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DTResolutionAnalysisTest.cc
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1 /*
2  * See header file for a description of this class.
3  *
4  * \author G. Mila - INFN Torino
5  *
6  * threadsafe version (//-) oct/nov 2014 - WATWanAbdullah -ncpp-um-my
7  *
8  */
9 
10 
11 #include <DQM/DTMonitorClient/src/DTResolutionAnalysisTest.h>
12 
13 // Framework
14 #include <FWCore/Framework/interface/Event.h>
15 #include <FWCore/Framework/interface/EventSetup.h>
16 #include <FWCore/ParameterSet/interface/ParameterSet.h>
17 
18 
19 // Geometry
20 #include "Geometry/Records/interface/MuonGeometryRecord.h"
21 #include "Geometry/DTGeometry/interface/DTGeometry.h"
22 
23 #include "FWCore/ServiceRegistry/interface/Service.h"
24 #include "DQMServices/Core/interface/DQMStore.h"
25 #include "DQMServices/Core/interface/MonitorElement.h"
26 #include "FWCore/MessageLogger/interface/MessageLogger.h"
27 
28 #include <string>
29 #include <sstream>
30 #include <math.h>
31 
32 
33 using namespace edm;
34 using namespace std;
35 
36 
37 DTResolutionAnalysisTest::DTResolutionAnalysisTest(const ParameterSet& ps){
38 
39  LogTrace ("DTDQM|DTMonitorClient|DTResolutionAnalysisTest") << "[DTResolutionAnalysisTest]: Constructor";
40 
41  prescaleFactor = ps.getUntrackedParameter<int>("diagnosticPrescale", 1);
42  // permitted test range
43  maxGoodMeanValue = ps.getUntrackedParameter<double>("maxGoodMeanValue",0.02);
44  minBadMeanValue = ps.getUntrackedParameter<double>("minBadMeanValue",0.04);
45  maxGoodSigmaValue = ps.getUntrackedParameter<double>("maxGoodSigmaValue",0.08);
46  minBadSigmaValue = ps.getUntrackedParameter<double>("minBadSigmaValue",0.16);
47  // top folder for the histograms in DQMStore
48  topHistoFolder = ps.getUntrackedParameter<string>("topHistoFolder","DT/02-Segments");
49 
50  doCalibAnalysis = ps.getUntrackedParameter<bool>("doCalibAnalysis",false);
51 }
52 
53 
54 DTResolutionAnalysisTest::~DTResolutionAnalysisTest(){
55 
56  LogTrace ("DTDQM|DTMonitorClient|DTResolutionAnalysisTest") << "DTResolutionAnalysisTest: analyzed " << nevents << " events";
57 
58 }
59 
60  void DTResolutionAnalysisTest::beginRun(const Run& run, const EventSetup& context){
61 
62  LogTrace ("DTDQM|DTMonitorClient|DTResolutionAnalysisTest") <<"[DTResolutionAnalysisTest]: BeginRun";
63 
64  nevents = 0;
65 
66  // Get the geometry
67  context.get<MuonGeometryRecord>().get(muonGeom);
68 
69 }
70 
71 
72 void DTResolutionAnalysisTest::bookHistos(DQMStore::IBooker & ibooker) {
73 
74  // global residual summary
75 
76  ibooker.setCurrentFolder(topHistoFolder);
77  globalResSummary = ibooker.book2D("ResidualsGlbSummary", "# of SLs with good mean and good sigma of residuals",12,1,13,5,-2,3);
78 
79  // book summaries for mean and sigma
80  ibooker.setCurrentFolder(topHistoFolder + "/00-MeanRes");
81  meanDistr[-2] = ibooker.book1D("MeanDistr","Mean value of the residuals all (cm)",
82  100,-0.1,0.1);
83  meanDistr[-1] = ibooker.book1D("MeanDistr_Phi","Mean value of the residuals #phi SL (cm)",
84  100,-0.1,0.1);
85  meanDistr[0] = ibooker.book1D("MeanDistr_ThetaWh0","Mean values of the residuals #theta SL Wh 0 (cm)",
86  100,-0.1,0.1);
87  meanDistr[1] = ibooker.book1D("MeanDistr_ThetaWh1","Mean value of the residuals #theta SL Wh +/-1 (cm)",
88  100,-0.1,0.1);
89  meanDistr[2] = ibooker.book1D("MeanDistr_ThetaWh2","Mean value of the residuals #theta SL Wh +/-2 (cm)",
90  100,-0.1,0.1);
91 
92 
93  string histoTitle = "# of SLs with good mean of residuals";
94 
95  wheelMeanHistos[3] = ibooker.book2D("MeanResGlbSummary",histoTitle.c_str(),12,1,13,5,-2,3);
96  wheelMeanHistos[3]->setAxisTitle("Sector",1);
97  wheelMeanHistos[3]->setAxisTitle("Wheel",2);
98 
99  ibooker.setCurrentFolder(topHistoFolder + "/01-SigmaRes");
100  sigmaDistr[-2] = ibooker.book1D("SigmaDistr","Sigma value of the residuals all (cm)",
101  50,0.0,0.2);
102  sigmaDistr[-1] = ibooker.book1D("SigmaDistr_Phi","Sigma value of the residuals #phi SL (cm)",
103  50,0.0,0.2);
104  sigmaDistr[0] = ibooker.book1D("SigmaDistr_ThetaWh0","Sigma value of the residuals #theta SL Wh 0 (cm)",
105  50,0.0,0.2);
106  sigmaDistr[1] = ibooker.book1D("SigmaDistr_ThetaWh1","Sigma value of the residuals #theta SL Wh +/-1 (cm)",
107  50,0.0,0.2);
108  sigmaDistr[2] = ibooker.book1D("SigmaDistr_ThetaWh2","Sigma value of the residuals #theta SL Wh +/-2 (cm)",
109  50,0.0,0.2);
110 
111  histoTitle = "# of SLs with good sigma of residuals";
112  wheelSigmaHistos[3] = ibooker.book2D("SigmaResGlbSummary",histoTitle.c_str(),12,1,13,5,-2,3);
113  wheelSigmaHistos[3]->setAxisTitle("Sector",1);
114  wheelSigmaHistos[3]->setAxisTitle("Wheel",2);
115 
116 
117  // loop over all the CMS wheels, sectors & book the summary histos
118  for (int wheel=-2; wheel<=2; wheel++){
119  bookHistos(ibooker,wheel);
120  for (int sector=1; sector<=12; sector++){
121  bookHistos(ibooker,wheel, sector);
122  }
123  }
124 
125 }
126 
127 void DTResolutionAnalysisTest::dqmEndJob(DQMStore::IBooker & ibooker, DQMStore::IGetter & igetter) {
128 
129  if (!igetter.dirExists(topHistoFolder)) {
130  LogTrace ("DTDQM|DTMonitorClient|DTResolutionAnalysisTest")
131  <<"[DTResolutionAnalysisTest]: Base folder " << topHistoFolder
132  << " does not exist. Skipping client operation." << endl;
133  return;
134  }
135 
136  bookHistos(ibooker); // histos booked only if top histo folder exist
137  // as Standard/AlcaReco Harvest is performed in the same step
138 
139  LogTrace ("DTDQM|DTMonitorClient|DTResolutionAnalysisTest")
140  << "[DTResolutionAnalysisTest]: End of Run transition, performing the DQM client operation" << endl;
141 
142  // reset the ME with fixed scale
143  resetMEs();
144 
145  for (vector<const DTChamber*>::const_iterator ch_it = muonGeom->chambers().begin();
146  ch_it != muonGeom->chambers().end(); ++ch_it) { // loop over the chambers
147 
148  DTChamberId chID = (*ch_it)->id();
149 
150  // Fill the test histos
151  for(vector<const DTSuperLayer*>::const_iterator sl_it = (*ch_it)->superLayers().begin();
152  sl_it != (*ch_it)->superLayers().end(); ++sl_it) { // loop over SLs
153 
154 
155  DTSuperLayerId slID = (*sl_it)->id();
156  MonitorElement * res_histo = igetter.get(getMEName(slID));
157 
158  if(res_histo) { // Gaussian Fit
159  float statMean = res_histo->getMean(1);
160  float statSigma = res_histo->getRMS(1);
161  double mean = -1;
162  double sigma = -1;
163  TH1F * histo_root = res_histo->getTH1F();
164 
165  // fill the summaries
166  int entry= (chID.station() - 1) * 3;
167  int binSect = slID.sector();
168  if(slID.sector() == 13) binSect = 4;
169  else if(slID.sector() == 14) binSect = 10;
170  int binSL = entry+slID.superLayer();
171  if(chID.station() == 4 && slID.superLayer() == 3) binSL--;
172  if((slID.sector()==13 || slID.sector()==14) && slID.superLayer()==1) binSL=12;
173  if((slID.sector()==13 || slID.sector()==14) && slID.superLayer()==3) binSL=13;
174 
175  if(histo_root->GetEntries()>20) {
176  TF1 *gfit = new TF1("Gaussian","gaus",(statMean-(2*statSigma)),(statMean+(2*statSigma)));
177  try {
178  histo_root->Fit(gfit, "Q0", "", -0.1, 0.1);
179  } catch (cms::Exception& iException) {
180  LogWarning ("DTDQM|DTMonitorModule|DTResolutionAnalysisTask")
181  << "[DTResolutionAnalysisTask]: Exception when fitting SL : " << slID;
182  // FIXME: the SL is set as OK in the summary
183  double weight = 1/11.;
184  if((binSect == 4 || binSect == 10) && slID.station() == 4) weight = 1/22.;
185  globalResSummary->Fill(binSect, slID.wheel(), weight);
186  continue;
187  }
188 
189  if(gfit){
190  // get the mean and the sigma of the distribution
191  mean = gfit->GetParameter(1);
192  sigma = gfit->GetParameter(2);
193 
194  // fill the distributions
195  meanDistr[-2]->Fill(mean);
196  sigmaDistr[-2]->Fill(sigma);
197  if(slID.superlayer() == 2) {
198  meanDistr[abs(slID.wheel())]->Fill(mean);
199  sigmaDistr[abs(slID.wheel())]->Fill(sigma);
200  } else {
201  meanDistr[-1]->Fill(mean);
202  sigmaDistr[-1]->Fill(sigma);
203  }
204 
205  // sector summaries
206  MeanHistos[make_pair(slID.wheel(),binSect)]->setBinContent(binSL, mean);
207  SigmaHistos[make_pair(slID.wheel(),binSect)]->setBinContent(binSL, sigma);
208 
209  if((slID.sector() == 13 || slID.sector() == 14) && binSL == 12) binSL=10;
210  if((slID.sector() == 13 || slID.sector() == 14) && binSL == 13) binSL=11;
211 
212 
213  if((slID.sector() == 13 || slID.sector() == 14) ) {
214 
215  double MeanVal = wheelMeanHistos[slID.wheel()]->getBinContent(binSect,binSL);
216  double MeanBinVal = (MeanVal > 0. && MeanVal < meanInRange(mean)) ? MeanVal : meanInRange(mean);
217  wheelMeanHistos[slID.wheel()]->setBinContent(binSect,binSL,MeanBinVal);
218 
219  double SigmaVal = wheelSigmaHistos[slID.wheel()]->getBinContent(binSect,binSL);
220  double SigmaBinVal = (SigmaVal > 0. && SigmaVal < sigmaInRange(sigma)) ? SigmaVal : sigmaInRange(sigma);
221  wheelSigmaHistos[slID.wheel()]->setBinContent(binSect,binSL,SigmaBinVal);
222 
223  } else {
224  wheelMeanHistos[slID.wheel()]->setBinContent(binSect,binSL,meanInRange(mean));
225  wheelSigmaHistos[slID.wheel()]->setBinContent(binSect,binSL,sigmaInRange(sigma));
226  }
227 
228  // set the weight
229  double weight = 1/11.;
230  if((binSect == 4 || binSect == 10) && slID.station() == 4) weight = 1/22.;
231 
232  // test the values of mean and sigma
233  if( (meanInRange(mean) > 0.85) && (sigmaInRange(sigma) > 0.85) ) { // sigma and mean ok
234  globalResSummary->Fill(binSect, slID.wheel(), weight);
235  wheelMeanHistos[3]->Fill(binSect,slID.wheel(),weight);
236  wheelSigmaHistos[3]->Fill(binSect,slID.wheel(),weight);
237  } else {
238  if( (meanInRange(mean) < 0.85) && (sigmaInRange(sigma) > 0.85) ) { // only sigma ok
239  wheelSigmaHistos[3]->Fill(binSect,slID.wheel(),weight);
240  }
241  if((meanInRange(mean) > 0.85) && (sigmaInRange(sigma) < 0.85) ) { // only mean ok
242  wheelMeanHistos[3]->Fill(binSect,slID.wheel(),weight);
243  }
244  }
245  }
246  delete gfit;
247  }
248  else{
249  LogVerbatim ("DTDQM|DTMonitorModule|DTResolutionAnalysisTask")
250  << "[DTResolutionAnalysisTask] Fit of " << slID
251  << " not performed because # entries < 20 ";
252  // FIXME: the SL is set as OK in the summary
253  double weight = 1/11.;
254  if((binSect == 4 || binSect == 10) && slID.station() == 4) weight = 1/22.;
255  globalResSummary->Fill(binSect, slID.wheel(), weight);
256  wheelMeanHistos[3]->Fill(binSect,slID.wheel(),weight);
257  wheelSigmaHistos[3]->Fill(binSect,slID.wheel(),weight);
258  wheelMeanHistos[slID.wheel()]->setBinContent(binSect,binSL,1.);
259  wheelSigmaHistos[slID.wheel()]->setBinContent(binSect,binSL,1.);
260  }
261  } else {
262  LogWarning ("DTDQM|DTMonitorModule|DTResolutionAnalysisTask")
263  << "[DTResolutionAnalysisTask] Histo: " << getMEName(slID) << " not found" << endl;
264  }
265  } // loop on SLs
266  } // Loop on Stations
267 
268 }
269 
270 void DTResolutionAnalysisTest::bookHistos(DQMStore::IBooker & ibooker,int wh) {
271 
272  stringstream wheel; wheel <<wh;
273 
274  ibooker.setCurrentFolder(topHistoFolder + "/00-MeanRes");
275  string histoName = "MeanSummaryRes_W" + wheel.str();
276  string histoTitle = "# of SLs with wrong mean of residuals (Wheel " + wheel.str() + ")";
277 
278  wheelMeanHistos[wh] = ibooker.book2D(histoName.c_str(),histoTitle.c_str(),12,1,13,11,1,12);
279  wheelMeanHistos[wh]->setAxisTitle("Sector",1);
280  wheelMeanHistos[wh]->setBinLabel(1,"MB1_SL1",2);
281  wheelMeanHistos[wh]->setBinLabel(2,"MB1_SL2",2);
282  wheelMeanHistos[wh]->setBinLabel(3,"MB1_SL3",2);
283  wheelMeanHistos[wh]->setBinLabel(4,"MB2_SL1",2);
284  wheelMeanHistos[wh]->setBinLabel(5,"MB2_SL2",2);
285  wheelMeanHistos[wh]->setBinLabel(6,"MB2_SL3",2);
286  wheelMeanHistos[wh]->setBinLabel(7,"MB3_SL1",2);
287  wheelMeanHistos[wh]->setBinLabel(8,"MB3_SL2",2);
288  wheelMeanHistos[wh]->setBinLabel(9,"MB3_SL3",2);
289  wheelMeanHistos[wh]->setBinLabel(10,"MB4_SL1",2);
290  wheelMeanHistos[wh]->setBinLabel(11,"MB4_SL3",2);
291 
292  ibooker.setCurrentFolder(topHistoFolder + "/01-SigmaRes");
293  histoName = "SigmaSummaryRes_W" + wheel.str();
294  histoTitle = "# of SLs with wrong sigma of residuals (Wheel " + wheel.str() + ")";
295 
296  wheelSigmaHistos[wh] = ibooker.book2D(histoName.c_str(),histoTitle.c_str(),12,1,13,11,1,12);
297  wheelSigmaHistos[wh]->setAxisTitle("Sector",1);
298  wheelSigmaHistos[wh]->setBinLabel(1,"MB1_SL1",2);
299  wheelSigmaHistos[wh]->setBinLabel(2,"MB1_SL2",2);
300  wheelSigmaHistos[wh]->setBinLabel(3,"MB1_SL3",2);
301  wheelSigmaHistos[wh]->setBinLabel(4,"MB2_SL1",2);
302  wheelSigmaHistos[wh]->setBinLabel(5,"MB2_SL2",2);
303  wheelSigmaHistos[wh]->setBinLabel(6,"MB2_SL3",2);
304  wheelSigmaHistos[wh]->setBinLabel(7,"MB3_SL1",2);
305  wheelSigmaHistos[wh]->setBinLabel(8,"MB3_SL2",2);
306  wheelSigmaHistos[wh]->setBinLabel(9,"MB3_SL3",2);
307  wheelSigmaHistos[wh]->setBinLabel(10,"MB4_SL1",2);
308  wheelSigmaHistos[wh]->setBinLabel(11,"MB4_SL3",2);
309 }
310 
311 void DTResolutionAnalysisTest::bookHistos(DQMStore::IBooker & ibooker,int wh, int sect) {
312 
313  stringstream wheel; wheel << wh;
314  stringstream sector; sector << sect;
315 
316 
317  string MeanHistoName = "MeanTest_W" + wheel.str() + "_Sec" + sector.str();
318  string SigmaHistoName = "SigmaTest_W" + wheel.str() + "_Sec" + sector.str();
319 
320  string folder = topHistoFolder + "/Wheel" + wheel.str() + "/Sector" + sector.str();
321  ibooker.setCurrentFolder(folder);
322 
323  if(sect!=4 && sect!=10) {
324  MeanHistos[make_pair(wh,sect)] =
325 
326  ibooker.book1D(MeanHistoName.c_str(),"Mean (from gaussian fit) of the residuals distribution",11,1,12);
327  } else {
328  MeanHistos[make_pair(wh,sect)] =
329  ibooker.book1D(MeanHistoName.c_str(),"Mean (from gaussian fit) of the residuals distribution",13,1,14);
330  }
331  (MeanHistos[make_pair(wh,sect)])->setBinLabel(1,"MB1_SL1",1);
332  (MeanHistos[make_pair(wh,sect)])->setBinLabel(2,"MB1_SL2",1);
333  (MeanHistos[make_pair(wh,sect)])->setBinLabel(3,"MB1_SL3",1);
334  (MeanHistos[make_pair(wh,sect)])->setBinLabel(4,"MB2_SL1",1);
335  (MeanHistos[make_pair(wh,sect)])->setBinLabel(5,"MB2_SL2",1);
336  (MeanHistos[make_pair(wh,sect)])->setBinLabel(6,"MB2_SL3",1);
337  (MeanHistos[make_pair(wh,sect)])->setBinLabel(7,"MB3_SL1",1);
338  (MeanHistos[make_pair(wh,sect)])->setBinLabel(8,"MB3_SL2",1);
339  (MeanHistos[make_pair(wh,sect)])->setBinLabel(9,"MB3_SL3",1);
340  (MeanHistos[make_pair(wh,sect)])->setBinLabel(10,"MB4_SL1",1);
341  (MeanHistos[make_pair(wh,sect)])->setBinLabel(11,"MB4_SL3",1);
342  if(sect==4){
343  (MeanHistos[make_pair(wh,sect)])->setBinLabel(12,"MB4S13_SL1",1);
344  (MeanHistos[make_pair(wh,sect)])->setBinLabel(13,"MB4S13_SL3",1);
345  }
346  if(sect==10){
347  (MeanHistos[make_pair(wh,sect)])->setBinLabel(12,"MB4S14_SL1",1);
348  (MeanHistos[make_pair(wh,sect)])->setBinLabel(13,"MB4S14_SL3",1);
349  }
350 
351  if(sect!=4 && sect!=10) {
352  SigmaHistos[make_pair(wh,sect)] =
353  ibooker.book1D(SigmaHistoName.c_str(),"Sigma (from gaussian fit) of the residuals distribution",11,1,12);
354  } else {
355  SigmaHistos[make_pair(wh,sect)] =
356  ibooker.book1D(SigmaHistoName.c_str(),"Sigma (from gaussian fit) of the residuals distribution",13,1,14);
357  }
358  (SigmaHistos[make_pair(wh,sect)])->setBinLabel(1,"MB1_SL1",1);
359  (SigmaHistos[make_pair(wh,sect)])->setBinLabel(2,"MB1_SL2",1);
360  (SigmaHistos[make_pair(wh,sect)])->setBinLabel(3,"MB1_SL3",1);
361  (SigmaHistos[make_pair(wh,sect)])->setBinLabel(4,"MB2_SL1",1);
362  (SigmaHistos[make_pair(wh,sect)])->setBinLabel(5,"MB2_SL2",1);
363  (SigmaHistos[make_pair(wh,sect)])->setBinLabel(6,"MB2_SL3",1);
364  (SigmaHistos[make_pair(wh,sect)])->setBinLabel(7,"MB3_SL1",1);
365  (SigmaHistos[make_pair(wh,sect)])->setBinLabel(8,"MB3_SL2",1);
366  (SigmaHistos[make_pair(wh,sect)])->setBinLabel(9,"MB3_SL3",1);
367  (SigmaHistos[make_pair(wh,sect)])->setBinLabel(10,"MB4_SL1",1);
368  (SigmaHistos[make_pair(wh,sect)])->setBinLabel(11,"MB4_SL3",1);
369  if(sect==4){
370  (SigmaHistos[make_pair(wh,sect)])->setBinLabel(12,"MB4S13_SL1",1);
371  (SigmaHistos[make_pair(wh,sect)])->setBinLabel(13,"MB4S13_SL3",1);
372  }
373  if(sect==10){
374  (SigmaHistos[make_pair(wh,sect)])->setBinLabel(12,"MB4S14_SL1",1);
375  (SigmaHistos[make_pair(wh,sect)])->setBinLabel(13,"MB4S14_SL3",1);
376  }
377 
378 
379 }
380 
381 
382 string DTResolutionAnalysisTest::getMEName(const DTSuperLayerId & slID) {
383 
384  stringstream wheel; wheel << slID.wheel();
385  stringstream station; station << slID.station();
386  stringstream sector; sector << slID.sector();
387  stringstream superLayer; superLayer << slID.superlayer();
388 
389  string folderName =
390  topHistoFolder + "/Wheel" + wheel.str() +
391  "/Sector" + sector.str() +
392  "/Station" + station.str() + "/";
393 
394  if(doCalibAnalysis) folderName =
395  "DT/DTCalibValidation/Wheel" + wheel.str() +
396  "/Station" + station.str() + "/Sector" + sector.str() + "/";
397 
398  string histoname = folderName + "hResDist"
399  + "_W" + wheel.str()
400  + "_St" + station.str()
401  + "_Sec" + sector.str()
402  + "_SL" + superLayer.str();
403 
404  if(doCalibAnalysis) histoname = folderName + "hResDist_STEP3"
405  + "_W" + wheel.str()
406  + "_St" + station.str()
407  + "_Sec" + sector.str()
408  + "_SL" + superLayer.str();
409 
410  return histoname;
411 
412 }
413 
414 
415 
416 int DTResolutionAnalysisTest::stationFromBin(int bin) const {
417  return (int) (bin /3.1)+1;
418 }
419 
420 
421 int DTResolutionAnalysisTest::slFromBin(int bin) const {
422  int ret = bin%3;
423  if(ret == 0 || bin == 11) ret = 3;
424 
425  return ret;
426 }
427 
428 double DTResolutionAnalysisTest::meanInRange(double mean) const {
429  double value(0.);
430  if( fabs(mean) <= maxGoodMeanValue ) {value = 1.;}
431  else if( fabs(mean) > maxGoodMeanValue && fabs(mean) < minBadMeanValue ) {value = 0.9;}
432  else if( fabs(mean) >= minBadMeanValue ) {value = 0.1;}
433  return value;
434 }
435 
436 double DTResolutionAnalysisTest::sigmaInRange(double sigma) const {
437  double value(0.);
438  if( sigma <= maxGoodSigmaValue ) {value = 1.;}
439  else if( sigma > maxGoodSigmaValue && sigma < minBadSigmaValue ) {value = 0.9;}
440  else if( sigma >= minBadSigmaValue ) {value = 0.1;}
441  return value;
442 }
443 
444 void DTResolutionAnalysisTest::resetMEs() {
445  globalResSummary->Reset();
446  // Reset the summary histo
447  for(map<int, MonitorElement*> ::const_iterator histo = wheelMeanHistos.begin();
448  histo != wheelMeanHistos.end();
449  histo++) {
450  (*histo).second->Reset();
451  }
452  for(map<int, MonitorElement*> ::const_iterator histo = wheelSigmaHistos.begin();
453  histo != wheelSigmaHistos.end();
454  histo++) {
455  (*histo).second->Reset();
456  }
457 
458  for(int indx = -2; indx != 3; ++indx) {
459  meanDistr[indx]->Reset();
460  sigmaDistr[indx]->Reset();
461  }
462 }
463 
edm::ParameterSet::getUntrackedParameter
T getUntrackedParameter(std::string const &, T const &) const
DTResolutionAnalysisTest::bookHistos
void bookHistos(DQMStore::IBooker &)
Definition: DTResolutionAnalysisTest.cc:72
DTResolutionAnalysisTest::meanInRange
double meanInRange(double mean) const
Definition: DTResolutionAnalysisTest.cc:428
DTResolutionAnalysisTest::DTResolutionAnalysisTest
DTResolutionAnalysisTest(const edm::ParameterSet &ps)
Constructor.
Definition: DTResolutionAnalysisTest.cc:37
DQMStore::IGetter::get
MonitorElement * get(const std::string &path)
Definition: DQMStore.cc:305
DTResolutionAnalysisTest::getMEName
std::string getMEName(const DTSuperLayerId &slID)
Get the ME name.
Definition: DTResolutionAnalysisTest.cc:382
weight
Definition: weight.py:1
DTResolutionAnalysisTest::~DTResolutionAnalysisTest
virtual ~DTResolutionAnalysisTest()
Destructor.
Definition: DTResolutionAnalysisTest.cc:54
MonitorElement::getMean
double getMean(int axis=1) const
get mean value of histogram along x, y or z axis (axis=1, 2, 3 respectively)
Definition: MonitorElement.cc:704
bookHistos
void bookHistos()
Definition: Histogram.h:33
mps_splice.entry
entry
Definition: mps_splice.py:62
HcalObjRepresent::Fill
void Fill(HcalDetId &id, double val, std::vector< TH2F > &depth)
Definition: HcalObjRepresent.h:611
DQMStore::IBooker::book1D
MonitorElement * book1D(Args &&...args)
Definition: DQMStore.h:115
funct::abs
Abs< T >::type abs(const T &t)
Definition: Abs.h:22
DTSuperLayerId::superLayer
int superLayer() const
Return the superlayer number.
Definition: DTSuperLayerId.h:49
LogTrace
#define LogTrace(id)
Definition: PFTrackAlgoTools.cc:504
stringResolutionProvider_cfi.bin
bin
set the eta bin as selection string.
Definition: stringResolutionProvider_cfi.py:11
DQMStore::IGetter::dirExists
bool dirExists(const std::string &path)
Definition: DQMStore.cc:335
DTSuperLayerId::superlayer
int superlayer() const
Return the superlayer number (deprecated method name)
Definition: DTSuperLayerId.h:55
DQMStore::IBooker::setCurrentFolder
void setCurrentFolder(const std::string &fullpath)
Definition: DQMStore.cc:277
DQMStore::IBooker::book2D
MonitorElement * book2D(Args &&...args)
Definition: DQMStore.h:133
edm::EventSetup::get
const T & get() const
Definition: EventSetup.h:55
MonitorElement::getTH1F
TH1F * getTH1F(void) const
Definition: MonitorElement.cc:1465
edm
HLT enums.
Definition: AlignableModifier.h:17
MonitorElement::getRMS
double getRMS(int axis=1) const
get RMS of histogram along x, y or z axis (axis=1, 2, 3 respectively)
Definition: MonitorElement.cc:717
DTResolutionAnalysisTest::sigmaInRange
double sigmaInRange(double sigma) const
Definition: DTResolutionAnalysisTest.cc:436
DTChamberId::sector
int sector() const
Definition: DTChamberId.h:61
DTResolutionAnalysisTest::dqmEndJob
void dqmEndJob(DQMStore::IBooker &, DQMStore::IGetter &)
Definition: DTResolutionAnalysisTest.cc:127
DTChamberId::station
int station() const
Return the station number.
Definition: DTChamberId.h:51
mps_merge.weight
weight
Definition: mps_merge.py:86
DTChamberId::wheel
int wheel() const
Return the wheel number.
Definition: DTChamberId.h:45
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:955
DTResolutionAnalysisTest::beginRun
void beginRun(const edm::Run &r, const edm::EventSetup &c)
BeginRun.
Definition: DTResolutionAnalysisTest.cc:60
edm::Run
Definition: Run.h:42
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