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#include <TrkLevel1.h> |
#include <TrkLevel1.h> |
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#include <iostream> |
#include <iostream> |
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using namespace std; |
using namespace std; |
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//...................................... |
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// F77 routines |
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//...................................... |
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extern "C" { |
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// int readetaparam_(); |
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float cog_(int*,int*); |
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float pfaeta_(int*,float*); |
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float pfaeta2_(int*,float*); |
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float pfaeta3_(int*,float*); |
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float pfaeta4_(int*,float*); |
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} |
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//-------------------------------------- |
//-------------------------------------- |
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// |
// |
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// |
// |
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// |
// |
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//-------------------------------------- |
//-------------------------------------- |
76 |
/** |
/** |
77 |
* Evaluate the cluster signal. |
* Evaluate the cluster signal including a maximum number of adjacent |
78 |
* @param cut Inclusion cut. |
* strips, around maxs, having a significant signal. |
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* @param nstrip Maximum number of strips. |
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* @param cut Inclusion cut ( s > cut*sigma ). |
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* If nstrip<=0 only the inclusion cut is used to determine the cluster size. |
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*/ |
*/ |
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Float_t TrkCluster::GetSignal(Float_t cut){ |
Float_t TrkCluster::GetSignal(Int_t nstrip, Float_t cut){ |
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Float_t s = 0; |
|
85 |
for(Int_t is = 0; is < CLlength; is++){ |
Float_t s = 0; |
86 |
Float_t scut = cut*clsigma[is]; |
|
87 |
if(clsignal[is] > scut) s += clsignal[is]; |
if( nstrip<=0 ){ |
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// for(Int_t is = 0; is < CLlength; is++){ |
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// Float_t scut = cut*clsigma[is]; |
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// if(clsignal[is] > scut) s += clsignal[is]; |
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// }; |
92 |
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for(Int_t is = indmax+1; is < CLlength; is++){ |
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Float_t scut = cut*clsigma[is]; |
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if(clsignal[is] > scut) s += clsignal[is]; |
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else break; |
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}; |
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for(Int_t is = indmax; is >=0; is--){ |
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Float_t scut = cut*clsigma[is]; |
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if(clsignal[is] > scut) s += clsignal[is]; |
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else break; |
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}; |
}; |
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return s; |
return s; |
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}; |
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Int_t il = indmax; |
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Int_t ir = indmax; |
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Int_t inc = 0; |
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110 |
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if( clsignal[indmax] < cut*clsigma[indmax] ) return 0; |
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112 |
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while ( inc < nstrip ){ |
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Float_t sl = -100000; |
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Float_t sr = -100000; |
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if( il >= 0 ) sl = clsignal[il]; |
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if( ir < CLlength ) sr = clsignal[ir]; |
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if( sl == sr && inc == 0 ){ |
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s += clsignal[il]; //cout << inc<<" - "<< clsignal[il]<<" "<<s<<endl; |
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il--; |
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ir++; |
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}else if ( sl >= sr && sl > cut*clsigma[il] && inc !=0 ){ |
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s += sl;//cout << inc<<" - "<< clsignal[il]<<" "<<s<<endl; |
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il--; |
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}else if ( sl < sr && sr > cut*clsigma[ir] ){ |
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s += sr;//cout << inc<<" - " << clsignal[ir]<<" "<<s<<endl; |
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ir++; |
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}else break; |
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inc++; |
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} |
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return s; |
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}; |
}; |
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/** |
/** |
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* Evaluate the cluster signal-to-noise, as defined by Turchetta. |
including a ( maximum ) fixed number of adjacent strips (with s>0) around the maxs. |
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* @param cut Inclusion cut. |
* @param nstrip Number of strips. |
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*/ |
*/ |
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Float_t TrkCluster::GetSignalToNoise(Float_t cut){ |
/** |
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Float_t sn = 0; |
* Evaluate the cluster signal-to-noise, as defined by Turchetta, including a maximum number of adjacent strips, around maxs, having a significant signal. |
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for(Int_t is = 0; is < CLlength; is++){ |
* @param nstrip Maximum number of strips. |
141 |
Float_t scut = cut*clsigma[is]; |
* @param cut Inclusion cut ( s > cut*sigma ). |
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if(clsignal[is] > scut) sn += clsignal[is]/clsigma[is]; |
* If nstrip<=0 only the inclusion cut is used to determine the cluster size. |
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*/ |
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Float_t TrkCluster::GetSignalToNoise(Int_t nstrip, Float_t cut){ |
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Float_t sn = 0; |
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148 |
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if( nstrip<=0 ){ |
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for(Int_t is = indmax+1; is < CLlength; is++){ |
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Float_t scut = cut*clsigma[is]; |
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if(clsignal[is] > scut) sn += clsignal[is]/clsigma[is]; |
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else break; |
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}; |
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for(Int_t is = indmax; is >=0; is--){ |
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Float_t scut = cut*clsigma[is]; |
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if(clsignal[is] > scut) sn += clsignal[is]/clsigma[is]; |
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else break; |
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}; |
}; |
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return sn; |
return sn; |
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}; |
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Int_t il = indmax; |
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Int_t ir = indmax; |
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Int_t inc = 0; |
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if( clsignal[indmax] < cut*clsigma[indmax] ) return 0; |
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169 |
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while ( inc < nstrip ){ |
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Float_t sl = -100000; |
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Float_t sr = -100000; |
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if( il >= 0 ) sl = clsignal[il]; |
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if( ir < CLlength ) sr = clsignal[ir]; |
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if( sl == sr && inc == 0 ){ |
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sn += clsignal[il]/clsigma[il]; |
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il--; |
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ir++; |
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}else if ( sl >= sr && sl > cut*clsigma[il] && inc !=0 ){ |
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sn += sl/clsigma[il]; |
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il--; |
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}else if ( sl < sr && sr > cut*clsigma[ir] ){ |
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sn += sr/clsigma[ir]; |
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ir++; |
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}else break; |
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inc++; |
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} |
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return sn; |
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}; |
}; |
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/** |
/** |
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* Evaluate the cluster multiplicity. |
* Evaluate the cluster multiplicity. |
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// |
// |
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// |
// |
267 |
//-------------------------------------- |
//-------------------------------------- |
268 |
TrkLevel1::TrkLevel1(){ |
/** |
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* Method to fill a level1 struct with only one cluster (done to use F77 p.f.a. routines on a cluster basis). |
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*/ |
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cTrkLevel1* TrkCluster::GetLevel1Struct(){ |
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// cTrkLevel1* l1 = new cTrkLevel1; |
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275 |
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cTrkLevel1* l1 = &level1event_ ; |
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277 |
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l1->nclstr1 = 1; |
278 |
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l1->view[0] = view; |
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l1->ladder[0] = GetLadder(); |
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l1->maxs[0] = maxs; |
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l1->mult[0] = GetMultiplicity(); |
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l1->dedx[0] = GetSignal(); |
283 |
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l1->indstart[0] = 1; |
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l1->indmax[0] = indmax+1; |
285 |
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l1->totCLlength = CLlength; |
286 |
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for(Int_t i=0; i<CLlength; i++){ |
287 |
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l1->clsignal[i] = clsignal[i]; |
288 |
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l1->clsigma[i] = clsigma[i]; |
289 |
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l1->cladc[i] = cladc[i]; |
290 |
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l1->clbad[i] = clbad[i]; |
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}; |
292 |
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293 |
// good1 = -1; |
return l1; |
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}; |
295 |
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//-------------------------------------- |
296 |
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// |
297 |
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// |
298 |
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//-------------------------------------- |
299 |
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/** |
300 |
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* Evaluates the Center-Of-Gravity (COG) of the cluster, in strips, relative to the strip with the maximum signal (TrkCluster::maxs). |
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* @param ncog Number of strips to evaluate COG. |
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* If ncog=0, the COG of the cluster is evaluated according to the cluster multiplicity (defined by the inclusion cut). |
303 |
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* If ncog>0, the COG is evaluated using ncog strips, even if they have a negative signal (according to G.Landi) |
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*/ |
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Float_t TrkCluster::GetCOG(Int_t ncog){ |
306 |
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307 |
Cluster = new TClonesArray("TrkCluster"); |
int ic = 1; |
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GetLevel1Struct(); |
309 |
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return cog_(&ncog,&ic); |
310 |
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311 |
for(Int_t i=0; i<12 ; i++){ |
}; |
312 |
// crc[i] = -1; |
/** |
313 |
good[i] = -1; |
* Evaluates the Center-Of-Gravity (COG) of the cluster, in strips, relative to the strip with the maximum signal (TrkCluster::maxs), |
314 |
for(Int_t j=0; j<24 ; j++){ |
* choosing the number of strips according to the angle, as implemented for the eta-algorythm . |
315 |
cnev[j][i]=0; |
* @param angle Projected angle in degree. |
316 |
cnnev[j][i]=0; |
*/ |
317 |
}; |
Float_t TrkCluster::GetCOG(Float_t angle){ |
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// fshower[i]=0; |
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319 |
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Int_t neta = 0; |
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// Float_t eta = GetETA(0,angle); |
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// for(neta=2; neta<10; neta++) if( eta == GetETA(neta,angle) ) break; |
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// if(eta != GetETA(neta,angle) )cout << "Attenzione!! pasticcio "<<endl; |
324 |
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325 |
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if( view%2 ){ //Y |
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neta=2; |
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}else{ //X |
328 |
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if( fabs(angle) <= 10. ){ |
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neta = 2; |
330 |
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}else if( fabs(angle) > 10. && fabs(angle) <= 15. ){ |
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neta = 3; |
332 |
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}else{ |
333 |
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neta = 4; |
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}; |
335 |
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}; |
336 |
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return GetCOG(neta); |
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}; |
340 |
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//-------------------------------------- |
341 |
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// |
342 |
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// |
343 |
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//-------------------------------------- |
344 |
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/** |
345 |
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* Evaluates the cluster position, in strips, relative to the strip with the maximum signal (TrkCluster::maxs), by applying the non-linear ETA-algorythm. |
346 |
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* @param neta Number of strips to evaluate ETA. |
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* @param angle Projected angle between particle track and detector plane. |
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* Implemented values of neta are 2,3,4. If neta=0, ETA2, ETA3 and ETA4 are applied according to the angle. |
349 |
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*/ |
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Float_t TrkCluster::GetETA(Int_t neta, float angle){ |
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// cout << "GetETA(neta,angle) "<< neta << " "<< angle; |
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// LoadPfaParam(); |
354 |
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float ax = angle; |
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int ic = 1; |
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GetLevel1Struct(); |
358 |
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if(neta == 0) return pfaeta_(&ic,&ax); |
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else if(neta == 2) return pfaeta2_(&ic,&ax); |
360 |
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else if(neta == 3) return pfaeta3_(&ic,&ax); |
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else if(neta == 4) return pfaeta4_(&ic,&ax); |
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else cout << "ETA"<<neta<<" not implemented\n"; |
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return 0; |
364 |
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}; |
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//-------------------------------------- |
368 |
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// |
369 |
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// |
370 |
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//-------------------------------------- |
371 |
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TrkLevel1::TrkLevel1(){ |
372 |
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Cluster = new TClonesArray("TrkCluster"); |
374 |
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375 |
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for(Int_t i=0; i<12 ; i++){ |
376 |
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good[i] = -1; |
377 |
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for(Int_t j=0; j<24 ; j++){ |
378 |
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cn[j][i]=0; |
379 |
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// cnrms[j][i]=0; |
380 |
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cnn[j][i]=0; |
381 |
}; |
}; |
382 |
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}; |
383 |
} |
} |
384 |
//-------------------------------------- |
//-------------------------------------- |
385 |
// |
// |
387 |
//-------------------------------------- |
//-------------------------------------- |
388 |
void TrkLevel1::Dump(){ |
void TrkLevel1::Dump(){ |
389 |
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|
390 |
cout<<"DSP status: "; |
cout<<"DSP status: "; |
391 |
for(Int_t i=0; i<12 ; i++)cout<<good[i]<<" "; |
for(Int_t i=0; i<12 ; i++)cout<<good[i]<<" "; |
392 |
cout<<endl; |
cout<<endl; |
393 |
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TClonesArray &t = *Cluster; |
TClonesArray &t = *Cluster; |
395 |
for(int i=0; i<this->nclstr(); i++) ((TrkCluster *)t[i])->Dump(); |
for(int i=0; i<this->nclstr(); i++) ((TrkCluster *)t[i])->Dump(); |
396 |
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|
397 |
} |
} |
398 |
//-------------------------------------- |
//-------------------------------------- |
399 |
// |
// |
404 |
*/ |
*/ |
405 |
void TrkLevel1::SetFromLevel1Struct(cTrkLevel1 *l1){ |
void TrkLevel1::SetFromLevel1Struct(cTrkLevel1 *l1){ |
406 |
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|
407 |
// *** CLUSTER *** |
// *** CLUSTER *** |
408 |
TrkCluster* t_cl = new TrkCluster(); |
TrkCluster* t_cl = new TrkCluster(); |
409 |
TClonesArray &t = *Cluster; |
TClonesArray &t = *Cluster; |
410 |
for(int i=0; i<l1->nclstr1; i++){ |
for(int i=0; i<l1->nclstr1; i++){ |
411 |
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|
412 |
t_cl->view = l1->view[i]; |
t_cl->view = l1->view[i]; |
413 |
t_cl->maxs = l1->maxs[i]; |
t_cl->maxs = l1->maxs[i]; |
414 |
t_cl->indmax = l1->indmax[i] - l1->indstart[i]; |
t_cl->indmax = l1->indmax[i] - l1->indstart[i]; |
415 |
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|
416 |
Int_t from = l1->indstart[i] -1; |
Int_t from = l1->indstart[i] -1; |
417 |
Int_t to = l1->totCLlength ; |
Int_t to = l1->totCLlength ; |
418 |
if(i != l1->nclstr1-1)to = l1->indstart[i+1] -1 ; |
if(i != l1->nclstr1-1)to = l1->indstart[i+1] -1 ; |
419 |
t_cl->CLlength = to - from ; |
t_cl->CLlength = to - from ; |
420 |
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|
421 |
t_cl->clsignal = new Float_t[t_cl->CLlength]; |
t_cl->clsignal = new Float_t[t_cl->CLlength]; |
422 |
t_cl->clsigma = new Float_t[t_cl->CLlength]; |
t_cl->clsigma = new Float_t[t_cl->CLlength]; |
423 |
t_cl->cladc = new Int_t[t_cl->CLlength]; |
t_cl->cladc = new Int_t[t_cl->CLlength]; |
424 |
t_cl->clbad = new Bool_t[t_cl->CLlength]; |
t_cl->clbad = new Bool_t[t_cl->CLlength]; |
425 |
Int_t index = 0; |
Int_t index = 0; |
426 |
for(Int_t is = from; is < to; is++ ){ |
for(Int_t is = from; is < to; is++ ){ |
427 |
t_cl->clsignal[index] = (Float_t) l1->clsignal[is]; |
t_cl->clsignal[index] = (Float_t) l1->clsignal[is]; |
428 |
t_cl->clsigma[index] = (Float_t) l1->clsigma[is]; |
t_cl->clsigma[index] = (Float_t) l1->clsigma[is]; |
429 |
t_cl->cladc[index] = (Int_t) l1->cladc[is]; |
t_cl->cladc[index] = (Int_t) l1->cladc[is]; |
430 |
t_cl->clbad[index] = (Bool_t) l1->clbad[is]; |
t_cl->clbad[index] = (Bool_t) l1->clbad[is]; |
431 |
index++; |
index++; |
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}; |
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new(t[i]) TrkCluster(*t_cl); |
|
432 |
}; |
}; |
433 |
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434 |
delete t_cl; |
new(t[i]) TrkCluster(*t_cl); |
435 |
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}; |
436 |
// ****general variables**** |
|
437 |
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delete t_cl; |
438 |
for(Int_t i=0; i<12 ; i++){ |
|
439 |
good[i] = -1; |
// ****general variables**** |
440 |
for(Int_t j=0; j<24 ; j++){ |
|
441 |
cnev[j][i] = l1->cnev[j][i]; |
for(Int_t i=0; i<12 ; i++){ |
442 |
cnnev[j][i] = l1->cnnev[j][i]; |
good[i] = l1->good[i]; |
443 |
}; |
for(Int_t j=0; j<24 ; j++){ |
444 |
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cn[j][i] = l1->cnev[j][i]; |
445 |
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// cnrms[j][i] = l1->cnrmsev[j][i]; |
446 |
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cnn[j][i] = l1->cnnev[j][i]; |
447 |
}; |
}; |
448 |
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}; |
449 |
|
|
450 |
} |
} |
451 |
/** |
/** |
452 |
* Fills a struct cTrkLevel1 with values from a TrkLevel1 object (to put data into a F77 common). |
* Fills a struct cTrkLevel1 with values from a TrkLevel1 object (to put data into a F77 common). |
453 |
*/ |
*/ |
454 |
|
|
455 |
void TrkLevel1::GetLevel1Struct(cTrkLevel1 *l1) const { |
cTrkLevel1* TrkLevel1::GetLevel1Struct() { |
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// ********* completare ********* // |
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// ********* completare ********* // |
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// ********* completare ********* // |
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// ********* completare ********* // |
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// ********* completare ********* // |
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// ********* completare ********* // |
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// general variables |
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// l1->good1 = good1; |
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for(Int_t i=0; i<12 ; i++){ |
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// l1->crc[i] = crc[i]; |
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for(Int_t j=0; j<24 ; j++){ |
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l1->cnev[j][i] = cnev[j][i]; |
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l1->cnnev[j][i] = cnnev[j][i]; |
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}; |
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// l1->fshower[i] = fshower[i]; |
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}; |
|
456 |
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457 |
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cTrkLevel1 *l1=0; |
458 |
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// |
459 |
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for(Int_t i=0; i<12 ; i++){ |
460 |
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l1->good[i] = good[i]; |
461 |
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for(Int_t j=0; j<24 ; j++){ |
462 |
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l1->cnev[j][i] = cn[j][i]; |
463 |
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// l1->cnrmsev[j][i] = cnrms[j][i]; |
464 |
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l1->cnnev[j][i] = cnn[j][i]; |
465 |
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}; |
466 |
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}; |
467 |
|
|
468 |
// *** CLUSTERS *** |
// *** CLUSTERS *** |
469 |
l1->nclstr1 = Cluster->GetEntries(); |
l1->nclstr1 = Cluster->GetEntries(); |
470 |
for(Int_t i=0;i<l1->nclstr1;i++){ |
for(Int_t i=0;i<l1->nclstr1;i++){ |
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l1->view[i] = ((TrkCluster *)Cluster->At(i))->view; |
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// l1->ladder[i] = ((TrkCluster *)Cluster->At(i))->ladder; |
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l1->maxs[i] = ((TrkCluster *)Cluster->At(i))->maxs; |
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// l1->mult[i] = ((TrkCluster *)Cluster->At(i))->mult; |
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// l1->dedx[i] = ((TrkCluster *)Cluster->At(i))->sgnl; |
|
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} |
|
471 |
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|
472 |
// ********* completare ********* // |
l1->view[i] = ((TrkCluster *)Cluster->At(i))->view; |
473 |
|
l1->maxs[i] = ((TrkCluster *)Cluster->At(i))->maxs; |
474 |
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// COMPLETARE // |
475 |
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// COMPLETARE // |
476 |
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// COMPLETARE // |
477 |
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// COMPLETARE // |
478 |
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// COMPLETARE // |
479 |
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// COMPLETARE // |
480 |
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481 |
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} |
482 |
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// COMPLETARE // |
483 |
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// COMPLETARE // |
484 |
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// COMPLETARE // |
485 |
|
// COMPLETARE // |
486 |
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// COMPLETARE // |
487 |
|
// COMPLETARE // |
488 |
|
return l1; |
489 |
} |
} |
490 |
//-------------------------------------- |
//-------------------------------------- |
491 |
// |
// |
492 |
// |
// |
493 |
//-------------------------------------- |
//-------------------------------------- |
494 |
void TrkLevel1::Clear(){ |
void TrkLevel1::Clear(){ |
495 |
|
|
496 |
|
for(Int_t i=0; i<12 ; i++){ |
497 |
|
good[i] = -1; |
498 |
|
for(Int_t j=0; j<24 ; j++){ |
499 |
|
cn[j][i] = 0; |
500 |
|
// cnrms[j][i] = 0; |
501 |
|
cnn[j][i] = 0; |
502 |
|
}; |
503 |
|
}; |
504 |
|
// |
505 |
|
Cluster->Clear(); |
506 |
|
|
507 |
|
} |
508 |
|
//-------------------------------------- |
509 |
|
// |
510 |
|
// |
511 |
|
//-------------------------------------- |
512 |
|
void TrkLevel1::Delete(){ |
513 |
|
|
514 |
for(Int_t i=0; i<12 ; i++){ |
for(Int_t i=0; i<12 ; i++){ |
515 |
good[i] = -1; |
good[i] = -1; |
516 |
for(Int_t j=0; j<24 ; j++){ |
for(Int_t j=0; j<24 ; j++){ |
517 |
cnev[j][i] = 0; |
cn[j][i] = 0; |
518 |
cnnev[j][i] = 0; |
// cnrms[j][i] = 0; |
519 |
}; |
cnn[j][i] = 0; |
520 |
}; |
}; |
521 |
// |
}; |
522 |
Cluster->Clear(); |
// |
523 |
|
Cluster->Delete(); |
524 |
|
|
525 |
} |
} |
526 |
|
|
527 |
//-------------------------------------- |
//-------------------------------------- |
528 |
// |
// |
529 |
// |
// |
539 |
TrkCluster *cluster = (TrkCluster*)t[is]; |
TrkCluster *cluster = (TrkCluster*)t[is]; |
540 |
return cluster; |
return cluster; |
541 |
} |
} |
542 |
|
//-------------------------------------- |
543 |
|
// |
544 |
|
// |
545 |
|
//-------------------------------------- |
546 |
|
/** |
547 |
|
* Load Position-Finding-Algorythm parameters (call the F77 routine). |
548 |
|
* |
549 |
|
*/ |
550 |
|
int TrkLevel1::LoadPfaParam(TString path){ |
551 |
|
|
552 |
|
if( strcmp(path_.path,path.Data()) ){ |
553 |
|
cout <<"Loading p.f.a. parameters\n"; |
554 |
|
strcpy(path_.path,path.Data()); |
555 |
|
path_.pathlen = path.Length(); |
556 |
|
path_.error = 0; |
557 |
|
return readetaparam_(); |
558 |
|
} |
559 |
|
return 0; |
560 |
|
} |
561 |
|
|
562 |
|
|
563 |
ClassImp(TrkLevel1); |
ClassImp(TrkLevel1); |