CSCGainsConditions.cc

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#include <fstream>

#include "CalibMuon/CSCCalibration/interface/CSCGainsConditions.h"

CSCGains * CSCGainsConditions::prefillGains(){

  float mean,min,minchi;
  int seed;
  int old_chamber_id,old_strip,new_chamber_id,new_strip;
  float old_gainslope,old_intercpt, old_chisq;
  std::vector<int> old_cham_id;
  std::vector<int> old_strips;
  std::vector<float> old_slope;
  std::vector<float> old_intercept;
  std::vector<float> old_chi2;
  float new_gainslope,new_intercpt, new_chisq;
  std::vector<int> new_cham_id;
  std::vector<int> new_strips;
  std::vector<float> new_slope;
  std::vector<float> new_intercept;
  std::vector<float> new_chi2;

  const CSCDetId& detId = CSCDetId();
  CSCGains * cngains = new CSCGains();
      
  int max_istrip,id_layer,max_ring,max_cham;
  unsigned int old_nrlines=0;
  unsigned int new_nrlines=0;
  seed = 10000; 
  srand(seed);
  mean=6.8, min=-10.0, minchi=1.0;

  std::ifstream olddata; 
  olddata.open("old_gains.dat",std::ios::in); 
  if(!olddata) {
    std::cerr <<"Error: old_gains.dat -> no such file!"<< std::endl;
    exit(1);
  }
  
  while (!olddata.eof() ) { 
    olddata >> old_chamber_id >> old_strip >> old_gainslope >> old_intercpt >> old_chisq ; 
    old_cham_id.push_back(old_chamber_id);
    old_strips.push_back(old_strip);
    old_slope.push_back(old_gainslope);
    old_intercept.push_back(old_intercpt);
    old_chi2.push_back(old_chisq);
    old_nrlines++;
  }
  olddata.close();

  std::ifstream newdata;
  newdata.open("new_gains.txt",std::ios::in); 
  if(!newdata) {
    std::cerr <<"Error: new_gains.txt -> no such file!"<< std::endl;
    exit(1);
  }
  
  while (!newdata.eof() ) { 
    newdata >> new_chamber_id >> new_strip >> new_gainslope >> new_intercpt >> new_chisq ; 
    new_cham_id.push_back(new_chamber_id);
    new_strips.push_back(new_strip);
    new_slope.push_back(new_gainslope);
    new_intercept.push_back(new_intercpt);
    new_chi2.push_back(new_chisq);
    new_nrlines++;
  }
  newdata.close();


  //endcap=1 to 2,station=1 to 4, ring=1 to 4,chamber=1 to 36,layer=1 to 6 
  for(int iendcap=detId.minEndcapId(); iendcap<=detId.maxEndcapId(); iendcap++){
    for(int istation=detId.minStationId() ; istation<=detId.maxStationId(); istation++){
      max_ring=detId.maxRingId();
      //station 4 ring 4 not there(36 chambers*2 missing)
      //3 rings max this way of counting (ME1a & b)
      if(istation==1)    max_ring=3;
      if(istation==2)    max_ring=2;
      if(istation==3)    max_ring=2;
      if(istation==4)    max_ring=1;
      
      for(int iring=detId.minRingId(); iring<=max_ring; iring++){
    max_istrip=80;
    max_cham=detId.maxChamberId();  
    if(istation==1 && iring==1)    max_cham=36;
    if(istation==1 && iring==2)    max_cham=36;
    if(istation==1 && iring==3)    max_cham=36;
    if(istation==2 && iring==1)    max_cham=18;
    if(istation==2 && iring==2)    max_cham=36;
    if(istation==3 && iring==1)    max_cham=18;
    if(istation==3 && iring==2)    max_cham=36;
    if(istation==4 && iring==1)    max_cham=18;
    
    for(int ichamber=detId.minChamberId(); ichamber<=max_cham; ichamber++){
      for(int ilayer=detId.minLayerId(); ilayer<=detId.maxLayerId(); ilayer++){
        //station 1 ring 3 has 64 strips per layer instead of 80 
        if(istation==1 && iring==3)   max_istrip=64;
        
        std::vector<CSCGains::Item> itemvector;
        itemvector.resize(max_istrip);
        id_layer = 100000*iendcap + 10000*istation + 1000*iring + 10*ichamber + ilayer;
        
        for(int istrip=0;istrip<max_istrip;istrip++){
          itemvector[istrip].gain_slope=((double)rand()/((double)(RAND_MAX)+(double)(1)))+mean;
          itemvector[istrip].gain_intercept=((double)rand()/((double)(RAND_MAX)+(double)(1)))+min;
          itemvector[istrip].gain_chi2=((double)rand()/((double)(RAND_MAX)+(double)(1)))+minchi;
          cngains->gains[id_layer]=itemvector;
        }
      }
    }
      }
    }
  }

  //overwrite fakes with old values from DB
  int istrip = 0;
  std::vector<CSCGains::Item> itemvector;
  itemvector.resize(80);
  
  for(unsigned int mystrip=0; mystrip<old_nrlines-1; mystrip++){
    if(old_strips[mystrip]==0) istrip = 0;
    itemvector[istrip].gain_slope=old_slope[mystrip];
    itemvector[istrip].gain_intercept=old_intercept[mystrip]; 
    itemvector[istrip].gain_chi2=old_chi2[mystrip];
    cngains->gains[old_cham_id[mystrip]]=itemvector;
    istrip++;
  }  
  
  
  itemvector.resize(64);
  for(unsigned int mystrip=0; mystrip<old_nrlines-1; mystrip++){
    if(old_strips[mystrip]==0) istrip = 0;
    if(old_cham_id[mystrip] >= 113000 && old_cham_id[mystrip] <= 113999){
      itemvector[istrip].gain_slope=old_slope[mystrip];
      itemvector[istrip].gain_intercept=old_intercept[mystrip]; 
      itemvector[istrip].gain_chi2=old_chi2[mystrip];
      cngains->gains[old_cham_id[mystrip]]=itemvector;
      istrip++;
    }
  } 
  
  itemvector.resize(64);
  for(unsigned int mystrip=0; mystrip<old_nrlines-1; mystrip++){
    if(old_strips[mystrip]==0) istrip = 0;
    if(old_cham_id[mystrip] >= 213000 && old_cham_id[mystrip] <= 213999){
      itemvector[istrip].gain_slope=old_slope[mystrip];
      itemvector[istrip].gain_intercept=old_intercept[mystrip]; 
      itemvector[istrip].gain_chi2=old_chi2[mystrip];
      cngains->gains[old_cham_id[mystrip]]=itemvector;
      istrip++;
    }
  }   
  
  //overwrite old values with ones from new runs
  itemvector.resize(80);
  for(unsigned int mystrip=0; mystrip<new_nrlines-1; mystrip++){
    if(new_strips[mystrip]==0) istrip = 0;
    itemvector[istrip].gain_slope=new_slope[mystrip];
    itemvector[istrip].gain_intercept=new_intercept[mystrip]; 
    itemvector[istrip].gain_chi2=new_chi2[mystrip];
    cngains->gains[new_cham_id[mystrip]]=itemvector;
    istrip++;
  }
    
  itemvector.resize(64);
  for(unsigned int mystrip=0; mystrip<new_nrlines-1; mystrip++){
    if(new_strips[mystrip]==0) istrip = 0;
    if(new_cham_id[mystrip] >= 113000 && new_cham_id[mystrip] <= 113999){
      itemvector[istrip].gain_slope=new_slope[mystrip];
      itemvector[istrip].gain_intercept=new_intercept[mystrip]; 
      itemvector[istrip].gain_chi2=new_chi2[mystrip];
      cngains->gains[new_cham_id[mystrip]]=itemvector;
      istrip++;
    }
  } 
  
  itemvector.resize(64);
  for(unsigned int mystrip=0; mystrip<new_nrlines-1; mystrip++){
    if(new_strips[mystrip]==0) istrip = 0;
    if(new_cham_id[mystrip] >= 213000 && new_cham_id[mystrip] <= 213999){
      itemvector[istrip].gain_slope=new_slope[mystrip];
      itemvector[istrip].gain_intercept=new_intercept[mystrip]; 
      itemvector[istrip].gain_chi2=new_chi2[mystrip];
      cngains->gains[new_cham_id[mystrip]]=itemvector;
      istrip++;
    }
  } 
  return cngains;
}


CSCGainsConditions::CSCGainsConditions(const edm::ParameterSet& iConfig)
{
  //the following line is needed to tell the framework what
  // data is being produced
  cnGains = prefillGains();
  // added by Zhen (changed since 1_2_0)
  setWhatProduced(this,&CSCGainsConditions::produceGains);
  findingRecord<CSCGainsRcd>();
  //now do what ever other initialization is needed
}


CSCGainsConditions::~CSCGainsConditions()
{
 
   // do anything here that needs to be done at desctruction time
   // (e.g. close files, deallocate resources etc.)
  delete cnGains;
}


//
// member functions
//

// ------------ method called to produce the data  ------------
CSCGainsConditions::ReturnType
CSCGainsConditions::produceGains(const CSCGainsRcd& iRecord)
{
  // Added by Zhen, need a new object so to not be deleted at exit
  CSCGains* mydata=new CSCGains( *cnGains );
  
  return mydata;
  
}

 void CSCGainsConditions::setIntervalFor(const edm::eventsetup::EventSetupRecordKey &, const edm::IOVSyncValue&,
 edm::ValidityInterval & oValidity)
 {
 oValidity = edm::ValidityInterval(edm::IOVSyncValue::beginOfTime(),edm::IOVSyncValue::endOfTime());
 
 }