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Vx3DHLTAnalyzer.cc
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1 // -*- C++ -*-
2 //
3 // Package: Vx3DHLTAnalyzer
4 // Class: Vx3DHLTAnalyzer
5 //
13 //
14 // Original Author: Mauro Dinardo,28 S-020,+41227673777,
15 // Created: Tue Feb 23 13:15:31 CET 2010
16 // $Id: Vx3DHLTAnalyzer.cc,v 1.102 2012/03/12 11:52:31 dinardo Exp $
17 
18 
19 #include "DQM/BeamMonitor/plugins/Vx3DHLTAnalyzer.h"
20 
21 #include "FWCore/ServiceRegistry/interface/Service.h"
22 #include "FWCore/Framework/interface/LuminosityBlock.h"
23 
24 #include "DataFormats/TrackerRecHit2D/interface/SiPixelRecHitCollection.h"
25 #include "DataFormats/TrackReco/interface/Track.h"
26 #include "DataFormats/TrackReco/interface/TrackFwd.h"
27 #include "DataFormats/VertexReco/interface/VertexFwd.h"
28 #include "DataFormats/VertexReco/interface/Vertex.h"
29 
30 #include <TFitterMinuit.h>
31 
32 
33 using namespace std;
34 using namespace reco;
35 using namespace edm;
36 
37 
38 Vx3DHLTAnalyzer::Vx3DHLTAnalyzer(const ParameterSet& iConfig)
39 {
40  vertexCollection = edm::InputTag("pixelVertices");
41  debugMode = true;
42  nLumiReset = 1;
43  dataFromFit = true;
44  minNentries = 35;
45  xRange = 2.;
46  xStep = 0.001;
47  yRange = 2.;
48  yStep = 0.001;
49  zRange = 30.;
50  zStep = 0.05;
51  VxErrCorr = 1.5;
52  fileName = "BeamPixelResults.txt";
53 
54  vertexCollection = iConfig.getParameter<InputTag>("vertexCollection");
55  debugMode = iConfig.getParameter<bool>("debugMode");
56  nLumiReset = iConfig.getParameter<unsigned int>("nLumiReset");
57  dataFromFit = iConfig.getParameter<bool>("dataFromFit");
58  minNentries = iConfig.getParameter<unsigned int>("minNentries");
59  xRange = iConfig.getParameter<double>("xRange");
60  xStep = iConfig.getParameter<double>("xStep");
61  yRange = iConfig.getParameter<double>("yRange");
62  yStep = iConfig.getParameter<double>("yStep");
63  zRange = iConfig.getParameter<double>("zRange");
64  zStep = iConfig.getParameter<double>("zStep");
65  VxErrCorr = iConfig.getParameter<double>("VxErrCorr");
66  fileName = iConfig.getParameter<string>("fileName");
67 }
68 
69 
70 Vx3DHLTAnalyzer::~Vx3DHLTAnalyzer()
71 {
72 }
73 
74 
75 void Vx3DHLTAnalyzer::analyze(const Event& iEvent, const EventSetup& iSetup)
76 {
77  Handle<VertexCollection> Vx3DCollection;
78  iEvent.getByLabel(vertexCollection,Vx3DCollection);
79 
80  unsigned int i,j;
81  double det;
82  VertexType MyVertex;
83 
84  if (runNumber != iEvent.id().run())
85  {
86  reset("scratch");
87  runNumber = iEvent.id().run();
88 
89  if (debugMode == true)
90  {
91  stringstream debugFile;
92  string tmp(fileName);
93 
94  if (outputDebugFile.is_open() == true) outputDebugFile.close();
95  tmp.erase(strlen(fileName.c_str())-4,4);
96  debugFile << tmp.c_str() << "_Run" << iEvent.id().run() << ".txt";
97  outputDebugFile.open(debugFile.str().c_str(), ios::out);
98  outputDebugFile.close();
99  outputDebugFile.open(debugFile.str().c_str(), ios::app);
100  }
101 
102  beginLuminosityBlock(iEvent.getLuminosityBlock(),iSetup);
103  }
104  else if (beginTimeOfFit != 0)
105  {
106  totalHits += HitCounter(iEvent);
107 
108  for (vector<Vertex>::const_iterator it3DVx = Vx3DCollection->begin(); it3DVx != Vx3DCollection->end(); it3DVx++)
109  {
110  if ((it3DVx->isValid() == true) &&
111  (it3DVx->isFake() == false) &&
112  (it3DVx->ndof() >= minVxDoF))
113  {
114  for (i = 0; i < DIM; i++)
115  {
116  for (j = 0; j < DIM; j++)
117  {
118  MyVertex.Covariance[i][j] = it3DVx->covariance(i,j);
119  if (std::isnan(MyVertex.Covariance[i][j]) == true) break;
120  }
121  if (j != DIM) break;
122  }
123  det = std::fabs(MyVertex.Covariance[0][0])*(std::fabs(MyVertex.Covariance[1][1])*std::fabs(MyVertex.Covariance[2][2]) - MyVertex.Covariance[1][2]*MyVertex.Covariance[1][2]) -
124  MyVertex.Covariance[0][1]*(MyVertex.Covariance[0][1]*std::fabs(MyVertex.Covariance[2][2]) - MyVertex.Covariance[0][2]*MyVertex.Covariance[1][2]) +
125  MyVertex.Covariance[0][2]*(MyVertex.Covariance[0][1]*MyVertex.Covariance[1][2] - MyVertex.Covariance[0][2]*std::fabs(MyVertex.Covariance[1][1]));
126  if ((i == DIM) && (det > 0.))
127  {
128  MyVertex.x = it3DVx->x();
129  MyVertex.y = it3DVx->y();
130  MyVertex.z = it3DVx->z();
131  Vertices.push_back(MyVertex);
132  }
133  else if (internalDebug == true)
134  {
135  cout << "Vertex discarded !" << endl;
136  for (i = 0; i < DIM; i++)
137  for (j = 0; j < DIM; j++)
138  cout << "(i,j) --> " << i << "," << j << " --> " << MyVertex.Covariance[i][j] << endl;
139  }
140 
141  Vx_X->Fill(it3DVx->x());
142  Vx_Y->Fill(it3DVx->y());
143  Vx_Z->Fill(it3DVx->z());
144 
145  Vx_ZX->Fill(it3DVx->z(), it3DVx->x());
146  Vx_ZY->Fill(it3DVx->z(), it3DVx->y());
147  Vx_XY->Fill(it3DVx->x(), it3DVx->y());
148  }
149  }
150  }
151 }
152 
153 
154 unsigned int Vx3DHLTAnalyzer::HitCounter(const Event& iEvent)
155 {
156  edm::Handle<SiPixelRecHitCollection> rechitspixel;
157  iEvent.getByLabel("siPixelRecHits",rechitspixel);
158 
159  unsigned int counter = 0;
160 
161  for (SiPixelRecHitCollection::const_iterator j = rechitspixel->begin(); j != rechitspixel->end(); j++)
162  for (edmNew::DetSet<SiPixelRecHit>::const_iterator h = j->begin(); h != j->end(); h++) counter += h->cluster()->size();
163 
164  return counter;
165 }
166 
167 
168 char* Vx3DHLTAnalyzer::formatTime (const time_t& t)
169 {
170  static char ts[25];
171  strftime(ts, sizeof(ts), "%Y.%m.%d %H:%M:%S %Z", gmtime(&t));
172 
173  return ts;
174 }
175 
176 
177 void Gauss3DFunc(int& /*npar*/, double* /*gin*/, double& fval, double* par, int /*iflag*/)
178 {
179  double K[DIM][DIM]; // Covariance Matrix
180  double M[DIM][DIM]; // K^-1
181  double det;
182  double sumlog = 0.;
183 
184 // par[0] = K(0,0) --> Var[X]
185 // par[1] = K(1,1) --> Var[Y]
186 // par[2] = K(2,2) --> Var[Z]
187 // par[3] = K(0,1) = K(1,0) --> Cov[X,Y]
188 // par[4] = K(1,2) = K(2,1) --> Cov[Y,Z] --> dy/dz
189 // par[5] = K(0,2) = K(2,0) --> Cov[X,Z] --> dx/dz
190 // par[6] = mean x
191 // par[7] = mean y
192 // par[8] = mean z
193 
194  counterVx = 0;
195  for (unsigned int i = 0; i < Vertices.size(); i++)
196  {
197  if ((std::sqrt((Vertices[i].x-xPos)*(Vertices[i].x-xPos) + (Vertices[i].y-yPos)*(Vertices[i].y-yPos)) <= maxTransRadius) &&
198  (std::fabs(Vertices[i].z-zPos) <= maxLongLength))
199  {
200  if (considerVxCovariance == true)
201  {
202  K[0][0] = std::fabs(par[0]) + VxErrCorr*VxErrCorr * std::fabs(Vertices[i].Covariance[0][0]);
203  K[1][1] = std::fabs(par[1]) + VxErrCorr*VxErrCorr * std::fabs(Vertices[i].Covariance[1][1]);
204  K[2][2] = std::fabs(par[2]) + VxErrCorr*VxErrCorr * std::fabs(Vertices[i].Covariance[2][2]);
205  K[0][1] = K[1][0] = par[3] + VxErrCorr*VxErrCorr * Vertices[i].Covariance[0][1];
206  K[1][2] = K[2][1] = par[4]*(std::fabs(par[2])-std::fabs(par[1])) - par[5]*par[3] + VxErrCorr*VxErrCorr * Vertices[i].Covariance[1][2];
207  K[0][2] = K[2][0] = par[5]*(std::fabs(par[2])-std::fabs(par[0])) - par[4]*par[3] + VxErrCorr*VxErrCorr * Vertices[i].Covariance[0][2];
208  }
209  else
210  {
211  K[0][0] = std::fabs(par[0]);
212  K[1][1] = std::fabs(par[1]);
213  K[2][2] = std::fabs(par[2]);
214  K[0][1] = K[1][0] = par[3];
215  K[1][2] = K[2][1] = par[4]*(std::fabs(par[2])-std::fabs(par[1])) - par[5]*par[3];
216  K[0][2] = K[2][0] = par[5]*(std::fabs(par[2])-std::fabs(par[0])) - par[4]*par[3];
217  }
218 
219  det = K[0][0]*(K[1][1]*K[2][2] - K[1][2]*K[1][2]) -
220  K[0][1]*(K[0][1]*K[2][2] - K[0][2]*K[1][2]) +
221  K[0][2]*(K[0][1]*K[1][2] - K[0][2]*K[1][1]);
222 
223  M[0][0] = (K[1][1]*K[2][2] - K[1][2]*K[1][2]) / det;
224  M[1][1] = (K[0][0]*K[2][2] - K[0][2]*K[0][2]) / det;
225  M[2][2] = (K[0][0]*K[1][1] - K[0][1]*K[0][1]) / det;
226  M[0][1] = M[1][0] = (K[0][2]*K[1][2] - K[0][1]*K[2][2]) / det;
227  M[1][2] = M[2][1] = (K[0][2]*K[0][1] - K[1][2]*K[0][0]) / det;
228  M[0][2] = M[2][0] = (K[0][1]*K[1][2] - K[0][2]*K[1][1]) / det;
229 
230  sumlog += double(DIM)*std::log(2.*pi) + std::log(std::fabs(det)) +
231  (M[0][0]*(Vertices[i].x-par[6])*(Vertices[i].x-par[6]) +
232  M[1][1]*(Vertices[i].y-par[7])*(Vertices[i].y-par[7]) +
233  M[2][2]*(Vertices[i].z-par[8])*(Vertices[i].z-par[8]) +
234  2.*M[0][1]*(Vertices[i].x-par[6])*(Vertices[i].y-par[7]) +
235  2.*M[1][2]*(Vertices[i].y-par[7])*(Vertices[i].z-par[8]) +
236  2.*M[0][2]*(Vertices[i].x-par[6])*(Vertices[i].z-par[8]));
237 
238  counterVx++;
239  }
240  }
241 
242  fval = sumlog;
243 }
244 
245 
246 int Vx3DHLTAnalyzer::MyFit(vector<double>* vals)
247 {
248  // RETURN CODE:
249  // 0 == OK
250  // -2 == NO OK - not enough "minNentries"
251  // Any other number == NO OK
252  unsigned int nParams = 9;
253 
254  if ((vals != NULL) && (vals->size() == nParams*2))
255  {
256  double nSigmaXY = 100.;
257  double nSigmaZ = 100.;
258  double varFactor = 4./25.; // Take into account the difference between the RMS and sigma (RMS usually greater than sigma)
259  double parDistanceXY = 0.005; // Unit: [cm]
260  double parDistanceZ = 0.5; // Unit: [cm]
261  double parDistanceddZ = 1e-3; // Unit: [rad]
262  double parDistanceCxy = 1e-5; // Unit: [cm^2]
263  double bestEdm = 1e-1;
264 
265  const unsigned int trials = 4;
266  double largerDist[trials] = {0.1, 5., 10., 100.};
267 
268  double covxz,covyz,det;
269  double deltaMean;
270  int bestMovementX = 1;
271  int bestMovementY = 1;
272  int bestMovementZ = 1;
273  int goodData;
274 
275  double arglist[2];
276  double amin,errdef,edm;
277  int nvpar,nparx;
278 
279  vector<double>::const_iterator it = vals->begin();
280 
281  TFitterMinuit* Gauss3D = new TFitterMinuit(nParams);
282  if (internalDebug == true) Gauss3D->SetPrintLevel(3);
283  else Gauss3D->SetPrintLevel(0);
284  Gauss3D->SetFCN(Gauss3DFunc);
285  arglist[0] = 10000; // Max number of function calls
286  arglist[1] = 1e-9; // Tolerance on likelihood
287 
288  if (internalDebug == true) cout << "\n@@@ START FITTING @@@" << endl;
289 
290  // @@@ Fit at X-deltaMean | X | X+deltaMean @@@
291  bestEdm = 1.;
292  for (int i = 0; i < 3; i++)
293  {
294  deltaMean = (double(i)-1.)*std::sqrt((*(it+0))*varFactor);
295  if (internalDebug == true) cout << "deltaMean --> " << deltaMean << endl;
296 
297  Gauss3D->Clear();
298 
299  // arg3 - first guess of parameter value
300  // arg4 - step of the parameter
301  Gauss3D->SetParameter(0,"var x ", *(it+0)*varFactor, parDistanceXY*parDistanceXY, 0., 0.);
302  Gauss3D->SetParameter(1,"var y ", *(it+1)*varFactor, parDistanceXY*parDistanceXY, 0., 0.);
303  Gauss3D->SetParameter(2,"var z ", *(it+2), parDistanceZ*parDistanceZ, 0., 0.);
304  Gauss3D->SetParameter(3,"cov xy", *(it+3), parDistanceCxy, 0., 0.);
305  Gauss3D->SetParameter(4,"dydz ", *(it+4), parDistanceddZ, 0., 0.);
306  Gauss3D->SetParameter(5,"dxdz ", *(it+5), parDistanceddZ, 0., 0.);
307  Gauss3D->SetParameter(6,"mean x", *(it+6)+deltaMean, parDistanceXY, 0., 0.);
308  Gauss3D->SetParameter(7,"mean y", *(it+7), parDistanceXY, 0., 0.);
309  Gauss3D->SetParameter(8,"mean z", *(it+8), parDistanceZ, 0., 0.);
310 
311  // Set the central positions of the centroid for vertex rejection
312  xPos = Gauss3D->GetParameter(6);
313  yPos = Gauss3D->GetParameter(7);
314  zPos = Gauss3D->GetParameter(8);
315 
316  // Set dimensions of the centroid for vertex rejection
317  maxTransRadius = nSigmaXY * std::sqrt(std::fabs(Gauss3D->GetParameter(0)) + std::fabs(Gauss3D->GetParameter(1))) / 2.;
318  maxLongLength = nSigmaZ * std::sqrt(std::fabs(Gauss3D->GetParameter(2)));
319 
320  goodData = Gauss3D->ExecuteCommand("MIGRAD",arglist,2);
321  Gauss3D->GetStats(amin, edm, errdef, nvpar, nparx);
322 
323  if (counterVx < minNentries) goodData = -2;
324  else if (std::isnan(edm) == true) goodData = -1;
325  else for (unsigned int j = 0; j < nParams; j++) if (std::isnan(Gauss3D->GetParError(j)) == true) { goodData = -1; break; }
326  if (goodData == 0)
327  {
328  covyz = Gauss3D->GetParameter(4)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(1))) - Gauss3D->GetParameter(5)*Gauss3D->GetParameter(3);
329  covxz = Gauss3D->GetParameter(5)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(0))) - Gauss3D->GetParameter(4)*Gauss3D->GetParameter(3);
330 
331  det = std::fabs(Gauss3D->GetParameter(0)) * (std::fabs(Gauss3D->GetParameter(1))*std::fabs(Gauss3D->GetParameter(2)) - covyz*covyz) -
332  Gauss3D->GetParameter(3) * (Gauss3D->GetParameter(3)*std::fabs(Gauss3D->GetParameter(2)) - covxz*covyz) +
333  covxz * (Gauss3D->GetParameter(3)*covyz - covxz*std::fabs(Gauss3D->GetParameter(1)));
334  if (det < 0.) { goodData = -1; if (internalDebug == true) cout << "Negative determinant !" << endl; }
335  }
336 
337  if ((goodData == 0) && (std::fabs(edm) < bestEdm)) { bestEdm = edm; bestMovementX = i; }
338  }
339  if (internalDebug == true) cout << "Found bestMovementX --> " << bestMovementX << endl;
340 
341  // @@@ Fit at Y-deltaMean | Y | Y+deltaMean @@@
342  bestEdm = 1.;
343  for (int i = 0; i < 3; i++)
344  {
345  deltaMean = (double(i)-1.)*std::sqrt((*(it+1))*varFactor);
346  if (internalDebug == true)
347  {
348  cout << "deltaMean --> " << deltaMean << endl;
349  cout << "deltaMean X --> " << (double(bestMovementX)-1.)*std::sqrt((*(it+0))*varFactor) << endl;
350  }
351 
352  Gauss3D->Clear();
353 
354  // arg3 - first guess of parameter value
355  // arg4 - step of the parameter
356  Gauss3D->SetParameter(0,"var x ", *(it+0)*varFactor, parDistanceXY*parDistanceXY, 0., 0.);
357  Gauss3D->SetParameter(1,"var y ", *(it+1)*varFactor, parDistanceXY*parDistanceXY, 0., 0.);
358  Gauss3D->SetParameter(2,"var z ", *(it+2), parDistanceZ*parDistanceZ, 0., 0.);
359  Gauss3D->SetParameter(3,"cov xy", *(it+3), parDistanceCxy, 0., 0.);
360  Gauss3D->SetParameter(4,"dydz ", *(it+4), parDistanceddZ, 0., 0.);
361  Gauss3D->SetParameter(5,"dxdz ", *(it+5), parDistanceddZ, 0., 0.);
362  Gauss3D->SetParameter(6,"mean x", *(it+6)+(double(bestMovementX)-1.)*std::sqrt((*(it+0))*varFactor), parDistanceXY, 0., 0.);
363  Gauss3D->SetParameter(7,"mean y", *(it+7)+deltaMean, parDistanceXY, 0., 0.);
364  Gauss3D->SetParameter(8,"mean z", *(it+8), parDistanceZ, 0., 0.);
365 
366  // Set the central positions of the centroid for vertex rejection
367  xPos = Gauss3D->GetParameter(6);
368  yPos = Gauss3D->GetParameter(7);
369  zPos = Gauss3D->GetParameter(8);
370 
371  // Set dimensions of the centroid for vertex rejection
372  maxTransRadius = nSigmaXY * std::sqrt(std::fabs(Gauss3D->GetParameter(0)) + std::fabs(Gauss3D->GetParameter(1))) / 2.;
373  maxLongLength = nSigmaZ * std::sqrt(std::fabs(Gauss3D->GetParameter(2)));
374 
375  goodData = Gauss3D->ExecuteCommand("MIGRAD",arglist,2);
376  Gauss3D->GetStats(amin, edm, errdef, nvpar, nparx);
377 
378  if (counterVx < minNentries) goodData = -2;
379  else if (std::isnan(edm) == true) goodData = -1;
380  else for (unsigned int j = 0; j < nParams; j++) if (std::isnan(Gauss3D->GetParError(j)) == true) { goodData = -1; break; }
381  if (goodData == 0)
382  {
383  covyz = Gauss3D->GetParameter(4)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(1))) - Gauss3D->GetParameter(5)*Gauss3D->GetParameter(3);
384  covxz = Gauss3D->GetParameter(5)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(0))) - Gauss3D->GetParameter(4)*Gauss3D->GetParameter(3);
385 
386  det = std::fabs(Gauss3D->GetParameter(0)) * (std::fabs(Gauss3D->GetParameter(1))*std::fabs(Gauss3D->GetParameter(2)) - covyz*covyz) -
387  Gauss3D->GetParameter(3) * (Gauss3D->GetParameter(3)*std::fabs(Gauss3D->GetParameter(2)) - covxz*covyz) +
388  covxz * (Gauss3D->GetParameter(3)*covyz - covxz*std::fabs(Gauss3D->GetParameter(1)));
389  if (det < 0.) { goodData = -1; if (internalDebug == true) cout << "Negative determinant !" << endl; }
390  }
391 
392  if ((goodData == 0) && (std::fabs(edm) < bestEdm)) { bestEdm = edm; bestMovementY = i; }
393  }
394  if (internalDebug == true) cout << "Found bestMovementY --> " << bestMovementY << endl;
395 
396  // @@@ Fit at Z-deltaMean | Z | Z+deltaMean @@@
397  bestEdm = 1.;
398  for (int i = 0; i < 3; i++)
399  {
400  deltaMean = (double(i)-1.)*std::sqrt(*(it+2));
401  if (internalDebug == true)
402  {
403  cout << "deltaMean --> " << deltaMean << endl;
404  cout << "deltaMean X --> " << (double(bestMovementX)-1.)*std::sqrt((*(it+0))*varFactor) << endl;
405  cout << "deltaMean Y --> " << (double(bestMovementY)-1.)*std::sqrt((*(it+1))*varFactor) << endl;
406  }
407 
408  Gauss3D->Clear();
409 
410  // arg3 - first guess of parameter value
411  // arg4 - step of the parameter
412  Gauss3D->SetParameter(0,"var x ", *(it+0)*varFactor, parDistanceXY*parDistanceXY, 0., 0.);
413  Gauss3D->SetParameter(1,"var y ", *(it+1)*varFactor, parDistanceXY*parDistanceXY, 0., 0.);
414  Gauss3D->SetParameter(2,"var z ", *(it+2), parDistanceZ*parDistanceZ, 0., 0.);
415  Gauss3D->SetParameter(3,"cov xy", *(it+3), parDistanceCxy, 0., 0.);
416  Gauss3D->SetParameter(4,"dydz ", *(it+4), parDistanceddZ, 0., 0.);
417  Gauss3D->SetParameter(5,"dxdz ", *(it+5), parDistanceddZ, 0., 0.);
418  Gauss3D->SetParameter(6,"mean x", *(it+6)+(double(bestMovementX)-1.)*std::sqrt((*(it+0))*varFactor), parDistanceXY, 0., 0.);
419  Gauss3D->SetParameter(7,"mean y", *(it+7)+(double(bestMovementY)-1.)*std::sqrt((*(it+1))*varFactor), parDistanceXY, 0., 0.);
420  Gauss3D->SetParameter(8,"mean z", *(it+8)+deltaMean, parDistanceZ, 0., 0.);
421 
422  // Set the central positions of the centroid for vertex rejection
423  xPos = Gauss3D->GetParameter(6);
424  yPos = Gauss3D->GetParameter(7);
425  zPos = Gauss3D->GetParameter(8);
426 
427  // Set dimensions of the centroid for vertex rejection
428  maxTransRadius = nSigmaXY * std::sqrt(std::fabs(Gauss3D->GetParameter(0)) + std::fabs(Gauss3D->GetParameter(1))) / 2.;
429  maxLongLength = nSigmaZ * std::sqrt(std::fabs(Gauss3D->GetParameter(2)));
430 
431  goodData = Gauss3D->ExecuteCommand("MIGRAD",arglist,2);
432  Gauss3D->GetStats(amin, edm, errdef, nvpar, nparx);
433 
434  if (counterVx < minNentries) goodData = -2;
435  else if (std::isnan(edm) == true) goodData = -1;
436  else for (unsigned int j = 0; j < nParams; j++) if (std::isnan(Gauss3D->GetParError(j)) == true) { goodData = -1; break; }
437  if (goodData == 0)
438  {
439  covyz = Gauss3D->GetParameter(4)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(1))) - Gauss3D->GetParameter(5)*Gauss3D->GetParameter(3);
440  covxz = Gauss3D->GetParameter(5)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(0))) - Gauss3D->GetParameter(4)*Gauss3D->GetParameter(3);
441 
442  det = std::fabs(Gauss3D->GetParameter(0)) * (std::fabs(Gauss3D->GetParameter(1))*std::fabs(Gauss3D->GetParameter(2)) - covyz*covyz) -
443  Gauss3D->GetParameter(3) * (Gauss3D->GetParameter(3)*std::fabs(Gauss3D->GetParameter(2)) - covxz*covyz) +
444  covxz * (Gauss3D->GetParameter(3)*covyz - covxz*std::fabs(Gauss3D->GetParameter(1)));
445  if (det < 0.) { goodData = -1; if (internalDebug == true) cout << "Negative determinant !" << endl; }
446  }
447 
448  if ((goodData == 0) && (std::fabs(edm) < bestEdm)) { bestEdm = edm; bestMovementZ = i; }
449  }
450  if (internalDebug == true) cout << "Found bestMovementZ --> " << bestMovementZ << endl;
451 
452  Gauss3D->Clear();
453 
454  // @@@ FINAL FIT @@@
455  // arg3 - first guess of parameter value
456  // arg4 - step of the parameter
457  Gauss3D->SetParameter(0,"var x ", *(it+0)*varFactor, parDistanceXY*parDistanceXY, 0., 0.);
458  Gauss3D->SetParameter(1,"var y ", *(it+1)*varFactor, parDistanceXY*parDistanceXY, 0., 0.);
459  Gauss3D->SetParameter(2,"var z ", *(it+2), parDistanceZ*parDistanceZ, 0., 0.);
460  Gauss3D->SetParameter(3,"cov xy", *(it+3), parDistanceCxy, 0., 0.);
461  Gauss3D->SetParameter(4,"dydz ", *(it+4), parDistanceddZ, 0., 0.);
462  Gauss3D->SetParameter(5,"dxdz ", *(it+5), parDistanceddZ, 0., 0.);
463  Gauss3D->SetParameter(6,"mean x", *(it+6)+(double(bestMovementX)-1.)*std::sqrt((*(it+0))*varFactor), parDistanceXY, 0., 0.);
464  Gauss3D->SetParameter(7,"mean y", *(it+7)+(double(bestMovementY)-1.)*std::sqrt((*(it+1))*varFactor), parDistanceXY, 0., 0.);
465  Gauss3D->SetParameter(8,"mean z", *(it+8)+(double(bestMovementZ)-1.)*std::sqrt(*(it+2)), parDistanceZ, 0., 0.);
466 
467  // Set the central positions of the centroid for vertex rejection
468  xPos = Gauss3D->GetParameter(6);
469  yPos = Gauss3D->GetParameter(7);
470  zPos = Gauss3D->GetParameter(8);
471 
472  // Set dimensions of the centroid for vertex rejection
473  maxTransRadius = nSigmaXY * std::sqrt(std::fabs(Gauss3D->GetParameter(0)) + std::fabs(Gauss3D->GetParameter(1))) / 2.;
474  maxLongLength = nSigmaZ * std::sqrt(std::fabs(Gauss3D->GetParameter(2)));
475 
476  goodData = Gauss3D->ExecuteCommand("MIGRAD",arglist,2);
477  Gauss3D->GetStats(amin, edm, errdef, nvpar, nparx);
478 
479  if (counterVx < minNentries) goodData = -2;
480  else if (std::isnan(edm) == true) goodData = -1;
481  else for (unsigned int j = 0; j < nParams; j++) if (std::isnan(Gauss3D->GetParError(j)) == true) { goodData = -1; break; }
482  if (goodData == 0)
483  {
484  covyz = Gauss3D->GetParameter(4)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(1))) - Gauss3D->GetParameter(5)*Gauss3D->GetParameter(3);
485  covxz = Gauss3D->GetParameter(5)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(0))) - Gauss3D->GetParameter(4)*Gauss3D->GetParameter(3);
486 
487  det = std::fabs(Gauss3D->GetParameter(0)) * (std::fabs(Gauss3D->GetParameter(1))*std::fabs(Gauss3D->GetParameter(2)) - covyz*covyz) -
488  Gauss3D->GetParameter(3) * (Gauss3D->GetParameter(3)*std::fabs(Gauss3D->GetParameter(2)) - covxz*covyz) +
489  covxz * (Gauss3D->GetParameter(3)*covyz - covxz*std::fabs(Gauss3D->GetParameter(1)));
490  if (det < 0.) { goodData = -1; if (internalDebug == true) cout << "Negative determinant !" << endl; }
491  }
492 
493  // @@@ FIT WITH DIFFERENT PARAMETER DISTANCES@@@
494  // arg3 - first guess of parameter value
495  // arg4 - step of the parameter
496  for (unsigned int i = 0; i < trials; i++)
497  {
498  if ((goodData != 0) && (goodData != -2))
499  {
500  Gauss3D->Clear();
501 
502  if (internalDebug == true) cout << "FIT WITH DIFFERENT PARAMETER DISTANCES - STEP " << i+1 << endl;
503 
504  Gauss3D->SetParameter(0,"var x ", *(it+0)*varFactor, parDistanceXY*parDistanceXY * largerDist[i], 0, 0);
505  Gauss3D->SetParameter(1,"var y ", *(it+1)*varFactor, parDistanceXY*parDistanceXY * largerDist[i], 0, 0);
506  Gauss3D->SetParameter(2,"var z ", *(it+2), parDistanceZ*parDistanceZ * largerDist[i], 0, 0);
507  Gauss3D->SetParameter(3,"cov xy", *(it+3), parDistanceCxy * largerDist[i], 0, 0);
508  Gauss3D->SetParameter(4,"dydz ", *(it+4), parDistanceddZ * largerDist[i], 0, 0);
509  Gauss3D->SetParameter(5,"dxdz ", *(it+5), parDistanceddZ * largerDist[i], 0, 0);
510  Gauss3D->SetParameter(6,"mean x", *(it+6)+(double(bestMovementX)-1.)*std::sqrt((*(it+0))*varFactor), parDistanceXY * largerDist[i], 0, 0);
511  Gauss3D->SetParameter(7,"mean y", *(it+7)+(double(bestMovementY)-1.)*std::sqrt((*(it+1))*varFactor), parDistanceXY * largerDist[i], 0, 0);
512  Gauss3D->SetParameter(8,"mean z", *(it+8)+(double(bestMovementZ)-1.)*std::sqrt(*(it+2)), parDistanceZ * largerDist[i], 0, 0);
513 
514  // Set the central positions of the centroid for vertex rejection
515  xPos = Gauss3D->GetParameter(6);
516  yPos = Gauss3D->GetParameter(7);
517  zPos = Gauss3D->GetParameter(8);
518 
519  // Set dimensions of the centroid for vertex rejection
520  maxTransRadius = nSigmaXY * std::sqrt(std::fabs(Gauss3D->GetParameter(0)) + std::fabs(Gauss3D->GetParameter(1))) / 2.;
521  maxLongLength = nSigmaZ * std::sqrt(std::fabs(Gauss3D->GetParameter(2)));
522 
523  goodData = Gauss3D->ExecuteCommand("MIGRAD",arglist,2);
524  Gauss3D->GetStats(amin, edm, errdef, nvpar, nparx);
525 
526  if (counterVx < minNentries) goodData = -2;
527  else if (std::isnan(edm) == true) goodData = -1;
528  else for (unsigned int j = 0; j < nParams; j++) if (std::isnan(Gauss3D->GetParError(j)) == true) { goodData = -1; break; }
529  if (goodData == 0)
530  {
531  covyz = Gauss3D->GetParameter(4)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(1))) - Gauss3D->GetParameter(5)*Gauss3D->GetParameter(3);
532  covxz = Gauss3D->GetParameter(5)*(std::fabs(Gauss3D->GetParameter(2))-std::fabs(Gauss3D->GetParameter(0))) - Gauss3D->GetParameter(4)*Gauss3D->GetParameter(3);
533 
534  det = std::fabs(Gauss3D->GetParameter(0)) * (std::fabs(Gauss3D->GetParameter(1))*std::fabs(Gauss3D->GetParameter(2)) - covyz*covyz) -
535  Gauss3D->GetParameter(3) * (Gauss3D->GetParameter(3)*std::fabs(Gauss3D->GetParameter(2)) - covxz*covyz) +
536  covxz * (Gauss3D->GetParameter(3)*covyz - covxz*std::fabs(Gauss3D->GetParameter(1)));
537  if (det < 0.) { goodData = -1; if (internalDebug == true) cout << "Negative determinant !" << endl; }
538  }
539  } else break;
540  }
541 
542  if (goodData == 0)
543  for (unsigned int i = 0; i < nParams; i++)
544  {
545  vals->operator[](i) = Gauss3D->GetParameter(i);
546  vals->operator[](i+nParams) = Gauss3D->GetParError(i);
547  }
548 
549  delete Gauss3D;
550  return goodData;
551  }
552 
553  return -1;
554 }
555 
556 
557 void Vx3DHLTAnalyzer::reset(string ResetType)
558 {
559  if (ResetType.compare("scratch") == 0)
560  {
561  runNumber = 0;
562  numberGoodFits = 0;
563  numberFits = 0;
564  lastLumiOfFit = 0;
565 
566  Vx_X->Reset();
567  Vx_Y->Reset();
568  Vx_Z->Reset();
569 
570  Vx_ZX->Reset();
571  Vx_ZY->Reset();
572  Vx_XY->Reset();
573 
574  mXlumi->Reset();
575  mYlumi->Reset();
576  mZlumi->Reset();
577 
578  sXlumi->Reset();
579  sYlumi->Reset();
580  sZlumi->Reset();
581 
582  dxdzlumi->Reset();
583  dydzlumi->Reset();
584 
585  hitCounter->Reset();
586  hitCountHistory->Reset();
587  goodVxCounter->Reset();
588  goodVxCountHistory->Reset();
589  fitResults->Reset();
590 
591  reportSummary->Fill(0.);
592  reportSummaryMap->Fill(0.5, 0.5, 0.);
593 
594  Vertices.clear();
595 
596  lumiCounter = 0;
597  lumiCounterHisto = 0;
598  totalHits = 0;
599  beginTimeOfFit = 0;
600  endTimeOfFit = 0;
601  beginLumiOfFit = 0;
602  endLumiOfFit = 0;
603  }
604  else if (ResetType.compare("whole") == 0)
605  {
606  Vx_X->Reset();
607  Vx_Y->Reset();
608  Vx_Z->Reset();
609 
610  Vx_ZX->Reset();
611  Vx_ZY->Reset();
612  Vx_XY->Reset();
613 
614  Vertices.clear();
615 
616  lumiCounter = 0;
617  lumiCounterHisto = 0;
618  totalHits = 0;
619  beginTimeOfFit = 0;
620  endTimeOfFit = 0;
621  beginLumiOfFit = 0;
622  endLumiOfFit = 0;
623  }
624  else if (ResetType.compare("partial") == 0)
625  {
626  Vx_X->Reset();
627  Vx_Y->Reset();
628  Vx_Z->Reset();
629 
630  Vertices.clear();
631 
632  lumiCounter = 0;
633  totalHits = 0;
634  beginTimeOfFit = 0;
635  endTimeOfFit = 0;
636  beginLumiOfFit = 0;
637  endLumiOfFit = 0;
638  }
639  else if (ResetType.compare("nohisto") == 0)
640  {
641  Vertices.clear();
642 
643  lumiCounter = 0;
644  lumiCounterHisto = 0;
645  totalHits = 0;
646  beginTimeOfFit = 0;
647  endTimeOfFit = 0;
648  beginLumiOfFit = 0;
649  endLumiOfFit = 0;
650  }
651  else if (ResetType.compare("hitCounter") == 0)
652  totalHits = 0;
653 }
654 
655 
656 void Vx3DHLTAnalyzer::writeToFile(vector<double>* vals,
657  edm::TimeValue_t BeginTimeOfFit,
658  edm::TimeValue_t EndTimeOfFit,
659  unsigned int BeginLumiOfFit,
660  unsigned int EndLumiOfFit,
661  int dataType)
662 {
663  stringstream BufferString;
664  BufferString.precision(5);
665 
666  outputFile.open(fileName.c_str(), ios::out);
667 
668  if ((outputFile.is_open() == true) && (vals != NULL) && (vals->size() == 8*2))
669  {
670  vector<double>::const_iterator it = vals->begin();
671 
672  outputFile << "Runnumber " << runNumber << endl;
673  outputFile << "BeginTimeOfFit " << formatTime(beginTimeOfFit >> 32) << " " << (beginTimeOfFit >> 32) << endl;
674  outputFile << "EndTimeOfFit " << formatTime(endTimeOfFit >> 32) << " " << (endTimeOfFit >> 32) << endl;
675  outputFile << "LumiRange " << beginLumiOfFit << " - " << endLumiOfFit << endl;
676  outputFile << "Type " << dataType << endl;
677  // 3D Vertexing with Pixel Tracks:
678  // Good data = Type 3
679  // Bad data = Type -1
680 
681  BufferString << *(it+0);
682  outputFile << "X0 " << BufferString.str().c_str() << endl;
683  BufferString.str("");
684 
685  BufferString << *(it+1);
686  outputFile << "Y0 " << BufferString.str().c_str() << endl;
687  BufferString.str("");
688 
689  BufferString << *(it+2);
690  outputFile << "Z0 " << BufferString.str().c_str() << endl;
691  BufferString.str("");
692 
693  BufferString << *(it+3);
694  outputFile << "sigmaZ0 " << BufferString.str().c_str() << endl;
695  BufferString.str("");
696 
697  BufferString << *(it+4);
698  outputFile << "dxdz " << BufferString.str().c_str() << endl;
699  BufferString.str("");
700 
701  BufferString << *(it+5);
702  outputFile << "dydz " << BufferString.str().c_str() << endl;
703  BufferString.str("");
704 
705  BufferString << *(it+6);
706  outputFile << "BeamWidthX " << BufferString.str().c_str() << endl;
707  BufferString.str("");
708 
709  BufferString << *(it+7);
710  outputFile << "BeamWidthY " << BufferString.str().c_str() << endl;
711  BufferString.str("");
712 
713  outputFile << "Cov(0,j) " << *(it+8) << " 0.0 0.0 0.0 0.0 0.0 0.0" << endl;
714  outputFile << "Cov(1,j) 0.0 " << *(it+9) << " 0.0 0.0 0.0 0.0 0.0" << endl;
715  outputFile << "Cov(2,j) 0.0 0.0 " << *(it+10) << " 0.0 0.0 0.0 0.0" << endl;
716  outputFile << "Cov(3,j) 0.0 0.0 0.0 " << *(it+11) << " 0.0 0.0 0.0" << endl;
717  outputFile << "Cov(4,j) 0.0 0.0 0.0 0.0 " << *(it+12) << " 0.0 0.0" << endl;
718  outputFile << "Cov(5,j) 0.0 0.0 0.0 0.0 0.0 " << *(it+13) << " 0.0" << endl;
719  outputFile << "Cov(6,j) 0.0 0.0 0.0 0.0 0.0 0.0 " << ((*(it+14)) + (*(it+15)) + 2.*std::sqrt((*(it+14))*(*(it+15)))) / 4. << endl;
720 
721  outputFile << "EmittanceX 0.0" << endl;
722  outputFile << "EmittanceY 0.0" << endl;
723  outputFile << "BetaStar 0.0" << endl;
724  }
725  outputFile.close();
726 
727  if ((debugMode == true) && (outputDebugFile.is_open() == true) && (vals != NULL) && (vals->size() == 8*2))
728  {
729  vector<double>::const_iterator it = vals->begin();
730 
731  outputDebugFile << "Runnumber " << runNumber << endl;
732  outputDebugFile << "BeginTimeOfFit " << formatTime(beginTimeOfFit >> 32) << " " << (beginTimeOfFit >> 32) << endl;
733  outputDebugFile << "EndTimeOfFit " << formatTime(endTimeOfFit >> 32) << " " << (endTimeOfFit >> 32) << endl;
734  outputDebugFile << "LumiRange " << beginLumiOfFit << " - " << endLumiOfFit << endl;
735  outputDebugFile << "Type " << dataType << endl;
736  // 3D Vertexing with Pixel Tracks:
737  // Good data = Type 3
738  // Bad data = Type -1
739 
740  BufferString << *(it+0);
741  outputDebugFile << "X0 " << BufferString.str().c_str() << endl;
742  BufferString.str("");
743 
744  BufferString << *(it+1);
745  outputDebugFile << "Y0 " << BufferString.str().c_str() << endl;
746  BufferString.str("");
747 
748  BufferString << *(it+2);
749  outputDebugFile << "Z0 " << BufferString.str().c_str() << endl;
750  BufferString.str("");
751 
752  BufferString << *(it+3);
753  outputDebugFile << "sigmaZ0 " << BufferString.str().c_str() << endl;
754  BufferString.str("");
755 
756  BufferString << *(it+4);
757  outputDebugFile << "dxdz " << BufferString.str().c_str() << endl;
758  BufferString.str("");
759 
760  BufferString << *(it+5);
761  outputDebugFile << "dydz " << BufferString.str().c_str() << endl;
762  BufferString.str("");
763 
764  BufferString << *(it+6);
765  outputDebugFile << "BeamWidthX " << BufferString.str().c_str() << endl;
766  BufferString.str("");
767 
768  BufferString << *(it+7);
769  outputDebugFile << "BeamWidthY " << BufferString.str().c_str() << endl;
770  BufferString.str("");
771 
772  outputDebugFile << "Cov(0,j) " << *(it+8) << " 0.0 0.0 0.0 0.0 0.0 0.0" << endl;
773  outputDebugFile << "Cov(1,j) 0.0 " << *(it+9) << " 0.0 0.0 0.0 0.0 0.0" << endl;
774  outputDebugFile << "Cov(2,j) 0.0 0.0 " << *(it+10) << " 0.0 0.0 0.0 0.0" << endl;
775  outputDebugFile << "Cov(3,j) 0.0 0.0 0.0 " << *(it+11) << " 0.0 0.0 0.0" << endl;
776  outputDebugFile << "Cov(4,j) 0.0 0.0 0.0 0.0 " << *(it+12) << " 0.0 0.0" << endl;
777  outputDebugFile << "Cov(5,j) 0.0 0.0 0.0 0.0 0.0 " << *(it+13) << " 0.0" << endl;
778  outputDebugFile << "Cov(6,j) 0.0 0.0 0.0 0.0 0.0 0.0 " << ((*(it+14)) + (*(it+15)) + 2.*std::sqrt((*(it+14))*(*(it+15)))) / 4. << endl;
779 
780  outputDebugFile << "EmittanceX 0.0" << endl;
781  outputDebugFile << "EmittanceY 0.0" << endl;
782  outputDebugFile << "BetaStar 0.0" << endl;
783  }
784 }
785 
786 
787 void Vx3DHLTAnalyzer::beginLuminosityBlock(const LuminosityBlock& lumiBlock,
788  const EventSetup& iSetup)
789 {
790  if ((lumiCounter == 0) && (lumiBlock.luminosityBlock() > lastLumiOfFit))
791  {
792  beginTimeOfFit = lumiBlock.beginTime().value();
793  beginLumiOfFit = lumiBlock.luminosityBlock();
794  lumiCounter++;
795  lumiCounterHisto++;
796  }
797  else if ((lumiCounter != 0) && (lumiBlock.luminosityBlock() >= (beginLumiOfFit+lumiCounter))) { lumiCounter++; lumiCounterHisto++; }
798 }
799 
800 
801 void Vx3DHLTAnalyzer::endLuminosityBlock(const LuminosityBlock& lumiBlock,
802  const EventSetup& iSetup)
803 {
804  stringstream histTitle;
805  int goodData;
806  unsigned int nParams = 9;
807 
808  if ((lumiCounter%nLumiReset == 0) && (nLumiReset != 0) && (beginTimeOfFit != 0) && (runNumber != 0))
809  {
810  endTimeOfFit = lumiBlock.endTime().value();
811  endLumiOfFit = lumiBlock.luminosityBlock();
812  lastLumiOfFit = endLumiOfFit;
813  vector<double> vals;
814 
815  hitCounter->ShiftFillLast((double)totalHits, std::sqrt((double)totalHits), nLumiReset);
816 
817  if (lastLumiOfFit % prescaleHistory == 0)
818  {
819  hitCountHistory->getTH1()->SetBinContent(lastLumiOfFit, (double)totalHits);
820  hitCountHistory->getTH1()->SetBinError(lastLumiOfFit, std::sqrt((double)totalHits));
821  }
822 
823  if (dataFromFit == true)
824  {
825  vector<double> fitResults;
826 
827  fitResults.push_back(Vx_X->getTH1()->GetRMS()*Vx_X->getTH1()->GetRMS());
828  fitResults.push_back(Vx_Y->getTH1()->GetRMS()*Vx_Y->getTH1()->GetRMS());
829  fitResults.push_back(Vx_Z->getTH1()->GetRMS()*Vx_Z->getTH1()->GetRMS());
830  fitResults.push_back(0.0);
831  fitResults.push_back(0.0);
832  fitResults.push_back(0.0);
833  fitResults.push_back(Vx_X->getTH1()->GetMean());
834  fitResults.push_back(Vx_Y->getTH1()->GetMean());
835  fitResults.push_back(Vx_Z->getTH1()->GetMean());
836  for (unsigned int i = 0; i < nParams; i++) fitResults.push_back(0.0);
837 
838  goodData = MyFit(&fitResults);
839 
840  if (internalDebug == true)
841  {
842  cout << "goodData --> " << goodData << endl;
843  cout << "Used vertices --> " << counterVx << endl;
844  cout << "var x --> " << fitResults[0] << " +/- " << fitResults[0+nParams] << endl;
845  cout << "var y --> " << fitResults[1] << " +/- " << fitResults[1+nParams] << endl;
846  cout << "var z --> " << fitResults[2] << " +/- " << fitResults[2+nParams] << endl;
847  cout << "cov xy --> " << fitResults[3] << " +/- " << fitResults[3+nParams] << endl;
848  cout << "dydz --> " << fitResults[4] << " +/- " << fitResults[4+nParams] << endl;
849  cout << "dxdz --> " << fitResults[5] << " +/- " << fitResults[5+nParams] << endl;
850  cout << "mean x --> " << fitResults[6] << " +/- " << fitResults[6+nParams] << endl;
851  cout << "mean y --> " << fitResults[7] << " +/- " << fitResults[7+nParams] << endl;
852  cout << "mean z --> " << fitResults[8] << " +/- " << fitResults[8+nParams] << endl;
853  }
854 
855  if (goodData == 0)
856  {
857  vals.push_back(fitResults[6]);
858  vals.push_back(fitResults[7]);
859  vals.push_back(fitResults[8]);
860  vals.push_back(std::sqrt(std::fabs(fitResults[2])));
861  vals.push_back(fitResults[5]);
862  vals.push_back(fitResults[4]);
863  vals.push_back(std::sqrt(std::fabs(fitResults[0])));
864  vals.push_back(std::sqrt(std::fabs(fitResults[1])));
865 
866  vals.push_back(powf(fitResults[6+nParams],2.));
867  vals.push_back(powf(fitResults[7+nParams],2.));
868  vals.push_back(powf(fitResults[8+nParams],2.));
869  vals.push_back(powf(std::fabs(fitResults[2+nParams]) / (2.*std::sqrt(std::fabs(fitResults[2]))),2.));
870  vals.push_back(powf(fitResults[5+nParams],2.));
871  vals.push_back(powf(fitResults[4+nParams],2.));
872  vals.push_back(powf(std::fabs(fitResults[0+nParams]) / (2.*std::sqrt(std::fabs(fitResults[0]))),2.));
873  vals.push_back(powf(std::fabs(fitResults[1+nParams]) / (2.*std::sqrt(std::fabs(fitResults[1]))),2.));
874  }
875  else for (unsigned int i = 0; i < 8*2; i++) vals.push_back(0.0);
876 
877  fitResults.clear();
878  }
879  else
880  {
881  counterVx = Vx_X->getTH1F()->GetEntries();
882 
883  if (Vx_X->getTH1F()->GetEntries() >= minNentries)
884  {
885  goodData = 0;
886 
887  vals.push_back(Vx_X->getTH1F()->GetMean());
888  vals.push_back(Vx_Y->getTH1F()->GetMean());
889  vals.push_back(Vx_Z->getTH1F()->GetMean());
890  vals.push_back(Vx_Z->getTH1F()->GetRMS());
891  vals.push_back(0.0);
892  vals.push_back(0.0);
893  vals.push_back(Vx_X->getTH1F()->GetRMS());
894  vals.push_back(Vx_Y->getTH1F()->GetRMS());
895 
896  vals.push_back(powf(Vx_X->getTH1F()->GetMeanError(),2.));
897  vals.push_back(powf(Vx_Y->getTH1F()->GetMeanError(),2.));
898  vals.push_back(powf(Vx_Z->getTH1F()->GetMeanError(),2.));
899  vals.push_back(powf(Vx_Z->getTH1F()->GetRMSError(),2.));
900  vals.push_back(0.0);
901  vals.push_back(0.0);
902  vals.push_back(powf(Vx_X->getTH1F()->GetRMSError(),2.));
903  vals.push_back(powf(Vx_Y->getTH1F()->GetRMSError(),2.));
904  }
905  else
906  {
907  goodData = -2;
908  for (unsigned int i = 0; i < 8*2; i++) vals.push_back(0.0);
909  }
910  }
911 
912  // vals[0] = X0
913  // vals[1] = Y0
914  // vals[2] = Z0
915  // vals[3] = sigmaZ0
916  // vals[4] = dxdz
917  // vals[5] = dydz
918  // vals[6] = BeamWidthX
919  // vals[7] = BeamWidthY
920 
921  // vals[8] = err^2 X0
922  // vals[9] = err^2 Y0
923  // vals[10] = err^2 Z0
924  // vals[11] = err^2 sigmaZ0
925  // vals[12] = err^2 dxdz
926  // vals[13] = err^2 dydz
927  // vals[14] = err^2 BeamWidthX
928  // vals[15] = err^2 BeamWidthY
929 
930  // "goodData" CODE:
931  // 0 == OK --> Reset
932  // -2 == NO OK - not enough "minNentries" --> Wait for more lumisections
933  // Any other number == NO OK --> Reset
934 
935  numberFits++;
936  if (goodData == 0)
937  {
938  writeToFile(&vals, beginTimeOfFit, endTimeOfFit, beginLumiOfFit, endLumiOfFit, 3);
939  if ((internalDebug == true) && (outputDebugFile.is_open() == true)) outputDebugFile << "Used vertices: " << counterVx << endl;
940 
941  numberGoodFits++;
942 
943  histTitle << "Fitted Beam Spot [cm] (Lumi start: " << beginLumiOfFit << " - Lumi end: " << endLumiOfFit << ")";
944  if (lumiCounterHisto >= maxLumiIntegration) reset("whole");
945  else reset("partial");
946  }
947  else
948  {
949  writeToFile(&vals, beginTimeOfFit, endTimeOfFit, beginLumiOfFit, endLumiOfFit, -1);
950  if ((internalDebug == true) && (outputDebugFile.is_open() == true)) outputDebugFile << "Used vertices: " << counterVx << endl;
951 
952  if (goodData == -2)
953  {
954  histTitle << "Fitted Beam Spot [cm] (not enough statistics)";
955  if (lumiCounter >= maxLumiIntegration) reset("whole");
956  else reset("hitCounter");
957  }
958  else
959  {
960  histTitle << "Fitted Beam Spot [cm] (problems)";
961  if (lumiCounterHisto >= maxLumiIntegration) reset("whole");
962  else reset("partial");
963 
964  counterVx = 0;
965  }
966  }
967 
968  reportSummary->Fill(numberFits != 0 ? (double)numberGoodFits/(double)numberFits : 0.0);
969  reportSummaryMap->Fill(0.5, 0.5, numberFits != 0 ? (double)numberGoodFits/(double)numberFits : 0.0);
970 
971  fitResults->setAxisTitle(histTitle.str().c_str(), 1);
972 
973  fitResults->setBinContent(1, 9, vals[0]);
974  fitResults->setBinContent(1, 8, vals[1]);
975  fitResults->setBinContent(1, 7, vals[2]);
976  fitResults->setBinContent(1, 6, vals[3]);
977  fitResults->setBinContent(1, 5, vals[4]);
978  fitResults->setBinContent(1, 4, vals[5]);
979  fitResults->setBinContent(1, 3, vals[6]);
980  fitResults->setBinContent(1, 2, vals[7]);
981  fitResults->setBinContent(1, 1, counterVx);
982 
983  fitResults->setBinContent(2, 9, std::sqrt(vals[8]));
984  fitResults->setBinContent(2, 8, std::sqrt(vals[9]));
985  fitResults->setBinContent(2, 7, std::sqrt(vals[10]));
986  fitResults->setBinContent(2, 6, std::sqrt(vals[11]));
987  fitResults->setBinContent(2, 5, std::sqrt(vals[12]));
988  fitResults->setBinContent(2, 4, std::sqrt(vals[13]));
989  fitResults->setBinContent(2, 3, std::sqrt(vals[14]));
990  fitResults->setBinContent(2, 2, std::sqrt(vals[15]));
991  fitResults->setBinContent(2, 1, std::sqrt(counterVx));
992 
993  // Linear fit to the historical plots
994  TF1* myLinFit = new TF1("myLinFit", "[0] + [1]*x", mXlumi->getTH1()->GetXaxis()->GetXmin(), mXlumi->getTH1()->GetXaxis()->GetXmax());
995  myLinFit->SetLineColor(2);
996  myLinFit->SetLineWidth(2);
997  myLinFit->SetParName(0,"Intercept");
998  myLinFit->SetParName(1,"Slope");
999 
1000  mXlumi->ShiftFillLast(vals[0], std::sqrt(vals[8]), nLumiReset);
1001  myLinFit->SetParameter(0, mXlumi->getTH1()->GetMean(2));
1002  myLinFit->SetParameter(1, 0.0);
1003  mXlumi->getTH1()->Fit("myLinFit","QR");
1004 
1005  mYlumi->ShiftFillLast(vals[1], std::sqrt(vals[9]), nLumiReset);
1006  myLinFit->SetParameter(0, mYlumi->getTH1()->GetMean(2));
1007  myLinFit->SetParameter(1, 0.0);
1008  mYlumi->getTH1()->Fit("myLinFit","QR");
1009 
1010  mZlumi->ShiftFillLast(vals[2], std::sqrt(vals[10]), nLumiReset);
1011  myLinFit->SetParameter(0, mZlumi->getTH1()->GetMean(2));
1012  myLinFit->SetParameter(1, 0.0);
1013  mZlumi->getTH1()->Fit("myLinFit","QR");
1014 
1015  sXlumi->ShiftFillLast(vals[6], std::sqrt(vals[14]), nLumiReset);
1016  myLinFit->SetParameter(0, sXlumi->getTH1()->GetMean(2));
1017  myLinFit->SetParameter(1, 0.0);
1018  sXlumi->getTH1()->Fit("myLinFit","QR");
1019 
1020  sYlumi->ShiftFillLast(vals[7], std::sqrt(vals[15]), nLumiReset);
1021  myLinFit->SetParameter(0, sYlumi->getTH1()->GetMean(2));
1022  myLinFit->SetParameter(1, 0.0);
1023  sYlumi->getTH1()->Fit("myLinFit","QR");
1024 
1025  sZlumi->ShiftFillLast(vals[3], std::sqrt(vals[11]), nLumiReset);
1026  myLinFit->SetParameter(0, sZlumi->getTH1()->GetMean(2));
1027  myLinFit->SetParameter(1, 0.0);
1028  sZlumi->getTH1()->Fit("myLinFit","QR");
1029 
1030  dxdzlumi->ShiftFillLast(vals[4], std::sqrt(vals[12]), nLumiReset);
1031  myLinFit->SetParameter(0, dxdzlumi->getTH1()->GetMean(2));
1032  myLinFit->SetParameter(1, 0.0);
1033  dxdzlumi->getTH1()->Fit("myLinFit","QR");
1034 
1035  dydzlumi->ShiftFillLast(vals[5], std::sqrt(vals[13]), nLumiReset);
1036  myLinFit->SetParameter(0, dydzlumi->getTH1()->GetMean(2));
1037  myLinFit->SetParameter(1, 0.0);
1038  dydzlumi->getTH1()->Fit("myLinFit","QR");
1039 
1040  goodVxCounter->ShiftFillLast((double)counterVx, std::sqrt((double)counterVx), nLumiReset);
1041  myLinFit->SetParameter(0, goodVxCounter->getTH1()->GetMean(2));
1042  myLinFit->SetParameter(1, 0.0);
1043  goodVxCounter->getTH1()->Fit("myLinFit","QR");
1044 
1045  if (lastLumiOfFit % prescaleHistory == 0)
1046  {
1047  goodVxCountHistory->getTH1()->SetBinContent(lastLumiOfFit, (double)counterVx);
1048  goodVxCountHistory->getTH1()->SetBinError(lastLumiOfFit, std::sqrt((double)counterVx));
1049  }
1050 
1051  delete myLinFit;
1052 
1053  vals.clear();
1054  }
1055  else if (nLumiReset == 0)
1056  {
1057  histTitle << "Fitted Beam Spot [cm] (no ongoing fits)";
1058  fitResults->setAxisTitle(histTitle.str().c_str(), 1);
1059  reportSummaryMap->Fill(0.5, 0.5, 1.0);
1060  hitCounter->ShiftFillLast(totalHits, std::sqrt(totalHits), 1);
1061  reset("nohisto");
1062  }
1063 }
1064 
1065 
1066 void Vx3DHLTAnalyzer::beginJob()
1067 {
1068  DQMStore* dbe = 0;
1069  dbe = Service<DQMStore>().operator->();
1070 
1071  // ### Set internal variables ###
1072  nBinsHistoricalPlot = 80;
1073  nBinsWholeHistory = 3000; // Corresponds to about 20h of data taking: 20h * 60min * 60s / 23s per lumi-block = 3130
1074  // ##############################
1075 
1076  if ( dbe )
1077  {
1078  dbe->setCurrentFolder("BeamPixel");
1079 
1080  Vx_X = dbe->book1D("vertex x", "Primary Vertex X Coordinate Distribution", int(rint(xRange/xStep)), -xRange/2., xRange/2.);
1081  Vx_Y = dbe->book1D("vertex y", "Primary Vertex Y Coordinate Distribution", int(rint(yRange/yStep)), -yRange/2., yRange/2.);
1082  Vx_Z = dbe->book1D("vertex z", "Primary Vertex Z Coordinate Distribution", int(rint(zRange/zStep)), -zRange/2., zRange/2.);
1083  Vx_X->setAxisTitle("Primary Vertices X [cm]",1);
1084  Vx_X->setAxisTitle("Entries [#]",2);
1085  Vx_Y->setAxisTitle("Primary Vertices Y [cm]",1);
1086  Vx_Y->setAxisTitle("Entries [#]",2);
1087  Vx_Z->setAxisTitle("Primary Vertices Z [cm]",1);
1088  Vx_Z->setAxisTitle("Entries [#]",2);
1089 
1090  mXlumi = dbe->book1D("muX vs lumi", "\\mu_{x} vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
1091  mYlumi = dbe->book1D("muY vs lumi", "\\mu_{y} vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
1092  mZlumi = dbe->book1D("muZ vs lumi", "\\mu_{z} vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
1093  mXlumi->setAxisTitle("Lumisection [#]",1);
1094  mXlumi->setAxisTitle("\\mu_{x} [cm]",2);
1095  mXlumi->getTH1()->SetOption("E1");
1096  mYlumi->setAxisTitle("Lumisection [#]",1);
1097  mYlumi->setAxisTitle("\\mu_{y} [cm]",2);
1098  mYlumi->getTH1()->SetOption("E1");
1099  mZlumi->setAxisTitle("Lumisection [#]",1);
1100  mZlumi->setAxisTitle("\\mu_{z} [cm]",2);
1101  mZlumi->getTH1()->SetOption("E1");
1102 
1103  sXlumi = dbe->book1D("sigmaX vs lumi", "\\sigma_{x} vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
1104  sYlumi = dbe->book1D("sigmaY vs lumi", "\\sigma_{y} vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
1105  sZlumi = dbe->book1D("sigmaZ vs lumi", "\\sigma_{z} vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
1106  sXlumi->setAxisTitle("Lumisection [#]",1);
1107  sXlumi->setAxisTitle("\\sigma_{x} [cm]",2);
1108  sXlumi->getTH1()->SetOption("E1");
1109  sYlumi->setAxisTitle("Lumisection [#]",1);
1110  sYlumi->setAxisTitle("\\sigma_{y} [cm]",2);
1111  sYlumi->getTH1()->SetOption("E1");
1112  sZlumi->setAxisTitle("Lumisection [#]",1);
1113  sZlumi->setAxisTitle("\\sigma_{z} [cm]",2);
1114  sZlumi->getTH1()->SetOption("E1");
1115 
1116  dxdzlumi = dbe->book1D("dxdz vs lumi", "dX/dZ vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
1117  dydzlumi = dbe->book1D("dydz vs lumi", "dY/dZ vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
1118  dxdzlumi->setAxisTitle("Lumisection [#]",1);
1119  dxdzlumi->setAxisTitle("dX/dZ [rad]",2);
1120  dxdzlumi->getTH1()->SetOption("E1");
1121  dydzlumi->setAxisTitle("Lumisection [#]",1);
1122  dydzlumi->setAxisTitle("dY/dZ [rad]",2);
1123  dydzlumi->getTH1()->SetOption("E1");
1124 
1125  Vx_ZX = dbe->book2D("vertex zx", "Primary Vertex ZX Coordinate Distribution", int(rint(zRange/zStep/5.)), -zRange/2., zRange/2., int(rint(xRange/xStep/5.)), -xRange/2., xRange/2.);
1126  Vx_ZY = dbe->book2D("vertex zy", "Primary Vertex ZY Coordinate Distribution", int(rint(zRange/zStep/5.)), -zRange/2., zRange/2., int(rint(yRange/yStep/5.)), -yRange/2., yRange/2.);
1127  Vx_XY = dbe->book2D("vertex xy", "Primary Vertex XY Coordinate Distribution", int(rint(xRange/xStep/5.)), -xRange/2., xRange/2., int(rint(yRange/yStep/5.)), -yRange/2., yRange/2.);
1128  Vx_ZX->setAxisTitle("Primary Vertices Z [cm]",1);
1129  Vx_ZX->setAxisTitle("Primary Vertices X [cm]",2);
1130  Vx_ZX->setAxisTitle("Entries [#]",3);
1131  Vx_ZY->setAxisTitle("Primary Vertices Z [cm]",1);
1132  Vx_ZY->setAxisTitle("Primary Vertices Y [cm]",2);
1133  Vx_ZY->setAxisTitle("Entries [#]",3);
1134  Vx_XY->setAxisTitle("Primary Vertices X [cm]",1);
1135  Vx_XY->setAxisTitle("Primary Vertices Y [cm]",2);
1136  Vx_XY->setAxisTitle("Entries [#]",3);
1137 
1138  hitCounter = dbe->book1D("pixelHits vs lumi", "# Pixel-Hits vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
1139  hitCounter->setAxisTitle("Lumisection [#]",1);
1140  hitCounter->setAxisTitle("Pixel-Hits [#]",2);
1141  hitCounter->getTH1()->SetOption("E1");
1142 
1143  hitCountHistory = dbe->book1D("hist pixelHits vs lumi", "History: # Pixel-Hits vs. Lumi", nBinsWholeHistory, 0.5, (double)nBinsWholeHistory+0.5);
1144  hitCountHistory->setAxisTitle("Lumisection [#]",1);
1145  hitCountHistory->setAxisTitle("Pixel-Hits [#]",2);
1146  hitCountHistory->getTH1()->SetOption("E1");
1147 
1148  goodVxCounter = dbe->book1D("good vertices vs lumi", "# Good vertices vs. Lumisection", nBinsHistoricalPlot, 0.5, (double)nBinsHistoricalPlot+0.5);
1149  goodVxCounter->setAxisTitle("Lumisection [#]",1);
1150  goodVxCounter->setAxisTitle("Good vertices [#]",2);
1151  goodVxCounter->getTH1()->SetOption("E1");
1152 
1153  goodVxCountHistory = dbe->book1D("hist good vx vs lumi", "History: # Good vx vs. Lumi", nBinsWholeHistory, 0.5, (double)nBinsWholeHistory+0.5);
1154  goodVxCountHistory->setAxisTitle("Lumisection [#]",1);
1155  goodVxCountHistory->setAxisTitle("Good vertices [#]",2);
1156  goodVxCountHistory->getTH1()->SetOption("E1");
1157 
1158  fitResults = dbe->book2D("fit results","Results of Beam Spot Fit", 2, 0., 2., 9, 0., 9.);
1159  fitResults->setAxisTitle("Fitted Beam Spot [cm]", 1);
1160  fitResults->setBinLabel(9, "X", 2);
1161  fitResults->setBinLabel(8, "Y", 2);
1162  fitResults->setBinLabel(7, "Z", 2);
1163  fitResults->setBinLabel(6, "\\sigma_{Z}", 2);
1164  fitResults->setBinLabel(5, "#frac{dX}{dZ}[rad]", 2);
1165  fitResults->setBinLabel(4, "#frac{dY}{dZ}[rad]", 2);
1166  fitResults->setBinLabel(3, "\\sigma_{X}", 2);
1167  fitResults->setBinLabel(2, "\\sigma_{Y}", 2);
1168  fitResults->setBinLabel(1, "Vertices", 2);
1169  fitResults->setBinLabel(1, "Value", 1);
1170  fitResults->setBinLabel(2, "Stat. Error", 1);
1171  fitResults->getTH1()->SetOption("text");
1172 
1173  dbe->setCurrentFolder("BeamPixel/EventInfo");
1174  reportSummary = dbe->bookFloat("reportSummary");
1175  reportSummary->Fill(0.);
1176  reportSummaryMap = dbe->book2D("reportSummaryMap","Pixel-Vertices Beam Spot: % Good Fits", 1, 0., 1., 1, 0., 1.);
1177  reportSummaryMap->Fill(0.5, 0.5, 0.);
1178  dbe->setCurrentFolder("BeamPixel/EventInfo/reportSummaryContents");
1179 
1180  // Convention for reportSummary and reportSummaryMap:
1181  // - 0% at the moment of creation of the histogram
1182  // - n% numberGoodFits / numberFits
1183  }
1184 
1185  // ### Set internal variables ###
1186  reset("scratch");
1187  prescaleHistory = 1;
1188  maxLumiIntegration = 15;
1189  minVxDoF = 4.;
1190  // For vertex fitter without track-weight: d.o.f. = 2*NTracks - 3
1191  // For vertex fitter with track-weight: d.o.f. = sum_NTracks(2*track_weight) - 3
1192  internalDebug = false;
1193  considerVxCovariance = true;
1194  pi = 3.141592653589793238;
1195  // ##############################
1196 }
1197 
1198 
1199 void Vx3DHLTAnalyzer::endJob() { reset("scratch"); }
1200 
1201 
1202 // Define this as a plug-in
1203 DEFINE_FWK_MODULE(Vx3DHLTAnalyzer);
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MonitorElement::setAxisTitle
void setAxisTitle(const std::string &title, int axis=1)
set x-, y- or z-axis title (axis=1, 2, 3 respectively)
Definition: MonitorElement.cc:916
reset
void reset(double vett[256])
Definition: TPedValues.cc:11
DQMStore::setCurrentFolder
void setCurrentFolder(const std::string &fullpath)
Definition: DQMStore.cc:429
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