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MTDThresholdClusterizer Class Reference

An explicit threshold-based clustering algorithm. More...

#include <MTDThresholdClusterizer.h>

Inheritance diagram for MTDThresholdClusterizer:
MTDClusterizerBase

Public Member Functions

void clusterize (const FTLRecHitCollection &input, const MTDGeometry *geom, const MTDTopology *topo, FTLClusterCollection &output) override
 Cluster hits. This method operates on a matrix of hits and finds the largest contiguous cluster around each seed hit. Input and output data stored in DetSet. More...
 
 MTDThresholdClusterizer (edm::ParameterSet const &conf)
 Constructor: More...
 
 ~MTDThresholdClusterizer () override
 
- Public Member Functions inherited from MTDClusterizerBase
virtual ~MTDClusterizerBase ()
 

Static Public Member Functions

static void fillPSetDescription (edm::ParameterSetDescription &desc)
 

Private Member Functions

void clear_buffer (RecHitIterator itr)
 Clear the internal buffer array. More...
 
void copy_to_buffer (RecHitIterator itr, const MTDGeometry *geom, const MTDTopology *topo)
 Copy FTLRecHit into the buffer, identify seeds. More...
 
FTLCluster make_cluster (const FTLCluster::FTLHitPos &hit)
 The actual clustering algorithm: group the neighboring hits around the seed. More...
 
bool setup (const MTDGeometry *geometry, const MTDTopology *topo, const DetId &id)
 

Private Attributes

bool bufferAlreadySet
 
MTDArrayBuffer theBuffer
 Data storage. More...
 
std::vector< FTLClustertheClusters
 
const float theClusterThreshold
 
DetId theCurrentId
 
const float theHitThreshold
 Clustering-related quantities: More...
 
int theNumOfCols
 
int theNumOfRows
 Geometry-related information. More...
 
const float thePositionThreshold
 
std::vector< FTLCluster::FTLHitPostheSeeds
 
const float theSeedThreshold
 
const float theTimeThreshold
 

Additional Inherited Members

- Public Types inherited from MTDClusterizerBase
typedef FTLClusterCollection::const_iterator ClusterIterator
 
typedef FTLRecHitCollection::const_iterator RecHitIterator
 

Detailed Description

An explicit threshold-based clustering algorithm.

A threshold-based clustering algorithm which clusters FTLRecHits into FTLClusters for each DetUnit. The algorithm is straightforward and purely topological: the clustering process starts with seed hits and continues by adding adjacent hits above the hit threshold. Once the cluster is made, it has to be above the cluster threshold as well.

The clusterization is performed on a matrix with size equal to the size of the MTD detector, each cell containing the cahrge and time of the corresponding hit The matrix is reset after each clusterization.

The search starts from seed hits, i.e. hits with sufficiently large amplitudes

FTLCluster contains a barycenter, but it should be noted that that information is largely useless. One must use a PositionEstimator class to compute the RecHit position and its error for every given cluster.

Sets the MTDArrayBuffer dimensions and pixel thresholds. Makes clusters and stores them in theCache if the option useCache has been set.

Definition at line 51 of file MTDThresholdClusterizer.h.

Constructor & Destructor Documentation

◆ MTDThresholdClusterizer()

MTDThresholdClusterizer::MTDThresholdClusterizer ( edm::ParameterSet const &  conf)

Constructor:

Definition at line 26 of file MTDThresholdClusterizer.cc.

27  : // Get energy thresholds
28  theHitThreshold(conf.getParameter<double>("HitThreshold")),
29  theSeedThreshold(conf.getParameter<double>("SeedThreshold")),
30  theClusterThreshold(conf.getParameter<double>("ClusterThreshold")),
31  theTimeThreshold(conf.getParameter<double>("TimeThreshold")),
32  thePositionThreshold(conf.getParameter<double>("PositionThreshold")),
33  theNumOfRows(0),
34  theNumOfCols(0),
35  theCurrentId(0),
37  bufferAlreadySet(false) {}
const float theHitThreshold
Clustering-related quantities:
int theNumOfRows
Geometry-related information.
MTDArrayBuffer theBuffer
Data storage.

◆ ~MTDThresholdClusterizer()

MTDThresholdClusterizer::~MTDThresholdClusterizer ( )
override

Definition at line 39 of file MTDThresholdClusterizer.cc.

39 {}

Member Function Documentation

◆ clear_buffer()

void MTDThresholdClusterizer::clear_buffer ( RecHitIterator  itr)
private

Clear the internal buffer array.

MTDs which are not part of recognized clusters are NOT ERASED during the cluster finding. Erase them now.

Definition at line 189 of file MTDThresholdClusterizer.cc.

References MTDArrayBuffer::clear(), and theBuffer.

Referenced by clusterize().

189 { theBuffer.clear(itr->row(), itr->column()); }
MTDArrayBuffer theBuffer
Data storage.
void clear(uint row, uint col)

◆ clusterize()

void MTDThresholdClusterizer::clusterize ( const FTLRecHitCollection input,
const MTDGeometry geom,
const MTDTopology topo,
FTLClusterCollection output 
)
overridevirtual

Cluster hits. This method operates on a matrix of hits and finds the largest contiguous cluster around each seed hit. Input and output data stored in DetSet.

Implements MTDClusterizerBase.

Definition at line 90 of file MTDThresholdClusterizer.cc.

References cms::cuda::assert(), MTDDetId::BTL, clear_buffer(), copy_to_buffer(), MTDTopologyMode::crysLayoutFromTopoMode(), TauDecayModes::dec, mps_fire::end, MTDArrayBuffer::energy(), FTLCluster::energy(), MTDDetId::ETL, Exception, MTDDetId::FastTime, relativeConstraints::geom, FTLCluster::getClusterErrorX(), FTLCluster::getClusterPosX(), MTDTopology::getMTDTopologyMode(), mps_fire::i, input, LogDebug, make_cluster(), MTDDetId::mtdSubDetector(), edmNew::DetSetVector< T >::FastFiller::push_back(), FastTimerService_cff::range, DetId::rawId(), setup(), FTLCluster::size(), MTDDetId::subDetector(), theBuffer, theClusterThreshold, theSeeds, theSeedThreshold, FTLCluster::time(), FTLCluster::timeError(), FTLCluster::x(), and FTLCluster::y().

93  {
96 
97  // Do not bother for empty detectors
98  if (begin == end) {
99  edm::LogInfo("MTDThresholdClusterizer") << "No hits to clusterize";
100  return;
101  }
102 
103  LogDebug("MTDThresholdClusterizer") << "Input collection " << input.size();
104  assert(output.empty());
105 
106  std::set<unsigned> geoIds;
107  std::multimap<unsigned, unsigned> geoIdToIdx;
108 
109  unsigned index = 0;
110  for (const auto& hit : input) {
111  MTDDetId mtdId = MTDDetId(hit.detid());
112  if (mtdId.subDetector() != MTDDetId::FastTime) {
113  throw cms::Exception("MTDThresholdClusterizer")
114  << "MTDDetId: " << std::hex << mtdId.rawId() << " is invalid!" << std::dec << std::endl;
115  }
116 
117  if (mtdId.mtdSubDetector() == MTDDetId::BTL) {
118  BTLDetId hitId(hit.detid());
119  //for BTL topology gives different layout id
120  DetId geoId = hitId.geographicalId(MTDTopologyMode::crysLayoutFromTopoMode(topo->getMTDTopologyMode()));
121  geoIdToIdx.emplace(geoId, index);
122  geoIds.emplace(geoId);
123  ++index;
124  } else if (mtdId.mtdSubDetector() == MTDDetId::ETL) {
125  ETLDetId hitId(hit.detid());
126  DetId geoId = hitId.geographicalId();
127  geoIdToIdx.emplace(geoId, index);
128  geoIds.emplace(geoId);
129  ++index;
130  } else {
131  throw cms::Exception("MTDThresholdClusterizer")
132  << "MTDDetId: " << std::hex << mtdId.rawId() << " is invalid!" << std::dec << std::endl;
133  }
134  }
135 
136  //cluster hits within geoIds (modules)
137  for (unsigned id : geoIds) {
138  // Set up the clusterization on this DetId.
139  if (!setup(geom, topo, DetId(id)))
140  return;
141 
142  auto range = geoIdToIdx.equal_range(id);
143  LogDebug("MTDThresholdClusterizer") << "Matching Ids for " << std::hex << id << std::dec << " ["
144  << range.first->second << "," << range.second->second << "]";
145 
146  // Copy MTDRecHits to the buffer array; select the seed hits
147  // on the way, and store them in theSeeds.
148  for (auto itr = range.first; itr != range.second; ++itr) {
149  const unsigned hitidx = itr->second;
150  copy_to_buffer(begin + hitidx, geom, topo);
151  }
152 
153  FTLClusterCollection::FastFiller clustersOnDet(output, id);
154 
155  for (unsigned int i = 0; i < theSeeds.size(); i++) {
156  if (theBuffer.energy(theSeeds[i]) > theSeedThreshold) { // Is this seed still valid?
157  // Make a cluster around this seed
158  const FTLCluster& cluster = make_cluster(theSeeds[i]);
159 
160  // Check if the cluster is above threshold
161  if (cluster.energy() > theClusterThreshold) {
162  LogDebug("MTDThresholdClusterizer")
163  << "putting in this cluster " << i << " #hits:" << cluster.size() << " E:" << cluster.energy()
164  << " T +/- DT:" << cluster.time() << " +/- " << cluster.timeError() << " X:" << cluster.x()
165  << " Y:" << cluster.y() << " xpos +/- err " << cluster.getClusterPosX() << " +/- "
166  << cluster.getClusterErrorX();
167  clustersOnDet.push_back(cluster);
168  }
169  }
170  }
171 
172  // Erase the seeds.
173  theSeeds.clear();
174  // Need to clean unused hits from the buffer array.
175  for (auto itr = range.first; itr != range.second; ++itr) {
176  const unsigned hitidx = itr->second;
177  clear_buffer(begin + hitidx);
178  }
179  }
180 }
int getMTDTopologyMode() const
Definition: MTDTopology.h:27
float energy(uint row, uint col) const
float x() const
Definition: FTLCluster.h:120
int size() const
Definition: FTLCluster.h:153
std::vector< T >::const_iterator const_iterator
int mtdSubDetector() const
Definition: MTDDetId.h:56
assert(be >=bs)
Detector identifier base class for the MIP Timing Layer.
Definition: MTDDetId.h:21
static std::string const input
Definition: EdmProvDump.cc:50
void copy_to_buffer(RecHitIterator itr, const MTDGeometry *geom, const MTDTopology *topo)
Copy FTLRecHit into the buffer, identify seeds.
float getClusterErrorX() const
Definition: FTLCluster.h:212
float y() const
Definition: FTLCluster.h:125
bool setup(const MTDGeometry *geometry, const MTDTopology *topo, const DetId &id)
std::vector< FTLCluster::FTLHitPos > theSeeds
float getClusterPosX() const
Definition: FTLCluster.h:211
Log< level::Info, false > LogInfo
Definition: DetId.h:17
constexpr uint32_t rawId() const
get the raw id
Definition: DetId.h:57
float energy() const
Definition: FTLCluster.h:161
MTDArrayBuffer theBuffer
Data storage.
FTLCluster make_cluster(const FTLCluster::FTLHitPos &hit)
The actual clustering algorithm: group the neighboring hits around the seed.
Detector identifier class for the Endcap Timing Layer.
Definition: ETLDetId.h:16
SubDetector subDetector() const
Definition: MTDDetId.h:53
Detector identifier class for the Barrel Timing Layer. The crystal count must start from 0...
Definition: BTLDetId.h:19
void clear_buffer(RecHitIterator itr)
Clear the internal buffer array.
float timeError() const
Definition: FTLCluster.h:147
Definition: output.py:1
float time() const
Definition: FTLCluster.h:142
BTLDetId::CrysLayout crysLayoutFromTopoMode(const int &topoMode)
#define LogDebug(id)

◆ copy_to_buffer()

void MTDThresholdClusterizer::copy_to_buffer ( RecHitIterator  itr,
const MTDGeometry geom,
const MTDTopology topo 
)
private

Copy FTLRecHit into the buffer, identify seeds.

Definition at line 194 of file MTDThresholdClusterizer.cc.

References GeomDetEnumerators::barrel, MTDDetId::BTL, cuy::col, MTDTopologyMode::crysLayoutFromTopoMode(), GeomDetEnumerators::endcap, hcalRecHitTable_cff::energy, MTDDetId::ETL, relativeConstraints::geom, MTDTopology::getMTDTopologyMode(), GeomDetEnumerators::invalidLoc, BTLRecHitsErrorEstimatorIM::localError(), LogDebug, MTDDetId::mtdSubDetector(), RectangularMTDTopology::pixelToModuleLocalPoint(), position, DetId::rawId(), MTDArrayBuffer::set(), ProxyMTDTopology::specificTopology(), mathSSE::sqrt(), theBuffer, theHitThreshold, theSeeds, theSeedThreshold, hcalRecHitTable_cff::time, PV3DBase< T, PVType, FrameType >::x(), LocalError::xx(), PV3DBase< T, PVType, FrameType >::y(), LocalError::yy(), and PV3DBase< T, PVType, FrameType >::z().

Referenced by clusterize().

194  {
195  MTDDetId mtdId = MTDDetId(itr->detid());
196  int row = itr->row();
197  int col = itr->column();
199  float energy = itr->energy();
200  float time = itr->time();
201  float timeError = itr->timeError();
202  float position = itr->position();
203  float xpos = 0.f;
204  // position is the longitudinal offset that should be added into local x for bars in phi geometry
205  LocalPoint local_point(0, 0, 0);
206  LocalError local_error(0, 0, 0);
207  if (mtdId.mtdSubDetector() == MTDDetId::BTL) {
209  BTLDetId id = itr->id();
210  DetId geoId = id.geographicalId(MTDTopologyMode::crysLayoutFromTopoMode(topo->getMTDTopologyMode()));
211  const auto& det = geom->idToDet(geoId);
212  const ProxyMTDTopology& topoproxy = static_cast<const ProxyMTDTopology&>(det->topology());
213  const RectangularMTDTopology& topol = static_cast<const RectangularMTDTopology&>(topoproxy.specificTopology());
214 
215  LocalPoint lp_pixel(position, 0, 0);
216  local_point = topol.pixelToModuleLocalPoint(lp_pixel, row, col);
217  BTLRecHitsErrorEstimatorIM btlError(det, local_point);
218  local_error = btlError.localError();
219  xpos = local_point.x();
220  } else if (mtdId.mtdSubDetector() == MTDDetId::ETL) {
222  ETLDetId id = itr->id();
223  DetId geoId = id.geographicalId();
224  const auto& det = geom->idToDet(geoId);
225  const ProxyMTDTopology& topoproxy = static_cast<const ProxyMTDTopology&>(det->topology());
226  const RectangularMTDTopology& topol = static_cast<const RectangularMTDTopology&>(topoproxy.specificTopology());
227 
228  LocalPoint lp_pixel(0, 0, 0);
229  local_point = topol.pixelToModuleLocalPoint(lp_pixel, row, col);
230  }
231 
232  LogDebug("MTDThresholdClusterizer") << "DetId " << mtdId.rawId() << " subd " << mtdId.mtdSubDetector() << " row/col "
233  << row << " / " << col << " energy " << energy << " time " << time
234  << " time error " << timeError << " local_point " << local_point.x() << " "
235  << local_point.y() << " " << local_point.z() << " local error "
236  << std::sqrt(local_error.xx()) << " " << std::sqrt(local_error.yy()) << " xpos "
237  << xpos;
238  if (energy > theHitThreshold) {
239  theBuffer.set(row, col, subDet, energy, time, timeError, local_error, local_point, xpos);
240  if (energy > theSeedThreshold)
241  theSeeds.push_back(FTLCluster::FTLHitPos(row, col));
242  //sort seeds?
243  }
244 }
int getMTDTopologyMode() const
Definition: MTDTopology.h:27
void set(uint row, uint col, GeomDetEnumerators::Location subDet, float energy, float time, float time_error, const LocalError &local_error, const LocalPoint &local_point, float xpos)
virtual const PixelTopology & specificTopology() const
int mtdSubDetector() const
Definition: MTDDetId.h:56
const float theHitThreshold
Clustering-related quantities:
LocalPoint pixelToModuleLocalPoint(const LocalPoint &plp, int row, int col) const
Detector identifier base class for the MIP Timing Layer.
Definition: MTDDetId.h:21
T sqrt(T t)
Definition: SSEVec.h:23
std::vector< FTLCluster::FTLHitPos > theSeeds
Definition: DetId.h:17
constexpr uint32_t rawId() const
get the raw id
Definition: DetId.h:57
MTDArrayBuffer theBuffer
Data storage.
Detector identifier class for the Endcap Timing Layer.
Definition: ETLDetId.h:16
static int position[264][3]
Definition: ReadPGInfo.cc:289
Detector identifier class for the Barrel Timing Layer. The crystal count must start from 0...
Definition: BTLDetId.h:19
col
Definition: cuy.py:1009
BTLDetId::CrysLayout crysLayoutFromTopoMode(const int &topoMode)
#define LogDebug(id)

◆ fillPSetDescription()

void MTDThresholdClusterizer::fillPSetDescription ( edm::ParameterSetDescription desc)
static

Definition at line 42 of file MTDThresholdClusterizer.cc.

References submitPVResolutionJobs::desc.

Referenced by MTDClusterProducer::fillDescriptions().

42  {
43  desc.add<double>("HitThreshold", 0.);
44  desc.add<double>("SeedThreshold", 0.);
45  desc.add<double>("ClusterThreshold", 0.);
46  desc.add<double>("TimeThreshold", 10.);
47  desc.add<double>("PositionThreshold", -1.0);
48 }

◆ make_cluster()

FTLCluster MTDThresholdClusterizer::make_cluster ( const FTLCluster::FTLHitPos hit)
private

The actual clustering algorithm: group the neighboring hits around the seed.

Definition at line 249 of file MTDThresholdClusterizer.cc.

References funct::abs(), MTDClusterizerBase::AccretionCluster::add(), GeomDetEnumerators::barrel, DummyCfis::c, MTDArrayBuffer::clear(), MTDArrayBuffer::columns(), MTDClusterizerBase::AccretionCluster::empty(), MTDArrayBuffer::energy(), MTDClusterizerBase::AccretionCluster::energy, f, MTDClusterizerBase::AccretionCluster::isize, MTDArrayBuffer::local_error(), MTDArrayBuffer::local_point(), LogDebug, mag2(), SiStripPI::max, SiStripPI::min, MTDClusterizerBase::AccretionCluster::pop(), alignCSCRings::r, MTDArrayBuffer::rows(), mathSSE::sqrt(), MTDArrayBuffer::subDet(), theBuffer, theCurrentId, theHitThreshold, thePositionThreshold, theTimeThreshold, MTDArrayBuffer::time(), MTDClusterizerBase::AccretionCluster::time, MTDArrayBuffer::time_error(), MTDClusterizerBase::AccretionCluster::timeError, MTDClusterizerBase::AccretionCluster::top(), MTDClusterizerBase::AccretionCluster::x, MTDClusterizerBase::AccretionCluster::xmin, MTDArrayBuffer::xpos(), geometryCSVtoXML::xx, LocalError::xx(), MTDClusterizerBase::AccretionCluster::y, MTDClusterizerBase::AccretionCluster::ymin, geometryCSVtoXML::yy, and LocalError::yy().

Referenced by clusterize().

249  {
250  //First we acquire the seeds for the clusters
251 
252  GeomDetEnumerators::Location seed_subdet = theBuffer.subDet(hit.row(), hit.col());
253  float seed_energy = theBuffer.energy(hit.row(), hit.col());
254  float seed_time = theBuffer.time(hit.row(), hit.col());
255  float seed_time_error = theBuffer.time_error(hit.row(), hit.col());
256  auto const seedPoint = theBuffer.local_point(hit.row(), hit.col());
257  double seed_error_xx = theBuffer.local_error(hit.row(), hit.col()).xx();
258  double seed_error_yy = theBuffer.local_error(hit.row(), hit.col()).yy();
259  double seed_xpos = theBuffer.xpos(hit.row(), hit.col());
261 
262  AccretionCluster acluster;
263  acluster.add(hit, seed_energy, seed_time, seed_time_error);
264 
265  // for BTL position along crystals add auxiliary vectors
266  std::array<float, AccretionCluster::MAXSIZE> pixel_x{{-99999.}};
267  std::array<float, AccretionCluster::MAXSIZE> pixel_errx2{{-99999.}};
268  if (seed_subdet == GeomDetEnumerators::barrel) {
269  pixel_x[acluster.top()] = seed_xpos;
270  pixel_errx2[acluster.top()] = seed_error_xx;
271  }
272 
273  bool stopClus = false;
274  //Here we search all hits adjacent to all hits in the cluster.
275  while (!acluster.empty() && !stopClus) {
276  //This is the standard algorithm to find and add a hit
277  auto curInd = acluster.top();
278  acluster.pop();
279  for (auto c = std::max(0, int(acluster.y[curInd] - 1));
280  c < std::min(int(acluster.y[curInd] + 2), int(theBuffer.columns())) && !stopClus;
281  ++c) {
282  for (auto r = std::max(0, int(acluster.x[curInd] - 1));
283  r < std::min(int(acluster.x[curInd] + 2), int(theBuffer.rows())) && !stopClus;
284  ++r) {
285  LogDebug("MTDThresholdClusterizer")
286  << "Clustering subdet " << seed_subdet << " around " << curInd << " X,Y = " << acluster.x[curInd] << ","
287  << acluster.y[curInd] << " r,c = " << r << "," << c << " energy,time = " << theBuffer.energy(r, c) << " "
288  << theBuffer.time(r, c);
289  if (theBuffer.energy(r, c) > theHitThreshold) {
290  if (std::abs(theBuffer.time(r, c) - seed_time) >
292  sqrt(theBuffer.time_error(r, c) * theBuffer.time_error(r, c) + seed_time_error * seed_time_error))
293  continue;
294  if ((seed_subdet == GeomDetEnumerators::barrel) && (theBuffer.subDet(r, c) == GeomDetEnumerators::barrel) &&
295  (thePositionThreshold > 0)) {
296  double hit_error_xx = theBuffer.local_error(r, c).xx();
297  double hit_error_yy = theBuffer.local_error(r, c).yy();
298  if (((theBuffer.local_point(r, c) - seedPoint).mag2()) >
300  (hit_error_xx + seed_error_xx + hit_error_yy + seed_error_yy))
301  continue;
302  }
303  FTLCluster::FTLHitPos newhit(r, c);
304  if (!acluster.add(newhit, theBuffer.energy(r, c), theBuffer.time(r, c), theBuffer.time_error(r, c))) {
305  stopClus = true;
306  break;
307  }
309  pixel_x[acluster.top()] = theBuffer.xpos(r, c);
310  pixel_errx2[acluster.top()] = theBuffer.local_error(r, c).xx();
311  }
312  theBuffer.clear(newhit);
313  }
314  }
315  }
316  } // while accretion
317 
318  FTLCluster cluster(theCurrentId,
319  acluster.isize,
320  acluster.energy.data(),
321  acluster.time.data(),
322  acluster.timeError.data(),
323  acluster.x.data(),
324  acluster.y.data(),
325  acluster.xmin,
326  acluster.ymin);
327 
328  // For BTL compute the optimal position along crystal and uncertainty on it in absolute length units
329 
330  if (seed_subdet == GeomDetEnumerators::barrel) {
331  float sumW(0.f), sumXW(0.f), sumXW2(0.f);
332  for (unsigned int index = 0; index < acluster.top(); index++) {
333  sumW += acluster.energy[index];
334  sumXW += acluster.energy[index] * pixel_x[index];
335  sumXW2 += acluster.energy[index] * acluster.energy[index] * pixel_errx2[index];
336  }
337  cluster.setClusterPosX(sumXW / sumW);
338  cluster.setClusterErrorX(std::sqrt(sumXW2) / sumW);
339  }
340 
341  return cluster;
342 }
uint rows() const
float energy(uint row, uint col) const
float time(uint row, uint col) const
LocalError local_error(uint row, uint col) const
uint columns() const
const float theHitThreshold
Clustering-related quantities:
GeomDetEnumerators::Location subDet(uint row, uint col) const
Use subDet to identify whether the Hit is in BTL or ETL.
float time_error(uint row, uint col) const
float yy() const
Definition: LocalError.h:24
T sqrt(T t)
Definition: SSEVec.h:23
Abs< T >::type abs(const T &t)
Definition: Abs.h:22
double f[11][100]
float xpos(uint row, uint col) const
T mag2() const
The vector magnitude squared. Equivalent to vec.dot(vec)
MTDArrayBuffer theBuffer
Data storage.
void clear(uint row, uint col)
LocalPoint local_point(uint row, uint col) const
float xx() const
Definition: LocalError.h:22
#define LogDebug(id)

◆ setup()

bool MTDThresholdClusterizer::setup ( const MTDGeometry geom,
const MTDTopology topo,
const DetId id 
)
private

Prepare the Clusterizer to work on a particular DetUnit. Re-init the size of the panel/plaquette (so update nrows and ncols),

Definition at line 54 of file MTDThresholdClusterizer.cc.

References bufferAlreadySet, MTDArrayBuffer::columns(), TauDecayModes::dec, Exception, relativeConstraints::geom, l1ctLayer2EG_cff::id, LogDebug, hgcalPlots::ncols, RectangularMTDTopology::ncolumns(), RectangularMTDTopology::nrows(), MTDArrayBuffer::rows(), MTDArrayBuffer::setSize(), ProxyMTDTopology::specificTopology(), theBuffer, theCurrentId, theNumOfCols, and theNumOfRows.

Referenced by clusterize().

54  {
55  theCurrentId = id;
56  //using geopraphicalId here
57  const auto& thedet = geom->idToDet(id);
58  if (thedet == nullptr) {
59  throw cms::Exception("MTDThresholdClusterizer")
60  << "GeographicalID: " << std::hex << id.rawId() << " is invalid!" << std::dec << std::endl;
61  return false;
62  }
63  const ProxyMTDTopology& topoproxy = static_cast<const ProxyMTDTopology&>(thedet->topology());
64  const RectangularMTDTopology& topol = static_cast<const RectangularMTDTopology&>(topoproxy.specificTopology());
65 
66  // Get the new sizes.
67  unsigned int nrows = topol.nrows(); // rows in x
68  unsigned int ncols = topol.ncolumns(); // cols in y
69 
70  theNumOfRows = nrows; // Set new sizes
72 
73  LogDebug("MTDThresholdClusterizer") << "Buffer size [" << theNumOfRows + 1 << "," << theNumOfCols + 1 << "]";
74 
75  if (nrows > theBuffer.rows() || ncols > theBuffer.columns()) { // change only when a larger is needed
76  // Resize the buffer
77  theBuffer.setSize(nrows, ncols);
78  bufferAlreadySet = true;
79  }
80 
81  return true;
82 }
uint rows() const
uint columns() const
virtual const PixelTopology & specificTopology() const
int theNumOfRows
Geometry-related information.
int ncolumns() const override
int nrows() const override
MTDArrayBuffer theBuffer
Data storage.
void setSize(uint rows, uint cols)
#define LogDebug(id)

Member Data Documentation

◆ bufferAlreadySet

bool MTDThresholdClusterizer::bufferAlreadySet
private

Definition at line 83 of file MTDThresholdClusterizer.h.

Referenced by setup().

◆ theBuffer

MTDArrayBuffer MTDThresholdClusterizer::theBuffer
private

Data storage.

Definition at line 82 of file MTDThresholdClusterizer.h.

Referenced by clear_buffer(), clusterize(), copy_to_buffer(), make_cluster(), and setup().

◆ theClusters

std::vector<FTLCluster> MTDThresholdClusterizer::theClusters
private

Definition at line 66 of file MTDThresholdClusterizer.h.

◆ theClusterThreshold

const float MTDThresholdClusterizer::theClusterThreshold
private

Definition at line 71 of file MTDThresholdClusterizer.h.

Referenced by clusterize().

◆ theCurrentId

DetId MTDThresholdClusterizer::theCurrentId
private

Definition at line 79 of file MTDThresholdClusterizer.h.

Referenced by make_cluster(), and setup().

◆ theHitThreshold

const float MTDThresholdClusterizer::theHitThreshold
private

Clustering-related quantities:

Definition at line 69 of file MTDThresholdClusterizer.h.

Referenced by copy_to_buffer(), and make_cluster().

◆ theNumOfCols

int MTDThresholdClusterizer::theNumOfCols
private

Definition at line 77 of file MTDThresholdClusterizer.h.

Referenced by setup().

◆ theNumOfRows

int MTDThresholdClusterizer::theNumOfRows
private

Geometry-related information.

Definition at line 76 of file MTDThresholdClusterizer.h.

Referenced by setup().

◆ thePositionThreshold

const float MTDThresholdClusterizer::thePositionThreshold
private

Definition at line 73 of file MTDThresholdClusterizer.h.

Referenced by make_cluster().

◆ theSeeds

std::vector<FTLCluster::FTLHitPos> MTDThresholdClusterizer::theSeeds
private

Definition at line 65 of file MTDThresholdClusterizer.h.

Referenced by clusterize(), and copy_to_buffer().

◆ theSeedThreshold

const float MTDThresholdClusterizer::theSeedThreshold
private

Definition at line 70 of file MTDThresholdClusterizer.h.

Referenced by clusterize(), and copy_to_buffer().

◆ theTimeThreshold

const float MTDThresholdClusterizer::theTimeThreshold
private

Definition at line 72 of file MTDThresholdClusterizer.h.

Referenced by make_cluster().