forked from PandoraPFA/LArRecoND
-
Notifications
You must be signed in to change notification settings - Fork 0
/
HierarchyAnalysisAlgorithm.cc
533 lines (461 loc) · 30 KB
/
HierarchyAnalysisAlgorithm.cc
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
/**
* @file src/HierarchyAnalysisAlgorithm.cc
*
* @brief Implementation of the hierarchy analysis output algorithm
*
* $Log: $
*/
#include "Pandora/AlgorithmHeaders.h"
#include "HierarchyAnalysisAlgorithm.h"
#include "larpandoracontent/LArHelpers/LArClusterHelper.h"
#include "larpandoracontent/LArHelpers/LArPfoHelper.h"
#include "TFile.h"
#include "TTree.h"
using namespace pandora;
namespace lar_content
{
HierarchyAnalysisAlgorithm::HierarchyAnalysisAlgorithm() :
m_count{-1},
m_event{-1},
m_run{0},
m_subRun{0},
m_startTime{0},
m_endTime{0},
m_eventFileName{""},
m_eventTreeName{"events"},
m_eventLeafName{"event"},
m_runLeafName{"run"},
m_subRunLeafName{"subrun"},
m_startTimeLeafName{"event_start_t"},
m_endTimeLeafName{"event_end_t"},
m_eventsToSkip{0},
m_eventFile{nullptr},
m_eventTree{nullptr},
m_caloHitListName{"CaloHitList2D"},
m_pfoListName{"RecreatedPfos"},
m_analysisFileName{"LArRecoND.root"},
m_analysisTreeName{"LArRecoND"},
m_foldToPrimaries{true},
m_foldDynamic{false},
m_foldToLeadingShowers{false},
m_minPurity{0.5f},
m_minCompleteness{0.1f},
m_minRecoHits{15},
m_minRecoHitsPerView{5},
m_minRecoGoodViews{2},
m_removeRecoNeutrons{true},
m_selectRecoHits{true}
{
}
//------------------------------------------------------------------------------------------------------------------------------------------
HierarchyAnalysisAlgorithm::~HierarchyAnalysisAlgorithm()
{
// Save the analysis output ROOT file. Always recreate this
PANDORA_MONITORING_API(SaveTree(this->GetPandora(), m_analysisTreeName.c_str(), m_analysisFileName.c_str(), "RECREATE"));
// Cleanup ROOT file used for the event numbers
if (m_eventFile && m_eventFile->IsOpen())
{
delete m_eventTree;
m_eventTree = nullptr;
}
delete m_eventFile;
m_eventFile = nullptr;
}
//------------------------------------------------------------------------------------------------------------------------------------------
StatusCode HierarchyAnalysisAlgorithm::Run()
{
// Increment the algorithm run count
++m_count;
// Need to use 2D calo hit list for now since LArHierarchyHelper::MCHierarchy::IsReconstructable()
// checks for minimum number of hits in the U, V & W views only, which will fail for 3D
const CaloHitList *pCaloHitList(nullptr);
PANDORA_RETURN_RESULT_IF(STATUS_CODE_SUCCESS, !=, PandoraContentApi::GetList(*this, m_caloHitListName, pCaloHitList));
const MCParticleList *pMCParticleList(nullptr);
PANDORA_RETURN_RESULT_IF(STATUS_CODE_SUCCESS, !=, PandoraContentApi::GetCurrentList(*this, pMCParticleList));
const PfoList *pPfoList(nullptr);
PANDORA_RETURN_RESULT_IF(STATUS_CODE_SUCCESS, !=, PandoraContentApi::GetList(*this, m_pfoListName, pPfoList));
LArHierarchyHelper::FoldingParameters foldParameters;
if (m_foldToPrimaries)
foldParameters.m_foldToTier = true;
else if (m_foldDynamic)
foldParameters.m_foldDynamic = true;
else if (m_foldToLeadingShowers)
foldParameters.m_foldToLeadingShowers = true;
const LArHierarchyHelper::MCHierarchy::ReconstructabilityCriteria recoCriteria(
m_minRecoHits, m_minRecoHitsPerView, m_minRecoGoodViews, m_removeRecoNeutrons);
LArHierarchyHelper::MCHierarchy mcHierarchy(recoCriteria);
LArHierarchyHelper::FillMCHierarchy(*pMCParticleList, *pCaloHitList, foldParameters, mcHierarchy);
LArHierarchyHelper::RecoHierarchy recoHierarchy;
LArHierarchyHelper::FillRecoHierarchy(*pPfoList, foldParameters, recoHierarchy);
// Enable selection of reco hits once this feature is available in a released version of LArContent
//const LArHierarchyHelper::QualityCuts quality(m_minPurity, m_minCompleteness, m_selectRecoHits);
const LArHierarchyHelper::QualityCuts quality(m_minPurity, m_minCompleteness);
LArHierarchyHelper::MatchInfo matchInfo(mcHierarchy, recoHierarchy, quality);
LArHierarchyHelper::MatchHierarchies(matchInfo);
matchInfo.Print(mcHierarchy);
// Set the event run number and trigger timing info
this->SetEventRunInfo();
// Analysis PFO & matched reco-MC output
this->EventAnalysisOutput(matchInfo);
return STATUS_CODE_SUCCESS;
}
//------------------------------------------------------------------------------------------------------------------------------------------
void HierarchyAnalysisAlgorithm::SetEventRunInfo()
{
// Set the event and run numbers as well as the trigger timing
if (m_eventTree)
{
// This will set m_event
const int iEntry = m_count + m_eventsToSkip;
m_eventTree->GetEntry(iEntry);
}
else
// Use the algorithm run count number
m_event = m_count;
}
//------------------------------------------------------------------------------------------------------------------------------------------
void HierarchyAnalysisAlgorithm::EventAnalysisOutput(const LArHierarchyHelper::MatchInfo &matchInfo) const
{
// For storing various reconstructed PFO quantities in the given event
int sliceId{-1};
// Slice and hits
IntVector sliceIdVect, n3DHitsVect, nUHitsVect, nVHitsVect, nWHitsVect;
// Reco neutrino vertex
FloatVector nuVtxXVect, nuVtxYVect, nuVtxZVect;
// Cluster start, end, direction, PCA axis lengths and total hit energy
FloatVector startXVect, startYVect, startZVect, endXVect, endYVect, endZVect;
FloatVector dirXVect, dirYVect, dirZVect, centroidXVect, centroidYVect, centroidZVect;
FloatVector primaryLVect, secondaryLVect, tertiaryLVect, energyVect;
// Best matched MC info
IntVector matchVect, mcPDGVect, mcIdVect, nSharedHitsVect, isPrimaryVect;
FloatVector completenessVect, purityVect;
// MC matched energy, momentum, vertex and end position
FloatVector mcEVect, mcPxVect, mcPyVect, mcPzVect;
FloatVector mcVtxXVect, mcVtxYVect, mcVtxZVect, mcEndXVect, mcEndYVect, mcEndZVect;
// MC neutrino parent info
IntVector mcNuPDGVect, mcNuIdVect, mcNuCodeVect;
FloatVector mcNuVtxXVect, mcNuVtxYVect, mcNuVtxZVect;
FloatVector mcNuEVect, mcNuPxVect, mcNuPyVect, mcNuPzVect;
// Get the list of root MCParticles for the MC truth matching
MCParticleList rootMCParticles;
matchInfo.GetRootMCParticles(rootMCParticles);
// Get reconstructed root PFOs (neutrinos)
PfoList rootPfos;
const LArHierarchyHelper::RecoHierarchy &recoHierarchy{matchInfo.GetRecoHierarchy()};
recoHierarchy.GetRootPfos(rootPfos);
// Loop over the root PFOs
for (const ParticleFlowObject *const pRoot : rootPfos)
{
// Slice id = root PFO number
++sliceId;
// Get (first) root vertex
const VertexList &rootVertices{pRoot->GetVertexList()};
const Vertex *pRootVertex = (rootVertices.size() > 0) ? (*rootVertices.begin()) : nullptr;
const float max{std::numeric_limits<float>::max()};
const CartesianVector rootRecoVtx = (pRootVertex != nullptr) ? pRootVertex->GetPosition() : CartesianVector(max, max, max);
// Get reco nodes for each root PFO
LArHierarchyHelper::RecoHierarchy::NodeVector recoNodes;
recoHierarchy.GetFlattenedNodes(pRoot, recoNodes);
// Loop over the reco nodes
for (const LArHierarchyHelper::RecoHierarchy::Node *pRecoNode : recoNodes)
{
// Get the list of PFOs for each node
const PfoList recoParticles = pRecoNode->GetRecoParticles();
// Get individual PFOs
for (const ParticleFlowObject *pPfo : recoParticles)
{
// Get the 3D cluster
const Cluster *pCluster3D = this->GetCluster(pPfo, TPC_3D);
if (!pCluster3D)
continue;
// Make sure the cluster has some hits
const int n3DHits(pCluster3D->GetNCaloHits());
if (n3DHits == 0)
continue;
// Cluster starting point vertex.
// Find first and last cluster hit points in case we can't find the vertex position
CartesianVector first(max, max, max), last(max, max, max);
LArClusterHelper::GetExtremalCoordinates(pCluster3D, first, last);
// Get the first vertex if it exists, otherwise use the first hit position
const VertexList &vertices{pPfo->GetVertexList()};
const CartesianVector start = (vertices.size() > 0) ? (*vertices.begin())->GetPosition() : first;
// Principal component analysis of the cluster
CartesianPointVector pointVector;
LArClusterHelper::GetCoordinateVector(pCluster3D, pointVector);
// Use cluster local vertex for relative axis directions
const LArShowerPCA pca = LArPfoHelper::GetPrincipalComponents(pointVector, start);
// Centroid, axis directions and lengths
const CartesianVector centroid{pca.GetCentroid()};
const CartesianVector direction{pca.GetPrimaryAxis()};
const float primaryLength{pca.GetPrimaryLength()};
const float secondaryLength{pca.GetSecondaryLength()};
const float tertiaryLength{pca.GetTertiaryLength()};
// Estimate end-point using starting vertex and length along primary axis
const CartesianVector endPoint = start + direction * primaryLength;
// Cluster deposited energy (all hits assume EM energy = hadronic energy)
const float clusterEnergy{pCluster3D->GetElectromagneticEnergy()};
// Get number of hits in the U, V and W views (if they exist)
const Cluster *pClusterU = this->GetCluster(pPfo, TPC_VIEW_U);
const int nUHits = (pClusterU != nullptr) ? pClusterU->GetNCaloHits() : 0;
const Cluster *pClusterV = this->GetCluster(pPfo, TPC_VIEW_V);
const int nVHits = (pClusterV != nullptr) ? pClusterV->GetNCaloHits() : 0;
const Cluster *pClusterW = this->GetCluster(pPfo, TPC_VIEW_W);
const int nWHits = (pClusterW != nullptr) ? pClusterW->GetNCaloHits() : 0;
// Find best-matched MC particle for this reconstructed cluster
const HierarchyAnalysisAlgorithm::RecoMCMatch bestMatch = GetRecoMCMatch(pRecoNode, matchInfo, rootMCParticles);
// Store quantities in the vectors
sliceIdVect.emplace_back(sliceId);
// Neutrino reco vertex
nuVtxXVect.emplace_back(rootRecoVtx.GetX());
nuVtxYVect.emplace_back(rootRecoVtx.GetY());
nuVtxZVect.emplace_back(rootRecoVtx.GetZ());
// Number of hits in the cluster (by views)
n3DHitsVect.emplace_back(n3DHits);
nUHitsVect.emplace_back(nUHits);
nVHitsVect.emplace_back(nVHits);
nWHitsVect.emplace_back(nWHits);
// Cluster start, end and direction (from PCA)
startXVect.emplace_back(start.GetX());
startYVect.emplace_back(start.GetY());
startZVect.emplace_back(start.GetZ());
endXVect.emplace_back(endPoint.GetX());
endYVect.emplace_back(endPoint.GetY());
endZVect.emplace_back(endPoint.GetZ());
dirXVect.emplace_back(direction.GetX());
dirYVect.emplace_back(direction.GetY());
dirZVect.emplace_back(direction.GetZ());
// Cluster centroid and axis lengths (from PCA)
centroidXVect.emplace_back(centroid.GetX());
centroidYVect.emplace_back(centroid.GetY());
centroidZVect.emplace_back(centroid.GetZ());
primaryLVect.emplace_back(primaryLength);
secondaryLVect.emplace_back(secondaryLength);
tertiaryLVect.emplace_back(tertiaryLength);
// Cluster energy (sum over all hits)
energyVect.emplace_back(clusterEnergy);
// Best matched MC particle
const MCParticle *pLeadingMC = bestMatch.m_pLeadingMC;
const int gotMatch = (pLeadingMC != nullptr) ? 1 : 0;
const int mcPDG = (pLeadingMC != nullptr) ? pLeadingMC->GetParticleId() : 0;
const int mcId = (pLeadingMC != nullptr) ? reinterpret_cast<intptr_t>(pLeadingMC->GetUid()) : 0;
const int isPrimary = (pLeadingMC != nullptr && LArMCParticleHelper::IsPrimary(pLeadingMC)) ? 1 : 0;
const float mcEnergy = (pLeadingMC != nullptr) ? pLeadingMC->GetEnergy() : 0.f;
const CartesianVector mcMomentum = (pLeadingMC != nullptr) ? pLeadingMC->GetMomentum() : CartesianVector(0.f, 0.f, 0.f);
const CartesianVector mcVertex = (pLeadingMC != nullptr) ? pLeadingMC->GetVertex() : CartesianVector(max, max, max);
const CartesianVector mcEndPoint = (pLeadingMC != nullptr) ? pLeadingMC->GetEndpoint() : CartesianVector(max, max, max);
// MC neutrino parent info, including Nuance interaction code
const MCParticle *pNuRoot = bestMatch.m_pNuRoot;
const int mcNuPDG = (pNuRoot != nullptr) ? pNuRoot->GetParticleId() : 0;
const int mcNuId = (pNuRoot != nullptr) ? reinterpret_cast<intptr_t>(pNuRoot->GetUid()) : 0;
const int mcNuCode = (dynamic_cast<const LArMCParticle *>(pNuRoot) != nullptr) ? LArMCParticleHelper::GetNuanceCode(pNuRoot) : 0;
const CartesianVector mcNuVertex = (pNuRoot != nullptr) ? pNuRoot->GetVertex() : CartesianVector(max, max, max);
const float mcNuEnergy = (pNuRoot != nullptr) ? pNuRoot->GetEnergy() : 0.f;
const CartesianVector mcNuMomentum = (pNuRoot != nullptr) ? pNuRoot->GetMomentum() : CartesianVector(0.f, 0.f, 0.f);
matchVect.emplace_back(gotMatch);
mcPDGVect.emplace_back(mcPDG);
mcIdVect.emplace_back(mcId);
isPrimaryVect.emplace_back(isPrimary);
nSharedHitsVect.emplace_back(bestMatch.m_nSharedHits);
completenessVect.emplace_back(bestMatch.m_completeness);
purityVect.emplace_back(bestMatch.m_purity);
mcEVect.emplace_back(mcEnergy);
mcPxVect.emplace_back(mcMomentum.GetX());
mcPyVect.emplace_back(mcMomentum.GetY());
mcPzVect.emplace_back(mcMomentum.GetZ());
mcVtxXVect.emplace_back(mcVertex.GetX());
mcVtxYVect.emplace_back(mcVertex.GetY());
mcVtxZVect.emplace_back(mcVertex.GetZ());
mcEndXVect.emplace_back(mcEndPoint.GetX());
mcEndYVect.emplace_back(mcEndPoint.GetY());
mcEndZVect.emplace_back(mcEndPoint.GetZ());
mcNuPDGVect.emplace_back(mcNuPDG);
mcNuIdVect.emplace_back(mcNuId);
mcNuCodeVect.emplace_back(mcNuCode);
mcNuVtxXVect.emplace_back(mcNuVertex.GetX());
mcNuVtxYVect.emplace_back(mcNuVertex.GetY());
mcNuVtxZVect.emplace_back(mcNuVertex.GetZ());
mcNuEVect.emplace_back(mcNuEnergy);
mcNuPxVect.emplace_back(mcNuMomentum.GetX());
mcNuPyVect.emplace_back(mcNuMomentum.GetY());
mcNuPzVect.emplace_back(mcNuMomentum.GetZ());
} // Reco PFOs
} // Reco nodes
} // Root PFOs
// Fill ROOT ntuple
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "event", m_event));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "run", m_run));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "subRun", m_subRun));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "startTime", m_startTime));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "endTime", m_endTime));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "sliceId", &sliceIdVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "nuVtxX", &nuVtxXVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "nuVtxY", &nuVtxYVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "nuVtxZ", &nuVtxZVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "n3DHits", &n3DHitsVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "nUHits", &nUHitsVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "nVHits", &nVHitsVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "nWHits", &nWHitsVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "startX", &startXVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "startY", &startYVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "startZ", &startZVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "endX", &endXVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "endY", &endYVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "endZ", &endZVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "dirX", &dirXVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "dirY", &dirYVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "dirZ", &dirZVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "centroidX", ¢roidXVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "centroidY", ¢roidYVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "centroidZ", ¢roidZVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "length1", &primaryLVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "length2", &secondaryLVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "length3", &tertiaryLVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "energy", &energyVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "gotMatch", &matchVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcPDG", &mcPDGVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcId", &mcIdVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "isPrimary", &isPrimaryVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "nSharedHits", &nSharedHitsVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "completeness", &completenessVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "purity", &purityVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcEnergy", &mcEVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcPx", &mcPxVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcPy", &mcPyVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcPz", &mcPzVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcVtxX", &mcVtxXVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcVtxY", &mcVtxYVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcVtxZ", &mcVtxZVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcEndX", &mcEndXVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcEndY", &mcEndYVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcEndZ", &mcEndZVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcNuPDG", &mcNuPDGVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcNuId", &mcNuIdVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcNuCode", &mcNuCodeVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcNuVtxX", &mcNuVtxXVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcNuVtxY", &mcNuVtxYVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcNuVtxZ", &mcNuVtxZVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcNuE", &mcNuEVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcNuPx", &mcNuPxVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcNuPy", &mcNuPyVect));
PANDORA_MONITORING_API(SetTreeVariable(this->GetPandora(), m_analysisTreeName.c_str(), "mcNuPz", &mcNuPzVect));
PANDORA_MONITORING_API(FillTree(this->GetPandora(), m_analysisTreeName.c_str()));
}
//------------------------------------------------------------------------------------------------------------------------------------------
const Cluster *HierarchyAnalysisAlgorithm::GetCluster(const ParticleFlowObject *pPfo, const HitType hitType) const
{
// Predicate for finding the specific cluster type from a given PFO's list of clusters (3D or 2D views)
const auto predicate = [&hitType](const Cluster *pCluster) { return LArClusterHelper::GetClusterHitType(pCluster) == hitType; };
const ClusterList &clusters{pPfo->GetClusterList()};
const Cluster *pCluster{nullptr};
ClusterList::const_iterator iter = std::find_if(clusters.begin(), clusters.end(), predicate);
if (iter != clusters.end())
pCluster = *iter;
return pCluster;
}
//------------------------------------------------------------------------------------------------------------------------------------------
const HierarchyAnalysisAlgorithm::RecoMCMatch HierarchyAnalysisAlgorithm::GetRecoMCMatch(
const LArHierarchyHelper::RecoHierarchy::Node *pRecoNode, const LArHierarchyHelper::MatchInfo &matchInfo, MCParticleList &rootMCParticles) const
{
int nSharedHits{0};
float completeness{0.f}, purity{0.f};
bool foundMatch{false};
const MCParticle *pRootNu{nullptr}, *pLeadingMC{nullptr};
// Loop over the root (neutrino) MC particles
for (const MCParticle *const pMCRoot : rootMCParticles)
{
if (foundMatch)
break;
// Loop over the possible matches
const LArHierarchyHelper::MCMatchesVector &matches{matchInfo.GetMatches(pMCRoot)};
for (const LArHierarchyHelper::MCMatches &match : matches)
{
if (foundMatch)
break;
// MC node
const LArHierarchyHelper::MCHierarchy::Node *pMCNode{match.GetMC()};
// Reco matches
const LArHierarchyHelper::RecoHierarchy::NodeVector &nodeVector{match.GetRecoMatches()};
// See if the current recoNode is in the reco matches vector
if (std::find(nodeVector.begin(), nodeVector.end(), pRecoNode) != nodeVector.end())
{
foundMatch = true;
// Parent neutrino
pRootNu = pMCRoot;
// Best matched leading MC particle
pLeadingMC = pMCNode->GetLeadingMCParticle();
// Match quality
nSharedHits = match.GetSharedHits(pRecoNode);
completeness = match.GetCompleteness(pRecoNode);
purity = match.GetPurity(pRecoNode);
break;
} // Find recoNode
} // Match loop
} // Root MC particles
const HierarchyAnalysisAlgorithm::RecoMCMatch info(pRootNu, pLeadingMC, nSharedHits, completeness, purity);
return info;
}
//------------------------------------------------------------------------------------------------------------------------------------------
HierarchyAnalysisAlgorithm::RecoMCMatch::RecoMCMatch(const pandora::MCParticle *pNuRoot, const pandora::MCParticle *pLeadingMC,
const int nSharedHits, const float completeness, const float purity) :
m_pNuRoot(pNuRoot), m_pLeadingMC(pLeadingMC), m_nSharedHits(nSharedHits), m_completeness(completeness), m_purity(purity)
{
}
//------------------------------------------------------------------------------------------------------------------------------------------
StatusCode HierarchyAnalysisAlgorithm::ReadSettings(const TiXmlHandle xmlHandle)
{
PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "EventFileName", m_eventFileName));
PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "EventTreeName", m_eventTreeName));
PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "EventLeafName", m_eventLeafName));
PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "RunLeafName", m_runLeafName));
PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "SubRunLeafName", m_subRunLeafName));
PANDORA_RETURN_RESULT_IF_AND_IF(
STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "StartTimeLeafName", m_startTimeLeafName));
PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "EndTimeLeafName", m_endTimeLeafName));
PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "EventsToSkip", m_eventsToSkip));
// Setup the event ROOT file
if (m_eventFileName.size() > 0)
{
m_eventFile = TFile::Open(m_eventFileName.c_str(), "READ");
if (m_eventFile && m_eventFile->IsOpen())
{
m_eventTree = dynamic_cast<TTree *>(m_eventFile->Get(m_eventTreeName.c_str()));
if (m_eventTree)
{
// Only enable the event and run number leaves as well as the trigger timing
m_eventTree->SetBranchStatus("*", 0);
m_eventTree->SetBranchStatus(m_eventLeafName.c_str(), 1);
m_eventTree->SetBranchStatus(m_runLeafName.c_str(), 1);
m_eventTree->SetBranchStatus(m_subRunLeafName.c_str(), 1);
m_eventTree->SetBranchStatus(m_startTimeLeafName.c_str(), 1);
m_eventTree->SetBranchStatus(m_endTimeLeafName.c_str(), 1);
m_eventTree->SetBranchAddress(m_eventLeafName.c_str(), &m_event);
m_eventTree->SetBranchAddress(m_runLeafName.c_str(), &m_run);
m_eventTree->SetBranchAddress(m_subRunLeafName.c_str(), &m_subRun);
m_eventTree->SetBranchAddress(m_startTimeLeafName.c_str(), &m_startTime);
m_eventTree->SetBranchAddress(m_endTimeLeafName.c_str(), &m_endTime);
}
}
}
PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "CaloHitListName", m_caloHitListName));
PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "PfoListName", m_pfoListName));
PANDORA_RETURN_RESULT_IF_AND_IF(
STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "AnalysisFileName", m_analysisFileName));
PANDORA_RETURN_RESULT_IF_AND_IF(
STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "AnalysisTreeName", m_analysisTreeName));
PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "FoldToPrimaries", m_foldToPrimaries));
PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "FoldDynamic", m_foldDynamic));
PANDORA_RETURN_RESULT_IF_AND_IF(
STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "FoldToLeadingShowers", m_foldToLeadingShowers));
PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "MinPurity", m_minPurity));
PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "MinCompleteness", m_minCompleteness));
PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "MinRecoHits", m_minRecoHits));
PANDORA_RETURN_RESULT_IF_AND_IF(
STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "MinRecoHitsPerView", m_minRecoHitsPerView));
PANDORA_RETURN_RESULT_IF_AND_IF(
STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "MinRecoGoodViews", m_minRecoGoodViews));
PANDORA_RETURN_RESULT_IF_AND_IF(
STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "RemoveRecoNeutrons", m_removeRecoNeutrons));
PANDORA_RETURN_RESULT_IF_AND_IF(STATUS_CODE_SUCCESS, STATUS_CODE_NOT_FOUND, !=, XmlHelper::ReadValue(xmlHandle, "SelectRecoHits", m_selectRecoHits));
return STATUS_CODE_SUCCESS;
}
} // namespace lar_content