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TotemRPUVPatternFinder.cc
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1 /****************************************************************************
2 *
3 * This is a part of TOTEM offline software.
4 * Authors:
5 * Jan Kašpar (jan.kaspar@gmail.com)
6 *
7 ****************************************************************************/
8 
17 
23 
26 
28 
29 //----------------------------------------------------------------------------------------------------
30 
38 public:
40 
41  ~TotemRPUVPatternFinder() override;
42 
43  void produce(edm::Event &e, const edm::EventSetup &c) override;
45 
46 private:
49 
52 
53  unsigned int verbosity;
54 
57 
60 
63 
66 
68  double threshold;
69 
71  double max_a_toFit;
72 
74  struct RPSettings {
77  };
78 
80  std::map<unsigned int, RPSettings> exceptionalSettings;
81 
84  double z0,
85  double threshold,
86  unsigned int planes_required,
89 };
90 
91 //----------------------------------------------------------------------------------------------------
92 
93 using namespace std;
94 using namespace edm;
95 
96 //----------------------------------------------------------------------------------------------------
97 
99  : tagRecHit(conf.getParameter<edm::InputTag>("tagRecHit")),
100  ctppsGeometryToken(esConsumes()),
101  verbosity(conf.getUntrackedParameter<unsigned int>("verbosity", 0)),
102  minPlanesPerProjectionToSearch(conf.getParameter<unsigned int>("minPlanesPerProjectionToSearch")),
103  minPlanesPerProjectionToFit(conf.getParameter<unsigned int>("minPlanesPerProjectionToFit")),
104  maxHitsPerPlaneToSearch(conf.getParameter<unsigned int>("maxHitsPerPlaneToSearch")),
105  lrcgn(new FastLineRecognition(conf.getParameter<double>("clusterSize_a"),
106  conf.getParameter<double>("clusterSize_b"))),
107  threshold(conf.getParameter<double>("threshold")),
108  max_a_toFit(conf.getParameter<double>("max_a_toFit")) {
109  for (const auto &ps : conf.getParameter<vector<ParameterSet>>("exceptionalSettings")) {
110  unsigned int rpId = ps.getParameter<unsigned int>("rpId");
111 
112  RPSettings settings;
113  settings.minPlanesPerProjectionToFit_U = ps.getParameter<unsigned int>("minPlanesPerProjectionToFit_U");
114  settings.minPlanesPerProjectionToFit_V = ps.getParameter<unsigned int>("minPlanesPerProjectionToFit_V");
115  settings.threshold_U = ps.getParameter<double>("threshold_U");
116  settings.threshold_V = ps.getParameter<double>("threshold_V");
117 
118  exceptionalSettings[rpId] = settings;
119  }
120 
121  detSetVectorTotemRPRecHitToken = consumes<edm::DetSetVector<TotemRPRecHit>>(tagRecHit);
122 
123  produces<DetSetVector<TotemRPUVPattern>>();
124 }
125 
126 //----------------------------------------------------------------------------------------------------
127 
129 
130 //----------------------------------------------------------------------------------------------------
131 
133  double z0,
134  double threshold_loc,
135  unsigned int planes_required,
137  DetSet<TotemRPUVPattern> &patterns) {
138  // run recognition
139  DetSet<TotemRPUVPattern> newPatterns;
140  lrcgn->getPatterns(hits, z0, threshold_loc, newPatterns);
141 
142  // set pattern properties and copy to the global pattern collection
143  for (auto &p : newPatterns) {
144  p.setProjection(proj);
145 
146  p.setFittable(true);
147 
148  set<unsigned int> planes;
149  for (const auto &ds : p.hits())
150  planes.insert(TotemRPDetId(ds.detId()).plane());
151 
152  if (planes.size() < planes_required)
153  p.setFittable(false);
154 
155  if (fabs(p.a()) > max_a_toFit)
156  p.setFittable(false);
157 
158  patterns.push_back(p);
159  }
160 }
161 
162 //----------------------------------------------------------------------------------------------------
163 
165  if (verbosity > 5)
166  LogVerbatim("TotemRPUVPatternFinder")
167  << ">> TotemRPUVPatternFinder::produce " << event.id().run() << ":" << event.id().event();
168 
169  // geometry
170  const auto &geometry = es.getData(ctppsGeometryToken);
171  if (geometryWatcher.check(es))
173 
174  // get input
176  event.getByToken(detSetVectorTotemRPRecHitToken, input);
177 
178  // prepare output
179  DetSetVector<TotemRPUVPattern> patternsVector;
180 
181  // split input per RP and per U/V projection
182  struct RPData {
183  DetSetVector<TotemRPRecHit> hits_U, hits_V;
184  map<uint8_t, uint16_t> planeOccupancy_U, planeOccupancy_V;
185  };
186  map<unsigned int, RPData> rpData;
187 
188  for (auto &ids : *input) {
189  TotemRPDetId detId(ids.detId());
190  unsigned int plane = detId.plane();
191  bool uDir = detId.isStripsCoordinateUDirection();
192 
193  CTPPSDetId rpId = detId.rpId();
194 
195  RPData &data = rpData[rpId];
196 
197  for (auto &h : ids) {
198  if (uDir) {
199  auto &ods = data.hits_U.find_or_insert(ids.detId());
200  ods.push_back(h);
201  data.planeOccupancy_U[plane]++;
202  } else {
203  auto &ods = data.hits_V.find_or_insert(ids.detId());
204  ods.push_back(h);
205  data.planeOccupancy_V[plane]++;
206  }
207  }
208  }
209 
210  // track recognition pot by pot
211  for (auto const &it : rpData) {
212  CTPPSDetId rpId(it.first);
213  RPData const &data = it.second;
214 
215  // merge default and exceptional settings (if available)
216  unsigned int minPlanesPerProjectionToFit_U = minPlanesPerProjectionToFit;
217  unsigned int minPlanesPerProjectionToFit_V = minPlanesPerProjectionToFit;
218  double threshold_U = threshold;
219  double threshold_V = threshold;
220 
221  auto setIt = exceptionalSettings.find(rpId);
222  if (setIt != exceptionalSettings.end()) {
223  minPlanesPerProjectionToFit_U = setIt->second.minPlanesPerProjectionToFit_U;
224  minPlanesPerProjectionToFit_V = setIt->second.minPlanesPerProjectionToFit_V;
225  threshold_U = setIt->second.threshold_U;
226  threshold_V = setIt->second.threshold_V;
227  }
228 
229  auto &uColl = data.planeOccupancy_U;
230  auto &vColl = data.planeOccupancy_V;
231 
232  if (verbosity > 5) {
233  LogVerbatim("TotemRPUVPatternFinder")
234  << "\tRP " << rpId << "\n\t\tall planes: u = " << uColl.size() << ", v = " << vColl.size();
235  }
236 
237  // count planes with clean data (no showers, noise, ...)
238  unsigned int uPlanes = 0, vPlanes = 0;
239  for (auto pit : uColl)
240  if (pit.second <= maxHitsPerPlaneToSearch)
241  uPlanes++;
242 
243  for (auto pit : vColl)
244  if (pit.second <= maxHitsPerPlaneToSearch)
245  vPlanes++;
246 
247  if (verbosity > 5)
248  LogVerbatim("TotemRPUVPatternFinder") << "\t\tplanes with clean data: u = " << uPlanes << ", v = " << vPlanes;
249 
250  // discard RPs with too few reasonable planes
252  continue;
253 
254  // prepare data containers
255  DetSet<TotemRPUVPattern> &patterns = patternsVector.find_or_insert(rpId);
256 
257  // "typical" z0 for the RP
258  double z0 = geometry.rp(rpId)->translation().z();
259 
260  // u then v recognition
261  recognizeAndSelect(TotemRPUVPattern::projU, z0, threshold_U, minPlanesPerProjectionToFit_U, data.hits_U, patterns);
262 
263  recognizeAndSelect(TotemRPUVPattern::projV, z0, threshold_V, minPlanesPerProjectionToFit_V, data.hits_V, patterns);
264 
265  if (verbosity > 5) {
266  LogVerbatim("TotemRPUVPatternFinder") << "\t\tpatterns:";
267  for (const auto &p : patterns) {
268  unsigned int n_hits = 0;
269  for (auto &hds : p.hits())
270  n_hits += hds.size();
271 
272  LogVerbatim("TotemRPUVPatternFinder")
273  << "\t\t\tproj = " << ((p.projection() == TotemRPUVPattern::projU) ? "U" : "V") << ", a = " << p.a()
274  << ", b = " << p.b() << ", w = " << p.w() << ", fittable = " << p.fittable() << ", hits = " << n_hits;
275  }
276  }
277  }
278 
279  // save output
280  event.put(make_unique<DetSetVector<TotemRPUVPattern>>(patternsVector));
281 }
282 
283 //----------------------------------------------------------------------------------------------------
284 
287 
288  desc.add<edm::InputTag>("tagRecHit", edm::InputTag("totemRPRecHitProducer"))
289  ->setComment("input rechits collection to retrieve");
290  desc.addUntracked<unsigned int>("verbosity", 0);
291  desc.add<unsigned int>("maxHitsPerPlaneToSearch", 5)
292  ->setComment("minimum threshold of hits multiplicity to flag the pattern as dirty");
293  desc.add<unsigned int>("minPlanesPerProjectionToSearch", 3)
294  ->setComment(
295  "minimal number of reasonable (= not empty and not dirty) planes per projection and per RP, to start the "
296  "pattern search");
297  desc.add<double>("clusterSize_a", 0.02 /* rad */)
298  ->setComment("(full) cluster size (in rad) in slope-intercept space");
299  desc.add<double>("clusterSize_b", 0.3 /* mm */);
300 
301  desc.add<double>("threshold", 2.99)
302  ->setComment(
303  "minimal weight of (Hough) cluster to accept it as candidate\n"
304  " weight of cluster = sum of weights of contributing points\n"
305  " weight of point = sigma0 / sigma_of_point\n"
306  "most often: weight of point ~ 1, thus cluster weight is roughly number of contributing points");
307 
308  desc.add<unsigned int>("minPlanesPerProjectionToFit", 3)
309  ->setComment(
310  "minimal number of planes (in the recognised patterns) per projection and per RP, to tag the candidate as "
311  "fittable");
312 
313  desc.add<bool>("allowAmbiguousCombination", false)
314  ->setComment(
315  "whether to allow combination of most significant U and V pattern, in case there several of them.\n"
316  "don't set it to True, unless you have reason");
317 
318  desc.add<double>("max_a_toFit", 10.0)
319  ->setComment(
320  "maximal angle (in any projection) to mark the candidate as fittable -> controls track parallelity with "
321  "beam\n"
322  "huge value -> no constraint");
323 
324  edm::ParameterSetDescription exceptions_validator;
325  exceptions_validator.add<unsigned int>("rpId")->setComment("RP id according to CTPPSDetId");
326  exceptions_validator.add<unsigned int>("minPlanesPerProjectionToFit_U");
327  exceptions_validator.add<unsigned int>("minPlanesPerProjectionToFit_V");
328  exceptions_validator.add<double>("threshold_U");
329  exceptions_validator.add<double>("threshold_V");
330 
331  std::vector<edm::ParameterSet> exceptions_default;
332  desc.addVPSet("exceptionalSettings", exceptions_validator, exceptions_default);
333 
334  descr.add("totemRPUVPatternFinder", desc);
335 }
336 
337 //----------------------------------------------------------------------------------------------------
338 
Detector ID class for TOTEM Si strip detectors.
Definition: TotemRPDetId.h:30
Log< level::Info, true > LogVerbatim
TotemRPUVPatternFinder(const edm::ParameterSet &conf)
ESGetTokenH3DDVariant esConsumes(std::string const &Record, edm::ConsumesCollector &)
Definition: DeDxTools.cc:283
T getParameter(std::string const &) const
Definition: ParameterSet.h:303
void push_back(const T &t)
Definition: DetSet.h:66
T const & getData(const ESGetToken< T, R > &iToken) const noexcept(false)
Definition: EventSetup.h:119
FastLineRecognition * lrcgn
the line recognition algorithm
void getPatterns(const edm::DetSetVector< TotemRPRecHit > &input, double _z0, double threshold, edm::DetSet< TotemRPUVPattern > &patterns)
static std::string const input
Definition: EdmProvDump.cc:50
reference find_or_insert(det_id_type id)
Definition: DetSetVector.h:234
block of (exceptional) settings for 1 RP
std::map< unsigned int, RPSettings > exceptionalSettings
exceptional settings: RP Id –> settings
double threshold
minimal weight of (Hough) cluster to accept it as candidate
edm::ESGetToken< CTPPSGeometry, VeryForwardRealGeometryRecord > ctppsGeometryToken
void recognizeAndSelect(TotemRPUVPattern::ProjectionType proj, double z0, double threshold, unsigned int planes_required, const edm::DetSetVector< TotemRPRecHit > &hits, edm::DetSet< TotemRPUVPattern > &patterns)
executes line recognition in a projection
unsigned char minPlanesPerProjectionToFit
minimal required number of active planes per projection to mark track candidate as fittable ...
void resetGeometry(const CTPPSGeometry *_g)
#define DEFINE_FWK_MODULE(type)
Definition: MakerMacros.h:16
edm::EDGetTokenT< edm::DetSetVector< TotemRPRecHit > > detSetVectorTotemRPRecHitToken
ParameterDescriptionBase * add(U const &iLabel, T const &value)
Class performing optimized hough transform to recognize lines.
edm::ESWatcher< VeryForwardRealGeometryRecord > geometryWatcher
const int verbosity
void produce(edm::Event &e, const edm::EventSetup &c) override
void add(std::string const &label, ParameterSetDescription const &psetDescription)
bool check(const edm::EventSetup &iSetup)
Definition: ESWatcher.h:57
Base class for CTPPS detector IDs.
Definition: CTPPSDetId.h:32
unsigned char minPlanesPerProjectionToSearch
minimal required number of active planes per projection to even start track recognition ...
Class to recognize straight line tracks, based on optimized Hough trasform.
HLT enums.
char data[epos_bytes_allocation]
Definition: EPOS_Wrapper.h:80
static void fillDescriptions(edm::ConfigurationDescriptions &)
unsigned int maxHitsPerPlaneToSearch
above this limit, planes are considered noisy
The Signals That Services Can Subscribe To This is based on ActivityRegistry h
Helper function to determine trigger accepts.
Definition: Activities.doc:4
double max_a_toFit
maximal angle (in any projection) to mark candidate as fittable - controls track parallelity ...
Definition: event.py:1