[0] = x * c + y * s;
1419 mclocal[1] = -x * s + y * c;
1420 float px = mc1.pX;
1421 float py = mc1.pY;
1422 mclocal[2] = px * c + py * s;
1423 mclocal[3] = -px * s + py * c;
1424
1425 if (mclocal[0] < TRACK_EXPECTED_REFERENCE_X - 3) {
1426 continue;
1427 }
1428 if (mclocal[0] > param.GetX() + 20) {
1429 continue;
1430 }
1431 if (param.GetX() > mConfig.maxResX) {
1432 continue;
1433 }
1434
1435 auto getdz = [this, &param, &mc1, &side, tracksExternal]() {
1436 if (tracksExternal) {
1437 return param.GetZ();
1438 }
1439 if (!mParam->continuousMaxTimeBin) {
1440 return param.GetZ() - mc1.z;
1441 }
1442 float shift = side == 2 ? 0 : mTracking->GetTPCTransformHelper()->getCorrMap()->convDeltaTimeToDeltaZinTimeFrame(side * GPUChainTracking::NSECTORS / 2, param.GetTOffset() - mc1.t0);
1443 return param.GetZ() + shift - mc1.z;
1444 };
1445
1446 prop.SetTrack(&param, alpha);
1447 bool inFlyDirection = 0;
1448 if (mConfig.strict) {
1449 const float dx = param.X() - std::max<float>(mclocal[0], TRACK_EXPECTED_REFERENCE_X_DEFAULT); // Limit distance check
1450 const float dy = param.Y() - mclocal[1];
1451 const float dz = getdz();
1452 if (dx * dx + dy * dy + dz * dz > 5.f * 5.f) {
1453 continue;
1454 }
1455 }
1456
1457 if (prop.PropagateToXAlpha(mclocal[0], alpha, inFlyDirection)) {
1458 continue;
1459 }
1460 if (fabsf(param.Y() - mclocal[1]) > (mConfig.strict ? 1.f : 4.f) || fabsf(getdz()) > (mConfig.strict ? 1.f : 4.f)) {
1461 continue;
1462 }
1463 float charge = mc1.charge > 0 ? 1.f : -1.f;
1464
1465 float deltaY = param.GetY() - mclocal[1];
1466 float deltaZ = getdz();
1467 float deltaPhiNative = param.GetSinPhi() - mclocal[3] / mc2.pt;
1468 float deltaPhi = std::asin(param.GetSinPhi()) - std::atan2(mclocal[3], mclocal[2]);
1469 float deltaLambdaNative = param.GetDzDs() - mc1.pZ / mc2.pt;
1470 float deltaLambda = std::atan(param.GetDzDs()) - std::atan2(mc1.pZ, mc2.pt);
1471 float deltaPtNative = (param.GetQPt() - charge / mc2.pt) * charge;
1472 float deltaPt = (fabsf(1.f / param.GetQPt()) - mc2.pt) / mc2.pt;
1473
1474 float paramval[5] = {mclocal[1], mc1.z, mc2.phi, mc2.eta, mc2.pt};
1475 float resval[5] = {deltaY, deltaZ, mConfig.nativeFitResolutions ? deltaPhiNative : deltaPhi, mConfig.nativeFitResolutions ? deltaLambdaNative : deltaLambda, mConfig.nativeFitResolutions ? deltaPtNative : deltaPt};
1476 float pullval[5] = {deltaY / std::sqrt(param.GetErr2Y()), deltaZ / std::sqrt(param.GetErr2Z()), deltaPhiNative / std::sqrt(param.GetErr2SinPhi()), deltaLambdaNative / std::sqrt(param.GetErr2DzDs()), deltaPtNative / std::sqrt(param.GetErr2QPt())};
1477
1478 for (int32_t j = 0; j < 5; j++) {
1479 for (int32_t k = 0; k < 5; k++) {
1480 if (k != 3 && fabsf(mc2.eta) > ETA_MAX2) {
1481 continue;
1482 }
1483 if (k < 4 && mc2.pt < 1.f / mConfig.qpt) {
1484 continue;
1485 }
1486 if (mQATasks & taskTrackingRes) {
1487 mRes2[j][k]->Fill(resval[j], paramval[k]);
1488 }
1489 if (mQATasks & taskTrackingResPull) {
1490 mPull2[j][k]->Fill(pullval[j], paramval[k]);
1491 }
1492 }
1493 }
1494 }
1495 if (timer.IsRunning()) {
1496 GPUInfo("QA Time: Fill resolution histograms:\t%6.0f us", timer.GetCurrentElapsedTime(true) * 1e6);
1497 }
1498 }
1499
1500 if ((mQATasks & taskClusterAttach) && !tracksExternal) {
1501 // Fill cluster histograms
1502 for (uint32_t iTrk = 0; iTrk < nReconstructedTracks; iTrk++) {
1503 const GPUTPCGMMergedTrack& track = mTracking->mIOPtrs.mergedTracks[iTrk];
1504 if (!track.OK()) {
1505 continue;
1506 }
1507 if (!mTrackMCLabels[iTrk].isValid()) {
1508 for (uint32_t k = 0; k < track.NClusters(); k++) {
1509 if (mTracking->mIOPtrs.mergedTrackHits[track.FirstClusterRef() + k].state & GPUTPCGMMergedTrackHit::flagReject) {
1510 continue;
1511 }
1512 int32_t hitId = mTracking->mIOPtrs.mergedTrackHits[track.FirstClusterRef() + k].num;
1513 float totalWeight = 0.;
1514 for (int32_t j = 0; j < GetMCLabelNID(hitId); j++) {
1515 if (GetMCLabelID(hitId, j) >= 0 && GetMCTrackObj(mMCParam, GetMCLabel(hitId, j)).pt > 1.f / mTracking->GetParam().rec.maxTrackQPtB5) {
1516 totalWeight += GetMCLabelWeight(hitId, j);
1517 }
1518 }
1519 int32_t attach = mTracking->mIOPtrs.mergedTrackHitAttachment[hitId];
1520 const auto& r = checkClusterState<false>(attach);
1521 if (totalWeight > 0) {
1522 float weight = 1.f / (totalWeight * (mClusterParam[hitId].attached + mClusterParam[hitId].fakeAttached));
1523 for (int32_t j = 0; j < GetMCLabelNID(hitId); j++) {
1524 mcLabelI_t label = GetMCLabel(hitId, j);
1525 if (!label.isFake() && GetMCTrackObj(mMCParam, label).pt > 1.f / mTracking->GetParam().rec.maxTrackQPtB5) {
1526 float pt = GetMCTrackObj(mMCParam, label).pt;
1527 if (pt < PT_MIN_CLUST) {
1528 pt = PT_MIN_CLUST;
1529 }
1530 mClusters[CL_fake]->Fill(pt, GetMCLabelWeight(hitId, j) * weight);
1531 mClusters[CL_att_adj]->Fill(pt, GetMCLabelWeight(hitId, j) * weight);
1532 if (GetMCTrackObj(mRecTracks, label)) {
1533 mClusters[CL_tracks]->Fill(pt, GetMCLabelWeight(hitId, j) * weight);
1534 }
1535 mClusters[CL_all]->Fill(pt, GetMCLabelWeight(hitId, j) * weight);
1536 if (r.protect || r.physics) {
1537 mClusters[CL_prot]->Fill(pt, GetMCLabelWeight(hitId, j) * weight);
1538 }
1539 if (r.physics) {
1540 mClusters[CL_physics]->Fill(pt, GetMCLabelWeight(hitId, j) * weight);
1541 }
1542 }
1543 }
1544 } else {
1545 float weight = 1.f / (mClusterParam[hitId].attached + mClusterParam[hitId].fakeAttached);
1546 mClusters[CL_fake]->Fill(0.f, weight);
1547 mClusters[CL_att_adj]->Fill(0.f, weight);
1548 mClusters[CL_all]->Fill(0.f, weight);
1549 mClusterCounts.nUnaccessible += weight;
1550 if (r.protect || r.physics) {
1551 mClusters[CL_prot]->Fill(0.f, weight);
1552 }
1553 if (r.physics) {
1554 mClusters[CL_physics]->Fill(0.f, weight);
1555 }
1556 }
1557 }
1558 continue;
1559 }
1560 mcLabelI_t label = mTrackMCLabels[iTrk];
1561 if (mMCTrackMin != -1 && (label.getTrackID() < mMCTrackMin || label.getTrackID() >= mMCTrackMax)) {
1562 continue;
1563 }
1564 for (uint32_t k = 0; k < track.NClusters(); k++) {
1565 if (mTracking->mIOPtrs.mergedTrackHits[track.FirstClusterRef() + k].state & GPUTPCGMMergedTrackHit::flagReject) {
1566 continue;
1567 }
1568 int32_t hitId = mTracking->mIOPtrs.mergedTrackHits[track.FirstClusterRef() + k].num;
1569 float pt = GetMCTrackObj(mMCParam, label).pt;
1570 if (pt < PT_MIN_CLUST) {
1571 pt = PT_MIN_CLUST;
1572 }
1573 float weight = 1.f / (mClusterParam[hitId].attached + mClusterParam[hitId].fakeAttached);
1574 bool correct = false;
1575 for (int32_t j = 0; j < GetMCLabelNID(hitId); j++) {
1576 if (label == GetMCLabel(hitId, j)) {
1577 correct = true;
1578 break;
1579 }
1580 }
1581 if (correct) {
1582 mClusters[CL_attached]->Fill(pt, weight);
1583 mClusters[CL_tracks]->Fill(pt, weight);
1584 } else {
1585 mClusters[CL_fake]->Fill(pt, weight);
1586 }
1587 mClusters[CL_att_adj]->Fill(pt, weight);
1588 mClusters[CL_all]->Fill(pt, weight);
1589 int32_t attach = mTracking->mIOPtrs.mergedTrackHitAttachment[hitId];
1590 const auto& r = checkClusterState<false>(attach);
1591 if (r.protect || r.physics) {
1592 mClusters[CL_prot]->Fill(pt, weight);
1593 }
1594 if (r.physics) {
1595 mClusters[CL_physics]->Fill(pt, weight);
1596 }
1597 }
1598 }
1599 for (uint32_t i = 0; i < GetNMCLabels(); i++) {
1600 if ((mMCTrackMin != -1 && GetMCLabelID(i, 0) < mMCTrackMin) || (mMCTrackMax != -1 && GetMCLabelID(i, 0) >= mMCTrackMax)) {
1601 continue;
1602 }
1603 if (mClusterParam[i].attached || mClusterParam[i].fakeAttached) {
1604 continue;
1605 }
1606 int32_t attach = mTracking->mIOPtrs.mergedTrackHitAttachment[i];
1607 const auto& r = checkClusterState<false>(attach);
1608 if (mClusterParam[i].adjacent) {
1609 int32_t label = mTracking->mIOPtrs.mergedTrackHitAttachment[i] & gputpcgmmergertypes::attachTrackMask;
1610 if (!mTrackMCLabels[label].isValid()) {
1611 float totalWeight = 0.;
1612 for (int32_t j = 0; j < GetMCLabelNID(i); j++) {
1613 mcLabelI_t labelT = GetMCLabel(i, j);
1614 if (!labelT.isFake() && GetMCTrackObj(mMCParam, labelT).pt > 1.f / mTracking->GetParam().rec.maxTrackQPtB5) {
1615 totalWeight += GetMCLabelWeight(i, j);
1616 }
1617 }
1618 float weight = 1.f / totalWeight;
1619 if (totalWeight > 0) {
1620 for (int32_t j = 0; j < GetMCLabelNID(i); j++) {
1621 mcLabelI_t labelT = GetMCLabel(i, j);
1622 if (!labelT.isFake() && GetMCTrackObj(mMCParam, labelT).pt > 1.f / mTracking->GetParam().rec.maxTrackQPtB5) {
1623 float pt = GetMCTrackObj(mMCParam, labelT).pt;
1624 if (pt < PT_MIN_CLUST) {
1625 pt = PT_MIN_CLUST;
1626 }
1627 if (GetMCTrackObj(mRecTracks, labelT)) {
1628 mClusters[CL_tracks]->Fill(pt, GetMCLabelWeight(i, j) * weight);
1629 }
1630 mClusters[CL_att_adj]->Fill(pt, GetMCLabelWeight(i, j) * weight);
1631 mClusters[CL_fakeAdj]->Fill(pt, GetMCLabelWeight(i, j) * weight);
1632 mClusters[CL_all]->Fill(pt, GetMCLabelWeight(i, j) * weight);
1633 if (r.protect || r.physics) {
1634 mClusters[CL_prot]->Fill(pt, GetMCLabelWeight(i, j) * weight);
1635 }
1636 if (r.physics) {
1637 mClusters[CL_physics]->Fill(pt, GetMCLabelWeight(i, j) * weight);
1638 }
1639 }
1640 }
1641 } else {
1642 mClusters[CL_att_adj]->Fill(0.f, 1.f);
1643 mClusters[CL_fakeAdj]->Fill(0.f, 1.f);
1644 mClusters[CL_all]->Fill(0.f, 1.f);
1645 mClusterCounts.nUnaccessible++;
1646 if (r.protect || r.physics) {
1647 mClusters[CL_prot]->Fill(0.f, 1.f);
1648 }
1649 if (r.physics) {
1650 mClusters[CL_physics]->Fill(0.f, 1.f);
1651 }
1652 }
1653 } else {
1654 float pt = GetMCTrackObj(mMCParam, mTrackMCLabels[label]).pt;
1655 if (pt < PT_MIN_CLUST) {
1656 pt = PT_MIN_CLUST;
1657 }
1658 mClusters[CL_att_adj]->Fill(pt, 1.f);
1659 mClusters[CL_tracks]->Fill(pt, 1.f);
1660 mClusters[CL_all]->Fill(pt, 1.f);
1661 if (r.protect || r.physics) {
1662 mClusters[CL_prot]->Fill(pt, 1.f);
1663 }
1664 if (r.physics) {
1665 mClusters[CL_physics]->Fill(pt, 1.f);
1666 }
1667 }
1668 } else {
1669 float totalWeight = 0.;
1670 for (int32_t j = 0; j < GetMCLabelNID(i); j++) {
1671 mcLabelI_t labelT = GetMCLabel(i, j);
1672 if (!labelT.isFake() && GetMCTrackObj(mMCParam, labelT).pt > 1.f / mTracking->GetParam().rec.maxTrackQPtB5) {
1673 totalWeight += GetMCLabelWeight(i, j);
1674 }
1675 }
1676 if (totalWeight > 0) {
1677 for (int32_t j = 0; j < GetMCLabelNID(i); j++) {
1678 mcLabelI_t label = GetMCLabel(i, j);
1679 if (!label.isFake() && GetMCTrackObj(mMCParam, label).pt > 1.f / mTracking->GetParam().rec.maxTrackQPtB5) {
1680 float pt = GetMCTrackObj(mMCParam, label).pt;
1681 if (pt < PT_MIN_CLUST) {
1682 pt = PT_MIN_CLUST;
1683 }
1684 float weight = GetMCLabelWeight(i, j) / totalWeight;
1685 if (mClusterParam[i].fakeAdjacent) {
1686 mClusters[CL_fakeAdj]->Fill(pt, weight);
1687 }
1688 if (mClusterParam[i].fakeAdjacent) {
1689 mClusters[CL_att_adj]->Fill(pt, weight);
1690 }
1691 if (GetMCTrackObj(mRecTracks, label)) {
1692 mClusters[CL_tracks]->Fill(pt, weight);
1693 }
1694 mClusters[CL_all]->Fill(pt, weight);
1695 if (r.protect || r.physics) {
1696 mClusters[CL_prot]->Fill(pt, weight);
1697 }
1698 if (r.physics) {
1699 mClusters[CL_physics]->Fill(pt, weight);
1700 }
1701 }
1702 }
1703 } else {
1704 if (mClusterParam[i].fakeAdjacent) {
1705 mClusters[CL_fakeAdj]->Fill(0.f, 1.f);
1706 }
1707 if (mClusterParam[i].fakeAdjacent) {
1708 mClusters[CL_att_adj]->Fill(0.f, 1.f);
1709 }
1710 mClusters[CL_all]->Fill(0.f, 1.f);
1711 mClusterCounts.nUnaccessible++;
1712 if (r.protect || r.physics) {
1713 mClusters[CL_prot]->Fill(0.f, 1.f);
1714 }
1715 if (r.physics) {
1716 mClusters[CL_physics]->Fill(0.f, 1.f);
1717 }
1718 }
1719 }
1720 }
1721
1722 if (timer.IsRunning()) {
1723 GPUInfo("QA Time: Fill cluster histograms:\t%6.0f us", timer.GetCurrentElapsedTime(true) * 1e6);
1724 }
1725 }
1726 } else if (!mConfig.inputHistogramsOnly && !mConfig.noMC && (mQATasks & (taskTrackingEff | taskTrackingRes | taskTrackingResPull | taskClusterAttach))) {
1727 GPUWarning("No MC information available, only running partial TPC QA!");
1728 } // mcAvail
1729
1730 if ((mQATasks & taskTrackStatistics) && !tracksExternal) {
1731 // Fill track statistic histograms
1732 std::vector<std::array<float, 3>> clusterAttachCounts;
1733 if (mcAvail) {
1734 clusterAttachCounts.resize(GetNMCLabels(), {0.f, 0.f});
1735 }
1736 for (uint32_t i = 0; i < nReconstructedTracks; i++) {
1737 const GPUTPCGMMergedTrack& track = mTracking->mIOPtrs.mergedTracks[i];
1738 if (!track.OK()) {
1739 continue;
1740 }
1741 mTracks->Fill(1.f / fabsf(track.GetParam().GetQPt()));
1742 mNCl[0]->Fill(track.NClustersFitted());
1743 uint32_t nClCorrected = 0;
1744 const auto& trackClusters = mTracking->mIOPtrs.mergedTrackHits;
1745 uint32_t jNext = 0;
1746 for (uint32_t j = 0; j < track.NClusters(); j = jNext) {
1747 uint32_t rowClCount = !(trackClusters[track.FirstClusterRef() + j].state & GPUTPCGMMergedTrackHit::flagReject);
1748 for (jNext = j + 1; j < track.NClusters(); jNext++) {
1749 if (trackClusters[track.FirstClusterRef() + j].sector != trackClusters[track.FirstClusterRef() + jNext].sector || trackClusters[track.FirstClusterRef() + j].row != trackClusters[track.FirstClusterRef() + jNext].row) {
1750 break;
1751 }
1752 rowClCount += !(trackClusters[track.FirstClusterRef() + jNext].state & GPUTPCGMMergedTrackHit::flagReject);
1753 }
1754 if (!track.MergedLooper() && rowClCount) {
1755 nClCorrected++;
1756 }
1757 if (mcAvail && rowClCount) {
1758 for (uint32_t k = j; k < jNext; k++) {
1759 const auto& cl = trackClusters[track.FirstClusterRef() + k];
1760 if (cl.state & GPUTPCGMMergedTrackHit::flagReject) {
1761 continue;
1762 }
1763 bool labelOk = false, labelOkNonFake = false;
1764 const mcLabelI_t& trkLabel = mTrackMCLabels[i];
1765 if (trkLabel.isValid() && !trkLabel.isNoise()) {
1766 for (int32_t l = 0; l < GetMCLabelNID(cl.num); l++) {
1767 const mcLabelI_t& clLabel = GetMCLabel(cl.num, l);
1768 if (clLabel.isValid() && !clLabel.isNoise() && CompareIgnoreFake(trkLabel, clLabel)) {
1769 labelOk = true;
1770 if (!trkLabel.isFake()) {
1771 labelOkNonFake = true;
1772 }
1773 break;
1774 }
1775 }
1776 }
1777 clusterAttachCounts[cl.num][0] += 1.0f;
1778 clusterAttachCounts[cl.num][1] += (float)labelOk / rowClCount;
1779 clusterAttachCounts[cl.num][2] += (float)labelOkNonFake / rowClCount;
1780 }
1781 }
1782 }
1783 if (nClCorrected) {
1784 mNCl[1]->Fill(nClCorrected);
1785 }
1786 mT0[0]->Fill(track.GetParam().GetTOffset());
1787 if (mTrackMCLabels.size() && !mTrackMCLabels[i].isFake() && !track.MergedLooper() && !track.CCE()) {
1788 const auto& info = GetMCTrack(mTrackMCLabels[i]);
1789 if (info.t0 != -100.f) {
1790 mT0[1]->Fill(track.GetParam().GetTOffset() - info.t0);
1791 }
1792 }
1793 }
1794 if (mClNative && mTracking && mTracking->GetTPCTransformHelper()) {
1795 for (uint32_t i = 0; i < GPUChainTracking::NSECTORS; i++) {
1796 for (uint32_t j = 0; j < GPUCA_ROW_COUNT; j++) {
1797 for (uint32_t k = 0; k < mClNative->nClusters[i][j]; k++) {
1798 const auto& cl = mClNative->clusters[i][j][k];
1799 float x, y, z;
1800 GPUTPCConvertImpl::convert(*mTracking->GetTPCTransformHelper()->getCorrMap(), mTracking->GetParam(), i, j, cl.getPad(), cl.getTime(), x, y, z);
1801 mTracking->GetParam().Sector2Global(i, x, y, z, &x, &y, &z);
1802 mClXY->Fill(x, y);
1803 }
1804 }
1805 }
1806 }
1807 if (mcAvail) {
1808 double clusterAttachNormalizedCount = 0, clusterAttachNormalizedCountNonFake = 0;
1809 for (uint32_t i = 0; i < clusterAttachCounts.size(); i++) {
1810 if (clusterAttachCounts[i][0]) {
1811 clusterAttachNormalizedCount += clusterAttachCounts[i][1] / clusterAttachCounts[i][0];
1812 clusterAttachNormalizedCountNonFake += clusterAttachCounts[i][2] / clusterAttachCounts[i][0];
1813 }
1814 }
1815 mClusterCounts.nCorrectlyAttachedNormalized = clusterAttachNormalizedCount;
1816 mClusterCounts.nCorrectlyAttachedNormalizedNonFake = clusterAttachNormalizedCountNonFake;
1817 clusterAttachCounts.clear();
1818 }
1819
1820 if (timer.IsRunning()) {
1821 GPUInfo("QA Time: Fill track statistics:\t%6.0f us", timer.GetCurrentElapsedTime(true) * 1e6);
1822 }
1823 }
1824
1825 uint32_t nCl = clNative ? clNative->nClustersTotal : mTracking->GetProcessors()->tpcMerger.NMaxClusters();
1826 mClusterCounts.nTotal += nCl;
1827 if (mQATasks & (taskClusterCounts | taskClusterRejection)) {
1828 for (uint32_t iSector = 0; iSector < GPUCA_NSECTORS; iSector++) {
1829 for (uint32_t iRow = 0; iRow < GPUCA_ROW_COUNT; iRow++) {
1830 for (uint32_t iCl = 0; iCl < clNative->nClusters[iSector][iRow]; iCl++) {
1831 uint32_t i = clNative->clusterOffset[iSector][iRow] + iCl;
1832 int32_t attach = mTracking->mIOPtrs.mergedTrackHitAttachment[i];
1833 const auto& r = checkClusterState<true>(attach, &mClusterCounts);
1834
1835 if (mQATasks & taskClusterRejection) {
1836 if (mcAvail) {
1837 float totalWeight = 0, weight400 = 0, weight40 = 0;
1838 for (int32_t j = 0; j < GetMCLabelNID(i); j++) {
1839 const auto& label = GetMCLabel(i, j);
1840 if (GetMCLabelID(label) >= 0) {
1841 totalWeight += GetMCLabelWeight(label);
1842 if (GetMCTrackObj(mMCParam, label).pt >= 0.4) {
1843 weight400 += GetMCLabelWeight(label);
1844 }
1845 if (GetMCTrackObj(mMCParam, label).pt <= 0.04) {
1846 weight40 += GetMCLabelWeight(label);
1847 }
1848 }
1849 }
1850 if (totalWeight > 0 && 10.f * weight400 >= totalWeight) {
1851 if (!r.unattached && !r.protect && !r.physics) {
1852 mClusterCounts.nFakeRemove400++;
1853 int32_t totalFake = weight400 < 0.9f * totalWeight;
1854 if (totalFake) {
1855 mClusterCounts.nFullFakeRemove400++;
1856 }
1857 /*printf("Fake removal (%d): Hit %7d, attached %d lowPt %d looper %d tube200 %d highIncl %d tube %d bad %d recPt %7.2f recLabel %6d", totalFake, i, (int32_t) (mClusterParam[i].attached || mClusterParam[i].fakeAttached),
1858 (int32_t) lowPt, (int32_t) ((attach & gputpcgmmergertypes::attachGoodLeg) == 0), (int32_t) ((attach & gputpcgmmergertypes::attachTube) && mev200),
1859 (int32_t) ((attach & gputpcgmmergertypes::attachHighIncl) != 0), (int32_t) ((attach & gputpcgmmergertypes::attachTube) != 0), (int32_t) ((attach & gputpcgmmergertypes::attachGood) == 0),
1860 fabsf(qpt) > 0 ? 1.f / qpt : 0.f, id);
1861 for (int32_t j = 0;j < GetMCLabelNID(i);j++)
1862 {
1863 //if (GetMCLabelID(i, j) < 0) break;
1864 printf(" - label%d %6d weight %5d", j, GetMCLabelID(i, j), (int32_t) GetMCLabelWeight(i, j));
1865 if (GetMCLabelID(i, j) >= 0) printf(" - pt %7.2f", mMCParam[GetMCLabelID(i, j)].pt);
1866 else printf(" ");
1867 }
1868 printf("\n");*/
1869 }
1870 mClusterCounts.nAbove400++;
1871 }
1872 if (totalWeight > 0 && weight40 >= 0.9 * totalWeight) {
1873 mClusterCounts.nBelow40++;
1874 if (r.protect || r.physics) {
1875 mClusterCounts.nFakeProtect40++;
1876 }
1877 }
1878 }
1879
1880 if (r.physics) {
1881 mClusterCounts.nPhysics++;
1882 }
1883 if (r.protect) {
1884 mClusterCounts.nProt++;
1885 }
1886 if (r.unattached) {
1887 mClusterCounts.nUnattached++;
1888 }
1889 }
1890 if (mQATasks & taskClusterRejection) {
1891 if (mTracking && clNative) {
1892 const auto& cl = clNative->clustersLinear[i];
1893 mClRej[0]->Fill(cl.getPad() - GPUTPCGeometry::NPads(iRow) / 2 + 0.5, iRow, 1.f);
1894 if (!r.unattached && !r.protect) {
1895 mClRej[1]->Fill(cl.getPad() - GPUTPCGeometry::NPads(iRow) / 2 + 0.5, iRow, 1.f);
1896 }
1897 }
1898 }
1899 }
1900 }
1901 }
1902 }
1903
1904 // Process cluster count statistics
1905 if ((mQATasks & taskClusterCounts) && mConfig.clusterRejectionHistograms) {
1906 DoClusterCounts(nullptr);
1907 mClusterCounts = counts_t();
1908 }
1909
1910 if (timer.IsRunning()) {
1911 GPUInfo("QA Time: Cluster Counts:\t%6.0f us", timer.GetCurrentElapsedTime(true) * 1e6);
1912 }
1913
1914 if (mConfig.dumpToROOT && !tracksExternal) {
1915 if (!clNative || !mTracking || !mTracking->mIOPtrs.mergedTrackHitAttachment || !mTracking->mIOPtrs.mergedTracks) {
1916 throw std::runtime_error("Cannot dump non o2::tpc::clusterNative clusters, need also hit attachmend and GPU tracks");
1917 }
1918 uint32_t clid = 0;
1919 for (uint32_t i = 0; i < GPUChainTracking::NSECTORS; i++) {
1920 for (uint32_t j = 0; j < GPUCA_ROW_COUNT; j++) {
1921 for (uint32_t k = 0; k < mClNative->nClusters[i][j]; k++) {
1922 const auto& cl = mClNative->clusters[i][j][k];
1923 uint32_t attach = mTracking->mIOPtrs.mergedTrackHitAttachment[clid];
1924 float x = 0, y = 0, z = 0;
1925 if (attach & gputpcgmmergertypes::attachFlagMask) {
1926 uint32_t track = attach & gputpcgmmergertypes::attachTrackMask;
1927 const auto& trk = mTracking->mIOPtrs.mergedTracks[track];
1928 mTracking->GetTPCTransformHelper()->Transform(i, j, cl.getPad(), cl.getTime(), x, y, z, trk.GetParam().GetTOffset());
1929 mTracking->GetParam().Sector2Global(i, x, y, z, &x, &y, &z);
1930 }
1931 uint32_t extState = mTracking->mIOPtrs.mergedTrackHitStates ? mTracking->mIOPtrs.mergedTrackHitStates[clid] : 0;
1932
1933 if (mConfig.dumpToROOT >= 2) {
1934 GPUTPCGMMergedTrack trk;
1935 GPUTPCGMMergedTrackHit trkHit;
1936 memset((void*)&trk, 0, sizeof(trk));
1937 memset((void*)&trkHit, 0, sizeof(trkHit));
1938 if (attach & gputpcgmmergertypes::attachFlagMask) {
1939 uint32_t track = attach & gputpcgmmergertypes::attachTrackMask;
1940 trk = mTracking->mIOPtrs.mergedTracks[track];
1941 for (uint32_t l = 0; l < trk.NClusters(); l++) {
1942 const auto& tmp = mTracking->mIOPtrs.mergedTrackHits[trk.FirstClusterRef() + l];
1943 if (tmp.num == clid) {
1944 trkHit = tmp;
1945 break;
1946 }
1947 }
1948 }
1949 static auto cldump = GPUROOTDump<o2::tpc::ClusterNative, GPUTPCGMMergedTrack, GPUTPCGMMergedTrackHit, uint32_t, uint32_t, float, float, float, uint32_t, uint32_t, uint32_t>::getNew("cluster", "track", "trackHit", "attach", "extState", "x", "y", "z", "sector", "row", "nEv", "clusterTree");
1950 cldump.Fill(cl, trk, trkHit, attach, extState, x, y, z, i, j, mNEvents - 1);
1951 } else {
1952 static auto cldump = GPUROOTDump<o2::tpc::ClusterNative, uint32_t, uint32_t, float, float, float, uint32_t, uint32_t, uint32_t>::getNew("cluster", "attach", "extState", "x", "y", "z", "sector", "row", "nEv", "clusterTree");
1953 cldump.Fill(cl, attach, extState, x, y, z, i, j, mNEvents - 1);
1954 }
1955 clid++;
1956 }
1957 }
1958 }
1959
1960 static auto trkdump = GPUROOTDump<uint32_t, GPUTPCGMMergedTrack>::getNew("nEv", "track", "tracksTree");
1961 for (uint32_t i = 0; i < mTracking->mIOPtrs.nMergedTracks; i++) {
1962 if (mTracking->mIOPtrs.mergedTracks[i].OK()) {
1963 trkdump.Fill(mNEvents - 1, mTracking->mIOPtrs.mergedTracks[i]);
1964 }
1965 }
1966
1967 if (mTracking && mTracking->GetProcessingSettings().createO2Output) {
1968 static auto o2trkdump = GPUROOTDump<uint32_t, o2::tpc::TrackTPC>::getNew("nEv", "track", "tracksO2Tree");
1969 for (uint32_t i = 0; i < mTracking->mIOPtrs.nOutputTracksTPCO2; i++) {
1970 o2trkdump.Fill(mNEvents - 1, mTracking->mIOPtrs.outputTracksTPCO2[i]);
1971 }
1972 }
1973 }
1974
1975 if (mConfig.compareTrackStatus) {
1976#ifdef GPUCA_DETERMINISTIC_MODE
1977 if (!mTracking || !mTracking->GetProcessingSettings().deterministicGPUReconstruction)
1978#endif
1979 {
1980 throw std::runtime_error("Need deterministic processing to compare track status");
1981 }
1982 std::vector<uint8_t> status(mTracking->mIOPtrs.nMergedTracks);
1983 for (uint32_t i = 0; i < mTracking->mIOPtrs.nMergedTracks; i++) {
1984 const auto& trk = mTracking->mIOPtrs.mergedTracks[i];
1985 status[i] = trk.OK() && trk.NClusters() && trk.GetParam().GetNDF() > 0 && (mConfig.noMC || (mTrackMCLabels[i].isValid() && !mTrackMCLabels[i].isFake()));
1986 }
1987 if (mConfig.compareTrackStatus == 1) {
1988 std::ofstream("track.status", std::ios::binary).write((char*)status.data(), status.size() * sizeof(status[0]));
1989 } else if (mConfig.compareTrackStatus == 2) {
1990 std::ifstream f("track.status", std::ios::binary | std::ios::ate);
1991 std::vector<uint8_t> comp(f.tellg());
1992 f.seekg(0);
1993 f.read((char*)comp.data(), comp.size());
1994
1995 if (comp.size() != status.size()) {
1996 throw std::runtime_error("Number of tracks candidates in track fit in track.status and in current reconstruction differ");
1997 }
1998 std::vector<uint32_t> missing, missingComp;
1999 for (uint32_t i = 0; i < status.size(); i++) {
2000 if (status[i] && !comp[i]) {
2001 missingComp.emplace_back(i);
2002 }
2003 if (comp[i] && !status[i]) {
2004 missing.emplace_back(i);
2005 }
2006 }
2007 auto printer = [](std::vector<uint32_t> m, const char* name) {
2008 if (m.size()) {
2009 printf("Missing in %s reconstruction: (%zu)\n", name, m.size());
2010 for (uint32_t i = 0; i < m.size(); i++) {
2011 if (i) {
2012 printf(", ");
2013 }
2014 printf("%d", m[i]);
2015 }
2016 printf("\n");
2017 }
2018 };
2019 printer(missing, "current");
2020 printer(missingComp, "comparison");
2021 }
2022 }
2023
2024 mTrackingScratchBuffer.clear();
2025 mTrackingScratchBuffer.shrink_to_fit();
2026}
2027
2028void GPUQA::GetName(char* fname, int32_t k, bool noDash)
2029{
2030 const int32_t nNewInput = mConfig.inputHistogramsOnly ? 0 : 1;
2031 if (k || mConfig.inputHistogramsOnly || mConfig.name.size()) {
2032 if (!(mConfig.inputHistogramsOnly || k)) {
2033 snprintf(fname, 1024, "%s%s", mConfig.name.c_str(), noDash ? "" : " - ");
2034 } else if (mConfig.compareInputNames.size() > (unsigned)(k - nNewInput)) {
2035 snprintf(fname, 1024, "%s%s", mConfig.compareInputNames[k - nNewInput].c_str(), noDash ? "" : " - ");
2036 } else {
2037 strcpy(fname, mConfig.compareInputs[k - nNewInput].c_str());
2038 if (strlen(fname) > 5 && strcmp(fname + strlen(fname) - 5, ".root") == 0) {
2039 fname[strlen(fname) - 5] = 0;
2040 }
2041 if (!noDash) {
2042 strcat(fname, " - ");
2043 }
2044 }
2045 } else {
2046 fname[0] = 0;
2047 }
2048}
2049
2050template <class T>
2051T* GPUQA::GetHist(T*& ee, std::vector<std::unique_ptr<TFile>>& tin, int32_t k, int32_t nNewInput)
2052{
2053 T* e = ee;
2054 if ((mConfig.inputHistogramsOnly || k) && (e = dynamic_cast<T*>(tin[k - nNewInput]->Get(e->GetName()))) == nullptr) {
2055 GPUWarning("Missing histogram in input %s: %s", mConfig.compareInputs[k - nNewInput].c_str(), ee->GetName());
2056 return (nullptr);
2057 }
2058 ee = e;
2059 return (e);
2060}
2061
2062void GPUQA::DrawQAHistogramsCleanup()
2063{
2064 clearGarbagageCollector();
2065}
2066
2067void GPUQA::resetHists()
2068{
2069 if (!mQAInitialized) {
2070 throw std::runtime_error("QA not initialized");
2071 }
2072 if (mHaveExternalHists) {
2073 throw std::runtime_error("Cannot reset external hists");
2074 }
2075 for (auto& h : *mHist1D) {
2076 h.Reset();
2077 }
2078 for (auto& h : *mHist2D) {
2079 h.Reset();
2080 }
2081 for (auto& h : *mHist1Dd) {
2082 h.Reset();
2083 }
2084 for (auto& h : *mHistGraph) {
2085 h = TGraphAsymmErrors();
2086 }
2087 mClusterCounts = counts_t();
2088}
2089
2090int32_t GPUQA::DrawQAHistograms(TObjArray* qcout)
2091{
2092 const auto oldRootIgnoreLevel = gErrorIgnoreLevel;
2093 gErrorIgnoreLevel = kWarning;
2094 if (!mQAInitialized) {
2095 throw std::runtime_error("QA not initialized");
2096 }
2097
2098 if (mTracking && mTracking->GetProcessingSettings().debugLevel >= 2) {
2099 printf("Creating QA Histograms\n");
2100 }
2101
2102 std::vector<Color_t> colorNums(COLORCOUNT);
2103 if (!(qcout || mConfig.writeFileExt == "root" || mConfig.writeFileExt == "C")) {
2104 [[maybe_unused]] static int32_t initColorsInitialized = initColors();
2105 }
2106 for (int32_t i = 0; i < COLORCOUNT; i++) {
2107 colorNums[i] = (qcout || mConfig.writeFileExt == "root" || mConfig.writeFileExt == "C") ? defaultColorNums[i] : mColors[i]->GetNumber();
2108 }
2109
2110 bool mcAvail = mcPresent();
2111 char name[2048], fname[1024];
2112
2113 const int32_t nNewInput = mConfig.inputHistogramsOnly ? 0 : 1;
2114 const int32_t ConfigNumInputs = nNewInput + mConfig.compareInputs.size();
2115
2116 std::vector<std::unique_ptr<TFile>> tin;
2117 for (uint32_t i = 0; i < mConfig.compareInputs.size(); i++) {
2118 tin.emplace_back(std::make_unique<TFile>(mConfig.compareInputs[i].c_str()));
2119 }
2120 std::unique_ptr<TFile> tout = nullptr;
2121 if (mConfig.output.size()) {
2122 tout = std::make_unique<TFile>(mConfig.output.c_str(), "RECREATE");
2123 }
2124
2125 if (mConfig.enableLocalOutput || mConfig.shipToQCAsCanvas) {
2126 float legendSpacingString = 0.025;
2127 for (int32_t i = 0; i < ConfigNumInputs; i++) {
2128 GetName(fname, i);
2129 if (strlen(fname) * 0.006 > legendSpacingString) {
2130 legendSpacingString = strlen(fname) * 0.006;
2131 }
2132 }
2133
2134 // Create Canvas / Pads for Efficiency Histograms
2135 if (mQATasks & taskTrackingEff) {
2136 for (int32_t ii = 0; ii < 6; ii++) {
2137 snprintf(name, 1024, "eff_vs_%s_layout", VSPARAMETER_NAMES[ii]);
2138 mCEff[ii] = createGarbageCollected<TCanvas>(name, name, 0, 0, 700, 700. * 2. / 3.);
2139 mCEff[ii]->cd();
2140 float dy = 1. / 2.;
2141 mPEff[ii][0] = createGarbageCollected<TPad>("p0", "", 0.0, dy * 0, 0.5, dy * 1);
2142 mPEff[ii][0]->Draw();
2143 mPEff[ii][0]->SetRightMargin(0.04);
2144 mPEff[ii][1] = createGarbageCollected<TPad>("p1", "", 0.5, dy * 0, 1.0, dy * 1);
2145 mPEff[ii][1]->Draw();
2146 mPEff[ii][1]->SetRightMargin(0.04);
2147 mPEff[ii][2] = createGarbageCollected<TPad>("p2", "", 0.0, dy * 1, 0.5, dy * 2 - .001);
2148 mPEff[ii][2]->Draw();
2149 mPEff[ii][2]->SetRightMargin(0.04);
2150 mPEff[ii][3] = createGarbageCollected<TPad>("p3", "", 0.5, dy * 1, 1.0, dy * 2 - .001);
2151 mPEff[ii][3]->Draw();
2152 mPEff[ii][3]->SetRightMargin(0.04);
2153 mLEff[ii] = createGarbageCollected<TLegend>(0.92 - legendSpacingString * 1.45, 0.83 - (0.93 - 0.82) / 2. * (float)ConfigNumInputs, 0.98, 0.849);
2154 SetLegend(mLEff[ii]);
2155 }
2156 }
2157
2158 // Create Canvas / Pads for Resolution Histograms
2159 if (mQATasks & taskTrackingRes) {
2160 for (int32_t ii = 0; ii < 7; ii++) {
2161 if (ii == 6) {
2162 snprintf(name, 1024, "res_integral_layout");
2163 } else {
2164 snprintf(name, 1024, "res_vs_%s_layout", VSPARAMETER_NAMES[ii]);
2165 }
2166 mCRes[ii] = createGarbageCollected<TCanvas>(name, name, 0, 0, 700, 700. * 2. / 3.);
2167 mCRes[ii]->cd();
2168 gStyle->SetOptFit(1);
2169
2170 float dy = 1. / 2.;
2171 mPRes[ii][3] = createGarbageCollected<TPad>("p0", "", 0.0, dy * 0, 0.5, dy * 1);
2172 mPRes[ii][3]->Draw();
2173 mPRes[ii][3]->SetRightMargin(0.04);
2174 mPRes[ii][4] = createGarbageCollected<TPad>("p1", "", 0.5, dy * 0, 1.0, dy * 1);
2175 mPRes[ii][4]->Draw();
2176 mPRes[ii][4]->SetRightMargin(0.04);
2177 mPRes[ii][0] = createGarbageCollected<TPad>("p2", "", 0.0, dy * 1, 1. / 3., dy * 2 - .001);
2178 mPRes[ii][0]->Draw();
2179 mPRes[ii][0]->SetRightMargin(0.04);
2180 mPRes[ii][0]->SetLeftMargin(0.15);
2181 mPRes[ii][1] = createGarbageCollected<TPad>("p3", "", 1. / 3., dy * 1, 2. / 3., dy * 2 - .001);
2182 mPRes[ii][1]->Draw();
2183 mPRes[ii][1]->SetRightMargin(0.04);
2184 mPRes[ii][1]->SetLeftMargin(0.135);
2185 mPRes[ii][2] = createGarbageCollected<TPad>("p4", "", 2. / 3., dy * 1, 1.0, dy * 2 - .001);
2186 mPRes[ii][2]->Draw();
2187 mPRes[ii][2]->SetRightMargin(0.06);
2188 mPRes[ii][2]->SetLeftMargin(0.135);
2189 if (ii < 6) {
2190 mLRes[ii] = createGarbageCollected<TLegend>(0.9 - legendSpacingString * 1.45, 0.93 - (0.93 - 0.86) / 2. * (float)ConfigNumInputs, 0.98, 0.949);
2191 SetLegend(mLRes[ii]);
2192 }
2193 }
2194 }
2195
2196 // Create Canvas / Pads for Pull Histograms
2197 if (mQATasks & taskTrackingResPull) {
2198 for (int32_t ii = 0; ii < 7; ii++) {
2199 if (ii == 6) {
2200 snprintf(name, 1024, "pull_integral_layout");
2201 } else {
2202 snprintf(name, 1024, "pull_vs_%s_layout", VSPARAMETER_NAMES[ii]);
2203 }
2204 mCPull[ii] = createGarbageCollected<TCanvas>(name, name, 0, 0, 700, 700. * 2. / 3.);
2205 mCPull[ii]->cd();
2206 gStyle->SetOptFit(1);
2207
2208 float dy = 1. / 2.;
2209 mPPull[ii][3] = createGarbageCollected<TPad>("p0", "", 0.0, dy * 0, 0.5, dy * 1);
2210 mPPull[ii][3]->Draw();
2211 mPPull[ii][3]->SetRightMargin(0.04);
2212 mPPull[ii][4] = createGarbageCollected<TPad>("p1", "", 0.5, dy * 0, 1.0, dy * 1);
2213 mPPull[ii][4]->Draw();
2214 mPPull[ii][4]->SetRightMargin(0.04);
2215 mPPull[ii][0] = createGarbageCollected<TPad>("p2", "", 0.0, dy * 1, 1. / 3., dy * 2 - .001);
2216 mPPull[ii][0]->Draw();
2217 mPPull[ii][0]->SetRightMargin(0.04);
2218 mPPull[ii][0]->SetLeftMargin(0.15);
2219 mPPull[ii][1] = createGarbageCollected<TPad>("p3", "", 1. / 3., dy * 1, 2. / 3., dy * 2 - .001);
2220 mPPull[ii][1]->Draw();
2221 mPPull[ii][1]->SetRightMargin(0.04);
2222 mPPull[ii][1]->SetLeftMargin(0.135);
2223 mPPull[ii][2] = createGarbageCollected<TPad>("p4", "", 2. / 3., dy * 1, 1.0, dy * 2 - .001);
2224 mPPull[ii][2]->Draw();
2225 mPPull[ii][2]->SetRightMargin(0.06);
2226 mPPull[ii][2]->SetLeftMargin(0.135);
2227 if (ii < 6) {
2228 mLPull[ii] = createGarbageCollected<TLegend>(0.9 - legendSpacingString * 1.45, 0.93 - (0.93 - 0.86) / 2. * (float)ConfigNumInputs, 0.98, 0.949);
2229 SetLegend(mLPull[ii]);
2230 }
2231 }
2232 }
2233
2234 // Create Canvas for Cluster Histos
2235 if (mQATasks & taskClusterAttach) {
2236 for (int32_t i = 0; i < 3; i++) {
2237 snprintf(name, 1024, "clusters_%s_layout", CLUSTER_TYPES[i]);
2238 mCClust[i] = createGarbageCollected<TCanvas>(name, name, 0, 0, 700, 700. * 2. / 3.);
2239 mCClust[i]->cd();
2240 mPClust[i] = createGarbageCollected<TPad>("p0", "", 0.0, 0.0, 1.0, 1.0);
2241 mPClust[i]->Draw();
2242 float y1 = i != 1 ? 0.77 : 0.27, y2 = i != 1 ? 0.9 : 0.42;
2243 mLClust[i] = createGarbageCollected<TLegend>(i == 2 ? 0.1 : (0.65 - legendSpacingString * 1.45), y2 - (y2 - y1) * (ConfigNumInputs + (i != 1) / 2.) + 0.005, i == 2 ? (0.3 + legendSpacingString * 1.45) : 0.9, y2);
2244 SetLegend(mLClust[i]);
2245 }
2246 }
2247
2248 // Create Canvas for track statistic histos
2249 if (mQATasks & taskTrackStatistics) {
2250 mCTracks = createGarbageCollected<TCanvas>("ctrackspt", "ctrackspt", 0, 0, 700, 700. * 2. / 3.);
2251 mCTracks->cd();
2252 mPTracks = createGarbageCollected<TPad>("p0", "", 0.0, 0.0, 1.0, 1.0);
2253 mPTracks->Draw();
2254 mLTracks = createGarbageCollected<TLegend>(0.9 - legendSpacingString * 1.5, 0.93 - (0.93 - 0.86) / 2. * (float)ConfigNumInputs, 0.98, 0.949);
2255 SetLegend(mLTracks, true);
2256
2257 for (int32_t i = 0; i < 2; i++) {
2258 snprintf(name, 2048, "ctrackst0%d", i);
2259 mCT0[i] = createGarbageCollected<TCanvas>(name, name, 0, 0, 700, 700. * 2. / 3.);
2260 mCT0[i]->cd();
2261 mPT0[i] = createGarbageCollected<TPad>("p0", "", 0.0, 0.0, 1.0, 1.0);
2262 mPT0[i]->Draw();
2263 mLT0[i] = createGarbageCollected<TLegend>(0.9 - legendSpacingString * 1.45, 0.93 - (0.93 - 0.86) / 2. * (float)ConfigNumInputs, 0.98, 0.949);
2264 SetLegend(mLT0[i]);
2265
2266 snprintf(name, 2048, "cncl%d", i);
2267 mCNCl[i] = createGarbageCollected<TCanvas>(name, name, 0, 0, 700, 700. * 2. / 3.);
2268 mCNCl[i]->cd();
2269 mPNCl[i] = createGarbageCollected<TPad>("p0", "", 0.0, 0.0, 1.0, 1.0);
2270 mPNCl[i]->Draw();
2271 mLNCl[i] = createGarbageCollected<TLegend>(0.9 - legendSpacingString * 1.45, 0.93 - (0.93 - 0.86) / 2. * (float)ConfigNumInputs, 0.98, 0.949); // TODO: Fix sizing of legend, and also fix font size
2272 SetLegend(mLNCl[i], true);
2273 }
2274
2275 mCClXY = createGarbageCollected<TCanvas>("clxy", "clxy", 0, 0, 700, 700. * 2. / 3.);
2276 mCClXY->cd();
2277 mPClXY = createGarbageCollected<TPad>("p0", "", 0.0, 0.0, 1.0, 1.0);
2278 mPClXY->Draw();
2279 }
2280
2281 if (mQATasks & taskClusterRejection) {
2282 for (int32_t i = 0; i < 3; i++) {
2283 snprintf(name, 2048, "cnclrej%d", i);
2284 mCClRej[i] = createGarbageCollected<TCanvas>(name, name, 0, 0, 700, 700. * 2. / 3.);
2285 mCClRej[i]->cd();
2286 mPClRej[i] = createGarbageCollected<TPad>("p0", "", 0.0, 0.0, 1.0, 1.0);
2287 mPClRej[i]->Draw();
2288 }
2289 mCClRejP = createGarbageCollected<TCanvas>("cnclrejp", "cnclrejp", 0, 0, 700, 700. * 2. / 3.);
2290 mCClRejP->cd();
2291 mPClRejP = createGarbageCollected<TPad>("p0", "", 0.0, 0.0, 1.0, 1.0);
2292 mPClRejP->Draw();
2293 }
2294
2295 if (mQATasks & taskClusterAttach) {
2296 for (int32_t i = 0; i < 4; i++) {
2297 snprintf(name, 2048, "cpadrow%d", i);
2298 mCPadRow[i] = createGarbageCollected<TCanvas>(name, name, 0, 0, 700, 700. * 2. / 3.);
2299 mCPadRow[i]->cd();
2300 mPPadRow[i] = createGarbageCollected<TPad>("p0", "", 0.0, 0.0, 1.0, 1.0);
2301 mPPadRow[i]->Draw();
2302 }
2303 }
2304 }
2305
2306 if (mConfig.enableLocalOutput && !mConfig.inputHistogramsOnly && (mQATasks & taskTrackingEff) && mcPresent()) {
2307 GPUInfo("QA Stats: Eff: Tracks Prim %d (Eta %d, Pt %d) %f%% (%f%%) Sec %d (Eta %d, Pt %d) %f%% (%f%%) - Res: Tracks %d (Eta %d, Pt %d)", (int32_t)mEff[3][1][0][0]->GetEntries(), (int32_t)mEff[3][1][0][3]->GetEntries(), (int32_t)mEff[3][1][0][4]->GetEntries(),
2308 mEff[0][0][0][0]->GetSumOfWeights() / std::max(1., mEff[3][0][0][0]->GetSumOfWeights()), mEff[0][1][0][0]->GetSumOfWeights() / std::max(1., mEff[3][1][0][0]->GetSumOfWeights()), (int32_t)mEff[3][1][1][0]->GetEntries(), (int32_t)mEff[3][1][1][3]->GetEntries(),
2309 (int32_t)mEff[3][1][1][4]->GetEntries(), mEff[0][0][1][0]->GetSumOfWeights() / std::max(1., mEff[3][0][1][0]->GetSumOfWeights()), mEff[0][1][1][0]->GetSumOfWeights() / std::max(1., mEff[3][1][1][0]->GetSumOfWeights()), (int32_t)mRes2[0][0]->GetEntries(),
2310 (int32_t)mRes2[0][3]->GetEntries(), (int32_t)mRes2[0][4]->GetEntries());
2311 }
2312
2313 int32_t flagShowVsPtLog = (mConfig.enableLocalOutput || mConfig.shipToQCAsCanvas) ? 1 : 0;
2314
2315 if (mQATasks & taskTrackingEff) {
2316 // Process / Draw Efficiency Histograms
2317 for (int32_t ii = 0; ii < 5 + flagShowVsPtLog; ii++) {
2318 int32_t i = ii == 5 ? 4 : ii;
2319 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2320 for (int32_t j = 0; j < 4; j++) {
2321 if (mConfig.enableLocalOutput || mConfig.shipToQCAsCanvas) {
2322 mPEff[ii][j]->cd();
2323 if (ii == 5) {
2324 mPEff[ii][j]->SetLogx();
2325 }
2326 }
2327 for (int32_t l = 0; l < 3; l++) {
2328 if (k == 0 && mConfig.inputHistogramsOnly == 0 && ii != 5) {
2329 if (l == 0) {
2330 // Divide eff, compute all for fake/clone
2331 auto oldLevel = gErrorIgnoreLevel;
2332 gErrorIgnoreLevel = kError;
2333 mEffResult[0][j / 2][j % 2][i]->Divide(mEff[l][j / 2][j % 2][i], mEff[5][j / 2][j % 2][i], "cl=0.683 b(1,1) mode");
2334 gErrorIgnoreLevel = oldLevel;
2335 mEff[3][j / 2][j % 2][i]->Reset(); // Sum up rec + clone + fake for fake rate
2336 mEff[3][j / 2][j % 2][i]->Add(mEff[0][j / 2][j % 2][i]);
2337 mEff[3][j / 2][j % 2][i]->Add(mEff[1][j / 2][j % 2][i]);
2338 mEff[3][j / 2][j % 2][i]->Add(mEff[2][j / 2][j % 2][i]);
2339 mEff[4][j / 2][j % 2][i]->Reset(); // Sum up rec + clone for clone rate
2340 mEff[4][j / 2][j % 2][i]->Add(mEff[0][j / 2][j % 2][i]);
2341 mEff[4][j / 2][j % 2][i]->Add(mEff[1][j / 2][j % 2][i]);
2342 } else {
2343 // Divide fake/clone
2344 auto oldLevel = gErrorIgnoreLevel;
2345 gErrorIgnoreLevel = kError;
2346 mEffResult[l][j / 2][j % 2][i]->Divide(mEff[l][j / 2][j % 2][i], mEff[l == 1 ? 4 : 3][j / 2][j % 2][i], "cl=0.683 b(1,1) mode");
2347 gErrorIgnoreLevel = oldLevel;
2348 }
2349 }
2350
2351 TGraphAsymmErrors* e = mEffResult[l][j / 2][j % 2][i];
2352
2353 if (!mConfig.inputHistogramsOnly && k == 0) {
2354 if (tout) {
2355 mEff[l][j / 2][j % 2][i]->Write();
2356 e->Write();
2357 if (l == 2) {
2358 mEff[3][j / 2][j % 2][i]->Write(); // Store also all histogram!
2359 mEff[4][j / 2][j % 2][i]->Write(); // Store also all histogram!
2360 }
2361 }
2362 } else if (GetHist(e, tin, k, nNewInput) == nullptr) {
2363 continue;
2364 }
2365 e->SetTitle(EFFICIENCY_TITLES[j]);
2366 e->GetYaxis()->SetTitle("(Efficiency)");
2367 e->GetXaxis()->SetTitle(XAXIS_TITLES[i]);
2368
2369 e->SetLineWidth(1);
2370 e->SetLineStyle(CONFIG_DASHED_MARKERS ? k + 1 : 1);
2371 SetAxisSize(e);
2372 if (qcout && !mConfig.shipToQCAsCanvas) {
2373 qcout->Add(e);
2374 }
2375 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2376 continue;
2377 }
2378 e->SetMarkerColor(kBlack);
2379 e->SetLineColor(colorNums[(k < 3 ? (l * 3 + k) : (k * 3 + l)) % COLORCOUNT]);
2380 e->GetHistogram()->GetYaxis()->SetRangeUser(-0.02, 1.02);
2381 e->Draw(k || l ? "same P" : "AP");
2382 if (j == 0) {
2383 GetName(fname, k);
2384 mLEff[ii]->AddEntry(e, Form("%s%s", fname, EFF_NAMES[l]), "l");
2385 }
2386 }
2387 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2388 continue;
2389 }
2390 mCEff[ii]->cd();
2391 ChangePadTitleSize(mPEff[ii][j], 0.056);
2392 }
2393 }
2394 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2395 continue;
2396 }
2397
2398 mLEff[ii]->Draw();
2399
2400 if (qcout) {
2401 qcout->Add(mCEff[ii]);
2402 }
2403 if (!mConfig.enableLocalOutput) {
2404 continue;
2405 }
2406 doPerfFigure(0.2, 0.295, 0.025);
2407 mCEff[ii]->Print(Form("%s/eff_vs_%s.pdf", mConfig.plotsDir.c_str(), VSPARAMETER_NAMES[ii]));
2408 if (mConfig.writeFileExt != "") {
2409 mCEff[ii]->Print(Form("%s/eff_vs_%s.%s", mConfig.plotsDir.c_str(), VSPARAMETER_NAMES[ii], mConfig.writeFileExt.c_str()));
2410 }
2411 }
2412 }
2413
2414 if (mQATasks & (taskTrackingRes | taskTrackingResPull)) {
2415 // Process / Draw Resolution Histograms
2416 TH1D *resIntegral[5] = {}, *pullIntegral[5] = {};
2417 TCanvas* cfit = nullptr;
2418 std::unique_ptr<TF1> customGaus = std::make_unique<TF1>("G", "[0]*exp(-(x-[1])*(x-[1])/(2.*[2]*[2]))");
2419 for (int32_t p = 0; p < 2; p++) {
2420 if ((p == 0 && (mQATasks & taskTrackingRes) == 0) || (p == 1 && (mQATasks & taskTrackingResPull) == 0)) {
2421 continue;
2422 }
2423 for (int32_t ii = 0; ii < 5 + flagShowVsPtLog; ii++) {
2424 TCanvas* can = p ? mCPull[ii] : mCRes[ii];
2425 TLegend* leg = p ? mLPull[ii] : mLRes[ii];
2426 int32_t i = ii == 5 ? 4 : ii;
2427 for (int32_t j = 0; j < 5; j++) {
2428 TH2F* src = p ? mPull2[j][i] : mRes2[j][i];
2429 TH1F** dst = p ? mPull[j][i] : mRes[j][i];
2430 TH1D*& dstIntegral = p ? pullIntegral[j] : resIntegral[j];
2431 TPad* pad = p ? mPPull[ii][j] : mPRes[ii][j];
2432
2433 if (!mConfig.inputHistogramsOnly && ii != 5) {
2434 if (cfit == nullptr) {
2435 cfit = createGarbageCollected<TCanvas>();
2436 }
2437 cfit->cd();
2438
2439 TAxis* axis = src->GetYaxis();
2440 int32_t nBins = axis->GetNbins();
2441 int32_t integ = 1;
2442 for (int32_t bin = 1; bin <= nBins; bin++) {
2443 int32_t bin0 = std::max(bin - integ, 0);
2444 int32_t bin1 = std::min(bin + integ, nBins);
2445 std::unique_ptr<TH1D> proj{src->ProjectionX("proj", bin0, bin1)};
2446 proj->ClearUnderflowAndOverflow();
2447 if (proj->GetEntries()) {
2448 uint32_t rebin = 1;
2449 while (proj->GetMaximum() < 50 && rebin < sizeof(RES_AXIS_BINS) / sizeof(RES_AXIS_BINS[0])) {
2450 proj->Rebin(RES_AXIS_BINS[rebin - 1] / RES_AXIS_BINS[rebin]);
2451 rebin++;
2452 }
2453
2454 if (proj->GetEntries() < 20 || proj->GetRMS() < 0.00001) {
2455 dst[0]->SetBinContent(bin, proj->GetRMS());
2456 dst[0]->SetBinError(bin, std::sqrt(proj->GetRMS()));
2457 dst[1]->SetBinContent(bin, proj->GetMean());
2458 dst[1]->SetBinError(bin, std::sqrt(proj->GetRMS()));
2459 } else {
2460 proj->GetXaxis()->SetRange(0, 0);
2461 proj->GetXaxis()->SetRangeUser(std::max(proj->GetXaxis()->GetXmin(), proj->GetMean() - 3. * proj->GetRMS()), std::min(proj->GetXaxis()->GetXmax(), proj->GetMean() + 3. * proj->GetRMS()));
2462 bool forceLogLike = proj->GetMaximum() < 20;
2463 for (int32_t k = forceLogLike ? 2 : 0; k < 3; k++) {
2464 proj->Fit("gaus", forceLogLike || k == 2 ? "sQl" : k ? "sQww" : "sQ");
2465 TF1* fitFunc = proj->GetFunction("gaus");
2466
2467 if (k && !forceLogLike) {
2468 customGaus->SetParameters(fitFunc->GetParameter(0), fitFunc->GetParameter(1), fitFunc->GetParameter(2));
2469 proj->Fit(customGaus.get(), "sQ");
2470 fitFunc = customGaus.get();
2471 }
2472
2473 const float sigma = fabs(fitFunc->GetParameter(2));
2474 dst[0]->SetBinContent(bin, sigma);
2475 dst[1]->SetBinContent(bin, fitFunc->GetParameter(1));
2476 dst[0]->SetBinError(bin, fitFunc->GetParError(2));
2477 dst[1]->SetBinError(bin, fitFunc->GetParError(1));
2478
2479 const bool fail1 = sigma <= 0.f;
2480 const bool fail2 = fabs(proj->GetMean() - dst[1]->GetBinContent(bin)) > std::min<float>(p ? PULL_AXIS : mConfig.nativeFitResolutions ? RES_AXES_NATIVE[j] : RES_AXES[j], 3.f * proj->GetRMS());
2481 const bool fail3 = dst[0]->GetBinContent(bin) > 3.f * proj->GetRMS() || dst[0]->GetBinError(bin) > 1 || dst[1]->GetBinError(bin) > 1;
2482 const bool fail4 = fitFunc->GetParameter(0) < proj->GetMaximum() / 5.;
2483 const bool fail = fail1 || fail2 || fail3 || fail4;
2484 // if (p == 0 && ii == 4 && j == 2) DrawHisto(proj, Form("Hist_bin_%d-%d_vs_%d____%d_%d___%f-%f___%f-%f___%d.pdf", p, j, ii, bin, k, dst[0]->GetBinContent(bin), proj->GetRMS(), dst[1]->GetBinContent(bin), proj->GetMean(), (int32_t) fail), "");
2485
2486 if (!fail) {
2487 break;
2488 } else if (k >= 2) {
2489 dst[0]->SetBinContent(bin, proj->GetRMS());
2490 dst[0]->SetBinError(bin, std::sqrt(proj->GetRMS()));
2491 dst[1]->SetBinContent(bin, proj->GetMean());
2492 dst[1]->SetBinError(bin, std::sqrt(proj->GetRMS()));
2493 }
2494 }
2495 }
2496 } else {
2497 dst[0]->SetBinContent(bin, 0.f);
2498 dst[0]->SetBinError(bin, 0.f);
2499 dst[1]->SetBinContent(bin, 0.f);
2500 dst[1]->SetBinError(bin, 0.f);
2501 }
2502 }
2503 if (ii == 0) {
2504 dstIntegral = src->ProjectionX(mConfig.nativeFitResolutions ? PARAMETER_NAMES_NATIVE[j] : PARAMETER_NAMES[j], 0, nBins + 1);
2505 uint32_t rebin = 1;
2506 while (dstIntegral->GetMaximum() < 50 && rebin < sizeof(RES_AXIS_BINS) / sizeof(RES_AXIS_BINS[0])) {
2507 dstIntegral->Rebin(RES_AXIS_BINS[rebin - 1] / RES_AXIS_BINS[rebin]);
2508 rebin++;
2509 }
2510 }
2511 }
2512 if (ii == 0) {
2513 if (mConfig.inputHistogramsOnly) {
2514 dstIntegral = createGarbageCollected<TH1D>();
2515 }
2516 dstIntegral->SetName(Form(p ? "IntPull%s" : "IntRes%s", VSPARAMETER_NAMES[j]));
2517 dstIntegral->SetTitle(Form(p ? "%s Pull" : "%s Resolution", p || mConfig.nativeFitResolutions ? PARAMETER_NAMES_NATIVE[j] : PARAMETER_NAMES[j]));
2518 }
2519 if (mConfig.enableLocalOutput || mConfig.shipToQCAsCanvas) {
2520 pad->cd();
2521 }
2522 int32_t numColor = 0;
2523 float tmpMax = -1000.;
2524 float tmpMin = 1000.;
2525
2526 for (int32_t l = 0; l < 2; l++) {
2527 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2528 TH1F* e = dst[l];
2529 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2530 continue;
2531 }
2532 if (nNewInput && k == 0 && ii != 5) {
2533 if (p == 0) {
2534 e->Scale(mConfig.nativeFitResolutions ? SCALE_NATIVE[j] : SCALE[j]);
2535 }
2536 }
2537 if (ii == 4) {
2538 e->GetXaxis()->SetRangeUser(0.2, PT_MAX);
2539 } else if (LOG_PT_MIN > 0 && ii == 5) {
2540 e->GetXaxis()->SetRangeUser(LOG_PT_MIN, PT_MAX);
2541 } else if (ii == 5) {
2542 e->GetXaxis()->SetRange(1, 0);
2543 }
2544 e->SetMinimum(-1111);
2545 e->SetMaximum(-1111);
2546
2547 if (e->GetMaximum() > tmpMax) {
2548 tmpMax = e->GetMaximum();
2549 }
2550 if (e->GetMinimum() < tmpMin) {
2551 tmpMin = e->GetMinimum();
2552 }
2553 }
2554 }
2555
2556 float tmpSpan;
2557 tmpSpan = tmpMax - tmpMin;
2558 tmpMax += tmpSpan * .02;
2559 tmpMin -= tmpSpan * .02;
2560 if (j == 2 && i < 3) {
2561 tmpMax += tmpSpan * 0.13 * ConfigNumInputs;
2562 }
2563
2564 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2565 for (int32_t l = 0; l < 2; l++) {
2566 TH1F* e = dst[l];
2567 if (!mConfig.inputHistogramsOnly && k == 0) {
2568 e->SetTitle(Form(p ? "%s Pull" : "%s Resolution", p || mConfig.nativeFitResolutions ? PARAMETER_NAMES_NATIVE[j] : PARAMETER_NAMES[j]));
2569 e->SetStats(kFALSE);
2570 if (tout) {
2571 if (l == 0) {
2572 mRes2[j][i]->SetOption("colz");
2573 mRes2[j][i]->Write();
2574 }
2575 e->Write();
2576 }
2577 } else if (GetHist(e, tin, k, nNewInput) == nullptr) {
2578 continue;
2579 }
2580 e->SetMaximum(tmpMax);
2581 e->SetMinimum(tmpMin);
2582 e->SetLineWidth(1);
2583 e->SetLineStyle(CONFIG_DASHED_MARKERS ? k + 1 : 1);
2584 SetAxisSize(e);
2585 e->GetYaxis()->SetTitle(p ? AXIS_TITLES_PULL[j] : mConfig.nativeFitResolutions ? AXIS_TITLES_NATIVE[j] : AXIS_TITLES[j]);
2586 e->GetXaxis()->SetTitle(XAXIS_TITLES[i]);
2587 if (LOG_PT_MIN > 0 && ii == 5) {
2588 e->GetXaxis()->SetRangeUser(LOG_PT_MIN, PT_MAX);
2589 }
2590
2591 if (j == 0) {
2592 e->GetYaxis()->SetTitleOffset(1.5);
2593 } else if (j < 3) {
2594 e->GetYaxis()->SetTitleOffset(1.4);
2595 }
2596 if (qcout && !mConfig.shipToQCAsCanvas) {
2597 qcout->Add(e);
2598 }
2599 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2600 continue;
2601 }
2602
2603 e->SetMarkerColor(kBlack);
2604 e->SetLineColor(colorNums[numColor++ % COLORCOUNT]);
2605 e->Draw(k || l ? "same" : "");
2606 if (j == 0) {
2607 GetName(fname, k);
2608 leg->AddEntry(e, Form("%s%s", fname, l ? "Mean" : (p ? "Pull" : "Resolution")), "l");
2609 }
2610 }
2611 }
2612 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2613 continue;
2614 }
2615
2616 if (ii == 5) {
2617 pad->SetLogx();
2618 }
2619 can->cd();
2620 if (j == 4) {
2621 ChangePadTitleSize(pad, 0.056);
2622 }
2623 }
2624 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2625 continue;
2626 }
2627
2628 leg->Draw();
2629
2630 if (qcout) {
2631 qcout->Add(can);
2632 }
2633 if (!mConfig.enableLocalOutput) {
2634 continue;
2635 }
2636 doPerfFigure(0.2, 0.295, 0.025);
2637 can->Print(Form(p ? "%s/pull_vs_%s.pdf" : "%s/res_vs_%s.pdf", mConfig.plotsDir.c_str(), VSPARAMETER_NAMES[ii]));
2638 if (mConfig.writeFileExt != "") {
2639 can->Print(Form(p ? "%s/pull_vs_%s.%s" : "%s/res_vs_%s.%s", mConfig.plotsDir.c_str(), VSPARAMETER_NAMES[ii], mConfig.writeFileExt.c_str()));
2640 }
2641 }
2642 }
2643
2644 // Process Integral Resolution Histogreams
2645 for (int32_t p = 0; p < 2; p++) {
2646 if ((p == 0 && (mQATasks & taskTrackingRes) == 0) || (p == 1 && (mQATasks & taskTrackingResPull) == 0)) {
2647 continue;
2648 }
2649 TCanvas* can = p ? mCPull[6] : mCRes[6];
2650 for (int32_t i = 0; i < 5; i++) {
2651 TPad* pad = p ? mPPull[6][i] : mPRes[6][i];
2652 TH1D* hist = p ? pullIntegral[i] : resIntegral[i];
2653 int32_t numColor = 0;
2654 if (mConfig.enableLocalOutput || mConfig.shipToQCAsCanvas) {
2655 pad->cd();
2656 }
2657 if (!mConfig.inputHistogramsOnly && mcAvail) {
2658 TH1D* e = hist;
2659 if (e && e->GetEntries()) {
2660 e->Fit("gaus", "sQ");
2661 }
2662 }
2663
2664 float tmpMax = 0;
2665 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2666 TH1D* e = hist;
2667 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2668 continue;
2669 }
2670 e->SetMaximum(-1111);
2671 if (e->GetMaximum() > tmpMax) {
2672 tmpMax = e->GetMaximum();
2673 }
2674 }
2675
2676 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2677 TH1D* e = hist;
2678 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2679 continue;
2680 }
2681 e->SetMaximum(tmpMax * 1.02);
2682 e->SetMinimum(tmpMax * -0.02);
2683 if (tout && !mConfig.inputHistogramsOnly && k == 0) {
2684 e->Write();
2685 }
2686 if (qcout && !mConfig.shipToQCAsCanvas) {
2687 qcout->Add(e);
2688 }
2689 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2690 continue;
2691 }
2692
2693 e->SetLineColor(colorNums[numColor++ % COLORCOUNT]);
2694 e->Draw(k == 0 ? "" : "same");
2695 }
2696 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2697 continue;
2698 }
2699 can->cd();
2700 }
2701 if (qcout) {
2702 qcout->Add(can);
2703 }
2704 if (!mConfig.enableLocalOutput) {
2705 continue;
2706 }
2707
2708 can->Print(Form(p ? "%s/pull_integral.pdf" : "%s/res_integral.pdf", mConfig.plotsDir.c_str()));
2709 if (mConfig.writeFileExt != "") {
2710 can->Print(Form(p ? "%s/pull_integral.%s" : "%s/res_integral.%s", mConfig.plotsDir.c_str(), mConfig.writeFileExt.c_str()));
2711 }
2712 }
2713 }
2714
2715 uint64_t attachClusterCounts[N_CLS_HIST];
2716 if (mQATasks & taskClusterAttach) {
2717 // Process Cluster Attachment Histograms
2718 if (mConfig.inputHistogramsOnly == 0) {
2719 for (int32_t i = N_CLS_HIST; i < N_CLS_TYPE * N_CLS_HIST - 1; i++) {
2720 mClusters[i]->Sumw2(true);
2721 }
2722 double totalVal = 0;
2723 if (!CLUST_HIST_INT_SUM) {
2724 for (int32_t j = 0; j < mClusters[N_CLS_HIST - 1]->GetXaxis()->GetNbins() + 2; j++) {
2725 totalVal += mClusters[N_CLS_HIST - 1]->GetBinContent(j);
2726 }
2727 }
2728 if (totalVal == 0.) {
2729 totalVal = 1.;
2730 }
2731 for (int32_t i = 0; i < N_CLS_HIST; i++) {
2732 double val = 0;
2733 for (int32_t j = 0; j < mClusters[i]->GetXaxis()->GetNbins() + 2; j++) {
2734 val += mClusters[i]->GetBinContent(j);
2735 mClusters[2 * N_CLS_HIST - 1 + i]->SetBinContent(j, val / totalVal);
2736 }
2737 attachClusterCounts[i] = val;
2738 }
2739
2740 if (!CLUST_HIST_INT_SUM) {
2741 for (int32_t i = 0; i < N_CLS_HIST; i++) {
2742 mClusters[2 * N_CLS_HIST - 1 + i]->SetMaximum(1.02);
2743 mClusters[2 * N_CLS_HIST - 1 + i]->SetMinimum(-0.02);
2744 }
2745 }
2746
2747 for (int32_t i = 0; i < N_CLS_HIST - 1; i++) {
2748 auto oldLevel = gErrorIgnoreLevel;
2749 gErrorIgnoreLevel = kError;
2750 mClusters[N_CLS_HIST + i]->Divide(mClusters[i], mClusters[N_CLS_HIST - 1], 1, 1, "B");
2751 gErrorIgnoreLevel = oldLevel;
2752 mClusters[N_CLS_HIST + i]->SetMinimum(-0.02);
2753 mClusters[N_CLS_HIST + i]->SetMaximum(1.02);
2754 }
2755 }
2756
2757 float tmpMax[2] = {0, 0}, tmpMin[2] = {0, 0};
2758 for (int32_t l = 0; l <= CLUST_HIST_INT_SUM; l++) {
2759 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2760 TH1* e = mClusters[l ? (N_CLS_TYPE * N_CLS_HIST - 2) : (N_CLS_HIST - 1)];
2761 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2762 continue;
2763 }
2764 e->SetMinimum(-1111);
2765 e->SetMaximum(-1111);
2766 if (l == 0) {
2767 e->GetXaxis()->SetRange(2, AXIS_BINS[4]);
2768 }
2769 if (e->GetMaximum() > tmpMax[l]) {
2770 tmpMax[l] = e->GetMaximum();
2771 }
2772 if (e->GetMinimum() < tmpMin[l]) {
2773 tmpMin[l] = e->GetMinimum();
2774 }
2775 }
2776 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2777 for (int32_t i = 0; i < N_CLS_HIST; i++) {
2778 TH1* e = mClusters[l ? (2 * N_CLS_HIST - 1 + i) : i];
2779 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2780 continue;
2781 }
2782 e->SetMaximum(tmpMax[l] * 1.02);
2783 e->SetMinimum(tmpMax[l] * -0.02);
2784 }
2785 }
2786 }
2787
2788 for (int32_t i = 0; i < N_CLS_TYPE; i++) {
2789 if (mConfig.enableLocalOutput || mConfig.shipToQCAsCanvas) {
2790 mPClust[i]->cd();
2791 mPClust[i]->SetLogx();
2792 }
2793 int32_t begin = i == 2 ? (2 * N_CLS_HIST - 1) : i == 1 ? N_CLS_HIST : 0;
2794 int32_t end = i == 2 ? (3 * N_CLS_HIST - 1) : i == 1 ? (2 * N_CLS_HIST - 1) : N_CLS_HIST;
2795 int32_t numColor = 0;
2796 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2797 for (int32_t j = end - 1; j >= begin; j--) {
2798 TH1* e = mClusters[j];
2799 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2800 continue;
2801 }
2802
2803 e->SetTitle(CLUSTER_TITLES[i]);
2804 e->GetYaxis()->SetTitle(i == 0 ? "Number of TPC clusters" : i == 1 ? "Fraction of TPC clusters" : CLUST_HIST_INT_SUM ? "Total TPC clusters (integrated)" : "Fraction of TPC clusters (integrated)");
2805 e->GetXaxis()->SetTitle("#it{p}_{Tmc} (GeV/#it{c})");
2806 e->GetXaxis()->SetTitleOffset(1.1);
2807 e->GetXaxis()->SetLabelOffset(-0.005);
2808 if (tout && !mConfig.inputHistogramsOnly && k == 0) {
2809 e->Write();
2810 }
2811 e->SetStats(kFALSE);
2812 e->SetLineWidth(1);
2813 e->SetLineStyle(CONFIG_DASHED_MARKERS ? j + 1 : 1);
2814 if (i == 0) {
2815 e->GetXaxis()->SetRange(2, AXIS_BINS[4]);
2816 }
2817 if (qcout && !mConfig.shipToQCAsCanvas) {
2818 qcout->Add(e);
2819 }
2820 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2821 continue;
2822 }
2823
2824 e->SetMarkerColor(kBlack);
2825 e->SetLineColor(colorNums[numColor++ % COLORCOUNT]);
2826 e->Draw(j == end - 1 && k == 0 ? "" : "same");
2827 GetName(fname, k);
2828 mLClust[i]->AddEntry(e, Form("%s%s", fname, CLUSTER_NAMES[j - begin]), "l");
2829 }
2830 }
2831 if (ConfigNumInputs == 1) {
2832 TH1* e = reinterpret_cast<TH1F*>(mClusters[begin + CL_att_adj]->Clone());
2833 e->Add(mClusters[begin + CL_prot], -1);
2834 if (qcout && !mConfig.shipToQCAsCanvas) {
2835 qcout->Add(e);
2836 }
2837 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2838 continue;
2839 }
2840
2841 e->SetLineColor(colorNums[numColor++ % COLORCOUNT]);
2842 e->Draw("same");
2843 mLClust[i]->AddEntry(e, "Removed (Strategy A)", "l");
2844 }
2845 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2846 continue;
2847 }
2848
2849 mLClust[i]->Draw();
2850
2851 if (qcout) {
2852 qcout->Add(mCClust[i]);
2853 }
2854 if (!mConfig.enableLocalOutput) {
2855 continue;
2856 }
2857 doPerfFigure(i == 0 ? 0.37 : (i == 1 ? 0.34 : 0.6), 0.295, 0.030);
2858 mCClust[i]->cd();
2859 mCClust[i]->Print(Form(i == 2 ? "%s/clusters_integral.pdf" : i == 1 ? "%s/clusters_relative.pdf" : "%s/clusters.pdf", mConfig.plotsDir.c_str()));
2860 if (mConfig.writeFileExt != "") {
2861 mCClust[i]->Print(Form(i == 2 ? "%s/clusters_integral.%s" : i == 1 ? "%s/clusters_relative.%s" : "%s/clusters.%s", mConfig.plotsDir.c_str(), mConfig.writeFileExt.c_str()));
2862 }
2863 }
2864
2865 for (int32_t i = 0; i < 4; i++) {
2866 auto* e = mPadRow[i];
2867 if (tout && !mConfig.inputHistogramsOnly) {
2868 e->Write();
2869 }
2870 mPPadRow[i]->cd();
2871 e->SetOption("colz");
2872 std::string title = "First Track Pad Row (p_{T} > 1GeV, N_{Cl} #geq " + std::to_string(PADROW_CHECK_MINCLS);
2873 if (i >= 2) {
2874 title += ", row_{trk} > row_{MC} + 3, row_{MC} < 10";
2875 }
2876 if (i >= 3) {
2877 title += ", #Phi_{Cl} < 0.15";
2878 }
2879 title += ")";
2880
2881 e->SetTitle(title.c_str());
2882 e->GetXaxis()->SetTitle(i == 3 ? "Local Occupancy" : (i ? "#Phi_{Cl} (sector)" : "First MC Pad Row"));
2883 e->GetYaxis()->SetTitle("First Pad Row");
2884 e->Draw();
2885 mCPadRow[i]->cd();
2886 static const constexpr char* PADROW_NAMES[4] = {"MC", "Phi", "Phi1", "Occ"};
2887 mCPadRow[i]->Print(Form("%s/padRow%s.pdf", mConfig.plotsDir.c_str(), PADROW_NAMES[i]));
2888 if (mConfig.writeFileExt != "") {
2889 mCPadRow[i]->Print(Form("%s/padRow%s.%s", mConfig.plotsDir.c_str(), PADROW_NAMES[i], mConfig.writeFileExt.c_str()));
2890 }
2891 }
2892 }
2893
2894 // Process cluster count statistics
2895 if ((mQATasks & taskClusterCounts) && !mHaveExternalHists && !mConfig.clusterRejectionHistograms && !mConfig.inputHistogramsOnly) {
2896 DoClusterCounts(attachClusterCounts);
2897 }
2898 if ((qcout || tout) && (mQATasks & taskClusterCounts) && mConfig.clusterRejectionHistograms) {
2899 for (uint32_t i = 0; i < mHistClusterCount.size(); i++) {
2900 if (tout) {
2901 mHistClusterCount[i]->Write();
2902 }
2903 if (qcout) {
2904 qcout->Add(mHistClusterCount[i]);
2905 }
2906 }
2907 }
2908
2909 if (mQATasks & taskTrackStatistics) {
2910 // Process track statistic histograms
2911 float tmpMax = 0.;
2912 for (int32_t k = 0; k < ConfigNumInputs; k++) { // TODO: Simplify this drawing, avoid copy&paste
2913 TH1F* e = mTracks;
2914 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2915 continue;
2916 }
2917 e->SetMaximum(-1111);
2918 if (e->GetMaximum() > tmpMax) {
2919 tmpMax = e->GetMaximum();
2920 }
2921 }
2922 mPTracks->cd();
2923 mPTracks->SetLogx();
2924 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2925 TH1F* e = mTracks;
2926 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2927 continue;
2928 }
2929 if (tout && !mConfig.inputHistogramsOnly && k == 0) {
2930 e->Write();
2931 }
2932 e->SetMaximum(tmpMax * 1.02);
2933 e->SetMinimum(tmpMax * -0.02);
2934 e->SetStats(kFALSE);
2935 e->SetLineWidth(1);
2936 e->SetTitle("Number of Tracks vs #it{p}_{T}");
2937 e->GetYaxis()->SetTitle("Number of Tracks");
2938 e->GetXaxis()->SetTitle("#it{p}_{T} (GeV/#it{c})");
2939 if (qcout) {
2940 qcout->Add(e);
2941 }
2942 e->SetMarkerColor(kBlack);
2943 e->SetLineColor(colorNums[k % COLORCOUNT]);
2944 e->Draw(k == 0 ? "" : "same");
2945 GetName(fname, k, mConfig.inputHistogramsOnly);
2946 mLTracks->AddEntry(e, Form(mConfig.inputHistogramsOnly ? "%s" : "%sTrack #it{p}_{T}", fname), "l");
2947 }
2948 mLTracks->Draw();
2949 doPerfFigure(0.63, 0.7, 0.030);
2950 mCTracks->cd();
2951 mCTracks->Print(Form("%s/tracks.pdf", mConfig.plotsDir.c_str()));
2952 if (mConfig.writeFileExt != "") {
2953 mCTracks->Print(Form("%s/tracks.%s", mConfig.plotsDir.c_str(), mConfig.writeFileExt.c_str()));
2954 }
2955
2956 for (int32_t i = 0; i < 2; i++) {
2957 tmpMax = 0.;
2958 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2959 TH1F* e = mT0[i];
2960 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2961 continue;
2962 }
2963 e->SetMaximum(-1111);
2964 if (e->GetMaximum() > tmpMax) {
2965 tmpMax = e->GetMaximum();
2966 }
2967 }
2968 mPT0[i]->cd();
2969 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2970 TH1F* e = mT0[i];
2971 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2972 continue;
2973 }
2974 if (tout && !mConfig.inputHistogramsOnly && k == 0) {
2975 e->Write();
2976 }
2977 e->SetMaximum(tmpMax * 1.02);
2978 e->SetMinimum(tmpMax * -0.02);
2979 e->SetStats(kFALSE);
2980 e->SetLineWidth(1);
2981 e->SetTitle(i ? "Track t_{0} resolution" : "Track t_{0} distribution");
2982 e->GetYaxis()->SetTitle("a.u.");
2983 e->GetXaxis()->SetTitle(i ? "t_{0} - t_{0, mc}" : "t_{0}");
2984 if (qcout) {
2985 qcout->Add(e);
2986 }
2987 e->SetMarkerColor(kBlack);
2988 e->SetLineColor(colorNums[k % COLORCOUNT]);
2989 e->Draw(k == 0 ? "" : "same");
2990 GetName(fname, k, mConfig.inputHistogramsOnly);
2991 mLT0[i]->AddEntry(e, Form(mConfig.inputHistogramsOnly ? "%s (%s)" : "%sTrack t_{0} %s", fname, i ? "" : "resolution"), "l");
2992 }
2993 mLT0[i]->Draw();
2994 doPerfFigure(0.63, 0.7, 0.030);
2995 mCT0[i]->cd();
2996 mCT0[i]->Print(Form("%s/t0%s.pdf", mConfig.plotsDir.c_str(), i ? "_res" : ""));
2997 if (mConfig.writeFileExt != "") {
2998 mCT0[i]->Print(Form("%s/t0%s.%s", mConfig.plotsDir.c_str(), i ? "_res" : "", mConfig.writeFileExt.c_str()));
2999 }
3000
3001 tmpMax = 0.;
3002 for (int32_t k = 0; k < ConfigNumInputs; k++) {
3003 TH1F* e = mNCl[i];
3004 if (GetHist(e, tin, k, nNewInput) == nullptr) {
3005 continue;
3006 }
3007 e->SetMaximum(-1111);
3008 if (e->GetMaximum() > tmpMax) {
3009 tmpMax = e->GetMaximum();
3010 }
3011 }
3012 mPNCl[i]->cd();
3013 for (int32_t k = 0; k < ConfigNumInputs; k++) {
3014 TH1F* e = mNCl[i];
3015 if (GetHist(e, tin, k, nNewInput) == nullptr) {
3016 continue;
3017 }
3018 if (tout && !mConfig.inputHistogramsOnly && k == 0) {
3019 e->Write();
3020 }
3021 e->SetMaximum(tmpMax * 1.02);
3022 e->SetMinimum(tmpMax * -0.02);
3023 e->SetStats(kFALSE);
3024 e->SetLineWidth(1);
3025 e->SetTitle(i ? "Number of Rows with attached Cluster" : "Number of Clusters");
3026 e->GetYaxis()->SetTitle("a.u.");
3027 e->GetXaxis()->SetTitle(i ? "N_{Rows with Clusters}" : "N_{Clusters}");
3028 if (qcout) {
3029 qcout->Add(e);
3030 }
3031 e->SetMarkerColor(kBlack);
3032 e->SetLineColor(colorNums[k % COLORCOUNT]);
3033 e->Draw(k == 0 ? "" : "same");
3034 GetName(fname, k, mConfig.inputHistogramsOnly);
3035 mLNCl[i]->AddEntry(e, Form(mConfig.inputHistogramsOnly ? "%s" : (i ? "%sN_{Clusters}" : "%sN_{Rows with Clusters}"), fname), "l");
3036 }
3037 mLNCl[i]->Draw();
3038 doPerfFigure(0.6, 0.7, 0.030);
3039 mCNCl[i]->cd();
3040 mCNCl[i]->Print(Form("%s/nClusters%s.pdf", mConfig.plotsDir.c_str(), i ? "_corrected" : ""));
3041 if (mConfig.writeFileExt != "") {
3042 mCNCl[i]->Print(Form("%s/nClusters%s.%s", mConfig.plotsDir.c_str(), i ? "_corrected" : "", mConfig.writeFileExt.c_str()));
3043 }
3044 }
3045
3046 mPClXY->cd(); // TODO: This should become a separate task category
3047 mClXY->SetOption("colz");
3048 mClXY->Draw();
3049 mCClXY->cd();
3050 mCClXY->Print(Form("%s/clustersXY.pdf", mConfig.plotsDir.c_str()));
3051 if (mConfig.writeFileExt != "") {
3052 mCClXY->Print(Form("%s/clustersXY.%s", mConfig.plotsDir.c_str(), mConfig.writeFileExt.c_str()));
3053 }
3054 }
3055
3056 if (mQATasks & taskClusterRejection) {
3057 mClRej[2]->Divide(mClRej[1], mClRej[0]);
3058
3059 for (int32_t i = 0; i < 3; i++) {
3060 if (tout && !mConfig.inputHistogramsOnly) {
3061 mClRej[i]->Write();
3062 }
3063 mPClRej[i]->cd();
3064 mClRej[i]->SetTitle(REJECTED_NAMES[i]);
3065 mClRej[i]->SetOption("colz");
3066 mClRej[i]->Draw();
3067 mCClRej[i]->cd();
3068 mCClRej[i]->Print(Form("%s/clustersRej%d%s.pdf", mConfig.plotsDir.c_str(), i, REJECTED_NAMES[i]));
3069 if (mConfig.writeFileExt != "") {
3070 mCClRej[i]->Print(Form("%s/clustersRej%d%s.%s", mConfig.plotsDir.c_str(), i, REJECTED_NAMES[i], mConfig.writeFileExt.c_str()));
3071 }
3072 }
3073
3074 mPClRejP->cd();
3075 for (int32_t k = 0; k < ConfigNumInputs; k++) {
3076 auto* tmp = mClRej[0];
3077 if (GetHist(tmp, tin, k, nNewInput) == nullptr) {
3078 continue;
3079 }
3080 TH1D* proj1 = tmp->ProjectionY(Form("clrejptmp1%d", k)); // TODO: Clean up names
3081 proj1->SetDirectory(nullptr);
3082 tmp = mClRej[1];
3083 if (GetHist(tmp, tin, k, nNewInput) == nullptr) {
3084 continue;
3085 }
3086 TH1D* proj2 = tmp->ProjectionY(Form("clrejptmp2%d", k));
3087 proj2->SetDirectory(nullptr);
3088
3089 auto* e = mClRejP;
3090 if (GetHist(e, tin, k, nNewInput) == nullptr) {
3091 continue;
3092 }
3093 e->Divide(proj2, proj1);
3094 if (tout && !mConfig.inputHistogramsOnly && k == 0) {
3095 e->Write();
3096 }
3097 delete proj1;
3098 delete proj2;
3099 e->SetMinimum(-0.02);
3100 e->SetMaximum(0.22);
3101 e->SetTitle("Rejected Clusters");
3102 e->GetXaxis()->SetTitle("Pad Row");
3103 e->GetYaxis()->SetTitle("Rejected Clusters (fraction)");
3104 e->Draw(k == 0 ? "" : "same");
3105 }
3106 mPClRejP->Print(Form("%s/clustersRejProjected.pdf", mConfig.plotsDir.c_str()));
3107 if (mConfig.writeFileExt != "") {
3108 mPClRejP->Print(Form("%s/clustersRejProjected.%s", mConfig.plotsDir.c_str(), mConfig.writeFileExt.c_str()));
3109 }
3110 }
3111
3112 if (tout && !mConfig.inputHistogramsOnly && mConfig.writeMCLabels) {
3113 gInterpreter->GenerateDictionary("vector<vector<int32_t>>", "");
3114 tout->WriteObject(&mcEffBuffer, "mcEffBuffer");
3115 tout->WriteObject(&mcLabelBuffer, "mcLabelBuffer");
3116 remove("AutoDict_vector_vector_int__.cxx");
3117 remove("AutoDict_vector_vector_int___cxx_ACLiC_dict_rdict.pcm");
3118 remove("AutoDict_vector_vector_int___cxx.d");
3119 remove("AutoDict_vector_vector_int___cxx.so");
3120 }
3121
3122 if (tout) {
3123 tout->Close();
3124 }
3125 for (uint32_t i = 0; i < mConfig.compareInputs.size(); i++) {
3126 tin[i]->Close();
3127 }
3128 if (!qcout) {
3129 clearGarbagageCollector();
3130 }
3131 GPUInfo("GPU TPC QA histograms have been written to pdf%s%s files", mConfig.writeFileExt == "" ? "" : " and ", mConfig.writeFileExt.c_str());
3132 gErrorIgnoreLevel = oldRootIgnoreLevel;
3133 return (0);
3134}
3135
3136void GPUQA::PrintClusterCount(int32_t mode, int32_t& num, const char* name, uint64_t n, uint64_t normalization)
3137{
3138 if (mode == 2) {
3139 // do nothing, just count num
3140 } else if (mode == 1) {
3141 char name2[128];
3142 snprintf(name2, 128, "clusterCount%d_", num);
3143 char* ptr = name2 + strlen(name2);
3144 for (uint32_t i = 0; i < strlen(name); i++) {
3145 if ((name[i] >= 'a' && name[i] <= 'z') || (name[i] >= 'A' && name[i] <= 'Z') || (name[i] >= '0' && name[i] <= '9')) {
3146 *(ptr++) = name[i];
3147 }
3148 }
3149 *ptr = 0;
3150 createHist(mHistClusterCount[num], name2, name, 1000, 0, mConfig.histMaxNClusters, 1000, 0, 100);
3151 } else if (mode == 0) {
3152 if (normalization && mConfig.enableLocalOutput) {
3153 for (uint32_t i = 0; i < 1 + (mTextDump != nullptr); i++) {
3154 fprintf(i ? mTextDump : stdout, "\t%40s: %'12" PRIu64 " (%6.2f%%)\n", name, n, 100.f * n / normalization);
3155 }
3156 }
3157 if (mConfig.clusterRejectionHistograms) {
3158 float ratio = 100.f * n / std::max<uint64_t>(normalization, 1);
3159 mHistClusterCount[num]->Fill(normalization, ratio, 1);
3160 }
3161 }
3162 num++;
3163}
3164
3165int32_t GPUQA::DoClusterCounts(uint64_t* attachClusterCounts, int32_t mode)
3166{
3167 if (mConfig.enableLocalOutput && !mConfig.inputHistogramsOnly && mConfig.plotsDir != "") {
3168 mTextDump = fopen((mConfig.plotsDir + "/clusterCounts.txt").c_str(), "w+");
3169 }
3170 int32_t num = 0;
3171 if (mcPresent() && (mQATasks & taskClusterAttach) && attachClusterCounts) {
3172 for (int32_t i = 0; i < N_CLS_HIST; i++) { // TODO: Check that these counts are still printed correctly!
3173 PrintClusterCount(mode, num, CLUSTER_NAMES[i], attachClusterCounts[i], mClusterCounts.nTotal);
3174 }
3175 PrintClusterCount(mode, num, "Unattached", attachClusterCounts[N_CLS_HIST - 1] - attachClusterCounts[CL_att_adj], mClusterCounts.nTotal);
3176 PrintClusterCount(mode, num, "Removed (Strategy A)", attachClusterCounts[CL_att_adj] - attachClusterCounts[CL_prot], mClusterCounts.nTotal); // Attached + Adjacent (also fake) - protected
3177 PrintClusterCount(mode, num, "Unaccessible", mClusterCounts.nUnaccessible, mClusterCounts.nTotal); // No contribution from track >= 10 MeV, unattached or fake-attached/adjacent
3178 } else {
3179 PrintClusterCount(mode, num, "All Clusters", mClusterCounts.nTotal, mClusterCounts.nTotal);
3180 PrintClusterCount(mode, num, "Used in Physics", mClusterCounts.nPhysics, mClusterCounts.nTotal);
3181 PrintClusterCount(mode, num, "Protected", mClusterCounts.nProt, mClusterCounts.nTotal);
3182 PrintClusterCount(mode, num, "Unattached", mClusterCounts.nUnattached, mClusterCounts.nTotal);
3183 PrintClusterCount(mode, num, "Removed (Strategy A)", mClusterCounts.nTotal - mClusterCounts.nUnattached - mClusterCounts.nProt, mClusterCounts.nTotal);
3184 PrintClusterCount(mode, num, "Removed (Strategy B)", mClusterCounts.nTotal - mClusterCounts.nProt, mClusterCounts.nTotal);
3185 }
3186
3187 PrintClusterCount(mode, num, "Merged Loopers (Track Merging)", mClusterCounts.nMergedLooperConnected, mClusterCounts.nTotal);
3188 PrintClusterCount(mode, num, "Merged Loopers (Afterburner)", mClusterCounts.nMergedLooperUnconnected, mClusterCounts.nTotal);
3189 PrintClusterCount(mode, num, "Looping Legs (other)", mClusterCounts.nLoopers, mClusterCounts.nTotal);
3190 PrintClusterCount(mode, num, "High Inclination Angle", mClusterCounts.nHighIncl, mClusterCounts.nTotal);
3191 PrintClusterCount(mode, num, "Rejected", mClusterCounts.nRejected, mClusterCounts.nTotal);
3192 PrintClusterCount(mode, num, "Tube (> 200 MeV)", mClusterCounts.nTube, mClusterCounts.nTotal);
3193 PrintClusterCount(mode, num, "Tube (< 200 MeV)", mClusterCounts.nTube200, mClusterCounts.nTotal);
3194 PrintClusterCount(mode, num, "Low Pt < 50 MeV", mClusterCounts.nLowPt, mClusterCounts.nTotal);
3195 PrintClusterCount(mode, num, "Low Pt < 200 MeV", mClusterCounts.n200MeV, mClusterCounts.nTotal);
3196
3197 if (mcPresent() && (mQATasks & taskClusterAttach)) {
3198 PrintClusterCount(mode, num, "Tracks > 400 MeV", mClusterCounts.nAbove400, mClusterCounts.nTotal);
3199 PrintClusterCount(mode, num, "Fake Removed (> 400 MeV)", mClusterCounts.nFakeRemove400, mClusterCounts.nAbove400);
3200 PrintClusterCount(mode, num, "Full Fake Removed (> 400 MeV)", mClusterCounts.nFullFakeRemove400, mClusterCounts.nAbove400);
3201 PrintClusterCount(mode, num, "Tracks < 40 MeV", mClusterCounts.nBelow40, mClusterCounts.nTotal);
3202 PrintClusterCount(mode, num, "Fake Protect (< 40 MeV)", mClusterCounts.nFakeProtect40, mClusterCounts.nBelow40);
3203 }
3204 if (mcPresent() && (mQATasks & taskTrackStatistics)) {
3205 PrintClusterCount(mode, num, "Correctly Attached all-trk normalized", mClusterCounts.nCorrectlyAttachedNormalized, mClusterCounts.nTotal);
3206 PrintClusterCount(mode, num, "Correctly Attached non-fake normalized", mClusterCounts.nCorrectlyAttachedNormalizedNonFake, mClusterCounts.nTotal);
3207 }
3208 if (mTextDump) {
3209 fclose(mTextDump);
3210 mTextDump = nullptr;
3211 }
3212 return num;
3213}
3214
3215void* GPUQA::AllocateScratchBuffer(size_t nBytes)
3216{
3217 mTrackingScratchBuffer.resize((nBytes + sizeof(mTrackingScratchBuffer[0]) - 1) / sizeof(mTrackingScratchBuffer[0]));
3218 return mTrackingScratchBuffer.data();
3219}
labels
std::vector< std::string > labels
Definition AODReaderHelpers.cxx:31
ConstMCTruthContainer.h
A const (ready only) version of MCTruthContainer.
CorrectionMapsHelper.h
Helper class to access correction maps.
charge
int16_t charge
Definition RawEventData.h:5
time
int16_t time
Definition RawEventData.h:4
i
int32_t i
Definition GPUCommonAlgorithm.h:436
TPC_MAX_TIME_BIN_TRIGGERED
#define TPC_MAX_TIME_BIN_TRIGGERED
Definition GPUDefConstantsAndSettings.h:47
TRACK_EXPECTED_REFERENCE_X_DEFAULT
#define TRACK_EXPECTED_REFERENCE_X_DEFAULT
Definition GPUQA.cxx:207
TRACK_EXPECTED_REFERENCE_X
#define TRACK_EXPECTED_REFERENCE_X
Definition GPUQA.cxx:262
QA_DEBUG
#define QA_DEBUG
Definition GPUQA.cxx:15
QA_TIMING
#define QA_TIMING
Definition GPUQA.cxx:16
Color_t
int16_t Color_t
Definition GPUQA.h:33
chain
GPUChain * chain
Definition GPUReconstruction.cxx:57
GPUCA_NSECTORS
#define GPUCA_NSECTORS
Definition GPUTPCGeometry.h:22
GPUCA_ROW_COUNT
#define GPUCA_ROW_COUNT
Definition GPUTPCGeometry.h:23
MCTrack.h
Definition of the MCTrack class.
NameConf.h
Definition of the Names Generator class.
pos
uint16_t pos
Definition RawData.h:3
j
uint32_t j
Definition RawData.h:0
side
uint32_t side
Definition RawData.h:0
pid
uint16_t pid
Definition RawData.h:2
c
uint32_t c
Definition RawData.h:2
TPCFastTransform.h
Definition of TPCFastTransform class.
ptr
TBranch * ptr
Definition TableTreeHelpers.cxx:294
nClusters
int nClusters
Definition bench_Clusterizer.cxx:120
num
double num
Definition bench_Clusterizer.cxx:122
h
Class for time synchronization of RawReader instances.
o2::detectors::DetID::TPC
static constexpr ID TPC
Definition DetID.h:64
o2::gpu::GPUChain::NSECTORS
static constexpr int32_t NSECTORS
Definition GPUChain.h:58
o2::gpu::GPUQA::ReadO2MCData
int32_t ReadO2MCData(const char *filename)
Definition GPUQA.h:55
o2::gpu::GPUQA::clusterRemovable
bool clusterRemovable(int32_t attach, bool prot) const
Definition GPUQA.h:53
o2::gpu::GPUQA::~GPUQA
~GPUQA()=default
Definition GPUQA.cxx:340
o2::gpu::GPUQA::AllocateScratchBuffer
void * AllocateScratchBuffer(size_t nBytes)
Definition GPUQA.h:56
o2::gpu::GPUQA::SetMCTrackRange
void SetMCTrackRange(int32_t min, int32_t max)
Definition GPUQA.h:48
o2::gpu::GPUQA::GetMCTrackLabel
mcLabelI_t GetMCTrackLabel(uint32_t trackId) const
Definition GPUQA.h:52
o2::gpu::GPUQA::DrawQAHistograms
int32_t DrawQAHistograms()
Definition GPUQA.h:47
o2::gpu::GPUQA::InitQA
int32_t InitQA(int32_t tasks=0)
Definition GPUQA.h:45
o2::gpu::GPUQA::DumpO2MCData
void DumpO2MCData(const char *filename) const
Definition GPUQA.h:54
o2::gpu::GPUQA::mcLabelI_t
int32_t mcLabelI_t
Definition GPUQA.h:44
o2::gpu::GPUQA::RunQA
void RunQA(bool matchOnly=false)
Definition GPUQA.h:46
o2::gpu::GPUQA::GPUQA
GPUQA(void *chain)
Definition GPUQA.h:42
o2::gpu::GPUROOTDump::getNew
static GPUROOTDump< T, Args... > getNew(const char *name1, Names... names)
Definition GPUROOTDump.h:64
o2::steer::DigitizationContext::loadFromFile
static DigitizationContext * loadFromFile(std::string_view filename="")
Definition DigitizationContext.cxx:290
n
GLdouble n
Definition glcorearb.h:1982
alpha
GLfloat GLfloat GLfloat alpha
Definition glcorearb.h:279
x
GLint GLenum GLint x
Definition glcorearb.h:403
m
const GLfloat * m
Definition glcorearb.h:4066
mode
GLenum mode
Definition glcorearb.h:266
src
GLenum src
Definition glcorearb.h:1767
y1
GLuint GLfloat GLfloat GLfloat GLfloat y1
Definition glcorearb.h:5034
size
GLsizeiptr size
Definition glcorearb.h:659
end
GLuint GLuint end
Definition glcorearb.h:469
v
const GLdouble * v
Definition glcorearb.h:832
name
GLuint const GLchar * name
Definition glcorearb.h:781
f
GLdouble f
Definition glcorearb.h:310
weight
GLuint GLuint GLfloat weight
Definition glcorearb.h:5477
range
GLenum GLint * range
Definition glcorearb.h:1899
y
GLint y
Definition glcorearb.h:270
dst
GLenum GLenum dst
Definition glcorearb.h:1767
data
GLboolean * data
Definition glcorearb.h:298
label
GLuint GLsizei const GLchar * label
Definition glcorearb.h:2519
val
GLuint GLfloat * val
Definition glcorearb.h:1582
r
GLboolean r
Definition glcorearb.h:1233
param
GLenum GLfloat param
Definition glcorearb.h:271
id
GLuint id
Definition glcorearb.h:650
z
GLdouble GLdouble GLdouble z
Definition glcorearb.h:843
o2::its::math_utils::p
float p
Definition MathUtils.h:99
o2::its::math_utils::y2
float float float y2
Definition MathUtils.h:44
o2::math_utils::detail::phi
T phi
Definition trigonometric.h:221
o2::math_utils::detail::s
T & s
Definition trigonometric.h:121
o2::math_utils::detail::T
T
Definition SMatrixGPU.h:749
o2::tpc::constants::LHCBCPERTIMEBIN
constexpr int LHCBCPERTIMEBIN
Definition Constants.h:38
o2::tpc::begin
Enum< T >::Iterator begin(Enum< T >)
Definition Defs.h:173
o2::track::f3
value_T f3
Definition TrackUtils.h:93
o2::track::f1
value_T f1
Definition TrackUtils.h:91
o2::track::f2
value_T f2
Definition TrackUtils.h:92
o2::upgrades_utils::tracks
struct o2::upgrades_utils::@454 tracks
structure to keep trigger-related info
std
Defining DataPointCompositeObject explicitly as copiable.
Definition CcdbObjectInfo.h:121
std::to_string
std::string to_string(gsl::span< T, Size > span)
Definition common.h:52
filename
std::string filename()
Definition o2FairMQHeaderSizeTest.cxx:55
isValid
bool isValid(std::string alias)
Definition scan-hvlv-ccdb.cxx:74
o2::InteractionRecord::differenceInBC
int64_t differenceInBC(const InteractionRecord &other) const
Definition InteractionRecord.h:94
o2::gpu::internal::GPUQAGarbageCollection::v
std::tuple< std::vector< std::unique_ptr< TCanvas > >, std::vector< std::unique_ptr< TLegend > >, std::vector< std::unique_ptr< TPad > >, std::vector< std::unique_ptr< TLatex > >, std::vector< std::unique_ptr< TH1D > > > v
Definition GPUQA.cxx:318
o2::raw::HBFUtils::getFirstIRofTF
IR getFirstIRofTF(const IR &rec) const
get 1st IR of TF corresponding to the 1st sampled orbit (in MC)
Definition HBFUtils.h:71
o2::raw::HBFUtils::getFirstIR
IR getFirstIR() const
Definition HBFUtils.h:47
o2::tpc::ClusterNativeAccess::nClusters
unsigned int nClusters[constants::MAXSECTOR][constants::MAXGLOBALPADROW]
Definition ClusterNative.h:178
o2::tpc::ClusterNativeAccess::clusterOffset
unsigned int clusterOffset[constants::MAXSECTOR][constants::MAXGLOBALPADROW]
Definition ClusterNative.h:180
o2::tpc::ClusterNativeAccess::clustersLinear
const ClusterNative * clustersLinear
Definition ClusterNative.h:175
min
constexpr size_t min
Definition test_Algorithm.cxx:48
max
constexpr size_t max
Definition test_Algorithm.cxx:49
ir
o2::InteractionRecord ir(0, 0)
clear
vec clear()
ir0
o2::InteractionRecord ir0(3, 5)