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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 "GPUTPCClusterData.h"
49#include "GPUO2DataTypes.h"
50#include "GPUParam.inc"
51#include "GPUTPCClusterRejection.h"
52#include "GPUTPCConvertImpl.h"
53#include "TPCFastTransform.h"
54#include "CorrectionMapsHelper.h"
55#include "GPUROOTDump.h"
56#include "SimulationDataFormat/ConstMCTruthContainer.h"
57#include "SimulationDataFormat/MCCompLabel.h"
58#ifdef GPUCA_O2_LIB
59#include "DetectorsRaw/HBFUtils.h"
60#include "DataFormatsTPC/TrackTPC.h"
61#include "DataFormatsTPC/Constants.h"
62#include "SimulationDataFormat/MCTrack.h"
63#include "SimulationDataFormat/TrackReference.h"
64#include "SimulationDataFormat/DigitizationContext.h"
65#include "DetectorsCommonDataFormats/DetID.h"
66#include "CommonUtils/NameConf.h"
67#include "Steer/MCKinematicsReader.h"
68#include "TPDGCode.h"
69#include "TParticlePDG.h"
70#include "TDatabasePDG.h"
71#endif
72#include "GPUQAHelper.h"
73#include <algorithm>
74#include <cstdio>
75#include <cinttypes>
76
77#include "utils/qconfig.h"
78#include "utils/timer.h"
79
80#include <oneapi/tbb.h>
81
82using namespace o2::gpu;
83
84#ifdef GPUCA_MERGER_BY_MC_LABEL
85#define CHECK_CLUSTER_STATE_INIT_LEG_BY_MC() \
86 if (!unattached && mTrackMCLabels[id].isValid()) { \
87 int32_t mcLabel = mTrackMCLabels[id].getTrackID(); \
88 int32_t mcEvent = mTrackMCLabels[id].getEventID(); \
89 int32_t mcSource = mTrackMCLabels[id].getSourceID(); \
90 if (mTrackMCLabelsReverse[mMCEventOffset[mcSource] + mcEvent][mcLabel] != id) { \
91 attach &= (~gputpcgmmergertypes::attachGoodLeg); \
92 } \
93 }
94#else
95#define CHECK_CLUSTER_STATE_INIT_LEG_BY_MC()
96#endif
97
98#define CHECK_CLUSTER_STATE_INIT() \
99 bool unattached = attach == 0; \
100 float qpt = 0; \
101 bool lowPt = false; \
102 bool mev200 = false; \
103 bool mergedLooper = false; \
104 int32_t id = attach & gputpcgmmergertypes::attachTrackMask; \
105 if (!unattached) { \
106 qpt = fabsf(mTracking->mIOPtrs.mergedTracks[id].GetParam().GetQPt()); \
107 lowPt = qpt * mTracking->GetParam().qptB5Scaler > mTracking->GetParam().rec.tpc.rejectQPtB5; \
108 mev200 = qpt > 5; \
109 mergedLooper = mTracking->mIOPtrs.mergedTracks[id].MergedLooper(); \
110 } \
111 bool physics = false, protect = false; \
112 CHECK_CLUSTER_STATE_INIT_LEG_BY_MC();
113
114#define CHECK_CLUSTER_STATE() \
115 CHECK_CLUSTER_STATE_INIT() \
116 if (mev200) { \
117 mClusterCounts.n200MeV++; \
118 } \
119 if (lowPt) { \
120 mClusterCounts.nLowPt++; \
121 } else if (mergedLooper) { \
122 mClusterCounts.nMergedLooper++; \
123 } else { \
124 GPUTPCClusterRejection::GetProtectionStatus<true>(attach, physics, protect, &mClusterCounts, &mev200); \
125 }
126
127#define CHECK_CLUSTER_STATE_NOCOUNT() \
128 CHECK_CLUSTER_STATE_INIT() \
129 (void)mev200; /* silence unused variable warning*/ \
130 if (!lowPt && !mergedLooper) { \
131 GPUTPCClusterRejection::GetProtectionStatus<false>(attach, physics, protect); \
132 }
133
134static const GPUSettingsQA& GPUQA_GetConfig(GPUChainTracking* chain)
135{
136 static GPUSettingsQA defaultConfig;
137 if (chain && chain->mConfigQA) {
138 return *chain->mConfigQA;
139 } else {
140 return defaultConfig;
141 }
142}
143
144// static const constexpr bool PLOT_ROOT = 0;
145// static const constexpr bool FIX_SCALES = 0;
146static const constexpr bool PERF_FIGURE = 0;
147// static const constexpr float FIXED_SCALES_MIN[5] = {-0.05, -0.05, -0.2, -0.2, -0.5};
148// static const constexpr float FIXED_SCALES_MAX[5] = {0.4, 0.7, 5, 3, 6.5};
149static const constexpr float LOG_PT_MIN = -1.;
150
151static constexpr float Y_MAX = 40;
152static constexpr float Z_MAX = 100;
153static constexpr float PT_MIN = GPUCA_MIN_TRACK_PTB5_DEFAULT;
154// static constexpr float PT_MIN2 = 0.1;
155static constexpr float PT_MIN_PRIM = 0.1;
156static constexpr float PT_MIN_CLUST = GPUCA_MIN_TRACK_PTB5_DEFAULT;
157static constexpr float PT_MAX = 20;
158static constexpr float ETA_MAX = 1.5;
159static constexpr float ETA_MAX2 = 0.9;
160
161static constexpr float MIN_WEIGHT_CLS = 40;
162static constexpr float FINDABLE_WEIGHT_CLS = 70;
163
164static constexpr bool CLUST_HIST_INT_SUM = false;
165
166static constexpr const int32_t COLORCOUNT = 12;
167
168static const constexpr char* EFF_TYPES[4] = {"Rec", "Clone", "Fake", "All"};
169static const constexpr char* FINDABLE_NAMES[2] = {"", "Findable"};
170static const constexpr char* PRIM_NAMES[2] = {"Prim", "Sec"};
171static const constexpr char* PARAMETER_NAMES[5] = {"Y", "Z", "#Phi", "#lambda", "Relative #it{p}_{T}"};
172static const constexpr char* PARAMETER_NAMES_NATIVE[5] = {"Y", "Z", "sin(#Phi)", "tan(#lambda)", "q/#it{p}_{T} (curvature)"};
173static const constexpr char* VSPARAMETER_NAMES[6] = {"Y", "Z", "Phi", "Eta", "Pt", "Pt_log"};
174static const constexpr char* EFF_NAMES[3] = {"Efficiency", "Clone Rate", "Fake Rate"};
175static const constexpr char* EFFICIENCY_TITLES[4] = {"Efficiency (Primary Tracks, Findable)", "Efficiency (Secondary Tracks, Findable)", "Efficiency (Primary Tracks)", "Efficiency (Secondary Tracks)"};
176static const constexpr double SCALE[5] = {10., 10., 1000., 1000., 100.};
177static const constexpr double SCALE_NATIVE[5] = {10., 10., 1000., 1000., 1.};
178static 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})"};
179static 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)"};
180static 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)"};
181static 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)",
182 "q*(q/#it{p}_{T} - q/#it{p}_{Tmc})/#sigma_{q/#it{p}_{T}} (Pull)"};
183static 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"};
184static 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)"};
185static const constexpr char* CLUSTER_NAMES_SHORT[GPUQA::N_CLS_HIST] = {"Attached", "Fake", "AttachAdjacent", "FakeAdjacent", "FoundTracks", "Physics", "Protected", "All"};
186static const constexpr char* CLUSTER_TYPES[GPUQA::N_CLS_TYPE] = {"", "Ratio", "Integral"};
187static const constexpr int32_t COLORS_HEX[COLORCOUNT] = {0xB03030, 0x00A000, 0x0000C0, 0x9400D3, 0x19BBBF, 0xF25900, 0x7F7F7F, 0xFFD700, 0x07F707, 0x07F7F7, 0xF08080, 0x000000};
188
189static const constexpr int32_t CONFIG_DASHED_MARKERS = 0;
190
191static const constexpr float AXES_MIN[5] = {-Y_MAX, -Z_MAX, 0.f, -ETA_MAX, PT_MIN};
192static const constexpr float AXES_MAX[5] = {Y_MAX, Z_MAX, 2.f * M_PI, ETA_MAX, PT_MAX};
193static const constexpr int32_t AXIS_BINS[5] = {51, 51, 144, 31, 50};
194static 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.
195static const constexpr float RES_AXES[5] = {1., 1., 0.03, 0.03, 1.0};
196static const constexpr float RES_AXES_NATIVE[5] = {1., 1., 0.1, 0.1, 5.0};
197static const constexpr float PULL_AXIS = 10.f;
198
199std::vector<TColor*> GPUQA::mColors;
200int32_t GPUQA::initColors()
201{
202 mColors.reserve(COLORCOUNT);
203 for (int32_t i = 0; i < COLORCOUNT; i++) {
204 float f1 = (float)((COLORS_HEX[i] >> 16) & 0xFF) / (float)0xFF;
205 float f2 = (float)((COLORS_HEX[i] >> 8) & 0xFF) / (float)0xFF;
206 float f3 = (float)((COLORS_HEX[i] >> 0) & 0xFF) / (float)0xFF;
207 mColors.emplace_back(new TColor(10000 + i, f1, f2, f3));
208 }
209 return 0;
210}
211static constexpr Color_t defaultColorNums[COLORCOUNT] = {kRed, kBlue, kGreen, kMagenta, kOrange, kAzure, kBlack, kYellow, kGray, kTeal, kSpring, kPink};
212
213#define TRACK_EXPECTED_REFERENCE_X_DEFAULT 81
214#ifdef GPUCA_TPC_GEOMETRY_O2
215static inline int32_t GPUQA_O2_ConvertFakeLabel(int32_t label) { return label >= 0x7FFFFFFE ? -1 : label; }
216inline uint32_t GPUQA::GetNMCCollissions() const { return mMCInfosCol.size(); }
217inline uint32_t GPUQA::GetNMCTracks(int32_t iCol) const { return mMCInfosCol[iCol].num; }
218inline uint32_t GPUQA::GetNMCTracks(const mcLabelI_t& label) const { return mMCInfosCol[mMCEventOffset[label.getSourceID()] + label.getEventID()].num; }
219inline uint32_t GPUQA::GetNMCLabels() const { return mClNative->clustersMCTruth ? mClNative->clustersMCTruth->getIndexedSize() : 0; }
220inline const GPUQA::mcInfo_t& GPUQA::GetMCTrack(uint32_t iTrk, uint32_t iCol) { return mMCInfos[mMCInfosCol[iCol].first + iTrk]; }
221inline const GPUQA::mcInfo_t& GPUQA::GetMCTrack(const mcLabel_t& label) { return mMCInfos[mMCInfosCol[mMCEventOffset[label.getSourceID()] + label.getEventID()].first + label.getTrackID()]; }
222inline GPUQA::mcLabels_t GPUQA::GetMCLabel(uint32_t i) { return mClNative->clustersMCTruth->getLabels(i); }
223inline int32_t GPUQA::GetMCLabelNID(const mcLabels_t& label) { return label.size(); }
224inline int32_t GPUQA::GetMCLabelNID(uint32_t i) { return mClNative->clustersMCTruth->getLabels(i).size(); }
225inline GPUQA::mcLabel_t GPUQA::GetMCLabel(uint32_t i, uint32_t j) { return mClNative->clustersMCTruth->getLabels(i)[j]; }
226inline int32_t GPUQA::GetMCLabelID(uint32_t i, uint32_t j) { return GPUQA_O2_ConvertFakeLabel(mClNative->clustersMCTruth->getLabels(i)[j].getTrackID()); }
227inline int32_t GPUQA::GetMCLabelID(const mcLabels_t& label, uint32_t j) { return GPUQA_O2_ConvertFakeLabel(label[j].getTrackID()); }
228inline int32_t GPUQA::GetMCLabelID(const mcLabel_t& label) { return GPUQA_O2_ConvertFakeLabel(label.getTrackID()); }
229inline uint32_t GPUQA::GetMCLabelCol(uint32_t i, uint32_t j) { return mMCEventOffset[mClNative->clustersMCTruth->getLabels(i)[j].getSourceID()] + mClNative->clustersMCTruth->getLabels(i)[j].getEventID(); }
230inline const auto& GPUQA::GetClusterLabels() { return mClNative->clustersMCTruth; }
231inline float GPUQA::GetMCLabelWeight(uint32_t i, uint32_t j) { return 1; }
232inline float GPUQA::GetMCLabelWeight(const mcLabels_t& label, uint32_t j) { return 1; }
233inline float GPUQA::GetMCLabelWeight(const mcLabel_t& label) { return 1; }
234inline bool GPUQA::mcPresent() { return !mConfig.noMC && mTracking && mClNative && mClNative->clustersMCTruth && mMCInfos.size(); }
235uint32_t GPUQA::GetMCLabelCol(const mcLabel_t& label) const { return !label.isValid() ? 0 : (mMCEventOffset[label.getSourceID()] + label.getEventID()); }
236GPUQA::mcLabelI_t GPUQA::GetMCTrackLabel(uint32_t trackId) const { return trackId >= mTrackMCLabels.size() ? MCCompLabel() : mTrackMCLabels[trackId]; }
237#define TRACK_EXPECTED_REFERENCE_X 78
238#else
239inline GPUQA::mcLabelI_t::mcLabelI_t(const GPUQA::mcLabel_t& l) : track(l.fMCID) {}
240inline bool GPUQA::mcLabelI_t::operator==(const GPUQA::mcLabel_t& l) { return AbsLabelID(track) == l.fMCID; }
241inline uint32_t GPUQA::GetNMCCollissions() const { return 1; }
242inline uint32_t GPUQA::GetNMCTracks(int32_t iCol) const { return mTracking->mIOPtrs.nMCInfosTPC; }
243inline uint32_t GPUQA::GetNMCTracks(const mcLabelI_t& label) const { return mTracking->mIOPtrs.nMCInfosTPC; }
244inline uint32_t GPUQA::GetNMCLabels() const { return mTracking->mIOPtrs.nMCLabelsTPC; }
245inline const GPUQA::mcInfo_t& GPUQA::GetMCTrack(uint32_t iTrk, uint32_t iCol) { return mTracking->mIOPtrs.mcInfosTPC[AbsLabelID(iTrk)]; }
246inline const GPUQA::mcInfo_t& GPUQA::GetMCTrack(const mcLabel_t& label) { return GetMCTrack(label.fMCID, 0); }
247inline const GPUQA::mcInfo_t& GPUQA::GetMCTrack(const mcLabelI_t& label) { return GetMCTrack(label.track, 0); }
248inline const GPUQA::mcLabels_t& GPUQA::GetMCLabel(uint32_t i) { return mTracking->mIOPtrs.mcLabelsTPC[i]; }
249inline const GPUQA::mcLabel_t& GPUQA::GetMCLabel(uint32_t i, uint32_t j) { return mTracking->mIOPtrs.mcLabelsTPC[i].fClusterID[j]; }
250inline int32_t GPUQA::GetMCLabelNID(const mcLabels_t& label) { return 3; }
251inline int32_t GPUQA::GetMCLabelNID(uint32_t i) { return 3; }
252inline int32_t GPUQA::GetMCLabelID(uint32_t i, uint32_t j) { return mTracking->mIOPtrs.mcLabelsTPC[i].fClusterID[j].fMCID; }
253inline int32_t GPUQA::GetMCLabelID(const mcLabels_t& label, uint32_t j) { return label.fClusterID[j].fMCID; }
254inline int32_t GPUQA::GetMCLabelID(const mcLabel_t& label) { return label.fMCID; }
255inline uint32_t GPUQA::GetMCLabelCol(uint32_t i, uint32_t j) { return 0; }
256
257inline const auto& GPUQA::GetClusterLabels() { return mTracking->mIOPtrs.mcLabelsTPC; }
258inline float GPUQA::GetMCLabelWeight(uint32_t i, uint32_t j) { return mTracking->mIOPtrs.mcLabelsTPC[i].fClusterID[j].fWeight; }
259inline float GPUQA::GetMCLabelWeight(const mcLabels_t& label, uint32_t j) { return label.fClusterID[j].fWeight; }
260inline float GPUQA::GetMCLabelWeight(const mcLabel_t& label) { return label.fWeight; }
261inline int32_t GPUQA::FakeLabelID(int32_t id) { return id < 0 ? id : (-2 - id); }
262inline int32_t GPUQA::AbsLabelID(int32_t id) { return id >= 0 ? id : (-id - 2); }
263inline bool GPUQA::mcPresent() { return !mConfig.noMC && mTracking && GetNMCLabels() && GetNMCTracks(0); }
264uint32_t GPUQA::GetMCLabelCol(const mcLabel_t& label) const { return 0; }
265GPUQA::mcLabelI_t GPUQA::GetMCTrackLabel(uint32_t trackId) const { return trackId >= mTrackMCLabels.size() ? mcLabelI_t() : mTrackMCLabels[trackId]; }
266#define TRACK_EXPECTED_REFERENCE_X TRACK_EXPECTED_REFERENCE_X_DEFAULT
267#endif
268template <class T>
269inline auto& GPUQA::GetMCTrackObj(T& obj, const GPUQA::mcLabelI_t& l)
270{
271 return obj[mMCEventOffset[l.getSourceID()] + l.getEventID()][l.getTrackID()];
272}
273
274template <>
275auto GPUQA::getHistArray<TH1F>()
276{
277 return std::make_pair(mHist1D, &mHist1D_pos);
278}
279template <>
280auto GPUQA::getHistArray<TH2F>()
281{
282 return std::make_pair(mHist2D, &mHist2D_pos);
283}
284template <>
285auto GPUQA::getHistArray<TH1D>()
286{
287 return std::make_pair(mHist1Dd, &mHist1Dd_pos);
288}
289template <>
290auto GPUQA::getHistArray<TGraphAsymmErrors>()
291{
292 return std::make_pair(mHistGraph, &mHistGraph_pos);
293}
294template <class T, typename... Args>
295void GPUQA::createHist(T*& h, const char* name, Args... args)
296{
297 const auto& p = getHistArray<T>();
298 if (mHaveExternalHists) {
299 if (p.first->size() <= p.second->size()) {
300 GPUError("Array sizes mismatch: Histograms %lu <= Positions %lu", p.first->size(), p.second->size());
301 throw std::runtime_error("Incoming histogram array incomplete");
302 }
303 if (strcmp((*p.first)[p.second->size()].GetName(), name)) {
304 GPUError("Histogram name mismatch: in array %s, trying to create %s", (*p.first)[p.second->size()].GetName(), name);
305 throw std::runtime_error("Incoming histogram has incorrect name");
306 }
307 } else {
308 if constexpr (std::is_same_v<T, TGraphAsymmErrors>) {
309 p.first->emplace_back();
310 p.first->back().SetName(name);
311 } else {
312 p.first->emplace_back(name, args...);
313 }
314 }
315 h = &((*p.first)[p.second->size()]);
316 p.second->emplace_back(&h);
317}
318
319namespace o2::gpu::internal
320{
321struct GPUQAGarbageCollection {
322 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;
323};
324} // namespace o2::gpu::internal
325
326template <class T, typename... Args>
327T* GPUQA::createGarbageCollected(Args... args)
328{
329 auto& v = std::get<std::vector<std::unique_ptr<T>>>(mGarbageCollector->v);
330 v.emplace_back(std::make_unique<T>(args...));
331 return v.back().get();
332}
333void GPUQA::clearGarbagageCollector()
334{
335 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)
336 std::apply([](auto&&... args) { ((args.clear()), ...); }, mGarbageCollector->v);
337}
338
339GPUQA::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>())
340{
341 mMCEventOffset.resize(1, 0);
342}
343
344GPUQA::~GPUQA()
345{
346 if (mQAInitialized && !mHaveExternalHists) {
347 delete mHist1D;
348 delete mHist2D;
349 delete mHist1Dd;
350 delete mHistGraph;
351 }
352 clearGarbagageCollector(); // Needed to guarantee correct order for ROOT ownership
353}
354
355bool GPUQA::clusterRemovable(int32_t attach, bool prot) const
356{
357 CHECK_CLUSTER_STATE_NOCOUNT();
358 if (prot) {
359 return protect || physics;
360 }
361 return (!unattached && !physics && !protect);
362}
363
364template <class T>
365void GPUQA::SetAxisSize(T* e)
366{
367 e->GetYaxis()->SetTitleOffset(1.0);
368 e->GetYaxis()->SetTitleSize(0.045);
369 e->GetYaxis()->SetLabelSize(0.045);
370 e->GetXaxis()->SetTitleOffset(1.03);
371 e->GetXaxis()->SetTitleSize(0.045);
372 e->GetXaxis()->SetLabelOffset(-0.005);
373 e->GetXaxis()->SetLabelSize(0.045);
374}
375
376void GPUQA::SetLegend(TLegend* l)
377{
378 l->SetTextFont(72);
379 l->SetTextSize(0.016);
380 l->SetFillColor(0);
381}
382
383double* GPUQA::CreateLogAxis(int32_t nbins, float xmin, float xmax)
384{
385 float logxmin = std::log10(xmin);
386 float logxmax = std::log10(xmax);
387 float binwidth = (logxmax - logxmin) / nbins;
388
389 double* xbins = new double[nbins + 1];
390
391 xbins[0] = xmin;
392 for (int32_t i = 1; i <= nbins; i++) {
393 xbins[i] = std::pow(10, logxmin + i * binwidth);
394 }
395 return xbins;
396}
397
398void GPUQA::ChangePadTitleSize(TPad* p, float size)
399{
400 p->Update();
401 TPaveText* pt = (TPaveText*)(p->GetPrimitive("title"));
402 if (pt == nullptr) {
403 GPUError("Error changing title");
404 } else {
405 pt->SetTextSize(size);
406 p->Modified();
407 }
408}
409
410void GPUQA::DrawHisto(TH1* histo, char* filename, char* options)
411{
412 TCanvas tmp;
413 tmp.cd();
414 histo->Draw(options);
415 tmp.Print(filename);
416}
417
418void GPUQA::doPerfFigure(float x, float y, float size)
419{
420 if (!PERF_FIGURE) {
421 return;
422 }
423 TLatex* t = createGarbageCollected<TLatex>();
424 t->SetNDC(kTRUE);
425 t->SetTextColor(1);
426 t->SetTextSize(size);
427 t->DrawLatex(x, y, str_perf_figure_1);
428 t->DrawLatex(x, y - 0.01 - size, str_perf_figure_2);
429}
430
431void GPUQA::SetMCTrackRange(int32_t min, int32_t max)
432{
433 mMCTrackMin = min;
434 mMCTrackMax = max;
435}
436
437int32_t GPUQA::InitQACreateHistograms()
438{
439 char name[2048], fname[1024];
440 if (mQATasks & taskTrackingEff) {
441 // Create Efficiency Histograms
442 for (int32_t i = 0; i < 4; i++) {
443 for (int32_t j = 0; j < 2; j++) {
444 for (int32_t k = 0; k < 2; k++) {
445 for (int32_t l = 0; l < 5; l++) {
446 snprintf(name, 2048, "%s%s%s%sVs%s", "tracks", EFF_TYPES[i], FINDABLE_NAMES[j], PRIM_NAMES[k], VSPARAMETER_NAMES[l]);
447 if (l == 4) {
448 std::unique_ptr<double[]> binsPt{CreateLogAxis(AXIS_BINS[4], k == 0 ? PT_MIN_PRIM : AXES_MIN[4], AXES_MAX[4])};
449 createHist(mEff[i][j][k][l], name, name, AXIS_BINS[l], binsPt.get());
450 } else {
451 createHist(mEff[i][j][k][l], name, name, AXIS_BINS[l], AXES_MIN[l], AXES_MAX[l]);
452 }
453 if (!mHaveExternalHists) {
454 mEff[i][j][k][l]->Sumw2();
455 }
456 strcat(name, "_eff");
457 createHist(mEffResult[i][j][k][l], name);
458 }
459 }
460 }
461 }
462 }
463
464 // Create Resolution Histograms
465 if (mQATasks & taskTrackingRes) {
466 for (int32_t i = 0; i < 5; i++) {
467 for (int32_t j = 0; j < 5; j++) {
468 snprintf(name, 2048, "rms_%s_vs_%s", VSPARAMETER_NAMES[i], VSPARAMETER_NAMES[j]);
469 snprintf(fname, 1024, "mean_%s_vs_%s", VSPARAMETER_NAMES[i], VSPARAMETER_NAMES[j]);
470 if (j == 4) {
471 std::unique_ptr<double[]> binsPt{CreateLogAxis(AXIS_BINS[4], mConfig.resPrimaries == 1 ? PT_MIN_PRIM : AXES_MIN[4], AXES_MAX[4])};
472 createHist(mRes[i][j][0], name, name, AXIS_BINS[j], binsPt.get());
473 createHist(mRes[i][j][1], fname, fname, AXIS_BINS[j], binsPt.get());
474 } else {
475 createHist(mRes[i][j][0], name, name, AXIS_BINS[j], AXES_MIN[j], AXES_MAX[j]);
476 createHist(mRes[i][j][1], fname, fname, AXIS_BINS[j], AXES_MIN[j], AXES_MAX[j]);
477 }
478 snprintf(name, 2048, "res_%s_vs_%s", VSPARAMETER_NAMES[i], VSPARAMETER_NAMES[j]);
479 const float* axis = mConfig.nativeFitResolutions ? RES_AXES_NATIVE : RES_AXES;
480 const int32_t nbins = i == 4 && mConfig.nativeFitResolutions ? (10 * RES_AXIS_BINS[0]) : RES_AXIS_BINS[0];
481 if (j == 4) {
482 std::unique_ptr<double[]> binsPt{CreateLogAxis(AXIS_BINS[4], mConfig.resPrimaries == 1 ? PT_MIN_PRIM : AXES_MIN[4], AXES_MAX[4])};
483 createHist(mRes2[i][j], name, name, nbins, -axis[i], axis[i], AXIS_BINS[j], binsPt.get());
484 } else {
485 createHist(mRes2[i][j], name, name, nbins, -axis[i], axis[i], AXIS_BINS[j], AXES_MIN[j], AXES_MAX[j]);
486 }
487 }
488 }
489 }
490
491 // Create Pull Histograms
492 if (mQATasks & taskTrackingResPull) {
493 for (int32_t i = 0; i < 5; i++) {
494 for (int32_t j = 0; j < 5; j++) {
495 snprintf(name, 2048, "pull_rms_%s_vs_%s", VSPARAMETER_NAMES[i], VSPARAMETER_NAMES[j]);
496 snprintf(fname, 1024, "pull_mean_%s_vs_%s", VSPARAMETER_NAMES[i], VSPARAMETER_NAMES[j]);
497 if (j == 4) {
498 std::unique_ptr<double[]> binsPt{CreateLogAxis(AXIS_BINS[4], AXES_MIN[4], AXES_MAX[4])};
499 createHist(mPull[i][j][0], name, name, AXIS_BINS[j], binsPt.get());
500 createHist(mPull[i][j][1], fname, fname, AXIS_BINS[j], binsPt.get());
501 } else {
502 createHist(mPull[i][j][0], name, name, AXIS_BINS[j], AXES_MIN[j], AXES_MAX[j]);
503 createHist(mPull[i][j][1], fname, fname, AXIS_BINS[j], AXES_MIN[j], AXES_MAX[j]);
504 }
505 snprintf(name, 2048, "pull_%s_vs_%s", VSPARAMETER_NAMES[i], VSPARAMETER_NAMES[j]);
506 if (j == 4) {
507 std::unique_ptr<double[]> binsPt{CreateLogAxis(AXIS_BINS[4], AXES_MIN[4], AXES_MAX[4])};
508 createHist(mPull2[i][j], name, name, RES_AXIS_BINS[0], -PULL_AXIS, PULL_AXIS, AXIS_BINS[j], binsPt.get());
509 } else {
510 createHist(mPull2[i][j], name, name, RES_AXIS_BINS[0], -PULL_AXIS, PULL_AXIS, AXIS_BINS[j], AXES_MIN[j], AXES_MAX[j]);
511 }
512 }
513 }
514 }
515
516 // Create Cluster Histograms
517 if (mQATasks & taskClusterAttach) {
518 for (int32_t i = 0; i < N_CLS_TYPE * N_CLS_HIST - 1; i++) {
519 int32_t ioffset = i >= (2 * N_CLS_HIST - 1) ? (2 * N_CLS_HIST - 1) : i >= N_CLS_HIST ? N_CLS_HIST : 0;
520 int32_t itype = i >= (2 * N_CLS_HIST - 1) ? 2 : i >= N_CLS_HIST ? 1 : 0;
521 snprintf(name, 2048, "clusters%s%s", CLUSTER_NAMES_SHORT[i - ioffset], CLUSTER_TYPES[itype]);
522 std::unique_ptr<double[]> binsPt{CreateLogAxis(AXIS_BINS[4], PT_MIN_CLUST, PT_MAX)};
523 createHist(mClusters[i], name, name, AXIS_BINS[4], binsPt.get());
524 }
525 }
526
527 if (mQATasks & taskTrackStatistics) {
528 // Create Tracks Histograms
529 for (int32_t i = 0; i < 2; i++) {
530 snprintf(name, 2048, i ? "nrows_with_cluster" : "nclusters");
531 createHist(mNCl[i], name, name, 160, 0, 159);
532 }
533 snprintf(name, 2048, "tracks");
534 std::unique_ptr<double[]> binsPt{CreateLogAxis(AXIS_BINS[4], PT_MIN_CLUST, PT_MAX)};
535 createHist(mTracks, name, name, AXIS_BINS[4], binsPt.get());
536 createHist(mClXY, "clXY", "clXY", 1000, -250, 250, 1000, -250, 250);
537 }
538
539 if ((mQATasks & taskClusterCounts) && mConfig.clusterRejectionHistograms) {
540 int32_t num = DoClusterCounts(nullptr, 2);
541 mHistClusterCount.resize(num);
542 DoClusterCounts(nullptr, 1);
543 }
544
545 for (uint32_t i = 0; i < mHist1D->size(); i++) {
546 *mHist1D_pos[i] = &(*mHist1D)[i];
547 }
548 for (uint32_t i = 0; i < mHist2D->size(); i++) {
549 *mHist2D_pos[i] = &(*mHist2D)[i];
550 }
551 for (uint32_t i = 0; i < mHist1Dd->size(); i++) {
552 *mHist1Dd_pos[i] = &(*mHist1Dd)[i];
553 }
554 for (uint32_t i = 0; i < mHistGraph->size(); i++) {
555 *mHistGraph_pos[i] = &(*mHistGraph)[i];
556 }
557
558 return 0;
559}
560
561int32_t GPUQA::loadHistograms(std::vector<TH1F>& i1, std::vector<TH2F>& i2, std::vector<TH1D>& i3, std::vector<TGraphAsymmErrors>& i4, int32_t tasks)
562{
563 if (tasks == -1) {
564 tasks = taskDefaultPostprocess;
565 }
566 if (mQAInitialized && (!mHaveExternalHists || tasks != mQATasks)) {
567 throw std::runtime_error("QA not initialized or initialized with different task array");
568 }
569 mHist1D = &i1;
570 mHist2D = &i2;
571 mHist1Dd = &i3;
572 mHistGraph = &i4;
573 mHist1D_pos.clear();
574 mHist2D_pos.clear();
575 mHist1Dd_pos.clear();
576 mHistGraph_pos.clear();
577 mHaveExternalHists = true;
578 if (mConfig.noMC) {
579 tasks &= tasksNoQC;
580 }
581 mQATasks = tasks;
582 if (InitQACreateHistograms()) {
583 return 1;
584 }
585 mQAInitialized = true;
586 return 0;
587}
588
589void GPUQA::DumpO2MCData(const char* filename) const
590{
591 FILE* fp = fopen(filename, "w+b");
592 if (fp == nullptr) {
593 return;
594 }
595 uint32_t n = mMCInfos.size();
596 fwrite(&n, sizeof(n), 1, fp);
597 fwrite(mMCInfos.data(), sizeof(mMCInfos[0]), n, fp);
598 n = mMCInfosCol.size();
599 fwrite(&n, sizeof(n), 1, fp);
600 fwrite(mMCInfosCol.data(), sizeof(mMCInfosCol[0]), n, fp);
601 n = mMCEventOffset.size();
602 fwrite(&n, sizeof(n), 1, fp);
603 fwrite(mMCEventOffset.data(), sizeof(mMCEventOffset[0]), n, fp);
604 fclose(fp);
605}
606
607int32_t GPUQA::ReadO2MCData(const char* filename)
608{
609 FILE* fp = fopen(filename, "rb");
610 if (fp == nullptr) {
611 return 1;
612 }
613 uint32_t n;
614 uint32_t x;
615 if ((x = fread(&n, sizeof(n), 1, fp)) != 1) {
616 fclose(fp);
617 return 1;
618 }
619 mMCInfos.resize(n);
620 if (fread(mMCInfos.data(), sizeof(mMCInfos[0]), n, fp) != n) {
621 fclose(fp);
622 return 1;
623 }
624 if ((x = fread(&n, sizeof(n), 1, fp)) != 1) {
625 fclose(fp);
626 return 1;
627 }
628 mMCInfosCol.resize(n);
629 if (fread(mMCInfosCol.data(), sizeof(mMCInfosCol[0]), n, fp) != n) {
630 fclose(fp);
631 return 1;
632 }
633 if ((x = fread(&n, sizeof(n), 1, fp)) != 1) {
634 fclose(fp);
635 return 1;
636 }
637 mMCEventOffset.resize(n);
638 if (fread(mMCEventOffset.data(), sizeof(mMCEventOffset[0]), n, fp) != n) {
639 fclose(fp);
640 return 1;
641 }
642 if (mTracking && mTracking->GetProcessingSettings().debugLevel >= 2) {
643 printf("Read %ld bytes MC Infos\n", ftell(fp));
644 }
645 fclose(fp);
646 if (mTracking) {
647 CopyO2MCtoIOPtr(&mTracking->mIOPtrs);
648 }
649 return 0;
650}
651
652void GPUQA::CopyO2MCtoIOPtr(GPUTrackingInOutPointers* ptr)
653{
654 ptr->mcInfosTPC = mMCInfos.data();
655 ptr->nMCInfosTPC = mMCInfos.size();
656 ptr->mcInfosTPCCol = mMCInfosCol.data();
657 ptr->nMCInfosTPCCol = mMCInfosCol.size();
658}
659
660void GPUQA::InitO2MCData(GPUTrackingInOutPointers* updateIOPtr)
661{
662#ifdef GPUCA_O2_LIB
663 if (!mO2MCDataLoaded) {
664 HighResTimer timer;
665 if (mTracking && mTracking->GetProcessingSettings().debugLevel) {
666 GPUInfo("Start reading O2 Track MC information");
667 timer.Start();
668 }
669 static constexpr float PRIM_MAX_T = 0.01f;
670
671 o2::steer::MCKinematicsReader mcReader("collisioncontext.root");
672 std::vector<int32_t> refId;
673
674 auto dc = o2::steer::DigitizationContext::loadFromFile("collisioncontext.root");
675 auto evrec = dc->getEventRecords();
676
677 uint32_t nSimSources = mcReader.getNSources();
678 mMCEventOffset.resize(nSimSources);
679 uint32_t nSimTotalEvents = 0;
680 uint32_t nSimTotalTracks = 0;
681 for (uint32_t i = 0; i < nSimSources; i++) {
682 mMCEventOffset[i] = nSimTotalEvents;
683 nSimTotalEvents += mcReader.getNEvents(i);
684 }
685
686 mMCInfosCol.resize(nSimTotalEvents);
687 for (int32_t iSim = 0; iSim < mcReader.getNSources(); iSim++) {
688 for (int32_t i = 0; i < mcReader.getNEvents(iSim); i++) {
689 auto ir = evrec[i];
690 auto ir0 = o2::raw::HBFUtils::Instance().getFirstIRofTF(ir);
691 float timebin = (float)ir.differenceInBC(ir0) / o2::tpc::constants::LHCBCPERTIMEBIN;
692
693 const std::vector<o2::MCTrack>& tracks = mcReader.getTracks(iSim, i);
694 const std::vector<o2::TrackReference>& trackRefs = mcReader.getTrackRefsByEvent(iSim, i);
695
696 refId.resize(tracks.size());
697 std::fill(refId.begin(), refId.end(), -1);
698 for (uint32_t j = 0; j < trackRefs.size(); j++) {
699 if (trackRefs[j].getDetectorId() == o2::detectors::DetID::TPC) {
700 int32_t trkId = trackRefs[j].getTrackID();
701 if (refId[trkId] == -1) {
702 refId[trkId] = j;
703 }
704 }
705 }
706 mMCInfosCol[mMCEventOffset[iSim] + i].first = mMCInfos.size();
707 mMCInfosCol[mMCEventOffset[iSim] + i].num = tracks.size();
708 mMCInfos.resize(mMCInfos.size() + tracks.size());
709 for (uint32_t j = 0; j < tracks.size(); j++) {
710 auto& info = mMCInfos[mMCInfosCol[mMCEventOffset[iSim] + i].first + j];
711 const auto& trk = tracks[j];
712 TParticlePDG* particle = TDatabasePDG::Instance()->GetParticle(trk.GetPdgCode());
713 Int_t pid = -1;
714 if (abs(trk.GetPdgCode()) == kElectron) {
715 pid = 0;
716 }
717 if (abs(trk.GetPdgCode()) == kMuonMinus) {
718 pid = 1;
719 }
720 if (abs(trk.GetPdgCode()) == kPiPlus) {
721 pid = 2;
722 }
723 if (abs(trk.GetPdgCode()) == kKPlus) {
724 pid = 3;
725 }
726 if (abs(trk.GetPdgCode()) == kProton) {
727 pid = 4;
728 }
729
730 info.charge = particle ? particle->Charge() : 0;
731 info.prim = trk.T() < PRIM_MAX_T;
732 info.primDaughters = 0;
733 if (trk.getFirstDaughterTrackId() != -1) {
734 for (int32_t k = trk.getFirstDaughterTrackId(); k <= trk.getLastDaughterTrackId(); k++) {
735 if (tracks[k].T() < PRIM_MAX_T) {
736 info.primDaughters = 1;
737 break;
738 }
739 }
740 }
741 info.pid = pid;
742 info.t0 = timebin;
743 if (refId[j] >= 0) {
744 const auto& trkRef = trackRefs[refId[j]];
745 info.x = trkRef.X();
746 info.y = trkRef.Y();
747 info.z = trkRef.Z();
748 info.pX = trkRef.Px();
749 info.pY = trkRef.Py();
750 info.pZ = trkRef.Pz();
751 info.genRadius = std::sqrt(trk.GetStartVertexCoordinatesX() * trk.GetStartVertexCoordinatesX() + trk.GetStartVertexCoordinatesY() * trk.GetStartVertexCoordinatesY() + trk.GetStartVertexCoordinatesZ() * trk.GetStartVertexCoordinatesZ());
752 } else {
753 info.x = info.y = info.z = info.pX = info.pY = info.pZ = 0;
754 info.genRadius = 0;
755 }
756 }
757 }
758 }
759 if (mTracking && mTracking->GetProcessingSettings().debugLevel) {
760 GPUInfo("Finished reading O2 Track MC information (%f seconds)", timer.GetCurrentElapsedTime());
761 }
762 mO2MCDataLoaded = true;
763 }
764 if (updateIOPtr) {
765 CopyO2MCtoIOPtr(updateIOPtr);
766 }
767#endif
768}
769
770int32_t GPUQA::InitQA(int32_t tasks)
771{
772 if (mQAInitialized) {
773 throw std::runtime_error("QA already initialized");
774 }
775 if (tasks == -1) {
776 tasks = taskDefault;
777 }
778
779 mHist1D = new std::vector<TH1F>;
780 mHist2D = new std::vector<TH2F>;
781 mHist1Dd = new std::vector<TH1D>;
782 mHistGraph = new std::vector<TGraphAsymmErrors>;
783 if (mConfig.noMC) {
784 tasks &= tasksNoQC;
785 }
786 mQATasks = tasks;
787
788 if (mTracking->GetProcessingSettings().qcRunFraction != 100.f && mQATasks != taskClusterCounts) {
789 throw std::runtime_error("QA with qcRunFraction only supported for taskClusterCounts");
790 }
791
792 if (mTracking) {
793 mClNative = mTracking->mIOPtrs.clustersNative;
794 }
795
796 if (InitQACreateHistograms()) {
797 return 1;
798 }
799
800 if (mConfig.enableLocalOutput) {
801 mkdir("plots", S_IRWXU | S_IRWXG | S_IROTH | S_IXOTH);
802 }
803
804#ifdef GPUCA_O2_LIB
805 if (!mConfig.noMC) {
806 InitO2MCData(mTracking ? &mTracking->mIOPtrs : nullptr);
807 }
808#endif
809
810 if (mConfig.matchMCLabels.size()) {
811 uint32_t nFiles = mConfig.matchMCLabels.size();
812 std::vector<std::unique_ptr<TFile>> files;
813 std::vector<std::vector<std::vector<int32_t>>*> labelsBuffer(nFiles);
814 std::vector<std::vector<std::vector<int32_t>>*> effBuffer(nFiles);
815 for (uint32_t i = 0; i < nFiles; i++) {
816 files.emplace_back(std::make_unique<TFile>(mConfig.matchMCLabels[i].c_str()));
817 labelsBuffer[i] = (std::vector<std::vector<int32_t>>*)files[i]->Get("mcLabelBuffer");
818 effBuffer[i] = (std::vector<std::vector<int32_t>>*)files[i]->Get("mcEffBuffer");
819 if (labelsBuffer[i] == nullptr || effBuffer[i] == nullptr) {
820 GPUError("Error opening / reading from labels file %u/%s: %p %p", i, mConfig.matchMCLabels[i].c_str(), (void*)labelsBuffer[i], (void*)effBuffer[i]);
821 exit(1);
822 }
823 }
824
825 mGoodTracks.resize(labelsBuffer[0]->size());
826 mGoodHits.resize(labelsBuffer[0]->size());
827 for (uint32_t iEvent = 0; iEvent < labelsBuffer[0]->size(); iEvent++) {
828 std::vector<bool> labelsOK((*effBuffer[0])[iEvent].size());
829 for (uint32_t k = 0; k < (*effBuffer[0])[iEvent].size(); k++) {
830 labelsOK[k] = false;
831 for (uint32_t l = 0; l < nFiles; l++) {
832 if ((*effBuffer[0])[iEvent][k] != (*effBuffer[l])[iEvent][k]) {
833 labelsOK[k] = true;
834 break;
835 }
836 }
837 }
838 mGoodTracks[iEvent].resize((*labelsBuffer[0])[iEvent].size());
839 for (uint32_t k = 0; k < (*labelsBuffer[0])[iEvent].size(); k++) {
840 if ((*labelsBuffer[0])[iEvent][k] == MC_LABEL_INVALID) {
841 continue;
842 }
843 mGoodTracks[iEvent][k] = labelsOK[abs((*labelsBuffer[0])[iEvent][k])];
844 }
845 }
846 }
847 mQAInitialized = true;
848 return 0;
849}
850
851void GPUQA::RunQA(bool matchOnly, const std::vector<o2::tpc::TrackTPC>* tracksExternal, const std::vector<o2::MCCompLabel>* tracksExtMC, const o2::tpc::ClusterNativeAccess* clNative)
852{
853 if (!mQAInitialized) {
854 throw std::runtime_error("QA not initialized");
855 }
856 if (mTracking && mTracking->GetProcessingSettings().debugLevel >= 2) {
857 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));
858 }
859 if (!clNative && mTracking) {
860 clNative = mTracking->mIOPtrs.clustersNative;
861 }
862 mClNative = clNative;
863
864#ifdef GPUCA_TPC_GEOMETRY_O2
865 uint32_t nSimEvents = GetNMCCollissions();
866 if (mTrackMCLabelsReverse.size() < nSimEvents) {
867 mTrackMCLabelsReverse.resize(nSimEvents);
868 }
869 if (mRecTracks.size() < nSimEvents) {
870 mRecTracks.resize(nSimEvents);
871 }
872 if (mFakeTracks.size() < nSimEvents) {
873 mFakeTracks.resize(nSimEvents);
874 }
875 if (mMCParam.size() < nSimEvents) {
876 mMCParam.resize(nSimEvents);
877 }
878#endif
879
880 // Initialize Arrays
881 uint32_t nReconstructedTracks = 0;
882 if (tracksExternal) {
883#ifdef GPUCA_O2_LIB
884 nReconstructedTracks = tracksExternal->size();
885#endif
886 } else {
887 nReconstructedTracks = mTracking->mIOPtrs.nMergedTracks;
888 }
889 mTrackMCLabels.resize(nReconstructedTracks);
890 for (uint32_t iCol = 0; iCol < GetNMCCollissions(); iCol++) {
891 mTrackMCLabelsReverse[iCol].resize(GetNMCTracks(iCol));
892 mRecTracks[iCol].resize(GetNMCTracks(iCol));
893 mFakeTracks[iCol].resize(GetNMCTracks(iCol));
894 mMCParam[iCol].resize(GetNMCTracks(iCol));
895 memset(mRecTracks[iCol].data(), 0, mRecTracks[iCol].size() * sizeof(mRecTracks[iCol][0]));
896 memset(mFakeTracks[iCol].data(), 0, mFakeTracks[iCol].size() * sizeof(mFakeTracks[iCol][0]));
897 for (size_t i = 0; i < mTrackMCLabelsReverse[iCol].size(); i++) {
898 mTrackMCLabelsReverse[iCol][i] = -1;
899 }
900 }
901 if (mQATasks & taskClusterAttach && GetNMCLabels()) {
902 mClusterParam.resize(GetNMCLabels());
903 memset(mClusterParam.data(), 0, mClusterParam.size() * sizeof(mClusterParam[0]));
904 }
905 HighResTimer timer;
906
907 mNEvents++;
908 if (mConfig.writeMCLabels) {
909 mcEffBuffer.resize(mNEvents);
910 mcLabelBuffer.resize(mNEvents);
911 mcEffBuffer[mNEvents - 1].resize(GetNMCTracks(0));
912 mcLabelBuffer[mNEvents - 1].resize(nReconstructedTracks);
913 }
914
915 bool mcAvail = mcPresent() || tracksExtMC;
916
917 if (mcAvail) {
918 // Assign Track MC Labels
919 timer.Start();
920 if (tracksExternal) {
921#ifdef GPUCA_O2_LIB
922 for (uint32_t i = 0; i < tracksExternal->size(); i++) {
923 mTrackMCLabels[i] = (*tracksExtMC)[i];
924 }
925#endif
926 } else {
927 tbb::parallel_for(tbb::blocked_range<uint32_t>(0, nReconstructedTracks, (QA_DEBUG == 0) ? 32 : nReconstructedTracks), [&](const tbb::blocked_range<uint32_t>& range) {
928 auto acc = GPUTPCTrkLbl<true, mcLabelI_t>(GetClusterLabels(), 1.f - mConfig.recThreshold);
929 for (auto i = range.begin(); i < range.end(); i++) {
930 acc.reset();
931 int32_t nClusters = 0;
932 const GPUTPCGMMergedTrack& track = mTracking->mIOPtrs.mergedTracks[i];
933 std::vector<mcLabel_t> labels;
934 for (uint32_t k = 0; k < track.NClusters(); k++) {
935 if (mTracking->mIOPtrs.mergedTrackHits[track.FirstClusterRef() + k].state & GPUTPCGMMergedTrackHit::flagReject) {
936 continue;
937 }
938 nClusters++;
939 uint32_t hitId = mTracking->mIOPtrs.mergedTrackHits[track.FirstClusterRef() + k].num;
940 if (hitId >= GetNMCLabels()) {
941 GPUError("Invalid hit id %u > %d (nClusters %d)", hitId, GetNMCLabels(), mTracking->mIOPtrs.clustersNative ? mTracking->mIOPtrs.clustersNative->nClustersTotal : 0);
942 throw std::runtime_error("qa error");
943 }
944 acc.addLabel(hitId);
945 for (int32_t j = 0; j < GetMCLabelNID(hitId); j++) {
946 if (GetMCLabelID(hitId, j) >= (int32_t)GetNMCTracks(GetMCLabelCol(hitId, j))) {
947 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));
948 throw std::runtime_error("qa error");
949 }
950 if (GetMCLabelID(hitId, j) >= 0) {
951 if (QA_DEBUG >= 3 && track.OK()) {
952 GPUInfo("Track %d Cluster %u Label %d: %d (%f)", i, k, j, GetMCLabelID(hitId, j), GetMCLabelWeight(hitId, j));
953 }
954 }
955 }
956 }
957
958 float maxweight, sumweight;
959 int32_t maxcount;
960 auto maxLabel = acc.computeLabel(&maxweight, &sumweight, &maxcount);
961 mTrackMCLabels[i] = maxLabel;
962 if (QA_DEBUG && track.OK() && GetNMCTracks(maxLabel) > (uint32_t)maxLabel.getTrackID()) {
963 const mcInfo_t& mc = GetMCTrack(maxLabel);
964 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,
965 std::sqrt(mc.pX * mc.pX + mc.pY * mc.pY));
966 }
967 }
968 });
969 }
970 if (QA_TIMING || (mTracking && mTracking->GetProcessingSettings().debugLevel >= 3)) {
971 GPUInfo("QA Time: Assign Track Labels:\t\t%6.0f us", timer.GetCurrentElapsedTime(true) * 1e6);
972 }
973
974 for (uint32_t i = 0; i < nReconstructedTracks; i++) {
975 const GPUTPCGMMergedTrack* track = mTracking ? &mTracking->mIOPtrs.mergedTracks[i] : nullptr;
976 mcLabelI_t label = mTrackMCLabels[i];
977 if (mQATasks & taskClusterAttach) {
978 // fill cluster attachment status
979 if (!track->OK()) {
980 continue;
981 }
982 if (!mTrackMCLabels[i].isValid()) {
983 for (uint32_t k = 0; k < track->NClusters(); k++) {
984 if (mTracking->mIOPtrs.mergedTrackHits[track->FirstClusterRef() + k].state & GPUTPCGMMergedTrackHit::flagReject) {
985 continue;
986 }
987 mClusterParam[mTracking->mIOPtrs.mergedTrackHits[track->FirstClusterRef() + k].num].fakeAttached++;
988 }
989 continue;
990 }
991 if (mMCTrackMin == -1 || (label.getTrackID() >= mMCTrackMin && label.getTrackID() < mMCTrackMax)) {
992 for (uint32_t k = 0; k < track->NClusters(); k++) {
993 if (mTracking->mIOPtrs.mergedTrackHits[track->FirstClusterRef() + k].state & GPUTPCGMMergedTrackHit::flagReject) {
994 continue;
995 }
996 int32_t hitId = mTracking->mIOPtrs.mergedTrackHits[track->FirstClusterRef() + k].num;
997 bool correct = false;
998 for (int32_t j = 0; j < GetMCLabelNID(hitId); j++) {
999 if (label == GetMCLabel(hitId, j)) {
1000 correct = true;
1001 break;
1002 }
1003 }
1004 if (correct) {
1005 mClusterParam[hitId].attached++;
1006 } else {
1007 mClusterParam[hitId].fakeAttached++;
1008 }
1009 }
1010 }
1011 }
1012
1013 if (mTrackMCLabels[i].isFake()) {
1014 (GetMCTrackObj(mFakeTracks, label))++;
1015 } else if (tracksExternal || !track->MergedLooper()) {
1016 GetMCTrackObj(mRecTracks, label)++;
1017 if (mMCTrackMin == -1 || (label.getTrackID() >= mMCTrackMin && label.getTrackID() < mMCTrackMax)) {
1018 int32_t& revLabel = GetMCTrackObj(mTrackMCLabelsReverse, label);
1019 if (tracksExternal) {
1020#ifdef GPUCA_O2_LIB
1021 if (revLabel == -1 || fabsf((*tracksExternal)[i].getZ()) < fabsf((*tracksExternal)[revLabel].getZ())) {
1022 revLabel = i;
1023 }
1024#endif
1025 } else {
1026 const auto* trks = mTracking->mIOPtrs.mergedTracks;
1027 bool comp;
1028 if (revLabel == -1) {
1029 comp = true;
1030 } else if (mTracking->GetParam().par.earlyTpcTransform) {
1031 comp = fabsf(trks[i].GetParam().GetZ() + trks[i].GetParam().GetTZOffset()) < fabsf(trks[revLabel].GetParam().GetZ() + trks[revLabel].GetParam().GetTZOffset());
1032 } else {
1033 float shift1 = mTracking->GetTPCTransformHelper()->getCorrMap()->convDeltaTimeToDeltaZinTimeFrame(trks[i].CSide() * GPUChainTracking::NSECTORS / 2, trks[i].GetParam().GetTZOffset());
1034 float shift2 = mTracking->GetTPCTransformHelper()->getCorrMap()->convDeltaTimeToDeltaZinTimeFrame(trks[revLabel].CSide() * GPUChainTracking::NSECTORS / 2, trks[revLabel].GetParam().GetTZOffset());
1035 comp = fabsf(trks[i].GetParam().GetZ() + shift1) < fabsf(trks[revLabel].GetParam().GetZ() + shift2);
1036 }
1037 if (revLabel == -1 || !trks[revLabel].OK() || (trks[i].OK() && comp)) {
1038 revLabel = i;
1039 }
1040 }
1041 }
1042 }
1043 }
1044 if ((mQATasks & taskClusterAttach) && mTracking->mIOPtrs.mergedTrackHitAttachment) {
1045 // fill cluster adjacent status
1046 for (uint32_t i = 0; i < GetNMCLabels(); i++) {
1047 if (mClusterParam[i].attached == 0 && mClusterParam[i].fakeAttached == 0) {
1048 int32_t attach = mTracking->mIOPtrs.mergedTrackHitAttachment[i];
1049 if (attach & gputpcgmmergertypes::attachFlagMask) {
1050 int32_t track = attach & gputpcgmmergertypes::attachTrackMask;
1051 mcLabelI_t trackL = mTrackMCLabels[track];
1052 bool fake = true;
1053 for (int32_t j = 0; j < GetMCLabelNID(i); j++) {
1054 // GPUInfo("Attach %x Track %d / %d:%d", attach, track, j, GetMCLabelID(i, j));
1055 if (trackL == GetMCLabel(i, j)) {
1056 fake = false;
1057 break;
1058 }
1059 }
1060 if (fake) {
1061 mClusterParam[i].fakeAdjacent++;
1062 } else {
1063 mClusterParam[i].adjacent++;
1064 }
1065 }
1066 }
1067 }
1068 }
1069
1070 if (mConfig.matchMCLabels.size()) {
1071 mGoodHits[mNEvents - 1].resize(GetNMCLabels());
1072 std::vector<bool> allowMCLabels(GetNMCTracks(0));
1073 for (uint32_t k = 0; k < GetNMCTracks(0); k++) {
1074 allowMCLabels[k] = false;
1075 }
1076 for (uint32_t i = 0; i < nReconstructedTracks; i++) {
1077 if (!mGoodTracks[mNEvents - 1][i]) {
1078 continue;
1079 }
1080 if (mConfig.matchDisplayMinPt > 0) {
1081 if (!mTrackMCLabels[i].isValid()) {
1082 continue;
1083 }
1084 const mcInfo_t& info = GetMCTrack(mTrackMCLabels[i]);
1085 if (info.pX * info.pX + info.pY * info.pY < mConfig.matchDisplayMinPt * mConfig.matchDisplayMinPt) {
1086 continue;
1087 }
1088 }
1089
1090 const GPUTPCGMMergedTrack& track = mTracking->mIOPtrs.mergedTracks[i];
1091 for (uint32_t j = 0; j < track.NClusters(); j++) {
1092 int32_t hitId = mTracking->mIOPtrs.mergedTrackHits[track.FirstClusterRef() + j].num;
1093 if (GetMCLabelNID(hitId)) {
1094 int32_t mcID = GetMCLabelID(hitId, 0);
1095 if (mcID >= 0) {
1096 allowMCLabels[mcID] = true;
1097 }
1098 }
1099 }
1100 }
1101 for (uint32_t i = 0; i < GetNMCLabels(); i++) {
1102 for (int32_t j = 0; j < GetMCLabelNID(i); j++) {
1103 int32_t mcID = GetMCLabelID(i, j);
1104 if (mcID >= 0 && allowMCLabels[mcID]) {
1105 mGoodHits[mNEvents - 1][i] = true;
1106 }
1107 }
1108 }
1109 }
1110 if (QA_TIMING || (mTracking && mTracking->GetProcessingSettings().debugLevel >= 3)) {
1111 GPUInfo("QA Time: Cluster attach status:\t\t%6.0f us", timer.GetCurrentElapsedTime(true) * 1e6);
1112 }
1113
1114 if (matchOnly) {
1115 return;
1116 }
1117
1118 // Recompute fNWeightCls (might have changed after merging events into timeframes)
1119 for (uint32_t iCol = 0; iCol < GetNMCCollissions(); iCol++) {
1120 for (uint32_t i = 0; i < GetNMCTracks(iCol); i++) {
1121 mMCParam[iCol][i].nWeightCls = 0.;
1122 }
1123 }
1124 for (uint32_t i = 0; i < GetNMCLabels(); i++) {
1125 float weightTotal = 0.f;
1126 for (int32_t j = 0; j < GetMCLabelNID(i); j++) {
1127 if (GetMCLabelID(i, j) >= 0) {
1128 weightTotal += GetMCLabelWeight(i, j);
1129 }
1130 }
1131 for (int32_t j = 0; j < GetMCLabelNID(i); j++) {
1132 if (GetMCLabelID(i, j) >= 0) {
1133 GetMCTrackObj(mMCParam, GetMCLabel(i, j)).nWeightCls += GetMCLabelWeight(i, j) / weightTotal;
1134 }
1135 }
1136 }
1137 if (QA_TIMING || (mTracking && mTracking->GetProcessingSettings().debugLevel >= 3)) {
1138 GPUInfo("QA Time: Compute cluster label weights:\t%6.0f us", timer.GetCurrentElapsedTime(true) * 1e6);
1139 }
1140
1141 // Compute MC Track Parameters for MC Tracks
1142 tbb::parallel_for<uint32_t>(0, GetNMCCollissions(), [&](auto iCol) {
1143 for (uint32_t i = 0; i < GetNMCTracks(iCol); i++) {
1144 const mcInfo_t& info = GetMCTrack(i, iCol);
1145 additionalMCParameters& mc2 = mMCParam[iCol][i];
1146 mc2.pt = std::sqrt(info.pX * info.pX + info.pY * info.pY);
1147 mc2.phi = M_PI + std::atan2(-info.pY, -info.pX);
1148 float p = info.pX * info.pX + info.pY * info.pY + info.pZ * info.pZ;
1149 if (p < 1e-18) {
1150 mc2.theta = mc2.eta = 0.f;
1151 } else {
1152 mc2.theta = info.pZ == 0 ? (M_PI / 2) : (std::acos(info.pZ / std::sqrt(p)));
1153 mc2.eta = -std::log(std::tan(0.5 * mc2.theta));
1154 }
1155 if (mConfig.writeMCLabels) {
1156 std::vector<int32_t>& effBuffer = mcEffBuffer[mNEvents - 1];
1157 effBuffer[i] = mRecTracks[iCol][i] * 1000 + mFakeTracks[iCol][i];
1158 }
1159 } // clang-format off
1160 }, tbb::simple_partitioner()); // clang-format on
1161 if (QA_TIMING || (mTracking && mTracking->GetProcessingSettings().debugLevel >= 3)) {
1162 GPUInfo("QA Time: Compute track mc parameters:\t%6.0f us", timer.GetCurrentElapsedTime(true) * 1e6);
1163 }
1164
1165 // Fill Efficiency Histograms
1166 if (mQATasks & taskTrackingEff) {
1167 for (uint32_t iCol = 0; iCol < GetNMCCollissions(); iCol++) {
1168 for (uint32_t i = 0; i < GetNMCTracks(iCol); i++) {
1169 if ((mMCTrackMin != -1 && (int32_t)i < mMCTrackMin) || (mMCTrackMax != -1 && (int32_t)i >= mMCTrackMax)) {
1170 continue;
1171 }
1172 const mcInfo_t& info = GetMCTrack(i, iCol);
1173 const additionalMCParameters& mc2 = mMCParam[iCol][i];
1174 if (mc2.nWeightCls == 0.f) {
1175 continue;
1176 }
1177 const float& mcpt = mc2.pt;
1178 const float& mcphi = mc2.phi;
1179 const float& mceta = mc2.eta;
1180
1181 if (info.primDaughters) {
1182 continue;
1183 }
1184 if (mc2.nWeightCls < MIN_WEIGHT_CLS) {
1185 continue;
1186 }
1187 int32_t findable = mc2.nWeightCls >= FINDABLE_WEIGHT_CLS;
1188 if (info.pid < 0) {
1189 continue;
1190 }
1191 if (info.charge == 0.f) {
1192 continue;
1193 }
1194 if (mConfig.filterCharge && info.charge * mConfig.filterCharge < 0) {
1195 continue;
1196 }
1197 if (mConfig.filterPID >= 0 && info.pid != mConfig.filterPID) {
1198 continue;
1199 }
1200
1201 if (fabsf(mceta) > ETA_MAX || mcpt < PT_MIN || mcpt > PT_MAX) {
1202 continue;
1203 }
1204
1205 float alpha = std::atan2(info.y, info.x);
1206 alpha /= M_PI / 9.f;
1207 alpha = std::floor(alpha);
1208 alpha *= M_PI / 9.f;
1209 alpha += M_PI / 18.f;
1210
1211 float c = std::cos(alpha);
1212 float s = std::sin(alpha);
1213 float localY = -info.x * s + info.y * c;
1214
1215 if (mConfig.dumpToROOT) {
1216 static auto effdump = GPUROOTDump<TNtuple>::getNew("eff", "alpha:x:y:z:mcphi:mceta:mcpt:rec:fake:findable:prim");
1217 float localX = info.x * c + info.y * s;
1218 effdump.Fill(alpha, localX, localY, info.z, mcphi, mceta, mcpt, mRecTracks[iCol][i], mFakeTracks[iCol][i], findable, info.prim);
1219 }
1220
1221 for (int32_t j = 0; j < 4; j++) {
1222 for (int32_t k = 0; k < 2; k++) {
1223 if (k == 0 && findable == 0) {
1224 continue;
1225 }
1226
1227 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;
1228 if (val == 0) {
1229 continue;
1230 }
1231
1232 for (int32_t l = 0; l < 5; l++) {
1233 if (info.prim && mcpt < PT_MIN_PRIM) {
1234 continue;
1235 }
1236 if (l != 3 && fabsf(mceta) > ETA_MAX2) {
1237 continue;
1238 }
1239 if (l < 4 && mcpt < 1.f / mConfig.qpt) {
1240 continue;
1241 }
1242
1243 float pos = l == 0 ? localY : l == 1 ? info.z : l == 2 ? mcphi : l == 3 ? mceta : mcpt;
1244
1245 mEff[j][k][!info.prim][l]->Fill(pos, val);
1246 }
1247 }
1248 }
1249 }
1250 }
1251 if (QA_TIMING || (mTracking && mTracking->GetProcessingSettings().debugLevel >= 3)) {
1252 GPUInfo("QA Time: Fill efficiency histograms:\t%6.0f us", timer.GetCurrentElapsedTime(true) * 1e6);
1253 }
1254 }
1255
1256 // Fill Resolution Histograms
1257 if (mQATasks & (taskTrackingRes | taskTrackingResPull)) {
1258 GPUTPCGMPropagator prop;
1259 prop.SetMaxSinPhi(.999);
1260 prop.SetMaterialTPC();
1261 prop.SetPolynomialField(&mParam->polynomialField);
1262
1263 for (uint32_t i = 0; i < mTrackMCLabels.size(); i++) {
1264 if (mConfig.writeMCLabels) {
1265 std::vector<int32_t>& labelBuffer = mcLabelBuffer[mNEvents - 1];
1266 labelBuffer[i] = mTrackMCLabels[i].getTrackID();
1267 }
1268 if (mTrackMCLabels[i].isFake()) {
1269 continue;
1270 }
1271 const mcInfo_t& mc1 = GetMCTrack(mTrackMCLabels[i]);
1272 const additionalMCParameters& mc2 = GetMCTrackObj(mMCParam, mTrackMCLabels[i]);
1273
1274 if (mc1.primDaughters) {
1275 continue;
1276 }
1277 if (!tracksExternal) {
1278 if (!mTracking->mIOPtrs.mergedTracks[i].OK()) {
1279 continue;
1280 }
1281 if (mTracking->mIOPtrs.mergedTracks[i].MergedLooper()) {
1282 continue;
1283 }
1284 }
1285 if ((mMCTrackMin != -1 && mTrackMCLabels[i].getTrackID() < mMCTrackMin) || (mMCTrackMax != -1 && mTrackMCLabels[i].getTrackID() >= mMCTrackMax)) {
1286 continue;
1287 }
1288 if (fabsf(mc2.eta) > ETA_MAX || mc2.pt < PT_MIN || mc2.pt > PT_MAX) {
1289 continue;
1290 }
1291 if (mc1.charge == 0.f) {
1292 continue;
1293 }
1294 if (mc1.pid < 0) {
1295 continue;
1296 }
1297 if (mConfig.filterCharge && mc1.charge * mConfig.filterCharge < 0) {
1298 continue;
1299 }
1300 if (mConfig.filterPID >= 0 && mc1.pid != mConfig.filterPID) {
1301 continue;
1302 }
1303 if (mc2.nWeightCls < MIN_WEIGHT_CLS) {
1304 continue;
1305 }
1306 if (mConfig.resPrimaries == 1 && !mc1.prim) {
1307 continue;
1308 } else if (mConfig.resPrimaries == 2 && mc1.prim) {
1309 continue;
1310 }
1311 if (GetMCTrackObj(mTrackMCLabelsReverse, mTrackMCLabels[i]) != (int32_t)i) {
1312 continue;
1313 }
1314
1315 GPUTPCGMTrackParam param;
1316 float alpha = 0.f;
1317 int32_t side;
1318 if (tracksExternal) {
1319#ifdef GPUCA_O2_LIB
1320 for (int32_t k = 0; k < 5; k++) {
1321 param.Par()[k] = (*tracksExternal)[i].getParams()[k];
1322 }
1323 for (int32_t k = 0; k < 15; k++) {
1324 param.Cov()[k] = (*tracksExternal)[i].getCov()[k];
1325 }
1326 param.X() = (*tracksExternal)[i].getX();
1327 param.TZOffset() = (*tracksExternal)[i].getTime0();
1328 alpha = (*tracksExternal)[i].getAlpha();
1329 side = (*tracksExternal)[i].hasBothSidesClusters() ? 2 : ((*tracksExternal)[i].hasCSideClusters() ? 1 : 0);
1330#endif
1331 } else {
1332 param = mTracking->mIOPtrs.mergedTracks[i].GetParam();
1333 alpha = mTracking->mIOPtrs.mergedTracks[i].GetAlpha();
1334 side = mTracking->mIOPtrs.mergedTracks[i].CCE() ? 2 : (mTracking->mIOPtrs.mergedTracks[i].CSide() ? 1 : 0);
1335 }
1336
1337 float mclocal[4]; // Rotated x,y,Px,Py mc-coordinates - the MC data should be rotated since the track is propagated best along x
1338 float c = std::cos(alpha);
1339 float s = std::sin(alpha);
1340 float x = mc1.x;
1341 float y = mc1.y;
1342 mclocal[0] = x * c + y * s;
1343 mclocal[1] = -x * s + y * c;
1344 float px = mc1.pX;
1345 float py = mc1.pY;
1346 mclocal[2] = px * c + py * s;
1347 mclocal[3] = -px * s + py * c;
1348
1349 if (mclocal[0] < TRACK_EXPECTED_REFERENCE_X - 3) {
1350 continue;
1351 }
1352 if (mclocal[0] > param.GetX() + 20) {
1353 continue;
1354 }
1355 if (param.GetX() > mConfig.maxResX) {
1356 continue;
1357 }
1358
1359 auto getdz = [this, &param, &mc1, &side, tracksExternal]() {
1360 if (tracksExternal) {
1361 return param.GetZ();
1362 }
1363 if (!mParam->continuousMaxTimeBin) {
1364 return param.GetZ() - mc1.z;
1365 }
1366#ifdef GPUCA_TPC_GEOMETRY_O2
1367 if (!mParam->par.earlyTpcTransform) {
1368 float shift = side == 2 ? 0 : mTracking->GetTPCTransformHelper()->getCorrMap()->convDeltaTimeToDeltaZinTimeFrame(side * GPUChainTracking::NSECTORS / 2, param.GetTZOffset() - mc1.t0);
1369 return param.GetZ() + shift - mc1.z;
1370 }
1371#endif
1372 return param.Z() + param.TZOffset() - mc1.z;
1373 };
1374
1375 prop.SetTrack(&param, alpha);
1376 bool inFlyDirection = 0;
1377 if (mConfig.strict) {
1378 const float dx = param.X() - std::max<float>(mclocal[0], TRACK_EXPECTED_REFERENCE_X_DEFAULT); // Limit distance check
1379 const float dy = param.Y() - mclocal[1];
1380 const float dz = getdz();
1381 if (dx * dx + dy * dy + dz * dz > 5.f * 5.f) {
1382 continue;
1383 }
1384 }
1385
1386 if (prop.PropagateToXAlpha(mclocal[0], alpha, inFlyDirection)) {
1387 continue;
1388 }
1389 if (fabsf(param.Y() - mclocal[1]) > (mConfig.strict ? 1.f : 4.f) || fabsf(getdz()) > (mConfig.strict ? 1.f : 4.f)) {
1390 continue;
1391 }
1392 float charge = mc1.charge > 0 ? 1.f : -1.f;
1393
1394 float deltaY = param.GetY() - mclocal[1];
1395 float deltaZ = getdz();
1396 float deltaPhiNative = param.GetSinPhi() - mclocal[3] / mc2.pt;
1397 float deltaPhi = std::asin(param.GetSinPhi()) - std::atan2(mclocal[3], mclocal[2]);
1398 float deltaLambdaNative = param.GetDzDs() - mc1.pZ / mc2.pt;
1399 float deltaLambda = std::atan(param.GetDzDs()) - std::atan2(mc1.pZ, mc2.pt);
1400 float deltaPtNative = (param.GetQPt() - charge / mc2.pt) * charge;
1401 float deltaPt = (fabsf(1.f / param.GetQPt()) - mc2.pt) / mc2.pt;
1402
1403 float paramval[5] = {mclocal[1], mc1.z, mc2.phi, mc2.eta, mc2.pt};
1404 float resval[5] = {deltaY, deltaZ, mConfig.nativeFitResolutions ? deltaPhiNative : deltaPhi, mConfig.nativeFitResolutions ? deltaLambdaNative : deltaLambda, mConfig.nativeFitResolutions ? deltaPtNative : deltaPt};
1405 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())};
1406
1407 for (int32_t j = 0; j < 5; j++) {
1408 for (int32_t k = 0; k < 5; k++) {
1409 if (k != 3 && fabsf(mc2.eta) > ETA_MAX2) {
1410 continue;
1411 }
1412 if (k < 4 && mc2.pt < 1.f / mConfig.qpt) {
1413 continue;
1414 }
1415 if (mQATasks & taskTrackingRes) {
1416 mRes2[j][k]->Fill(resval[j], paramval[k]);
1417 }
1418 if (mQATasks & taskTrackingResPull) {
1419 mPull2[j][k]->Fill(pullval[j], paramval[k]);
1420 }
1421 }
1422 }
1423 }
1424 if (QA_TIMING || (mTracking && mTracking->GetProcessingSettings().debugLevel >= 3)) {
1425 GPUInfo("QA Time: Fill resolution histograms:\t%6.0f us", timer.GetCurrentElapsedTime(true) * 1e6);
1426 }
1427 }
1428
1429 if (mQATasks & taskClusterAttach) {
1430 // Fill cluster histograms
1431 for (uint32_t iTrk = 0; iTrk < nReconstructedTracks; iTrk++) {
1432 const GPUTPCGMMergedTrack& track = mTracking->mIOPtrs.mergedTracks[iTrk];
1433 if (!track.OK()) {
1434 continue;
1435 }
1436 if (!mTrackMCLabels[iTrk].isValid()) {
1437 for (uint32_t k = 0; k < track.NClusters(); k++) {
1438 if (mTracking->mIOPtrs.mergedTrackHits[track.FirstClusterRef() + k].state & GPUTPCGMMergedTrackHit::flagReject) {
1439 continue;
1440 }
1441 int32_t hitId = mTracking->mIOPtrs.mergedTrackHits[track.FirstClusterRef() + k].num;
1442 float totalWeight = 0.;
1443 for (int32_t j = 0; j < GetMCLabelNID(hitId); j++) {
1444 if (GetMCLabelID(hitId, j) >= 0 && GetMCTrackObj(mMCParam, GetMCLabel(hitId, j)).pt > GPUCA_MIN_TRACK_PTB5_DEFAULT) {
1445 totalWeight += GetMCLabelWeight(hitId, j);
1446 }
1447 }
1448 int32_t attach = mTracking->mIOPtrs.mergedTrackHitAttachment[hitId];
1449 CHECK_CLUSTER_STATE_NOCOUNT();
1450 if (totalWeight > 0) {
1451 float weight = 1.f / (totalWeight * (mClusterParam[hitId].attached + mClusterParam[hitId].fakeAttached));
1452 for (int32_t j = 0; j < GetMCLabelNID(hitId); j++) {
1453 mcLabelI_t label = GetMCLabel(hitId, j);
1454 if (!label.isFake() && GetMCTrackObj(mMCParam, label).pt > GPUCA_MIN_TRACK_PTB5_DEFAULT) {
1455 float pt = GetMCTrackObj(mMCParam, label).pt;
1456 if (pt < PT_MIN_CLUST) {
1457 pt = PT_MIN_CLUST;
1458 }
1459 mClusters[CL_fake]->Fill(pt, GetMCLabelWeight(hitId, j) * weight);
1460 mClusters[CL_att_adj]->Fill(pt, GetMCLabelWeight(hitId, j) * weight);
1461 if (GetMCTrackObj(mRecTracks, label)) {
1462 mClusters[CL_tracks]->Fill(pt, GetMCLabelWeight(hitId, j) * weight);
1463 }
1464 mClusters[CL_all]->Fill(pt, GetMCLabelWeight(hitId, j) * weight);
1465 if (protect || physics) {
1466 mClusters[CL_prot]->Fill(pt, GetMCLabelWeight(hitId, j) * weight);
1467 }
1468 if (physics) {
1469 mClusters[CL_physics]->Fill(pt, GetMCLabelWeight(hitId, j) * weight);
1470 }
1471 }
1472 }
1473 } else {
1474 float weight = 1.f / (mClusterParam[hitId].attached + mClusterParam[hitId].fakeAttached);
1475 mClusters[CL_fake]->Fill(0.f, weight);
1476 mClusters[CL_att_adj]->Fill(0.f, weight);
1477 mClusters[CL_all]->Fill(0.f, weight);
1478 mClusterCounts.nUnaccessible += weight;
1479 if (protect || physics) {
1480 mClusters[CL_prot]->Fill(0.f, weight);
1481 }
1482 if (physics) {
1483 mClusters[CL_physics]->Fill(0.f, weight);
1484 }
1485 }
1486 }
1487 continue;
1488 }
1489 mcLabelI_t label = mTrackMCLabels[iTrk];
1490 if (mMCTrackMin != -1 && (label.getTrackID() < mMCTrackMin || label.getTrackID() >= mMCTrackMax)) {
1491 continue;
1492 }
1493 for (uint32_t k = 0; k < track.NClusters(); k++) {
1494 if (mTracking->mIOPtrs.mergedTrackHits[track.FirstClusterRef() + k].state & GPUTPCGMMergedTrackHit::flagReject) {
1495 continue;
1496 }
1497 int32_t hitId = mTracking->mIOPtrs.mergedTrackHits[track.FirstClusterRef() + k].num;
1498 float pt = GetMCTrackObj(mMCParam, label).pt;
1499 if (pt < PT_MIN_CLUST) {
1500 pt = PT_MIN_CLUST;
1501 }
1502 float weight = 1.f / (mClusterParam[hitId].attached + mClusterParam[hitId].fakeAttached);
1503 bool correct = false;
1504 for (int32_t j = 0; j < GetMCLabelNID(hitId); j++) {
1505 if (label == GetMCLabel(hitId, j)) {
1506 correct = true;
1507 break;
1508 }
1509 }
1510 if (correct) {
1511 mClusters[CL_attached]->Fill(pt, weight);
1512 mClusters[CL_tracks]->Fill(pt, weight);
1513 } else {
1514 mClusters[CL_fake]->Fill(pt, weight);
1515 }
1516 mClusters[CL_att_adj]->Fill(pt, weight);
1517 mClusters[CL_all]->Fill(pt, weight);
1518 int32_t attach = mTracking->mIOPtrs.mergedTrackHitAttachment[hitId];
1519 CHECK_CLUSTER_STATE_NOCOUNT();
1520 if (protect || physics) {
1521 mClusters[CL_prot]->Fill(pt, weight);
1522 }
1523 if (physics) {
1524 mClusters[CL_physics]->Fill(pt, weight);
1525 }
1526 }
1527 }
1528 for (uint32_t i = 0; i < GetNMCLabels(); i++) {
1529 if ((mMCTrackMin != -1 && GetMCLabelID(i, 0) < mMCTrackMin) || (mMCTrackMax != -1 && GetMCLabelID(i, 0) >= mMCTrackMax)) {
1530 continue;
1531 }
1532 if (mClusterParam[i].attached || mClusterParam[i].fakeAttached) {
1533 continue;
1534 }
1535 int32_t attach = mTracking->mIOPtrs.mergedTrackHitAttachment[i];
1536 CHECK_CLUSTER_STATE_NOCOUNT();
1537 if (mClusterParam[i].adjacent) {
1538 int32_t label = mTracking->mIOPtrs.mergedTrackHitAttachment[i] & gputpcgmmergertypes::attachTrackMask;
1539 if (!mTrackMCLabels[label].isValid()) {
1540 float totalWeight = 0.;
1541 for (int32_t j = 0; j < GetMCLabelNID(i); j++) {
1542 mcLabelI_t labelT = GetMCLabel(i, j);
1543 if (!labelT.isFake() && GetMCTrackObj(mMCParam, labelT).pt > GPUCA_MIN_TRACK_PTB5_DEFAULT) {
1544 totalWeight += GetMCLabelWeight(i, j);
1545 }
1546 }
1547 float weight = 1.f / totalWeight;
1548 if (totalWeight > 0) {
1549 for (int32_t j = 0; j < GetMCLabelNID(i); j++) {
1550 mcLabelI_t labelT = GetMCLabel(i, j);
1551 if (!labelT.isFake() && GetMCTrackObj(mMCParam, labelT).pt > GPUCA_MIN_TRACK_PTB5_DEFAULT) {
1552 float pt = GetMCTrackObj(mMCParam, labelT).pt;
1553 if (pt < PT_MIN_CLUST) {
1554 pt = PT_MIN_CLUST;
1555 }
1556 if (GetMCTrackObj(mRecTracks, labelT)) {
1557 mClusters[CL_tracks]->Fill(pt, GetMCLabelWeight(i, j) * weight);
1558 }
1559 mClusters[CL_att_adj]->Fill(pt, GetMCLabelWeight(i, j) * weight);
1560 mClusters[CL_fakeAdj]->Fill(pt, GetMCLabelWeight(i, j) * weight);
1561 mClusters[CL_all]->Fill(pt, GetMCLabelWeight(i, j) * weight);
1562 if (protect || physics) {
1563 mClusters[CL_prot]->Fill(pt, GetMCLabelWeight(i, j) * weight);
1564 }
1565 if (physics) {
1566 mClusters[CL_physics]->Fill(pt, GetMCLabelWeight(i, j) * weight);
1567 }
1568 }
1569 }
1570 } else {
1571 mClusters[CL_att_adj]->Fill(0.f, 1.f);
1572 mClusters[CL_fakeAdj]->Fill(0.f, 1.f);
1573 mClusters[CL_all]->Fill(0.f, 1.f);
1574 mClusterCounts.nUnaccessible++;
1575 if (protect || physics) {
1576 mClusters[CL_prot]->Fill(0.f, 1.f);
1577 }
1578 if (physics) {
1579 mClusters[CL_physics]->Fill(0.f, 1.f);
1580 }
1581 }
1582 } else {
1583 float pt = GetMCTrackObj(mMCParam, mTrackMCLabels[label]).pt;
1584 if (pt < PT_MIN_CLUST) {
1585 pt = PT_MIN_CLUST;
1586 }
1587 mClusters[CL_att_adj]->Fill(pt, 1.f);
1588 mClusters[CL_tracks]->Fill(pt, 1.f);
1589 mClusters[CL_all]->Fill(pt, 1.f);
1590 if (protect || physics) {
1591 mClusters[CL_prot]->Fill(pt, 1.f);
1592 }
1593 if (physics) {
1594 mClusters[CL_physics]->Fill(pt, 1.f);
1595 }
1596 }
1597 } else {
1598 float totalWeight = 0.;
1599 for (int32_t j = 0; j < GetMCLabelNID(i); j++) {
1600 mcLabelI_t labelT = GetMCLabel(i, j);
1601 if (!labelT.isFake() && GetMCTrackObj(mMCParam, labelT).pt > GPUCA_MIN_TRACK_PTB5_DEFAULT) {
1602 totalWeight += GetMCLabelWeight(i, j);
1603 }
1604 }
1605 if (totalWeight > 0) {
1606 for (int32_t j = 0; j < GetMCLabelNID(i); j++) {
1607 mcLabelI_t label = GetMCLabel(i, j);
1608 if (!label.isFake() && GetMCTrackObj(mMCParam, label).pt > GPUCA_MIN_TRACK_PTB5_DEFAULT) {
1609 float pt = GetMCTrackObj(mMCParam, label).pt;
1610 if (pt < PT_MIN_CLUST) {
1611 pt = PT_MIN_CLUST;
1612 }
1613 float weight = GetMCLabelWeight(i, j) / totalWeight;
1614 if (mClusterParam[i].fakeAdjacent) {
1615 mClusters[CL_fakeAdj]->Fill(pt, weight);
1616 }
1617 if (mClusterParam[i].fakeAdjacent) {
1618 mClusters[CL_att_adj]->Fill(pt, weight);
1619 }
1620 if (GetMCTrackObj(mRecTracks, label)) {
1621 mClusters[CL_tracks]->Fill(pt, weight);
1622 }
1623 mClusters[CL_all]->Fill(pt, weight);
1624 if (protect || physics) {
1625 mClusters[CL_prot]->Fill(pt, weight);
1626 }
1627 if (physics) {
1628 mClusters[CL_physics]->Fill(pt, weight);
1629 }
1630 }
1631 }
1632 } else {
1633 if (mClusterParam[i].fakeAdjacent) {
1634 mClusters[CL_fakeAdj]->Fill(0.f, 1.f);
1635 }
1636 if (mClusterParam[i].fakeAdjacent) {
1637 mClusters[CL_att_adj]->Fill(0.f, 1.f);
1638 }
1639 mClusters[CL_all]->Fill(0.f, 1.f);
1640 mClusterCounts.nUnaccessible++;
1641 if (protect || physics) {
1642 mClusters[CL_prot]->Fill(0.f, 1.f);
1643 }
1644 if (physics) {
1645 mClusters[CL_physics]->Fill(0.f, 1.f);
1646 }
1647 }
1648 }
1649 }
1650
1651 if (QA_TIMING || (mTracking && mTracking->GetProcessingSettings().debugLevel >= 3)) {
1652 GPUInfo("QA Time: Fill cluster histograms:\t%6.0f us", timer.GetCurrentElapsedTime(true) * 1e6);
1653 }
1654 }
1655 } else if (!mConfig.inputHistogramsOnly && !mConfig.noMC && (mQATasks & (taskTrackingEff | taskTrackingRes | taskTrackingResPull | taskClusterAttach))) {
1656 GPUWarning("No MC information available, only running partial TPC QA!");
1657 }
1658
1659 if (mQATasks & taskTrackStatistics) {
1660 // Fill track statistic histograms
1661 for (uint32_t i = 0; i < nReconstructedTracks; i++) {
1662 const GPUTPCGMMergedTrack& track = mTracking->mIOPtrs.mergedTracks[i];
1663 if (!track.OK()) {
1664 continue;
1665 }
1666 mTracks->Fill(1.f / fabsf(track.GetParam().GetQPt()));
1667 mNCl[0]->Fill(track.NClustersFitted());
1668 uint32_t nClCorrected = 0;
1669 int32_t lastSector = -1, lastRow = -1;
1670 const auto& trackClusters = mTracking->mIOPtrs.mergedTrackHits;
1671 for (uint32_t j = 0; j < track.NClusters(); j++) {
1672 if (trackClusters[track.FirstClusterRef() + j].state & GPUTPCGMMergedTrackHit::flagReject) {
1673 continue;
1674 }
1675 if (trackClusters[track.FirstClusterRef() + j].sector == lastSector && trackClusters[track.FirstClusterRef() + j].row == lastRow) {
1676 continue;
1677 }
1678 if (trackClusters[track.FirstClusterRef() + j].leg != trackClusters[track.FirstClusterRef() + track.NClusters() - 1].leg) {
1679 continue;
1680 }
1681 nClCorrected++;
1682 lastSector = trackClusters[track.FirstClusterRef() + j].sector;
1683 lastRow = trackClusters[track.FirstClusterRef() + j].sector;
1684 }
1685 mNCl[1]->Fill(nClCorrected);
1686 }
1687 if (mClNative && mTracking && mTracking->GetTPCTransformHelper()) {
1688 for (uint32_t i = 0; i < GPUChainTracking::NSECTORS; i++) {
1689 for (uint32_t j = 0; j < GPUCA_ROW_COUNT; j++) {
1690 for (uint32_t k = 0; k < mClNative->nClusters[i][j]; k++) {
1691 const auto& cl = mClNative->clusters[i][j][k];
1692 float x, y, z;
1693 GPUTPCConvertImpl::convert(*mTracking->GetTPCTransformHelper()->getCorrMap(), mTracking->GetParam(), i, j, cl.getPad(), cl.getTime(), x, y, z);
1694 mTracking->GetParam().Sector2Global(i, x, y, z, &x, &y, &z);
1695 mClXY->Fill(x, y);
1696 }
1697 }
1698 }
1699 }
1700
1701 if (QA_TIMING || (mTracking && mTracking->GetProcessingSettings().debugLevel >= 3)) {
1702 GPUInfo("QA Time: Fill track statistics:\t%6.0f us", timer.GetCurrentElapsedTime(true) * 1e6);
1703 }
1704 }
1705
1706 uint32_t nCl = clNative ? clNative->nClustersTotal : mTracking->GetProcessors()->tpcMerger.NMaxClusters();
1707 mClusterCounts.nTotal += nCl;
1708 if (mQATasks & taskClusterCounts) {
1709 for (uint32_t i = 0; i < nCl; i++) {
1710 int32_t attach = mTracking->mIOPtrs.mergedTrackHitAttachment[i];
1711 CHECK_CLUSTER_STATE();
1712
1713 if (mcAvail) {
1714 float totalWeight = 0, weight400 = 0, weight40 = 0;
1715 for (int32_t j = 0; j < GetMCLabelNID(i); j++) {
1716 const auto& label = GetMCLabel(i, j);
1717 if (GetMCLabelID(label) >= 0) {
1718 totalWeight += GetMCLabelWeight(label);
1719 if (GetMCTrackObj(mMCParam, label).pt >= 0.4) {
1720 weight400 += GetMCLabelWeight(label);
1721 }
1722 if (GetMCTrackObj(mMCParam, label).pt <= 0.04) {
1723 weight40 += GetMCLabelWeight(label);
1724 }
1725 }
1726 }
1727 if (totalWeight > 0 && 10.f * weight400 >= totalWeight) {
1728 if (!unattached && !protect && !physics) {
1729 mClusterCounts.nFakeRemove400++;
1730 int32_t totalFake = weight400 < 0.9f * totalWeight;
1731 if (totalFake) {
1732 mClusterCounts.nFullFakeRemove400++;
1733 }
1734 /*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),
1735 (int32_t) lowPt, (int32_t) ((attach & gputpcgmmergertypes::attachGoodLeg) == 0), (int32_t) ((attach & gputpcgmmergertypes::attachTube) && mev200),
1736 (int32_t) ((attach & gputpcgmmergertypes::attachHighIncl) != 0), (int32_t) ((attach & gputpcgmmergertypes::attachTube) != 0), (int32_t) ((attach & gputpcgmmergertypes::attachGood) == 0),
1737 fabsf(qpt) > 0 ? 1.f / qpt : 0.f, id);
1738 for (int32_t j = 0;j < GetMCLabelNID(i);j++)
1739 {
1740 //if (GetMCLabelID(i, j) < 0) break;
1741 printf(" - label%d %6d weight %5d", j, GetMCLabelID(i, j), (int32_t) GetMCLabelWeight(i, j));
1742 if (GetMCLabelID(i, j) >= 0) printf(" - pt %7.2f", mMCParam[GetMCLabelID(i, j)].pt);
1743 else printf(" ");
1744 }
1745 printf("\n");*/
1746 }
1747 mClusterCounts.nAbove400++;
1748 }
1749 if (totalWeight > 0 && weight40 >= 0.9 * totalWeight) {
1750 mClusterCounts.nBelow40++;
1751 if (protect || physics) {
1752 mClusterCounts.nFakeProtect40++;
1753 }
1754 }
1755 }
1756 if (physics) {
1757 mClusterCounts.nPhysics++;
1758 }
1759 if (physics || protect) {
1760 mClusterCounts.nProt++;
1761 }
1762 if (unattached) {
1763 mClusterCounts.nUnattached++;
1764 }
1765 }
1766 }
1767
1768 // Process cluster count statistics
1769 if ((mQATasks & taskClusterCounts) && mConfig.clusterRejectionHistograms) {
1770 DoClusterCounts(nullptr);
1771 mClusterCounts = counts_t();
1772 }
1773
1774 if (QA_TIMING || (mTracking && mTracking->GetProcessingSettings().debugLevel >= 3)) {
1775 GPUInfo("QA Time: Cluster Counts:\t%6.0f us", timer.GetCurrentElapsedTime(true) * 1e6);
1776 }
1777
1778 if (mConfig.dumpToROOT) {
1779 if (!clNative || !mTracking || !mTracking->mIOPtrs.mergedTrackHitAttachment || !mTracking->mIOPtrs.mergedTracks) {
1780 throw std::runtime_error("Cannot dump non o2::tpc::clusterNative clusters, need also hit attachmend and GPU tracks");
1781 }
1782 uint32_t clid = 0;
1783 for (uint32_t i = 0; i < GPUChainTracking::NSECTORS; i++) {
1784 for (uint32_t j = 0; j < GPUCA_ROW_COUNT; j++) {
1785 for (uint32_t k = 0; k < mClNative->nClusters[i][j]; k++) {
1786 const auto& cl = mClNative->clusters[i][j][k];
1787 uint32_t attach = mTracking->mIOPtrs.mergedTrackHitAttachment[clid];
1788 float x = 0, y = 0, z = 0;
1789 if (attach & gputpcgmmergertypes::attachFlagMask) {
1790 uint32_t track = attach & gputpcgmmergertypes::attachTrackMask;
1791 const auto& trk = mTracking->mIOPtrs.mergedTracks[track];
1792 mTracking->GetTPCTransformHelper()->Transform(i, j, cl.getPad(), cl.getTime(), x, y, z, trk.GetParam().GetTZOffset());
1793 mTracking->GetParam().Sector2Global(i, x, y, z, &x, &y, &z);
1794 }
1795 uint32_t extState = mTracking->mIOPtrs.mergedTrackHitStates ? mTracking->mIOPtrs.mergedTrackHitStates[clid] : 0;
1796
1797 if (mConfig.dumpToROOT >= 2) {
1798 GPUTPCGMMergedTrack trk;
1799 GPUTPCGMMergedTrackHit trkHit;
1800 memset((void*)&trk, 0, sizeof(trk));
1801 memset((void*)&trkHit, 0, sizeof(trkHit));
1802 if (attach & gputpcgmmergertypes::attachFlagMask) {
1803 uint32_t track = attach & gputpcgmmergertypes::attachTrackMask;
1804 trk = mTracking->mIOPtrs.mergedTracks[track];
1805 for (uint32_t l = 0; l < trk.NClusters(); l++) {
1806 const auto& tmp = mTracking->mIOPtrs.mergedTrackHits[trk.FirstClusterRef() + l];
1807 if (tmp.num == clid) {
1808 trkHit = tmp;
1809 break;
1810 }
1811 }
1812 }
1813 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");
1814 cldump.Fill(cl, trk, trkHit, attach, extState, x, y, z, i, j, mNEvents - 1);
1815 } else {
1816 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");
1817 cldump.Fill(cl, attach, extState, x, y, z, i, j, mNEvents - 1);
1818 }
1819 clid++;
1820 }
1821 }
1822 }
1823
1824 static auto trkdump = GPUROOTDump<uint32_t, GPUTPCGMMergedTrack>::getNew("nEv", "track", "tracksTree");
1825 for (uint32_t i = 0; i < mTracking->mIOPtrs.nMergedTracks; i++) {
1826 if (mTracking->mIOPtrs.mergedTracks[i].OK()) {
1827 trkdump.Fill(mNEvents - 1, mTracking->mIOPtrs.mergedTracks[i]);
1828 }
1829 }
1830
1831 if (mTracking && mTracking->GetProcessingSettings().createO2Output) {
1832 static auto o2trkdump = GPUROOTDump<uint32_t, o2::tpc::TrackTPC>::getNew("nEv", "track", "tracksO2Tree");
1833 for (uint32_t i = 0; i < mTracking->mIOPtrs.nOutputTracksTPCO2; i++) {
1834 o2trkdump.Fill(mNEvents - 1, mTracking->mIOPtrs.outputTracksTPCO2[i]);
1835 }
1836 }
1837 }
1838 mTrackingScratchBuffer.clear();
1839 mTrackingScratchBuffer.shrink_to_fit();
1840}
1841
1842void GPUQA::GetName(char* fname, int32_t k)
1843{
1844 const int32_t nNewInput = mConfig.inputHistogramsOnly ? 0 : 1;
1845 if (k || mConfig.inputHistogramsOnly || mConfig.name.size()) {
1846 if (!(mConfig.inputHistogramsOnly || k)) {
1847 snprintf(fname, 1024, "%s - ", mConfig.name.c_str());
1848 } else if (mConfig.compareInputNames.size() > (unsigned)(k - nNewInput)) {
1849 snprintf(fname, 1024, "%s - ", mConfig.compareInputNames[k - nNewInput].c_str());
1850 } else {
1851 strcpy(fname, mConfig.compareInputs[k - nNewInput].c_str());
1852 if (strlen(fname) > 5 && strcmp(fname + strlen(fname) - 5, ".root") == 0) {
1853 fname[strlen(fname) - 5] = 0;
1854 }
1855 strcat(fname, " - ");
1856 }
1857 } else {
1858 fname[0] = 0;
1859 }
1860}
1861
1862template <class T>
1863T* GPUQA::GetHist(T*& ee, std::vector<std::unique_ptr<TFile>>& tin, int32_t k, int32_t nNewInput)
1864{
1865 T* e = ee;
1866 if ((mConfig.inputHistogramsOnly || k) && (e = dynamic_cast<T*>(tin[k - nNewInput]->Get(e->GetName()))) == nullptr) {
1867 GPUWarning("Missing histogram in input %s: %s", mConfig.compareInputs[k - nNewInput].c_str(), ee->GetName());
1868 return (nullptr);
1869 }
1870 ee = e;
1871 return (e);
1872}
1873
1874void GPUQA::DrawQAHistogramsCleanup()
1875{
1876 clearGarbagageCollector();
1877}
1878
1879void GPUQA::resetHists()
1880{
1881 if (!mQAInitialized) {
1882 throw std::runtime_error("QA not initialized");
1883 }
1884 if (mHaveExternalHists) {
1885 throw std::runtime_error("Cannot reset external hists");
1886 }
1887 for (auto& h : *mHist1D) {
1888 h.Reset();
1889 }
1890 for (auto& h : *mHist2D) {
1891 h.Reset();
1892 }
1893 for (auto& h : *mHist1Dd) {
1894 h.Reset();
1895 }
1896 for (auto& h : *mHistGraph) {
1897 h = TGraphAsymmErrors();
1898 }
1899 mClusterCounts = counts_t();
1900}
1901
1902int32_t GPUQA::DrawQAHistograms(TObjArray* qcout)
1903{
1904 const auto oldRootIgnoreLevel = gErrorIgnoreLevel;
1905 gErrorIgnoreLevel = kWarning;
1906 if (!mQAInitialized) {
1907 throw std::runtime_error("QA not initialized");
1908 }
1909
1910 if (mTracking && mTracking->GetProcessingSettings().debugLevel >= 2) {
1911 printf("Creating QA Histograms\n");
1912 }
1913
1914 std::vector<Color_t> colorNums(COLORCOUNT);
1915 if (!qcout) {
1916 static int32_t initColorsInitialized = initColors();
1917 (void)initColorsInitialized;
1918 }
1919 for (int32_t i = 0; i < COLORCOUNT; i++) {
1920 colorNums[i] = qcout ? defaultColorNums[i] : mColors[i]->GetNumber();
1921 }
1922
1923 bool mcAvail = mcPresent();
1924 char name[2048], fname[1024];
1925
1926 const int32_t nNewInput = mConfig.inputHistogramsOnly ? 0 : 1;
1927 const int32_t ConfigNumInputs = nNewInput + mConfig.compareInputs.size();
1928
1929 std::vector<std::unique_ptr<TFile>> tin;
1930 for (uint32_t i = 0; i < mConfig.compareInputs.size(); i++) {
1931 tin.emplace_back(std::make_unique<TFile>(mConfig.compareInputs[i].c_str()));
1932 }
1933 std::unique_ptr<TFile> tout = nullptr;
1934 if (mConfig.output.size()) {
1935 tout = std::make_unique<TFile>(mConfig.output.c_str(), "RECREATE");
1936 }
1937
1938 if (mConfig.enableLocalOutput || mConfig.shipToQCAsCanvas) {
1939 float legendSpacingString = 0.025;
1940 for (int32_t i = 0; i < ConfigNumInputs; i++) {
1941 GetName(fname, i);
1942 if (strlen(fname) * 0.006 > legendSpacingString) {
1943 legendSpacingString = strlen(fname) * 0.006;
1944 }
1945 }
1946
1947 // Create Canvas / Pads for Efficiency Histograms
1948 if (mQATasks & taskTrackingEff) {
1949 for (int32_t ii = 0; ii < 6; ii++) {
1950 int32_t i = ii == 5 ? 4 : ii;
1951 snprintf(fname, 1024, "eff_vs_%s_layout", VSPARAMETER_NAMES[ii]);
1952 snprintf(name, 2048, "Efficiency versus %s", VSPARAMETER_NAMES[i]);
1953 mCEff[ii] = createGarbageCollected<TCanvas>(fname, name, 0, 0, 700, 700. * 2. / 3.);
1954 mCEff[ii]->cd();
1955 float dy = 1. / 2.;
1956 mPEff[ii][0] = createGarbageCollected<TPad>("p0", "", 0.0, dy * 0, 0.5, dy * 1);
1957 mPEff[ii][0]->Draw();
1958 mPEff[ii][0]->SetRightMargin(0.04);
1959 mPEff[ii][1] = createGarbageCollected<TPad>("p1", "", 0.5, dy * 0, 1.0, dy * 1);
1960 mPEff[ii][1]->Draw();
1961 mPEff[ii][1]->SetRightMargin(0.04);
1962 mPEff[ii][2] = createGarbageCollected<TPad>("p2", "", 0.0, dy * 1, 0.5, dy * 2 - .001);
1963 mPEff[ii][2]->Draw();
1964 mPEff[ii][2]->SetRightMargin(0.04);
1965 mPEff[ii][3] = createGarbageCollected<TPad>("p3", "", 0.5, dy * 1, 1.0, dy * 2 - .001);
1966 mPEff[ii][3]->Draw();
1967 mPEff[ii][3]->SetRightMargin(0.04);
1968 mLEff[ii] = createGarbageCollected<TLegend>(0.92 - legendSpacingString * 1.45, 0.83 - (0.93 - 0.82) / 2. * (float)ConfigNumInputs, 0.98, 0.849);
1969 SetLegend(mLEff[ii]);
1970 }
1971 }
1972
1973 // Create Canvas / Pads for Resolution Histograms
1974 if (mQATasks & taskTrackingRes) {
1975 for (int32_t ii = 0; ii < 7; ii++) {
1976 int32_t i = ii == 5 ? 4 : ii;
1977 if (ii == 6) {
1978 snprintf(fname, 1024, "res_integral_layout");
1979 snprintf(name, 2048, "Integral Resolution");
1980 } else {
1981 snprintf(fname, 1024, "res_vs_%s_layout", VSPARAMETER_NAMES[ii]);
1982 snprintf(name, 2048, "Resolution versus %s", VSPARAMETER_NAMES[i]);
1983 }
1984 mCRes[ii] = createGarbageCollected<TCanvas>(fname, name, 0, 0, 700, 700. * 2. / 3.);
1985 mCRes[ii]->cd();
1986 gStyle->SetOptFit(1);
1987
1988 float dy = 1. / 2.;
1989 mPRes[ii][3] = createGarbageCollected<TPad>("p0", "", 0.0, dy * 0, 0.5, dy * 1);
1990 mPRes[ii][3]->Draw();
1991 mPRes[ii][3]->SetRightMargin(0.04);
1992 mPRes[ii][4] = createGarbageCollected<TPad>("p1", "", 0.5, dy * 0, 1.0, dy * 1);
1993 mPRes[ii][4]->Draw();
1994 mPRes[ii][4]->SetRightMargin(0.04);
1995 mPRes[ii][0] = createGarbageCollected<TPad>("p2", "", 0.0, dy * 1, 1. / 3., dy * 2 - .001);
1996 mPRes[ii][0]->Draw();
1997 mPRes[ii][0]->SetRightMargin(0.04);
1998 mPRes[ii][0]->SetLeftMargin(0.15);
1999 mPRes[ii][1] = createGarbageCollected<TPad>("p3", "", 1. / 3., dy * 1, 2. / 3., dy * 2 - .001);
2000 mPRes[ii][1]->Draw();
2001 mPRes[ii][1]->SetRightMargin(0.04);
2002 mPRes[ii][1]->SetLeftMargin(0.135);
2003 mPRes[ii][2] = createGarbageCollected<TPad>("p4", "", 2. / 3., dy * 1, 1.0, dy * 2 - .001);
2004 mPRes[ii][2]->Draw();
2005 mPRes[ii][2]->SetRightMargin(0.06);
2006 mPRes[ii][2]->SetLeftMargin(0.135);
2007 if (ii < 6) {
2008 mLRes[ii] = createGarbageCollected<TLegend>(0.9 - legendSpacingString * 1.45, 0.93 - (0.93 - 0.86) / 2. * (float)ConfigNumInputs, 0.98, 0.949);
2009 SetLegend(mLRes[ii]);
2010 }
2011 }
2012 }
2013
2014 // Create Canvas / Pads for Pull Histograms
2015 if (mQATasks & taskTrackingResPull) {
2016 for (int32_t ii = 0; ii < 7; ii++) {
2017 int32_t i = ii == 5 ? 4 : ii;
2018
2019 if (ii == 6) {
2020 snprintf(fname, 1024, "pull_integral_layout");
2021 snprintf(name, 2048, "Integral Pull");
2022 } else {
2023 snprintf(fname, 1024, "pull_vs_%s_layout", VSPARAMETER_NAMES[ii]);
2024 snprintf(name, 2048, "Pull versus %s", VSPARAMETER_NAMES[i]);
2025 }
2026 mCPull[ii] = createGarbageCollected<TCanvas>(fname, name, 0, 0, 700, 700. * 2. / 3.);
2027 mCPull[ii]->cd();
2028 gStyle->SetOptFit(1);
2029
2030 float dy = 1. / 2.;
2031 mPPull[ii][3] = createGarbageCollected<TPad>("p0", "", 0.0, dy * 0, 0.5, dy * 1);
2032 mPPull[ii][3]->Draw();
2033 mPPull[ii][3]->SetRightMargin(0.04);
2034 mPPull[ii][4] = createGarbageCollected<TPad>("p1", "", 0.5, dy * 0, 1.0, dy * 1);
2035 mPPull[ii][4]->Draw();
2036 mPPull[ii][4]->SetRightMargin(0.04);
2037 mPPull[ii][0] = createGarbageCollected<TPad>("p2", "", 0.0, dy * 1, 1. / 3., dy * 2 - .001);
2038 mPPull[ii][0]->Draw();
2039 mPPull[ii][0]->SetRightMargin(0.04);
2040 mPPull[ii][0]->SetLeftMargin(0.15);
2041 mPPull[ii][1] = createGarbageCollected<TPad>("p3", "", 1. / 3., dy * 1, 2. / 3., dy * 2 - .001);
2042 mPPull[ii][1]->Draw();
2043 mPPull[ii][1]->SetRightMargin(0.04);
2044 mPPull[ii][1]->SetLeftMargin(0.135);
2045 mPPull[ii][2] = createGarbageCollected<TPad>("p4", "", 2. / 3., dy * 1, 1.0, dy * 2 - .001);
2046 mPPull[ii][2]->Draw();
2047 mPPull[ii][2]->SetRightMargin(0.06);
2048 mPPull[ii][2]->SetLeftMargin(0.135);
2049 if (ii < 6) {
2050 mLPull[ii] = createGarbageCollected<TLegend>(0.9 - legendSpacingString * 1.45, 0.93 - (0.93 - 0.86) / 2. * (float)ConfigNumInputs, 0.98, 0.949);
2051 SetLegend(mLPull[ii]);
2052 }
2053 }
2054 }
2055
2056 // Create Canvas for Cluster Histos
2057 if (mQATasks & taskClusterAttach) {
2058 for (int32_t i = 0; i < 3; i++) {
2059 snprintf(fname, 1024, "clusters_%s_layout", CLUSTER_TYPES[i]);
2060 mCClust[i] = createGarbageCollected<TCanvas>(fname, CLUSTER_TITLES[i], 0, 0, 700, 700. * 2. / 3.);
2061 mCClust[i]->cd();
2062 mPClust[i] = createGarbageCollected<TPad>("p0", "", 0.0, 0.0, 1.0, 1.0);
2063 mPClust[i]->Draw();
2064 float y1 = i != 1 ? 0.77 : 0.27, y2 = i != 1 ? 0.9 : 0.42;
2065 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);
2066 SetLegend(mLClust[i]);
2067 }
2068 }
2069
2070 // Create Canvas for track statistic histos
2071 if (mQATasks & taskTrackStatistics) {
2072 mCTracks = createGarbageCollected<TCanvas>("ctracks", "Track Pt", 0, 0, 700, 700. * 2. / 3.);
2073 mCTracks->cd();
2074 mPTracks = createGarbageCollected<TPad>("p0", "", 0.0, 0.0, 1.0, 1.0);
2075 mPTracks->Draw();
2076 mLTracks = createGarbageCollected<TLegend>(0.9 - legendSpacingString * 1.45, 0.93 - (0.93 - 0.86) / 2. * (float)ConfigNumInputs, 0.98, 0.949);
2077 SetLegend(mLTracks);
2078
2079 for (int32_t i = 0; i < 2; i++) {
2080 snprintf(name, 2048, "cncl%d Pull", i);
2081 mCNCl[i] = createGarbageCollected<TCanvas>(name, i ? "Number of clusters (corrected for multiple per row)" : "Number of clusters per track", 0, 0, 700, 700. * 2. / 3.);
2082 mCNCl[i]->cd();
2083 mPNCl[i] = createGarbageCollected<TPad>("p0", "", 0.0, 0.0, 1.0, 1.0);
2084 mPNCl[i]->Draw();
2085 mLNCl[i] = createGarbageCollected<TLegend>(0.9 - legendSpacingString * 1.45, 0.93 - (0.93 - 0.86) / 2. * (float)ConfigNumInputs, 0.98, 0.949);
2086 SetLegend(mLNCl[i]);
2087 }
2088
2089 mCClXY = createGarbageCollected<TCanvas>("clxy", "Number of clusters per X / Y", 0, 0, 700, 700. * 2. / 3.);
2090 mCClXY->cd();
2091 mPClXY = createGarbageCollected<TPad>("p0", "", 0.0, 0.0, 1.0, 1.0);
2092 mPClXY->Draw();
2093 }
2094 }
2095
2096 if (mConfig.enableLocalOutput && !mConfig.inputHistogramsOnly && (mQATasks & taskTrackingEff) && mcPresent()) {
2097 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(),
2098 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(),
2099 (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(),
2100 (int32_t)mRes2[0][3]->GetEntries(), (int32_t)mRes2[0][4]->GetEntries());
2101 }
2102
2103 int32_t flagShowVsPtLog = (mConfig.enableLocalOutput || mConfig.shipToQCAsCanvas) ? 1 : 0;
2104
2105 if (mQATasks & taskTrackingEff) {
2106 // Process / Draw Efficiency Histograms
2107 for (int32_t ii = 0; ii < 5 + flagShowVsPtLog; ii++) {
2108 int32_t i = ii == 5 ? 4 : ii;
2109 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2110 for (int32_t j = 0; j < 4; j++) {
2111 if (mConfig.enableLocalOutput || mConfig.shipToQCAsCanvas) {
2112 mPEff[ii][j]->cd();
2113 if (ii == 5) {
2114 mPEff[ii][j]->SetLogx();
2115 }
2116 }
2117 for (int32_t l = 0; l < 3; l++) {
2118 if (k == 0 && mConfig.inputHistogramsOnly == 0 && ii != 5) {
2119 if (l == 0) {
2120 // Divide eff, compute all for fake/clone
2121 auto oldLevel = gErrorIgnoreLevel;
2122 gErrorIgnoreLevel = kError;
2123 mEffResult[0][j / 2][j % 2][i]->Divide(mEff[l][j / 2][j % 2][i], mEff[3][j / 2][j % 2][i], "cl=0.683 b(1,1) mode");
2124 gErrorIgnoreLevel = oldLevel;
2125 mEff[3][j / 2][j % 2][i]->Reset(); // Sum up rec + clone + fake for clone/fake rate
2126 mEff[3][j / 2][j % 2][i]->Add(mEff[0][j / 2][j % 2][i]);
2127 mEff[3][j / 2][j % 2][i]->Add(mEff[1][j / 2][j % 2][i]);
2128 mEff[3][j / 2][j % 2][i]->Add(mEff[2][j / 2][j % 2][i]);
2129 } else {
2130 // Divide fake/clone
2131 auto oldLevel = gErrorIgnoreLevel;
2132 gErrorIgnoreLevel = kError;
2133 mEffResult[l][j / 2][j % 2][i]->Divide(mEff[l][j / 2][j % 2][i], mEff[3][j / 2][j % 2][i], "cl=0.683 b(1,1) mode");
2134 gErrorIgnoreLevel = oldLevel;
2135 }
2136 }
2137
2138 TGraphAsymmErrors* e = mEffResult[l][j / 2][j % 2][i];
2139
2140 if (!mConfig.inputHistogramsOnly && k == 0) {
2141 if (tout) {
2142 mEff[l][j / 2][j % 2][i]->Write();
2143 e->Write();
2144 if (l == 2) {
2145 mEff[3][j / 2][j % 2][i]->Write(); // Store also all histogram!
2146 }
2147 }
2148 } else if (GetHist(e, tin, k, nNewInput) == nullptr) {
2149 continue;
2150 }
2151 e->SetTitle(EFFICIENCY_TITLES[j]);
2152 e->GetYaxis()->SetTitle("(Efficiency)");
2153 e->GetXaxis()->SetTitle(XAXIS_TITLES[i]);
2154
2155 e->SetLineWidth(1);
2156 e->SetLineStyle(CONFIG_DASHED_MARKERS ? k + 1 : 1);
2157 SetAxisSize(e);
2158 if (qcout && !mConfig.shipToQCAsCanvas) {
2159 qcout->Add(e);
2160 }
2161 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2162 continue;
2163 }
2164 e->SetMarkerColor(kBlack);
2165 e->SetLineColor(colorNums[(l == 2 ? (ConfigNumInputs * 2 + k) : (k * 2 + l)) % COLORCOUNT]);
2166 e->GetHistogram()->GetYaxis()->SetRangeUser(-0.02, 1.02);
2167 e->Draw(k || l ? "same P" : "AP");
2168 if (j == 0) {
2169 GetName(fname, k);
2170 snprintf(name, 2048, "%s%s", fname, EFF_NAMES[l]);
2171 mLEff[ii]->AddEntry(e, name, "l");
2172 }
2173 }
2174 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2175 continue;
2176 }
2177 mCEff[ii]->cd();
2178 ChangePadTitleSize(mPEff[ii][j], 0.056);
2179 }
2180 }
2181 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2182 continue;
2183 }
2184
2185 mLEff[ii]->Draw();
2186
2187 if (qcout) {
2188 qcout->Add(mCEff[ii]);
2189 }
2190 if (!mConfig.enableLocalOutput) {
2191 continue;
2192 }
2193 doPerfFigure(0.2, 0.295, 0.025);
2194 mCEff[ii]->Print(Form("plots/eff_vs_%s.pdf", VSPARAMETER_NAMES[ii]));
2195 if (mConfig.writeRootFiles) {
2196 mCEff[ii]->Print(Form("plots/eff_vs_%s.root", VSPARAMETER_NAMES[ii]));
2197 }
2198 }
2199 }
2200
2201 if (mQATasks & (taskTrackingRes | taskTrackingResPull)) {
2202 // Process / Draw Resolution Histograms
2203 TH1D *resIntegral[5] = {}, *pullIntegral[5] = {};
2204 TCanvas* cfit = nullptr;
2205 std::unique_ptr<TF1> customGaus = std::make_unique<TF1>("G", "[0]*exp(-(x-[1])*(x-[1])/(2.*[2]*[2]))");
2206 for (int32_t p = 0; p < 2; p++) {
2207 if ((p == 0 && (mQATasks & taskTrackingRes) == 0) || (p == 1 && (mQATasks & taskTrackingResPull) == 0)) {
2208 continue;
2209 }
2210 for (int32_t ii = 0; ii < 5 + flagShowVsPtLog; ii++) {
2211 TCanvas* can = p ? mCPull[ii] : mCRes[ii];
2212 TLegend* leg = p ? mLPull[ii] : mLRes[ii];
2213 int32_t i = ii == 5 ? 4 : ii;
2214 for (int32_t j = 0; j < 5; j++) {
2215 TH2F* src = p ? mPull2[j][i] : mRes2[j][i];
2216 TH1F** dst = p ? mPull[j][i] : mRes[j][i];
2217 TH1D*& dstIntegral = p ? pullIntegral[j] : resIntegral[j];
2218 TPad* pad = p ? mPPull[ii][j] : mPRes[ii][j];
2219
2220 if (!mConfig.inputHistogramsOnly && ii != 5) {
2221 if (cfit == nullptr) {
2222 cfit = createGarbageCollected<TCanvas>();
2223 }
2224 cfit->cd();
2225
2226 TAxis* axis = src->GetYaxis();
2227 int32_t nBins = axis->GetNbins();
2228 int32_t integ = 1;
2229 for (int32_t bin = 1; bin <= nBins; bin++) {
2230 int32_t bin0 = std::max(bin - integ, 0);
2231 int32_t bin1 = std::min(bin + integ, nBins);
2232 std::unique_ptr<TH1D> proj{src->ProjectionX("proj", bin0, bin1)};
2233 proj->ClearUnderflowAndOverflow();
2234 if (proj->GetEntries()) {
2235 uint32_t rebin = 1;
2236 while (proj->GetMaximum() < 50 && rebin < sizeof(RES_AXIS_BINS) / sizeof(RES_AXIS_BINS[0])) {
2237 proj->Rebin(RES_AXIS_BINS[rebin - 1] / RES_AXIS_BINS[rebin]);
2238 rebin++;
2239 }
2240
2241 if (proj->GetEntries() < 20 || proj->GetRMS() < 0.00001) {
2242 dst[0]->SetBinContent(bin, proj->GetRMS());
2243 dst[0]->SetBinError(bin, std::sqrt(proj->GetRMS()));
2244 dst[1]->SetBinContent(bin, proj->GetMean());
2245 dst[1]->SetBinError(bin, std::sqrt(proj->GetRMS()));
2246 } else {
2247 proj->GetXaxis()->SetRange(0, 0);
2248 proj->GetXaxis()->SetRangeUser(std::max(proj->GetXaxis()->GetXmin(), proj->GetMean() - 3. * proj->GetRMS()), std::min(proj->GetXaxis()->GetXmax(), proj->GetMean() + 3. * proj->GetRMS()));
2249 bool forceLogLike = proj->GetMaximum() < 20;
2250 for (int32_t k = forceLogLike ? 2 : 0; k < 3; k++) {
2251 proj->Fit("gaus", forceLogLike || k == 2 ? "sQl" : k ? "sQww" : "sQ");
2252 TF1* fitFunc = proj->GetFunction("gaus");
2253
2254 if (k && !forceLogLike) {
2255 customGaus->SetParameters(fitFunc->GetParameter(0), fitFunc->GetParameter(1), fitFunc->GetParameter(2));
2256 proj->Fit(customGaus.get(), "sQ");
2257 fitFunc = customGaus.get();
2258 }
2259
2260 const float sigma = fabs(fitFunc->GetParameter(2));
2261 dst[0]->SetBinContent(bin, sigma);
2262 dst[1]->SetBinContent(bin, fitFunc->GetParameter(1));
2263 dst[0]->SetBinError(bin, fitFunc->GetParError(2));
2264 dst[1]->SetBinError(bin, fitFunc->GetParError(1));
2265
2266 const bool fail1 = sigma <= 0.f;
2267 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());
2268 const bool fail3 = dst[0]->GetBinContent(bin) > 3.f * proj->GetRMS() || dst[0]->GetBinError(bin) > 1 || dst[1]->GetBinError(bin) > 1;
2269 const bool fail4 = fitFunc->GetParameter(0) < proj->GetMaximum() / 5.;
2270 const bool fail = fail1 || fail2 || fail3 || fail4;
2271 // 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), "");
2272
2273 if (!fail) {
2274 break;
2275 } else if (k >= 2) {
2276 dst[0]->SetBinContent(bin, proj->GetRMS());
2277 dst[0]->SetBinError(bin, std::sqrt(proj->GetRMS()));
2278 dst[1]->SetBinContent(bin, proj->GetMean());
2279 dst[1]->SetBinError(bin, std::sqrt(proj->GetRMS()));
2280 }
2281 }
2282 }
2283 } else {
2284 dst[0]->SetBinContent(bin, 0.f);
2285 dst[0]->SetBinError(bin, 0.f);
2286 dst[1]->SetBinContent(bin, 0.f);
2287 dst[1]->SetBinError(bin, 0.f);
2288 }
2289 }
2290 if (ii == 0) {
2291 dstIntegral = src->ProjectionX(mConfig.nativeFitResolutions ? PARAMETER_NAMES_NATIVE[j] : PARAMETER_NAMES[j], 0, nBins + 1);
2292 uint32_t rebin = 1;
2293 while (dstIntegral->GetMaximum() < 50 && rebin < sizeof(RES_AXIS_BINS) / sizeof(RES_AXIS_BINS[0])) {
2294 dstIntegral->Rebin(RES_AXIS_BINS[rebin - 1] / RES_AXIS_BINS[rebin]);
2295 rebin++;
2296 }
2297 }
2298 }
2299 if (ii == 0) {
2300 if (mConfig.inputHistogramsOnly) {
2301 dstIntegral = createGarbageCollected<TH1D>();
2302 }
2303 snprintf(fname, 1024, p ? "IntPull%s" : "IntRes%s", VSPARAMETER_NAMES[j]);
2304 snprintf(name, 2048, p ? "%s Pull" : "%s Resolution", p || mConfig.nativeFitResolutions ? PARAMETER_NAMES_NATIVE[j] : PARAMETER_NAMES[j]);
2305 dstIntegral->SetName(fname);
2306 dstIntegral->SetTitle(name);
2307 }
2308 if (mConfig.enableLocalOutput || mConfig.shipToQCAsCanvas) {
2309 pad->cd();
2310 }
2311 int32_t numColor = 0;
2312 float tmpMax = -1000.;
2313 float tmpMin = 1000.;
2314
2315 for (int32_t l = 0; l < 2; l++) {
2316 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2317 TH1F* e = dst[l];
2318 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2319 continue;
2320 }
2321 if (nNewInput && k == 0 && ii != 5) {
2322 if (p == 0) {
2323 e->Scale(mConfig.nativeFitResolutions ? SCALE_NATIVE[j] : SCALE[j]);
2324 }
2325 }
2326 if (ii == 4) {
2327 e->GetXaxis()->SetRangeUser(0.2, PT_MAX);
2328 } else if (LOG_PT_MIN > 0 && ii == 5) {
2329 e->GetXaxis()->SetRangeUser(LOG_PT_MIN, PT_MAX);
2330 } else if (ii == 5) {
2331 e->GetXaxis()->SetRange(1, 0);
2332 }
2333 e->SetMinimum(-1111);
2334 e->SetMaximum(-1111);
2335
2336 if (e->GetMaximum() > tmpMax) {
2337 tmpMax = e->GetMaximum();
2338 }
2339 if (e->GetMinimum() < tmpMin) {
2340 tmpMin = e->GetMinimum();
2341 }
2342 }
2343 }
2344
2345 float tmpSpan;
2346 tmpSpan = tmpMax - tmpMin;
2347 tmpMax += tmpSpan * .02;
2348 tmpMin -= tmpSpan * .02;
2349 if (j == 2 && i < 3) {
2350 tmpMax += tmpSpan * 0.13 * ConfigNumInputs;
2351 }
2352
2353 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2354 for (int32_t l = 0; l < 2; l++) {
2355 TH1F* e = dst[l];
2356 if (!mConfig.inputHistogramsOnly && k == 0) {
2357 snprintf(name, 2048, p ? "%s Pull" : "%s Resolution", p || mConfig.nativeFitResolutions ? PARAMETER_NAMES_NATIVE[j] : PARAMETER_NAMES[j]);
2358 e->SetTitle(name);
2359 e->SetStats(kFALSE);
2360 if (tout) {
2361 if (l == 0) {
2362 mRes2[j][i]->SetOption("colz");
2363 mRes2[j][i]->Write();
2364 }
2365 e->Write();
2366 }
2367 } else if (GetHist(e, tin, k, nNewInput) == nullptr) {
2368 continue;
2369 }
2370 e->SetMaximum(tmpMax);
2371 e->SetMinimum(tmpMin);
2372 e->SetLineWidth(1);
2373 e->SetLineStyle(CONFIG_DASHED_MARKERS ? k + 1 : 1);
2374 SetAxisSize(e);
2375 e->GetYaxis()->SetTitle(p ? AXIS_TITLES_PULL[j] : mConfig.nativeFitResolutions ? AXIS_TITLES_NATIVE[j] : AXIS_TITLES[j]);
2376 e->GetXaxis()->SetTitle(XAXIS_TITLES[i]);
2377 if (LOG_PT_MIN > 0 && ii == 5) {
2378 e->GetXaxis()->SetRangeUser(LOG_PT_MIN, PT_MAX);
2379 }
2380
2381 if (j == 0) {
2382 e->GetYaxis()->SetTitleOffset(1.5);
2383 } else if (j < 3) {
2384 e->GetYaxis()->SetTitleOffset(1.4);
2385 }
2386 if (qcout && !mConfig.shipToQCAsCanvas) {
2387 qcout->Add(e);
2388 }
2389 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2390 continue;
2391 }
2392
2393 e->SetMarkerColor(kBlack);
2394 e->SetLineColor(colorNums[numColor++ % COLORCOUNT]);
2395 e->Draw(k || l ? "same" : "");
2396 if (j == 0) {
2397 GetName(fname, k);
2398 if (p) {
2399 snprintf(name, 2048, "%s%s", fname, l ? "Mean" : "Pull");
2400 } else {
2401 snprintf(name, 2048, "%s%s", fname, l ? "Mean" : "Resolution");
2402 }
2403 leg->AddEntry(e, name, "l");
2404 }
2405 }
2406 }
2407 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2408 continue;
2409 }
2410
2411 if (ii == 5) {
2412 pad->SetLogx();
2413 }
2414 can->cd();
2415 if (j == 4) {
2416 ChangePadTitleSize(pad, 0.056);
2417 }
2418 }
2419 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2420 continue;
2421 }
2422
2423 leg->Draw();
2424
2425 if (qcout) {
2426 qcout->Add(can);
2427 }
2428 if (!mConfig.enableLocalOutput) {
2429 continue;
2430 }
2431 doPerfFigure(0.2, 0.295, 0.025);
2432 can->Print(Form(p ? "plots/pull_vs_%s.pdf" : "plots/res_vs_%s.pdf", VSPARAMETER_NAMES[ii]));
2433 if (mConfig.writeRootFiles) {
2434 can->Print(Form(p ? "plots/pull_vs_%s.root" : "plots/res_vs_%s.root", VSPARAMETER_NAMES[ii]));
2435 }
2436 }
2437 }
2438
2439 // Process Integral Resolution Histogreams
2440 for (int32_t p = 0; p < 2; p++) {
2441 if ((p == 0 && (mQATasks & taskTrackingRes) == 0) || (p == 1 && (mQATasks & taskTrackingResPull) == 0)) {
2442 continue;
2443 }
2444 TCanvas* can = p ? mCPull[6] : mCRes[6];
2445 for (int32_t i = 0; i < 5; i++) {
2446 TPad* pad = p ? mPPull[6][i] : mPRes[6][i];
2447 TH1D* hist = p ? pullIntegral[i] : resIntegral[i];
2448 int32_t numColor = 0;
2449 if (mConfig.enableLocalOutput || mConfig.shipToQCAsCanvas) {
2450 pad->cd();
2451 }
2452 if (!mConfig.inputHistogramsOnly && mcAvail) {
2453 TH1D* e = hist;
2454 if (e && e->GetEntries()) {
2455 e->Fit("gaus", "sQ");
2456 }
2457 }
2458
2459 float tmpMax = 0;
2460 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2461 TH1D* e = hist;
2462 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2463 continue;
2464 }
2465 e->SetMaximum(-1111);
2466 if (e->GetMaximum() > tmpMax) {
2467 tmpMax = e->GetMaximum();
2468 }
2469 }
2470
2471 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2472 TH1D* e = hist;
2473 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2474 continue;
2475 }
2476 e->SetMaximum(tmpMax * 1.02);
2477 e->SetMinimum(tmpMax * -0.02);
2478 if (tout && !mConfig.inputHistogramsOnly && k == 0) {
2479 e->Write();
2480 }
2481 if (qcout && !mConfig.shipToQCAsCanvas) {
2482 qcout->Add(e);
2483 }
2484 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2485 continue;
2486 }
2487
2488 e->SetLineColor(colorNums[numColor++ % COLORCOUNT]);
2489 e->Draw(k == 0 ? "" : "same");
2490 }
2491 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2492 continue;
2493 }
2494 can->cd();
2495 }
2496 if (qcout) {
2497 qcout->Add(can);
2498 }
2499 if (!mConfig.enableLocalOutput) {
2500 continue;
2501 }
2502
2503 can->Print(p ? "plots/pull_integral.pdf" : "plots/res_integral.pdf");
2504 if (mConfig.writeRootFiles) {
2505 can->Print(p ? "plots/pull_integral.root" : "plots/res_integral.root");
2506 }
2507 }
2508 }
2509
2510 uint64_t attachClusterCounts[N_CLS_HIST];
2511 if (mQATasks & taskClusterAttach) {
2512 // Process Cluster Attachment Histograms
2513 if (mConfig.inputHistogramsOnly == 0) {
2514 for (int32_t i = N_CLS_HIST; i < N_CLS_TYPE * N_CLS_HIST - 1; i++) {
2515 mClusters[i]->Sumw2(true);
2516 }
2517 double totalVal = 0;
2518 if (!CLUST_HIST_INT_SUM) {
2519 for (int32_t j = 0; j < mClusters[N_CLS_HIST - 1]->GetXaxis()->GetNbins() + 2; j++) {
2520 totalVal += mClusters[N_CLS_HIST - 1]->GetBinContent(j);
2521 }
2522 }
2523 if (totalVal == 0.) {
2524 totalVal = 1.;
2525 }
2526 for (int32_t i = 0; i < N_CLS_HIST; i++) {
2527 double val = 0;
2528 for (int32_t j = 0; j < mClusters[i]->GetXaxis()->GetNbins() + 2; j++) {
2529 val += mClusters[i]->GetBinContent(j);
2530 mClusters[2 * N_CLS_HIST - 1 + i]->SetBinContent(j, val / totalVal);
2531 }
2532 attachClusterCounts[i] = val;
2533 }
2534
2535 if (!CLUST_HIST_INT_SUM) {
2536 for (int32_t i = 0; i < N_CLS_HIST; i++) {
2537 mClusters[2 * N_CLS_HIST - 1 + i]->SetMaximum(1.02);
2538 mClusters[2 * N_CLS_HIST - 1 + i]->SetMinimum(-0.02);
2539 }
2540 }
2541
2542 for (int32_t i = 0; i < N_CLS_HIST - 1; i++) {
2543 auto oldLevel = gErrorIgnoreLevel;
2544 gErrorIgnoreLevel = kError;
2545 mClusters[N_CLS_HIST + i]->Divide(mClusters[i], mClusters[N_CLS_HIST - 1], 1, 1, "B");
2546 gErrorIgnoreLevel = oldLevel;
2547 mClusters[N_CLS_HIST + i]->SetMinimum(-0.02);
2548 mClusters[N_CLS_HIST + i]->SetMaximum(1.02);
2549 }
2550 }
2551
2552 float tmpMax[2] = {0, 0}, tmpMin[2] = {0, 0};
2553 for (int32_t l = 0; l <= CLUST_HIST_INT_SUM; l++) {
2554 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2555 TH1* e = mClusters[l ? (N_CLS_TYPE * N_CLS_HIST - 2) : (N_CLS_HIST - 1)];
2556 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2557 continue;
2558 }
2559 e->SetMinimum(-1111);
2560 e->SetMaximum(-1111);
2561 if (l == 0) {
2562 e->GetXaxis()->SetRange(2, AXIS_BINS[4]);
2563 }
2564 if (e->GetMaximum() > tmpMax[l]) {
2565 tmpMax[l] = e->GetMaximum();
2566 }
2567 if (e->GetMinimum() < tmpMin[l]) {
2568 tmpMin[l] = e->GetMinimum();
2569 }
2570 }
2571 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2572 for (int32_t i = 0; i < N_CLS_HIST; i++) {
2573 TH1* e = mClusters[l ? (2 * N_CLS_HIST - 1 + i) : i];
2574 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2575 continue;
2576 }
2577 e->SetMaximum(tmpMax[l] * 1.02);
2578 e->SetMinimum(tmpMax[l] * -0.02);
2579 }
2580 }
2581 }
2582
2583 for (int32_t i = 0; i < N_CLS_TYPE; i++) {
2584 if (mConfig.enableLocalOutput || mConfig.shipToQCAsCanvas) {
2585 mPClust[i]->cd();
2586 mPClust[i]->SetLogx();
2587 }
2588 int32_t begin = i == 2 ? (2 * N_CLS_HIST - 1) : i == 1 ? N_CLS_HIST : 0;
2589 int32_t end = i == 2 ? (3 * N_CLS_HIST - 1) : i == 1 ? (2 * N_CLS_HIST - 1) : N_CLS_HIST;
2590 int32_t numColor = 0;
2591 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2592 for (int32_t j = end - 1; j >= begin; j--) {
2593 TH1* e = mClusters[j];
2594 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2595 continue;
2596 }
2597
2598 e->SetTitle(CLUSTER_TITLES[i]);
2599 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)");
2600 e->GetXaxis()->SetTitle("#it{p}_{Tmc} (GeV/#it{c})");
2601 e->GetXaxis()->SetTitleOffset(1.1);
2602 e->GetXaxis()->SetLabelOffset(-0.005);
2603 if (tout && !mConfig.inputHistogramsOnly && k == 0) {
2604 e->Write();
2605 }
2606 e->SetStats(kFALSE);
2607 e->SetLineWidth(1);
2608 e->SetLineStyle(CONFIG_DASHED_MARKERS ? j + 1 : 1);
2609 if (i == 0) {
2610 e->GetXaxis()->SetRange(2, AXIS_BINS[4]);
2611 }
2612 if (qcout && !mConfig.shipToQCAsCanvas) {
2613 qcout->Add(e);
2614 }
2615 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2616 continue;
2617 }
2618
2619 e->SetMarkerColor(kBlack);
2620 e->SetLineColor(colorNums[numColor++ % COLORCOUNT]);
2621 e->Draw(j == end - 1 && k == 0 ? "" : "same");
2622 GetName(fname, k);
2623 snprintf(name, 2048, "%s%s", fname, CLUSTER_NAMES[j - begin]);
2624 mLClust[i]->AddEntry(e, name, "l");
2625 }
2626 }
2627 if (ConfigNumInputs == 1) {
2628 TH1* e = reinterpret_cast<TH1F*>(mClusters[begin + CL_att_adj]->Clone());
2629 e->Add(mClusters[begin + CL_prot], -1);
2630 if (qcout && !mConfig.shipToQCAsCanvas) {
2631 qcout->Add(e);
2632 }
2633 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2634 continue;
2635 }
2636
2637 e->SetLineColor(colorNums[numColor++ % COLORCOUNT]);
2638 e->Draw("same");
2639 mLClust[i]->AddEntry(e, "Removed (Strategy A)", "l");
2640 }
2641 if (!mConfig.enableLocalOutput && !mConfig.shipToQCAsCanvas) {
2642 continue;
2643 }
2644
2645 mLClust[i]->Draw();
2646
2647 if (qcout) {
2648 qcout->Add(mCClust[i]);
2649 }
2650 if (!mConfig.enableLocalOutput) {
2651 continue;
2652 }
2653 doPerfFigure(i != 2 ? 0.37 : 0.6, 0.295, 0.030);
2654 mCClust[i]->cd();
2655 mCClust[i]->Print(i == 2 ? "plots/clusters_integral.pdf" : i == 1 ? "plots/clusters_relative.pdf" : "plots/clusters.pdf");
2656 if (mConfig.writeRootFiles) {
2657 mCClust[i]->Print(i == 2 ? "plots/clusters_integral.root" : i == 1 ? "plots/clusters_relative.root" : "plots/clusters.root");
2658 }
2659 }
2660 }
2661
2662 // Process cluster count statistics
2663 if ((mQATasks & taskClusterCounts) && !mHaveExternalHists && !mConfig.clusterRejectionHistograms && !mConfig.inputHistogramsOnly) {
2664 DoClusterCounts(attachClusterCounts);
2665 }
2666 if ((qcout || tout) && (mQATasks & taskClusterCounts) && mConfig.clusterRejectionHistograms) {
2667 for (uint32_t i = 0; i < mHistClusterCount.size(); i++) {
2668 if (tout) {
2669 mHistClusterCount[i]->Write();
2670 }
2671 if (qcout) {
2672 qcout->Add(mHistClusterCount[i]);
2673 }
2674 }
2675 }
2676
2677 if (mQATasks & taskTrackStatistics) {
2678 // Process track statistic histograms
2679 float tmpMax = 0.;
2680 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2681 TH1F* e = mTracks;
2682 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2683 continue;
2684 }
2685 e->SetMaximum(-1111);
2686 if (e->GetMaximum() > tmpMax) {
2687 tmpMax = e->GetMaximum();
2688 }
2689 }
2690 mPTracks->cd();
2691 mPTracks->SetLogx();
2692 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2693 TH1F* e = mTracks;
2694 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2695 continue;
2696 }
2697 if (tout && !mConfig.inputHistogramsOnly && k == 0) {
2698 e->Write();
2699 }
2700 e->SetMaximum(tmpMax * 1.02);
2701 e->SetMinimum(tmpMax * -0.02);
2702 e->SetStats(kFALSE);
2703 e->SetLineWidth(1);
2704 e->GetYaxis()->SetTitle("a.u.");
2705 e->GetXaxis()->SetTitle("#it{p}_{Tmc} (GeV/#it{c})");
2706 if (qcout) {
2707 qcout->Add(e);
2708 }
2709 e->SetMarkerColor(kBlack);
2710 e->SetLineColor(colorNums[k % COLORCOUNT]);
2711 e->Draw(k == 0 ? "" : "same");
2712 GetName(fname, k);
2713 snprintf(name, 2048, "%sTrack Pt", fname);
2714 mLTracks->AddEntry(e, name, "l");
2715 }
2716 mLTracks->Draw();
2717 mCTracks->cd();
2718 mCTracks->Print("plots/tracks.pdf");
2719 if (mConfig.writeRootFiles) {
2720 mCTracks->Print("plots/tracks.root");
2721 }
2722
2723 for (int32_t i = 0; i < 2; i++) {
2724 tmpMax = 0.;
2725 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2726 TH1F* e = mNCl[i];
2727 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2728 continue;
2729 }
2730 e->SetMaximum(-1111);
2731 if (e->GetMaximum() > tmpMax) {
2732 tmpMax = e->GetMaximum();
2733 }
2734 }
2735 mPNCl[i]->cd();
2736 for (int32_t k = 0; k < ConfigNumInputs; k++) {
2737 TH1F* e = mNCl[i];
2738 if (GetHist(e, tin, k, nNewInput) == nullptr) {
2739 continue;
2740 }
2741 if (tout && !mConfig.inputHistogramsOnly && k == 0) {
2742 e->Write();
2743 }
2744 e->SetMaximum(tmpMax * 1.02);
2745 e->SetMinimum(tmpMax * -0.02);
2746 e->SetStats(kFALSE);
2747 e->SetLineWidth(1);
2748 e->GetYaxis()->SetTitle("a.u.");
2749 e->GetXaxis()->SetTitle("NClusters");
2750 if (qcout) {
2751 qcout->Add(e);
2752 }
2753 e->SetMarkerColor(kBlack);
2754 e->SetLineColor(colorNums[k % COLORCOUNT]);
2755 e->Draw(k == 0 ? "" : "same");
2756 GetName(fname, k);
2757 snprintf(name, 2048, "%sNClusters%d", fname, i);
2758 mLNCl[i]->AddEntry(e, name, "l");
2759 }
2760 mLNCl[i]->Draw();
2761 mCNCl[i]->cd();
2762 snprintf(name, 2048, "plots/nClusters%s.pdf", i ? "_corrected" : "");
2763 mCNCl[i]->Print(name);
2764 if (mConfig.writeRootFiles) {
2765 snprintf(name, 2048, "plots/nClusters%s.root", i ? "_corrected" : "");
2766 mCNCl[i]->Print(name);
2767 }
2768 }
2769
2770 mPClXY->cd();
2771 mClXY->SetOption("colz");
2772 mClXY->Draw();
2773 mCClXY->cd();
2774 mCClXY->Print("plots/clustersXY.pdf");
2775 if (mConfig.writeRootFiles) {
2776 mCClXY->Print("plots/clustersXY.root");
2777 }
2778 }
2779
2780 if (tout && !mConfig.inputHistogramsOnly && mConfig.writeMCLabels) {
2781 gInterpreter->GenerateDictionary("vector<vector<int32_t>>", "");
2782 tout->WriteObject(&mcEffBuffer, "mcEffBuffer");
2783 tout->WriteObject(&mcLabelBuffer, "mcLabelBuffer");
2784 remove("AutoDict_vector_vector_int__.cxx");
2785 remove("AutoDict_vector_vector_int___cxx_ACLiC_dict_rdict.pcm");
2786 remove("AutoDict_vector_vector_int___cxx.d");
2787 remove("AutoDict_vector_vector_int___cxx.so");
2788 }
2789
2790 if (tout) {
2791 tout->Close();
2792 }
2793 for (uint32_t i = 0; i < mConfig.compareInputs.size(); i++) {
2794 tin[i]->Close();
2795 }
2796 if (!qcout) {
2797 clearGarbagageCollector();
2798 }
2799 GPUInfo("GPU TPC QA histograms have been written to %s files", mConfig.writeRootFiles ? ".pdf and .root" : ".pdf");
2800 gErrorIgnoreLevel = oldRootIgnoreLevel;
2801 return (0);
2802}
2803
2804void GPUQA::PrintClusterCount(int32_t mode, int32_t& num, const char* name, uint64_t n, uint64_t normalization)
2805{
2806 if (mode == 2) {
2807 // do nothing, just count num
2808 } else if (mode == 1) {
2809 char name2[128];
2810 snprintf(name2, 128, "clusterCount%d_", num);
2811 char* ptr = name2 + strlen(name2);
2812 for (uint32_t i = 0; i < strlen(name); i++) {
2813 if ((name[i] >= 'a' && name[i] <= 'z') || (name[i] >= 'A' && name[i] <= 'Z') || (name[i] >= '0' && name[i] <= '9')) {
2814 *(ptr++) = name[i];
2815 }
2816 }
2817 *ptr = 0;
2818 createHist(mHistClusterCount[num], name2, name, 1000, 0, mConfig.histMaxNClusters, 1000, 0, 100);
2819 } else if (mode == 0) {
2820 if (normalization && mConfig.enableLocalOutput) {
2821 printf("\t%35s: %'12" PRIu64 " (%6.2f%%)\n", name, n, 100.f * n / normalization);
2822 }
2823 if (mConfig.clusterRejectionHistograms) {
2824 float ratio = 100.f * n / std::max<uint64_t>(normalization, 1);
2825 mHistClusterCount[num]->Fill(normalization, ratio, 1);
2826 }
2827 }
2828 num++;
2829}
2830
2831int32_t GPUQA::DoClusterCounts(uint64_t* attachClusterCounts, int32_t mode)
2832{
2833 int32_t num = 0;
2834 if (mcPresent() && (mQATasks & taskClusterAttach) && attachClusterCounts) {
2835 for (int32_t i = 0; i < N_CLS_HIST; i++) {
2836 PrintClusterCount(mode, num, CLUSTER_NAMES[i], attachClusterCounts[i], mClusterCounts.nTotal);
2837 }
2838 PrintClusterCount(mode, num, "Unattached", attachClusterCounts[N_CLS_HIST - 1] - attachClusterCounts[CL_att_adj], mClusterCounts.nTotal);
2839 PrintClusterCount(mode, num, "Removed (Strategy A)", attachClusterCounts[CL_att_adj] - attachClusterCounts[CL_prot], mClusterCounts.nTotal); // Attached + Adjacent (also fake) - protected
2840 PrintClusterCount(mode, num, "Unaccessible", mClusterCounts.nUnaccessible, mClusterCounts.nTotal); // No contribution from track >= 10 MeV, unattached or fake-attached/adjacent
2841 } else {
2842 PrintClusterCount(mode, num, "All Clusters", mClusterCounts.nTotal, mClusterCounts.nTotal);
2843 PrintClusterCount(mode, num, "Used in Physics", mClusterCounts.nPhysics, mClusterCounts.nTotal);
2844 PrintClusterCount(mode, num, "Protected", mClusterCounts.nProt, mClusterCounts.nTotal);
2845 PrintClusterCount(mode, num, "Unattached", mClusterCounts.nUnattached, mClusterCounts.nTotal);
2846 PrintClusterCount(mode, num, "Removed (Strategy A)", mClusterCounts.nTotal - mClusterCounts.nUnattached - mClusterCounts.nProt, mClusterCounts.nTotal);
2847 PrintClusterCount(mode, num, "Removed (Strategy B)", mClusterCounts.nTotal - mClusterCounts.nProt, mClusterCounts.nTotal);
2848 }
2849
2850 PrintClusterCount(mode, num, "Merged Loopers (Afterburner)", mClusterCounts.nMergedLooper, mClusterCounts.nTotal);
2851 PrintClusterCount(mode, num, "High Inclination Angle", mClusterCounts.nHighIncl, mClusterCounts.nTotal);
2852 PrintClusterCount(mode, num, "Rejected", mClusterCounts.nRejected, mClusterCounts.nTotal);
2853 PrintClusterCount(mode, num, "Tube (> 200 MeV)", mClusterCounts.nTube, mClusterCounts.nTotal);
2854 PrintClusterCount(mode, num, "Tube (< 200 MeV)", mClusterCounts.nTube200, mClusterCounts.nTotal);
2855 PrintClusterCount(mode, num, "Looping Legs", mClusterCounts.nLoopers, mClusterCounts.nTotal);
2856 PrintClusterCount(mode, num, "Low Pt < 50 MeV", mClusterCounts.nLowPt, mClusterCounts.nTotal);
2857 PrintClusterCount(mode, num, "Low Pt < 200 MeV", mClusterCounts.n200MeV, mClusterCounts.nTotal);
2858
2859 if (mcPresent() && (mQATasks & taskClusterAttach)) {
2860 PrintClusterCount(mode, num, "Tracks > 400 MeV", mClusterCounts.nAbove400, mClusterCounts.nTotal);
2861 PrintClusterCount(mode, num, "Fake Removed (> 400 MeV)", mClusterCounts.nFakeRemove400, mClusterCounts.nAbove400);
2862 PrintClusterCount(mode, num, "Full Fake Removed (> 400 MeV)", mClusterCounts.nFullFakeRemove400, mClusterCounts.nAbove400);
2863 PrintClusterCount(mode, num, "Tracks < 40 MeV", mClusterCounts.nBelow40, mClusterCounts.nTotal);
2864 PrintClusterCount(mode, num, "Fake Protect (< 40 MeV)", mClusterCounts.nFakeProtect40, mClusterCounts.nBelow40);
2865 }
2866 return num;
2867}
2868
2869void* GPUQA::AllocateScratchBuffer(size_t nBytes)
2870{
2871 mTrackingScratchBuffer.resize((nBytes + sizeof(mTrackingScratchBuffer[0]) - 1) / sizeof(mTrackingScratchBuffer[0]));
2872 return mTrackingScratchBuffer.data();
2873}
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
i
int32_t i
Definition GPUCommonAlgorithm.h:431
GPUCA_MIN_TRACK_PTB5_DEFAULT
#define GPUCA_MIN_TRACK_PTB5_DEFAULT
Definition GPUDefConstantsAndSettings.h:38
TRACK_EXPECTED_REFERENCE_X_DEFAULT
#define TRACK_EXPECTED_REFERENCE_X_DEFAULT
Definition GPUQA.cxx:213
TRACK_EXPECTED_REFERENCE_X
#define TRACK_EXPECTED_REFERENCE_X
Definition GPUQA.cxx:266
QA_DEBUG
#define QA_DEBUG
Definition GPUQA.cxx:15
QA_TIMING
#define QA_TIMING
Definition GPUQA.cxx:16
CHECK_CLUSTER_STATE_NOCOUNT
#define CHECK_CLUSTER_STATE_NOCOUNT()
Definition GPUQA.cxx:127
CHECK_CLUSTER_STATE
#define CHECK_CLUSTER_STATE()
Definition GPUQA.cxx:114
Color_t
int16_t Color_t
Definition GPUQA.h:32
chain
GPUChain * chain
Definition GPUReconstruction.cxx:56
leg
uint8_t leg
Definition GPUTPCGMMerger.cxx:1402
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 TTreePlugin.cxx:836
nClusters
int nClusters
Definition bench_Clusterizer.cxx:120
num
double num
Definition bench_Clusterizer.cxx:122
HighResTimer::Start
void Start()
Definition timer.cxx:57
HighResTimer::GetCurrentElapsedTime
double GetCurrentElapsedTime(bool reset=false)
Definition timer.cxx:110
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:57
o2::gpu::GPUQA::ReadO2MCData
int32_t ReadO2MCData(const char *filename)
Definition GPUQA.h:54
o2::gpu::GPUQA::clusterRemovable
bool clusterRemovable(int32_t attach, bool prot) const
Definition GPUQA.h:52
o2::gpu::GPUQA::~GPUQA
~GPUQA()=default
Definition GPUQA.cxx:344
o2::gpu::GPUQA::AllocateScratchBuffer
void * AllocateScratchBuffer(size_t nBytes)
Definition GPUQA.h:55
o2::gpu::GPUQA::SetMCTrackRange
void SetMCTrackRange(int32_t min, int32_t max)
Definition GPUQA.h:47
o2::gpu::GPUQA::GetMCTrackLabel
mcLabelI_t GetMCTrackLabel(uint32_t trackId) const
Definition GPUQA.h:51
o2::gpu::GPUQA::DrawQAHistograms
int32_t DrawQAHistograms()
Definition GPUQA.h:46
o2::gpu::GPUQA::InitQA
int32_t InitQA(int32_t tasks=0)
Definition GPUQA.h:44
o2::gpu::GPUQA::DumpO2MCData
void DumpO2MCData(const char *filename) const
Definition GPUQA.h:53
o2::gpu::GPUQA::mcLabelI_t
int32_t mcLabelI_t
Definition GPUQA.h:43
o2::gpu::GPUQA::RunQA
void RunQA(bool matchOnly=false)
Definition GPUQA.h:45
o2::gpu::GPUQA::GPUQA
GPUQA(void *chain)
Definition GPUQA.h:41
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:277
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
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
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
void
typedef void(APIENTRYP PFNGLCULLFACEPROC)(GLenum mode)
val
GLuint GLfloat * val
Definition glcorearb.h:1582
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::y2
const float3 float float float y2
Definition MathUtils.h:42
o2::its::math_utils::float
const float
Definition MathUtils.h:38
o2::math_utils::detail::s
T & s
Definition trigonometric.h:120
o2::math_utils::detail::T
T
Definition SMatrixGPU.h:747
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::@453 tracks
structure to keep trigger-related info
std
Defining DataPointCompositeObject explicitly as copiable.
Definition CcdbObjectInfo.h:121
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:322
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
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)