LArSoft  v07_13_02
Liquid Argon Software toolkit - http://larsoft.org/
BlurredClustering_module.cc
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1 // Class: BlurredClustering
3 // Module Type: producer
4 // File: BlurredClustering_module.cc
5 // Author: Mike Wallbank (m.wallbank@sheffield.ac.uk), May 2015
6 //
7 // Reconstructs showers by blurring the hit map image to introduce fake
8 // hits before clustering to make fuller and more complete clusters.
9 //
10 // See DUNE-DocDB 54 (public) for details.
12 
13 // Framework includes:
16 #include "fhiclcpp/ParameterSet.h"
25 
26 // LArSoft includes
44 
45 // ROOT & C++ includes
46 #include <string>
47 #include <vector>
48 #include <map>
49 
50 namespace cluster {
51  class BlurredClustering;
52 }
53 
55 public:
56  explicit BlurredClustering(fhicl::ParameterSet const& pset);
57 
58 private:
59  void produce(art::Event& evt) override;
60 
63 
64  // Create instances of algorithm classes to perform the clustering
68 };
69 
71  : fHitsModuleLabel{pset.get<std::string>("HitsModuleLabel")}
72  , fTrackModuleLabel{pset.get<std::string>("TrackModuleLabel")}
73  , fVertexModuleLabel{pset.get<std::string>("VertexModuleLabel")}
74  , fPFParticleModuleLabel{pset.get<std::string>("PFParticleModuleLabel")}
75  , fCreateDebugPDF{pset.get<bool>("CreateDebugPDF")}
76  , fMergeClusters{pset.get<bool>("MergeClusters")}
77  , fGlobalTPCRecon{pset.get<bool>("GlobalTPCRecon")}
78  , fShowerReconOnly{pset.get<bool>("ShowerReconOnly")}
79  , fBlurredClusteringAlg{pset.get<fhicl::ParameterSet>("BlurredClusterAlg")}
80  , fMergeClusterAlg{pset.get<fhicl::ParameterSet>("MergeClusterAlg")}
81  , fTrackShowerSeparationAlg{pset.get<fhicl::ParameterSet>("TrackShowerSeparationAlg")}
82 {
83  produces<std::vector<recob::Cluster>>();
84  produces<art::Assns<recob::Cluster,recob::Hit>>();
85 }
86 
88 {
89  // Create debug pdf to illustrate the blurring process
90  if (fCreateDebugPDF)
92 
93  // Output containers -- collection of clusters and associations
94  auto clusters = std::make_unique<std::vector<recob::Cluster>>();
95  auto associations = std::make_unique<art::Assns<recob::Cluster,recob::Hit>>();
96 
97  // Compute the cluster characteristics
98  // Just use default for now, but configuration will go here
100 
101  // Create geometry handle
103 
104  // Get the hits from the event
106  std::vector<art::Ptr<recob::Hit>> hits;
107  std::vector<art::Ptr<recob::Hit>> hitsToCluster;
108  if (evt.getByLabel(fHitsModuleLabel,hitCollection))
109  art::fill_ptr_vector(hits, hitCollection);
110 
111  if (fShowerReconOnly) {
112 
113  // Get the tracks from the event
114  art::Handle<std::vector<recob::Track>> trackCollection;
115  std::vector<art::Ptr<recob::Track>> tracks;
116  if (evt.getByLabel(fTrackModuleLabel,trackCollection))
117  art::fill_ptr_vector(tracks, trackCollection);
118 
119  // Get the space points from the event
120  art::Handle<std::vector<recob::SpacePoint>> spacePointCollection;
121  std::vector<art::Ptr<recob::SpacePoint>> spacePoints;
122  if (evt.getByLabel(fTrackModuleLabel,spacePointCollection))
123  art::fill_ptr_vector(spacePoints, spacePointCollection);
124 
125  // Get vertices from the event
126  art::Handle<std::vector<recob::Vertex>> vertexCollection;
127  std::vector<art::Ptr<recob::Vertex>> vertices;
128  if (evt.getByLabel(fVertexModuleLabel, vertexCollection))
129  art::fill_ptr_vector(vertices, vertexCollection);
130 
131  // Get pandora pfparticles and clusters from the event
132  art::Handle<std::vector<recob::PFParticle>> pfParticleCollection;
133  std::vector<art::Ptr<recob::PFParticle>> pfParticles;
134  if (evt.getByLabel(fPFParticleModuleLabel, pfParticleCollection))
135  art::fill_ptr_vector(pfParticles, pfParticleCollection);
136  art::Handle<std::vector<recob::Cluster>> clusterCollection;
137  evt.getByLabel(fPFParticleModuleLabel, clusterCollection);
138 
139  if (trackCollection.isValid()) {
140  art::FindManyP<recob::Hit> fmht(trackCollection, evt, fTrackModuleLabel);
141  art::FindManyP<recob::Track> fmth(hitCollection, evt, fTrackModuleLabel);
142  art::FindManyP<recob::SpacePoint> fmspt(trackCollection, evt, fTrackModuleLabel);
143  art::FindManyP<recob::Track> fmtsp(spacePointCollection, evt, fTrackModuleLabel);
144  hitsToCluster = fTrackShowerSeparationAlg.SelectShowerHits(evt.event(), hits, tracks, spacePoints, fmht, fmth, fmspt, fmtsp);
145  }
146  }
147  else
148  hitsToCluster = hits;
149 
150  // Make a map between the planes and the hits on each
151  std::map<std::pair<int, int>, std::vector<art::Ptr<recob::Hit>>> planeToHits;
152  for (auto const& hitToCluster : hitsToCluster) {
153  auto const& wireID = hitToCluster->WireID();
154  auto const planeNo = wireID.Plane;
155  auto const tpc = fGlobalTPCRecon ? wireID.TPC%2 : wireID.TPC;
156  planeToHits[std::make_pair(planeNo, tpc)].push_back(hitToCluster);
157  }
158 
159  // Loop over views
160  for (auto const& [plane, hits] : planeToHits) {
161  std::vector<art::PtrVector<recob::Hit>> finalClusters;
162 
163  // Implement the algorithm
164  if (hits.size() >= fBlurredClusteringAlg.GetMinSize()) {
165 
166  // Convert hit map to TH2 histogram and blur it
167  auto const image = fBlurredClusteringAlg.ConvertRecobHitsToVector(hits);
168  auto const blurred = fBlurredClusteringAlg.GaussianBlur(image);
169 
170  // Find clusters in histogram
171  std::vector<std::vector<int>> allClusterBins; // Vector of clusters (clusters are vectors of hits)
172  int numClusters = fBlurredClusteringAlg.FindClusters(blurred, allClusterBins);
173  mf::LogVerbatim("Blurred Clustering") << "Found " << numClusters << " clusters" << std::endl;
174 
175  // Create output clusters from the vector of clusters made in FindClusters
176  std::vector<art::PtrVector<recob::Hit>> planeClusters;
177  fBlurredClusteringAlg.ConvertBinsToClusters(image, allClusterBins, planeClusters);
178 
179  // Use the cluster merging algorithm
180  if (fMergeClusters) {
181  int numMergedClusters = fMergeClusterAlg.MergeClusters(planeClusters, finalClusters);
182  mf::LogVerbatim("Blurred Clustering") << "After merging, there are " << numMergedClusters << " clusters" << std::endl;
183  }
184  else finalClusters = planeClusters;
185 
186  // Make the debug PDF
187  if (fCreateDebugPDF) {
188  std::stringstream name;
189  name << "blurred_image";
190  TH2F* imageHist = fBlurredClusteringAlg.MakeHistogram(image, TString{name.str()});
191  name << "_convolved";
192  TH2F* blurredHist = fBlurredClusteringAlg.MakeHistogram(blurred, TString{name.str()});
193  auto const [planeNo, tpc] = plane;
194  fBlurredClusteringAlg.SaveImage(imageHist, 1, tpc, planeNo);
195  fBlurredClusteringAlg.SaveImage(blurredHist, 2, tpc, planeNo);
196  fBlurredClusteringAlg.SaveImage(blurredHist, allClusterBins, 3, tpc, planeNo);
197  fBlurredClusteringAlg.SaveImage(imageHist, finalClusters, 4, tpc, planeNo);
198  imageHist->Delete();
199  blurredHist->Delete();
200  }
201 
202  } // End min hits check
203 
204  // Make the output cluster objects
205  for (auto const& clusterHits : finalClusters) {
206  if (clusterHits.empty()) continue;
207 
208  // Get the start and end wires of the cluster
209  unsigned int const startWire = fBlurredClusteringAlg.GlobalWire(clusterHits.front()->WireID());
210  unsigned int const endWire = fBlurredClusteringAlg.GlobalWire(clusterHits.back()->WireID());
211 
212  // Put cluster hits in the algorithm
213  ClusterParamAlgo.ImportHits(clusterHits);
214 
215  // Create the recob::Cluster and place in the vector of clusters
216  ClusterCreator cluster(ClusterParamAlgo, // algo
217  float(startWire), // start_wire
218  0., // sigma_start_wire
219  clusterHits.front()->PeakTime(), // start_tick
220  clusterHits.front()->SigmaPeakTime(), // sigma_start_tick
221  float(endWire), // end_wire
222  0., // sigma_end_wire,
223  clusterHits.back()->PeakTime(), // end_tick
224  clusterHits.back()->SigmaPeakTime(), // sigma_end_tick
225  clusters->size(), // ID
226  clusterHits.front()->View(), // view
227  clusterHits.front()->WireID().planeID(), // plane
228  recob::Cluster::Sentry // sentry
229  );
230  clusters->emplace_back(cluster.move());
231 
232  // Associate the hits to this cluster
233  util::CreateAssn(*this, evt, *clusters, clusterHits, *associations);
234  } // End loop over all clusters
235 
236  }
237 
238  evt.put(std::move(clusters));
239  evt.put(std::move(associations));
240 }
241 
MaybeLogger_< ELseverityLevel::ELsev_info, true > LogVerbatim
SubRunNumber_t subRun() const
Definition: Event.h:72
Class managing the creation of a new recob::Cluster object.
Encapsulate the construction of a single cyostat.
Declaration of signal hit object.
int MergeClusters(std::vector< art::PtrVector< recob::Hit > > const &planeClusters, std::vector< art::PtrVector< recob::Hit > > &clusters)
cluster::MergeClusterAlg fMergeClusterAlg
std::vector< art::Ptr< recob::Hit > > SelectShowerHits(int event, const std::vector< art::Ptr< recob::Hit > > &hits, const std::vector< art::Ptr< recob::Track > > &tracks, const std::vector< art::Ptr< recob::SpacePoint > > &spacePoints, const art::FindManyP< recob::Hit > &fmht, const art::FindManyP< recob::Track > &fmth, const art::FindManyP< recob::SpacePoint > &fmspt, const art::FindManyP< recob::Track > &fmtsp)
std::vector< std::vector< double > > ConvertRecobHitsToVector(std::vector< art::Ptr< recob::Hit >> const &hits)
Takes hit map and returns a 2D vector representing wire and tick, filled with the charge...
Cluster finding and building.
int FindClusters(std::vector< std::vector< double >> const &image, std::vector< std::vector< int >> &allcluster)
Find clusters in the histogram.
static const SentryArgument_t Sentry
An instance of the sentry object.
Definition: Cluster.h:182
ProductID put(std::unique_ptr< PROD > &&product)
Definition: Event.h:102
bool isValid() const
Definition: Handle.h:190
void CreateDebugPDF(int run, int subrun, int event)
Create the PDF to save debug images.
void hits()
Definition: readHits.C:15
#define DEFINE_ART_MODULE(klass)
Definition: ModuleMacros.h:42
Provides recob::Track data product.
BlurredClustering(fhicl::ParameterSet const &pset)
TH2F * MakeHistogram(std::vector< std::vector< double >> const &image, TString name)
Converts a 2D vector in a histogram for the debug pdf.
Helper functions to create a cluster.
Wrapper for ClusterParamsAlgBase objects to accept diverse input.
T get(std::string const &key) const
Definition: ParameterSet.h:231
Wrapper for ClusterParamsAlgBase objects to accept arbitrary input.
bool CreateAssn(PRODUCER const &prod, art::Event &evt, std::vector< T > const &a, art::Ptr< U > const &b, art::Assns< U, T > &assn, std::string a_instance, size_t indx=UINT_MAX)
Creates a single one-to-one association.
EventNumber_t event() const
Definition: Event.h:67
void SaveImage(TH2F *image, std::vector< art::PtrVector< recob::Hit >> const &allClusters, int pad, int tpc, int plane)
Declaration of cluster object.
void produce(art::Event &evt) override
shower::TrackShowerSeparationAlg fTrackShowerSeparationAlg
void ConvertBinsToClusters(std::vector< std::vector< double >> const &image, std::vector< std::vector< int >> const &allClusterBins, std::vector< art::PtrVector< recob::Hit >> &clusters) const
Takes a vector of clusters (itself a vector of hits) and turns them into clusters using the initial h...
Utility object to perform functions of association.
cluster::BlurredClusteringAlg fBlurredClusteringAlg
Encapsulate the construction of a single detector plane.
bool getByLabel(std::string const &label, std::string const &productInstanceName, Handle< PROD > &result) const
Definition: DataViewImpl.h:344
std::vector< std::vector< double > > GaussianBlur(std::vector< std::vector< double >> const &image)
Applies Gaussian blur to image.
Interface to class computing cluster parameters.
TCEvent evt
Definition: DataStructs.cxx:5
void fill_ptr_vector(std::vector< Ptr< T >> &ptrs, H const &h)
Definition: Ptr.h:464
RunNumber_t run() const
Definition: Event.h:77
art framework interface to geometry description
unsigned int GetMinSize() const noexcept
Minimum size of cluster to save.
Encapsulate the construction of a single detector plane.
int GlobalWire(geo::WireID const &wireID)
Find the global wire position.