47 _presample( iConfig.getUntrackedParameter< double >(
"nPresamples", 6.7 ) ),
48 _nsamplesaftmax(iConfig.getUntrackedParameter< unsigned int >(
"nSamplesAftMax", 80 ) ),
49 _noiseCut( iConfig.getUntrackedParameter< unsigned int >(
"noiseCut", 7 ) ),
50 _parabnbefmax( iConfig.getUntrackedParameter< unsigned int >(
"paraBeforeMax", 8 ) ),
51 _parabnaftmax( iConfig.getUntrackedParameter< unsigned int >(
"paraAfterMax", 7 ) ),
52 _thres( iConfig.getUntrackedParameter< unsigned int >(
"threshold", 10 ) ),
53 _lowlev( iConfig.getUntrackedParameter< unsigned int >(
"lowLevel", 20 ) ),
54 _highlev( iConfig.getUntrackedParameter< unsigned int >(
"highLevel", 80 ) ),
55 _nevlasers( iConfig.getUntrackedParameter< unsigned int >(
"nEventLaser", 600 ) ),
56 _timebefmax( iConfig.getUntrackedParameter< unsigned int >(
"timeBefMax", 100 ) ),
57 _timeaftmax( iConfig.getUntrackedParameter< unsigned int >(
"timeAftMax", 250 ) ),
58 _cutwindow( iConfig.getUntrackedParameter< double >(
"cutWindow", 0.1 ) ),
59 _nsamplesshape( iConfig.getUntrackedParameter< unsigned int >(
"nSamplesShape", 250 ) ),
60 _presampleshape(iConfig.getUntrackedParameter< unsigned int >(
"nPresamplesShape",50 ) ),
61 _slide( iConfig.getUntrackedParameter< unsigned int >(
"nSlide", 100 ) ),
62 _fedid( iConfig.getUntrackedParameter< int >(
"fedID", -999 ) ),
63 _debug( iConfig.getUntrackedParameter< int >(
"debug", 0 ) ),
101 sampfile+=
"/TmpTreeMatacqAnalyzer.root";
108 tree =
new TTree(
"MatacqTree",
"MatacqTree");
113 tree->Branch(
"event", &
event,
"event/I" );
114 tree->Branch(
"color", &
color ,
"color/I" );
115 tree->Branch(
"matacq", &
matacq ,
"matacq[2560]/D" );
116 tree->Branch(
"nsamples", &
nsamples ,
"nsamples/I" );
117 tree->Branch(
"maxsamp", &
maxsamp ,
"maxsamp/I" );
118 tree->Branch(
"tt", &
tt ,
"tt/D" );
119 tree->Branch(
"lightside", &
lightside ,
"lightside/I" );
121 tree->SetBranchAddress(
"event", &
event );
122 tree->SetBranchAddress(
"color", &
color );
123 tree->SetBranchAddress(
"matacq",
matacq );
124 tree->SetBranchAddress(
"nsamples", &
nsamples );
125 tree->SetBranchAddress(
"maxsamp", &
maxsamp );
126 tree->SetBranchAddress(
"tt", &
tt );
127 tree->SetBranchAddress(
"lightside", &
lightside );
134 namefile <<
resdir_ <<
"/MATACQ.root";
158 matacqDigi=pmatacqDigi.
product();
159 if (
_debug==1 )
std::cout <<
"-- debug test -- Matacq Digis Found -- "<< std::endl;
163 if (
_debug==1 )
std::cout <<
"-- debug test -- No Matacq Digis Found -- "<< std::endl;
173 DCCHeader=pDCCHeader.
product();
183 if (
_debug==1)
std::cout <<
"-- debug test -- Before header -- "<< std::endl;
190 if(
color<0 )
return;
194 int fed = headerItr->fedId();
198 runType=headerItr->getRunType();
199 runNum=headerItr->getRunNumber();
200 event=headerItr->getLV1();
204 dccID=headerItr->getDccInTCCCommand();
205 fedID=headerItr->fedId();
259 std::cout <<
"-- debug test -- Inside digis -- digi size="<<digis.
size()<< std::endl;
262 if(digis.
size()== 0 )
continue;
270 for(
int i=0;
i<digis.
size(); ++
i){
278 std::cout <<
"-- debug test -- Inside digis -- nsamples="<<
nsamples<<
", max="<<max<< std::endl;
297 std::cout <<
"\n\t+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+" << std::endl;
298 std::cout <<
"\t+=+ WARNING! NO MATACQ +=+" << std::endl;
299 std::cout <<
"\t+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+" << std::endl;
306 std::stringstream del2;
308 system(del2.str().c_str());
314 unsigned int nCol=
colors.size();
316 for(
unsigned int iCol=0;iCol<nCol;iCol++){
317 for(
unsigned int iSide=0;iSide<
nSide;iSide++){
327 std::cout <<
"\n\t+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+" << std::endl;
328 std::cout <<
"\t+=+ Analyzing MATACQ data +=+" << std::endl;
335 mtqShape =
new TTree(
"MatacqShape",
"MatacqShape");
373 unsigned int endsample;
374 unsigned int presample;
379 TChain* fChain = (TChain*)
tree;
380 Long64_t nentries = fChain->GetEntriesFast();
381 Long64_t nbytes = 0, nb = 0;
383 for( Long64_t jentry=0; jentry<nentries; jentry++ )
386 Long64_t ientry = fChain->LoadTree(jentry);
387 if (ientry < 0)
break;
388 nb = fChain->GetEntry( jentry ); nbytes += nb;
405 if (
_debug==1)
std::cout <<
"-- debug test -- inside loop 1 -- jentry:"<<jentry<<
" over nentries="<<nentries<< std::endl;
416 if (
_debug==1)
std::cout <<
"-- debug test -- inside loop 2 -- "<< std::endl;
432 if( mtq->
doFit()==0 )
458 if (
_debug==1)
std::cout <<
"-- debug test -- inside loop 7 -- firstS:"<<firstS<<
", nsamples:"<<
nsamples<< std::endl;
462 for (
int i=firstS;
i<lastS;
i++){
463 shapeMatTmp->Fill(
double(
i)-firstS,
matacq[
i]);
477 for(
int i=firstS;
i<0;
i++){
478 shapeMatTmp->Fill(
double(
i)-firstS,thisped);
490 shapeMatTmp->Fill(
double(
i)-firstS,
matacq[
i]);
499 shapeMatTmp->Fill(
double(
i)-firstS,matacqval);
504 for (
int i=firstSBis;
i<lastS;
i++){
505 shapeMatTmp->Fill(
double(
i)-firstS,
matacq[
i]);
511 if (
_debug==1)
std::cout <<
"-- debug test -- inside loop 8"<< std::endl;
516 for(
unsigned int i=0;
i<nCol;
i++){
522 if (
_debug==1)
std::cout <<
"-- debug test -- inside loop 8bis color:"<<
color<<
" iCol:"<<iCol<<
" nCol:"<< nCol<< std::endl;
526 if(
status == 1 && mtq->
findPeak()==0 && mtq->
doFit()==0 && mtq->
compute_trise()==0 )
MTQ[iCol][
lightside]->
addEntry(
peak,
sigma,
fit,
ampl,
trise,
fwhm,
fw20,
fw80,
ped,
pedsig,
sliding);
530 if (
_debug==1)
std::cout <<
"-- debug test -- inside loop 9"<< std::endl;
540 double Peak[6], Sigma[6],
Fit[6], Ampl[6], Trise[6], Fwhm[6], Fw20[6], Fw80[6], Ped[6], Pedsig[6], Sliding[6];
543 for (
unsigned int iColor=0;iColor<nCol;iColor++){
545 std::stringstream nametree;
546 nametree <<
"MatacqCol"<<
colors[iColor];
547 meanTree[iColor]=
new TTree(nametree.str().c_str(),nametree.str().c_str());
548 meanTree[iColor]->Branch(
"side", &Side ,
"Side/I" );
549 meanTree[iColor]->Branch(
"peak", &Peak ,
"Peak[6]/D" );
550 meanTree[iColor]->Branch(
"sigma", &Sigma ,
"Sigma[6]/D" );
551 meanTree[iColor]->Branch(
"fit", &Fit ,
"Fit[6]/D" );
552 meanTree[iColor]->Branch(
"ampl", &Ampl ,
"Ampl[6]/D" );
553 meanTree[iColor]->Branch(
"trise", &Trise ,
"Trise[6]/D" );
554 meanTree[iColor]->Branch(
"fwhm", &Fwhm ,
"Fwhm[6]/D" );
555 meanTree[iColor]->Branch(
"fw20", &Fw20 ,
"Fw20[6]/D" );
556 meanTree[iColor]->Branch(
"fw80", &Fw80 ,
"Fw80[6]/D" );
557 meanTree[iColor]->Branch(
"ped", &Ped ,
"Ped[6]/D" );
558 meanTree[iColor]->Branch(
"pedsig", &Pedsig ,
"Pedsig[6]/D" );
559 meanTree[iColor]->Branch(
"sliding", &Sliding ,
"Sliding[6]/D" );
561 meanTree[iColor]->SetBranchAddress(
"side", &Side );
562 meanTree[iColor]->SetBranchAddress(
"peak", Peak );
563 meanTree[iColor]->SetBranchAddress(
"sigma", Sigma );
564 meanTree[iColor]->SetBranchAddress(
"fit", Fit );
565 meanTree[iColor]->SetBranchAddress(
"ampl", Ampl );
566 meanTree[iColor]->SetBranchAddress(
"fwhm", Fwhm );
567 meanTree[iColor]->SetBranchAddress(
"fw20", Fw20 );
568 meanTree[iColor]->SetBranchAddress(
"fw80", Fw80 );
569 meanTree[iColor]->SetBranchAddress(
"trise", Trise );
570 meanTree[iColor]->SetBranchAddress(
"ped", Ped );
571 meanTree[iColor]->SetBranchAddress(
"pedsig", Pedsig );
572 meanTree[iColor]->SetBranchAddress(
"sliding", Sliding );
576 for(
unsigned int iCol=0;iCol<nCol;iCol++){
577 for(
unsigned int iSide=0;iSide<
nSides;iSide++){
583 val[iVar] =
MTQ[iCol][iSide]->
get(iVar);
585 for(
unsigned int i=0;
i<val[iVar].size();
i++){
604 if (
_debug==1)
std::cout <<
"-- debug test -- inside final loop "<< std::endl;
610 int im = shapeMatTmp->GetMaximumBin();
611 double q1=shapeMatTmp->GetBinContent(im-1);
612 double q2=shapeMatTmp->GetBinContent(im);
613 double q3=shapeMatTmp->GetBinContent(im+1);
615 double a2=(q3+
q1)/2.0-q2;
616 double a1=q2-q1+a2*(1-2*im);
617 double a0=q2-a1*im-a2*im*im;
619 double am=a0-a1*a1/(4*a2);
626 bl+=shapeMatTmp->GetBinContent(
i);
632 if (
_debug==1)
std::cout <<
"-- debug test -- computing shape "<< std::endl;
638 height=shapeMatTmp->GetBinContent(
i)-bl;
648 for(
unsigned int i=firstBin;
i<lastBin;
i++){
649 shapeMat->Fill(
i-firstBin,shapeMatTmp->GetBinContent(
i)-bl);
653 for (
unsigned int iColor=0;iColor<nCol;iColor++){
666 std::stringstream del2;
668 system(del2.str().c_str());
671 std::cout <<
"\t+=+ .................... done +=+" << std::endl;
672 std::cout <<
"\t+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+=+" << std::endl;
T getParameter(std::string const &) const
T getUntrackedParameter(std::string const &, T const &) const
unsigned int _presampleshape
virtual void analyze(const edm::Event &e, const edm::EventSetup &c)
EcalMatacqAnalyzer(const edm::ParameterSet &iConfig)
std::vector< int > colors
#define DEFINE_FWK_MODULE(type)
unsigned int _nsamplesshape
std::vector< EcalDCCHeaderBlock >::const_iterator const_iterator
std::string eventHeaderProducer_
TMTQ * MTQ[nColor][nSide]
void find(edm::Handle< EcalRecHitCollection > &hits, DetId thisDet, std::vector< EcalRecHitCollection::const_iterator > &hit, bool debug=false)
const float adcCount(const int &i) const
std::string eventHeaderCollection_
std::string digiProducer_
std::vector< double > get(int)
int rawPulseAnalysis(Int_t, Double_t *)
How EventSelector::AcceptEvent() decides whether to accept an event for output otherwise it is excluding the probing of A single or multiple positive and the trigger will pass if any such matching triggers are PASS or EXCEPTION[A criterion thatmatches no triggers at all is detected and causes a throw.] A single negative with an expectation of appropriate bit checking in the decision and the trigger will pass if any such matching triggers are FAIL or EXCEPTION A wildcarded negative criterion that matches more than one trigger in the trigger but the state exists so we define the behavior If all triggers are the negative crieriion will lead to accepting the event(this again matches the behavior of"!*"before the partial wildcard feature was incorporated).The per-event"cost"of each negative criterion with multiple relevant triggers is about the same as!*was in the past
bool getByLabel(InputTag const &tag, Handle< PROD > &result) const
const_iterator end() const
unsigned int _parabnaftmax
T const * product() const
std::string digiCollection_
unsigned int _nsamplesaftmax
const_iterator begin() const
unsigned int _parabnbefmax