5 |
#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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TrkCluster::TrkCluster(){ |
TrkCluster::TrkCluster(){ |
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view = 0; |
// cout << "TrkCluster::TrkCluster()"<<endl; |
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maxs = 0; |
view = -1; |
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indmax = 0; |
maxs = -1; |
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indmax = -1; |
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CLlength = 0; |
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clsignal = 0; |
CLlength = 0; |
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clsigma = 0; |
clsignal = 0; |
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cladc = 0; |
clsigma = 0; |
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clbad = 0; |
cladc = 0; |
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clbad = 0; |
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}; |
}; |
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//-------------------------------------- |
//-------------------------------------- |
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// |
// |
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// |
// |
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//-------------------------------------- |
//-------------------------------------- |
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TrkCluster::~TrkCluster(){ |
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delete [] clsignal; |
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delete [] clsigma; |
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delete [] cladc; |
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delete [] clbad; |
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}; |
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//-------------------------------------- |
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// |
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// |
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//-------------------------------------- |
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TrkCluster::TrkCluster(const TrkCluster& t){ |
TrkCluster::TrkCluster(const TrkCluster& t){ |
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view = t.view; |
view = t.view; |
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maxs = t.maxs; |
maxs = t.maxs; |
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indmax = t.indmax; |
indmax = t.indmax; |
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CLlength = t.CLlength; |
CLlength = t.CLlength; |
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if(CLlength){ |
51 |
clsignal = new Float_t[CLlength]; |
clsignal = new Float_t[CLlength]; |
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clsigma = new Float_t[CLlength]; |
clsigma = new Float_t[CLlength]; |
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cladc = new Int_t[CLlength]; |
cladc = new Int_t[CLlength]; |
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clbad = new Bool_t[CLlength]; |
clbad = new Bool_t[CLlength]; |
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for(Int_t i=0; i<CLlength;i++){ |
for(Int_t i=0; i<CLlength;i++){ |
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clsignal[i] = t.clsignal[i]; |
clsignal[i] = t.clsignal[i]; |
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clsigma[i] = t.clsigma[i]; |
clsigma[i] = t.clsigma[i]; |
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cladc[i] = t.cladc[i]; |
cladc[i] = t.cladc[i]; |
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clbad[i] = t.clbad[i]; |
clbad[i] = t.clbad[i]; |
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}; |
}; |
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}; |
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}; |
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//-------------------------------------- |
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// |
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// |
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//-------------------------------------- |
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void TrkCluster::Clear(){ |
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// cout << "void TrkCluster::Clear()"<<endl; |
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if(CLlength){ |
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delete [] clsignal; |
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delete [] clsigma; |
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delete [] cladc; |
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delete [] clbad; |
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} |
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view = 0; |
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maxs = 0; |
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indmax = 0; |
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CLlength = 0; |
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clsignal = 0; |
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clsigma = 0; |
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cladc = 0; |
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clbad = 0; |
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}; |
}; |
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//-------------------------------------- |
//-------------------------------------- |
90 |
// |
// |
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//-------------------------------------- |
//-------------------------------------- |
92 |
/** |
/** |
93 |
* Evaluate the cluster signal. |
* Evaluate the cluster signal including a maximum number of adjacent |
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* @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; |
|
101 |
for(Int_t is = 0; is < CLlength; is++){ |
if(CLlength<=0)return 0; |
102 |
Float_t scut = cut*clsigma[is]; |
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103 |
if(clsignal[is] > scut) s += clsignal[is]; |
Float_t s = 0; |
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105 |
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if( nstrip<=0 ){ |
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// for(Int_t is = 0; is < CLlength; is++){ |
107 |
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// Float_t scut = cut*clsigma[is]; |
108 |
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// if(clsignal[is] > scut) s += clsignal[is]; |
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// }; |
110 |
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for(Int_t is = indmax+1; is < CLlength; is++){ |
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Float_t scut = cut*clsigma[is]; |
112 |
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if(clsignal[is] > scut) s += clsignal[is]; |
113 |
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else break; |
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}; |
115 |
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for(Int_t is = indmax; is >=0; is--){ |
116 |
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Float_t scut = cut*clsigma[is]; |
117 |
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if(clsignal[is] > scut) s += clsignal[is]; |
118 |
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else break; |
119 |
}; |
}; |
120 |
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; |
127 |
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128 |
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if( clsignal[indmax] < cut*clsigma[indmax] ) return 0; |
129 |
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130 |
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while ( inc < nstrip ){ |
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Float_t sl = -100000; |
132 |
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Float_t sr = -100000; |
133 |
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if( il >= 0 ) sl = clsignal[il]; |
134 |
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if( ir < CLlength ) sr = clsignal[ir]; |
135 |
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if( sl == sr && inc == 0 ){ |
136 |
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s += clsignal[il]; //cout << inc<<" - "<< clsignal[il]<<" "<<s<<endl; |
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il--; |
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ir++; |
139 |
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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; |
146 |
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inc++; |
148 |
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} |
149 |
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return s; |
150 |
}; |
}; |
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/** |
/** |
154 |
* Evaluate the cluster signal-to-noise, as defined by Turchetta. |
* Evaluate the cluster signal-to-noise, as defined by Turchetta, including a |
155 |
* @param cut Inclusion cut. |
* maximum number of adjacent strips, around maxs, having a significant signal. |
156 |
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* @param nstrip Maximum number of strips. |
157 |
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* @param cut Inclusion cut ( s > cut*sigma ). |
158 |
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* If nstrip<=0 only the inclusion cut is used to determine the cluster size. |
159 |
*/ |
*/ |
160 |
Float_t TrkCluster::GetSignalToNoise(Float_t cut){ |
Float_t TrkCluster::GetSignalToNoise(Int_t nstrip, Float_t cut){ |
161 |
Float_t sn = 0; |
|
162 |
for(Int_t is = 0; is < CLlength; is++){ |
if(CLlength<=0)return 0; |
163 |
Float_t scut = cut*clsigma[is]; |
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164 |
if(clsignal[is] > scut) sn += clsignal[is]/clsigma[is]; |
Float_t sn = 0; |
165 |
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166 |
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if( nstrip<=0 ){ |
167 |
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for(Int_t is = indmax+1; is < CLlength; is++){ |
168 |
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Float_t scut = cut*clsigma[is]; |
169 |
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if(clsignal[is] > scut) sn += clsignal[is]/clsigma[is]; |
170 |
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else break; |
171 |
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}; |
172 |
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for(Int_t is = indmax; is >=0; is--){ |
173 |
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Float_t scut = cut*clsigma[is]; |
174 |
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if(clsignal[is] > scut) sn += clsignal[is]/clsigma[is]; |
175 |
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else break; |
176 |
}; |
}; |
177 |
return sn; |
return sn; |
178 |
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}; |
179 |
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180 |
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181 |
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Int_t il = indmax; |
182 |
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Int_t ir = indmax; |
183 |
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Int_t inc = 0; |
184 |
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185 |
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if( clsignal[indmax] < cut*clsigma[indmax] ) return 0; |
186 |
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187 |
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while ( inc < nstrip ){ |
188 |
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Float_t sl = -100000; |
189 |
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Float_t sr = -100000; |
190 |
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if( il >= 0 ) sl = clsignal[il]; |
191 |
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if( ir < CLlength ) sr = clsignal[ir]; |
192 |
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if( sl == sr && inc == 0 ){ |
193 |
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sn += clsignal[il]/clsigma[il]; |
194 |
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il--; |
195 |
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ir++; |
196 |
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}else if ( sl >= sr && sl > cut*clsigma[il] && inc !=0 ){ |
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sn += sl/clsigma[il]; |
198 |
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il--; |
199 |
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}else if ( sl < sr && sr > cut*clsigma[ir] ){ |
200 |
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sn += sr/clsigma[ir]; |
201 |
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ir++; |
202 |
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}else break; |
203 |
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204 |
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inc++; |
205 |
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} |
206 |
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return sn; |
207 |
}; |
}; |
208 |
/** |
/** |
209 |
* Evaluate the cluster multiplicity. |
* Evaluate the cluster multiplicity. |
210 |
* @param cut Inclusion cut. |
* @param cut Inclusion cut. |
211 |
*/ |
*/ |
212 |
Int_t TrkCluster::GetMultiplicity(Float_t cut){ |
Int_t TrkCluster::GetMultiplicity(Float_t cut){ |
213 |
Int_t m = 0; |
|
214 |
for(Int_t is = 0; is < CLlength; is++){ |
if(CLlength<=0)return 0; |
215 |
Float_t scut = cut*clsigma[is]; |
|
216 |
if(clsignal[is] > scut) m++; |
Int_t m = 0; |
217 |
}; |
|
218 |
return m; |
for(Int_t is = indmax+1; is < CLlength; is++){ |
219 |
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Float_t scut = cut*clsigma[is]; |
220 |
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if(clsignal[is] > scut) m++; |
221 |
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else break; |
222 |
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}; |
223 |
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for(Int_t is = indmax; is >=0; is--){ |
224 |
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Float_t scut = cut*clsigma[is]; |
225 |
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if(clsignal[is] > scut) m++; |
226 |
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else break; |
227 |
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}; |
228 |
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return m; |
229 |
}; |
}; |
230 |
/** |
/** |
231 |
* True if the cluster contains bad strips. |
* True if the cluster contains bad strips. |
232 |
* @param nbad Number of strips around the maximum. |
* @param nbad Number of strips around the maximum. |
233 |
*/ |
*/ |
234 |
Bool_t TrkCluster::IsBad(Int_t nbad){ |
Bool_t TrkCluster::IsBad(Int_t nbad){ |
235 |
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|
236 |
/* Float_t max = 0; |
if(CLlength<=0)return 0; |
237 |
Int_t imax = 0; |
|
238 |
for(Int_t is = 0; is < CLlength; is++){ |
Int_t il,ir; |
239 |
if(clsignal[is] > max){ |
il = indmax; |
240 |
max = clsignal[is]; |
ir = indmax; |
241 |
imax = is; |
for(Int_t i=1; i<nbad; i++){ |
242 |
}; |
if (ir == CLlength && il == 0)break; |
243 |
}; |
else if (ir == CLlength && il != 0)il--; |
244 |
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else if (ir != CLlength && il == 0)ir++; |
245 |
Int_t il,ir; |
else{ |
246 |
il = imax; |
if(clsignal[il-1] > clsignal[ir+1])il--; |
247 |
ir = imax;*/ |
else ir++; |
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Int_t il,ir; |
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il = indmax; |
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ir = indmax; |
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for(Int_t i=1; i<nbad; i++){ |
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if (ir == CLlength && il == 0)break; |
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else if (ir == CLlength && il != 0)il--; |
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else if (ir != CLlength && il == 0)ir++; |
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else{ |
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if(clsignal[il-1] > clsignal[ir+1])il--; |
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else ir++; |
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} |
|
248 |
} |
} |
249 |
Int_t isbad = 0; |
} |
250 |
for(Int_t i=il; i<=ir; i++)isbad += clbad[i]; |
Int_t isbad = 0; |
251 |
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for(Int_t i=il; i<=ir; i++)isbad += clbad[i]; |
252 |
return ( isbad != nbad ); |
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253 |
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return ( isbad != nbad ); |
254 |
}; |
}; |
255 |
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/** |
256 |
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* True if the cluster contains saturated strips. |
257 |
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* @param nbad Number of strips around the maximum. |
258 |
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*/ |
259 |
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Bool_t TrkCluster::IsSaturated(Int_t nbad){ |
260 |
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261 |
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if(CLlength<=0)return 0; |
262 |
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263 |
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Int_t il,ir; |
264 |
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il = indmax; |
265 |
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ir = indmax; |
266 |
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for(Int_t i=1; i<nbad; i++){ |
267 |
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if (ir == CLlength && il == 0)break; |
268 |
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else if (ir == CLlength && il != 0)il--; |
269 |
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else if (ir != CLlength && il == 0)ir++; |
270 |
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else{ |
271 |
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if(clsignal[il-1] > clsignal[ir+1])il--; |
272 |
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else ir++; |
273 |
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} |
274 |
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} |
275 |
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Int_t isbad = 0; |
276 |
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for(Int_t i=il; i<=ir; i++){ |
277 |
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if( IsX() && cladc[i] > 2980 )isbad++; |
278 |
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if( IsY() && cladc[i] < 80 )isbad++; |
279 |
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} |
280 |
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return ( isbad != 0 ); |
281 |
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282 |
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} |
283 |
//-------------------------------------- |
//-------------------------------------- |
284 |
// |
// |
285 |
// |
// |
286 |
//-------------------------------------- |
//-------------------------------------- |
287 |
void TrkCluster::Dump(){ |
void TrkCluster::Dump(){ |
288 |
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|
289 |
cout << "----- Cluster" << endl; |
cout << "----- Cluster" << endl; |
290 |
cout << "View "<<view << " - Ladder "<<GetLadder()<<endl; |
cout << "View "<<view << " - Ladder "<<GetLadder()<<endl; |
291 |
cout << "Position of maximun "<< maxs <<endl; |
cout << "Position of maximun "<< maxs <<endl; |
292 |
cout << "Multiplicity "<< GetMultiplicity() <<endl; |
cout << "Multiplicity "<< GetMultiplicity() <<endl; |
293 |
cout << "Tot signal "<< GetSignal() << " (ADC channels)"<<endl ; |
cout << "Tot signal "<< GetSignal() << " (ADC channels)"<<endl ; |
294 |
cout << "Signal/Noise "<< GetSignalToNoise(); |
cout << "Signal/Noise "<< GetSignalToNoise(); |
295 |
cout <<endl<< "Strip signals "; |
cout <<endl<< "Strip signals "; |
296 |
for(Int_t i =0; i<CLlength; i++)cout << " " <<clsignal[i]; |
for(Int_t i =0; i<CLlength; i++)cout << " " <<clsignal[i]; |
297 |
cout <<endl<< "Strip sigmas "; |
cout <<endl<< "Strip sigmas "; |
298 |
for(Int_t i =0; i<CLlength; i++)cout << " " <<clsigma[i]; |
for(Int_t i =0; i<CLlength; i++)cout << " " <<clsigma[i]; |
299 |
cout <<endl<< "Strip ADC "; |
cout <<endl<< "Strip ADC "; |
300 |
for(Int_t i =0; i<CLlength; i++)cout << " " <<cladc[i]; |
for(Int_t i =0; i<CLlength; i++)cout << " " <<cladc[i]; |
301 |
cout <<endl<< "Strip BAD "; |
cout <<endl<< "Strip BAD "; |
302 |
for(Int_t i =0; i<CLlength; i++){ |
for(Int_t i =0; i<CLlength; i++){ |
303 |
if(i==indmax)cout << " *" <<clbad[i]<<"*"; |
if(i==indmax)cout << " *" <<clbad[i]<<"*"; |
304 |
else cout << " " <<clbad[i]; |
else cout << " " <<clbad[i]; |
305 |
} |
} |
306 |
cout << endl; |
cout << endl; |
307 |
|
|
308 |
} |
} |
309 |
//-------------------------------------- |
//-------------------------------------- |
310 |
// |
// |
311 |
// |
// |
312 |
//-------------------------------------- |
//-------------------------------------- |
313 |
TrkLevel1::TrkLevel1(){ |
/** |
314 |
|
* Method to fill a level1 struct with only one cluster (done to use F77 p.f.a. routines on a cluster basis). |
315 |
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*/ |
316 |
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cTrkLevel1* TrkCluster::GetLevel1Struct(){ |
317 |
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|
318 |
|
// cTrkLevel1* l1 = new cTrkLevel1; |
319 |
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|
320 |
|
cTrkLevel1* l1 = &level1event_ ; |
321 |
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|
322 |
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l1->nclstr1 = 1; |
323 |
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l1->view[0] = view; |
324 |
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l1->ladder[0] = GetLadder(); |
325 |
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l1->maxs[0] = maxs; |
326 |
|
l1->mult[0] = GetMultiplicity(); |
327 |
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l1->dedx[0] = GetSignal(); |
328 |
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l1->indstart[0] = 1; |
329 |
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l1->indmax[0] = indmax+1; |
330 |
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l1->totCLlength = CLlength; |
331 |
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for(Int_t i=0; i<CLlength; i++){ |
332 |
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l1->clsignal[i] = clsignal[i]; |
333 |
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l1->clsigma[i] = clsigma[i]; |
334 |
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l1->cladc[i] = cladc[i]; |
335 |
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l1->clbad[i] = clbad[i]; |
336 |
|
}; |
337 |
|
|
338 |
// good1 = -1; |
return l1; |
339 |
|
}; |
340 |
|
//-------------------------------------- |
341 |
|
// |
342 |
|
// |
343 |
|
//-------------------------------------- |
344 |
|
/** |
345 |
|
* Evaluates the Center-Of-Gravity (COG) of the cluster, in strips, relative to the strip with the maximum signal (TrkCluster::maxs). |
346 |
|
* @param ncog Number of strips to evaluate COG. |
347 |
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* If ncog=0, the COG of the cluster is evaluated according to the cluster multiplicity (defined by the inclusion cut). |
348 |
|
* If ncog>0, the COG is evaluated using ncog strips, even if they have a negative signal (according to G.Landi) |
349 |
|
*/ |
350 |
|
Float_t TrkCluster::GetCOG(Int_t ncog){ |
351 |
|
|
352 |
|
int ic = 1; |
353 |
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GetLevel1Struct(); |
354 |
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return cog_(&ncog,&ic); |
355 |
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|
356 |
|
}; |
357 |
|
/** |
358 |
|
* Evaluates the Center-Of-Gravity (COG) of the cluster, in strips, relative to the strip with the maximum signal (TrkCluster::maxs), |
359 |
|
* choosing the number of strips according to the angle, as implemented for the eta-algorythm . |
360 |
|
* @param angle Projected angle in degree. |
361 |
|
*/ |
362 |
|
Float_t TrkCluster::GetCOG(Float_t angle){ |
363 |
|
|
364 |
|
Int_t neta = 0; |
365 |
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|
366 |
|
// Float_t eta = GetETA(0,angle); |
367 |
|
// for(neta=2; neta<10; neta++) if( eta == GetETA(neta,angle) ) break; |
368 |
|
// if(eta != GetETA(neta,angle) )cout << "Attenzione!! pasticcio "<<endl; |
369 |
|
|
370 |
|
if( view%2 ){ //Y |
371 |
|
neta=2; |
372 |
|
}else{ //X |
373 |
|
if( fabs(angle) <= 10. ){ |
374 |
|
neta = 2; |
375 |
|
}else if( fabs(angle) > 10. && fabs(angle) <= 15. ){ |
376 |
|
neta = 3; |
377 |
|
}else{ |
378 |
|
neta = 4; |
379 |
|
}; |
380 |
|
}; |
381 |
|
|
382 |
|
return GetCOG(neta); |
383 |
|
|
384 |
Cluster = new TClonesArray("TrkCluster"); |
}; |
385 |
|
//-------------------------------------- |
386 |
|
// |
387 |
|
// |
388 |
|
//-------------------------------------- |
389 |
|
/** |
390 |
|
* Evaluates the cluster position, in strips, relative to the strip with the maximum signal (TrkCluster::maxs), by applying the non-linear ETA-algorythm. |
391 |
|
* @param neta Number of strips to evaluate ETA. |
392 |
|
* @param angle Projected angle between particle track and detector plane. |
393 |
|
* Implemented values of neta are 2,3,4. If neta=0, ETA2, ETA3 and ETA4 are applied according to the angle. |
394 |
|
*/ |
395 |
|
Float_t TrkCluster::GetETA(Int_t neta, float angle){ |
396 |
|
|
397 |
for(Int_t i=0; i<12 ; i++){ |
// cout << "GetETA(neta,angle) "<< neta << " "<< angle; |
398 |
// crc[i] = -1; |
// LoadPfaParam(); |
399 |
good[i] = -1; |
|
400 |
for(Int_t j=0; j<24 ; j++){ |
float ax = angle; |
401 |
cnev[j][i]=0; |
int ic = 1; |
402 |
cnnev[j][i]=0; |
GetLevel1Struct(); |
403 |
}; |
if(neta == 0) return pfaeta_(&ic,&ax); |
404 |
// fshower[i]=0; |
else if(neta == 2) return pfaeta2_(&ic,&ax); |
405 |
|
else if(neta == 3) return pfaeta3_(&ic,&ax); |
406 |
|
else if(neta == 4) return pfaeta4_(&ic,&ax); |
407 |
|
else cout << "ETA"<<neta<<" not implemented\n"; |
408 |
|
return 0; |
409 |
|
|
410 |
|
}; |
411 |
|
|
412 |
|
//-------------------------------------- |
413 |
|
// |
414 |
|
// |
415 |
|
//-------------------------------------- |
416 |
|
TrkLevel1::TrkLevel1(){ |
417 |
|
|
418 |
|
// cout << "TrkLevel1::TrkLevel1()"<<endl; |
419 |
|
// Cluster = new TClonesArray("TrkCluster"); |
420 |
|
Cluster = 0; |
421 |
|
for(Int_t i=0; i<12 ; i++){ |
422 |
|
good[i] = -1; |
423 |
|
for(Int_t j=0; j<24 ; j++){ |
424 |
|
cn[j][i]=0; |
425 |
|
cnn[j][i]=0; |
426 |
}; |
}; |
427 |
|
}; |
428 |
} |
} |
429 |
//-------------------------------------- |
//-------------------------------------- |
430 |
// |
// |
432 |
//-------------------------------------- |
//-------------------------------------- |
433 |
void TrkLevel1::Dump(){ |
void TrkLevel1::Dump(){ |
434 |
|
|
435 |
cout<<"DSP status: "; |
cout<<"DSP status: "; |
436 |
for(Int_t i=0; i<12 ; i++)cout<<good[i]<<" "; |
for(Int_t i=0; i<12 ; i++)cout<<good[i]<<" "; |
437 |
cout<<endl; |
cout<<endl; |
438 |
|
cout<<"VA1 mask : "<<endl; |
439 |
TClonesArray &t = *Cluster; |
for(Int_t i=0; i<12 ; i++){ |
440 |
for(int i=0; i<this->nclstr(); i++) ((TrkCluster *)t[i])->Dump(); |
for(Int_t ii=0; ii<24 ; ii++){ |
441 |
|
Int_t mask = cnn[ii][i]; |
442 |
|
if(mask>0)mask=1; |
443 |
|
cout<<mask<<" "; |
444 |
|
} |
445 |
|
cout <<endl; |
446 |
|
} |
447 |
|
|
448 |
|
if(!Cluster)return; |
449 |
|
TClonesArray &t = *Cluster; |
450 |
|
for(int i=0; i<this->nclstr(); i++) ((TrkCluster *)t[i])->Dump(); |
451 |
|
|
452 |
} |
} |
453 |
//-------------------------------------- |
//-------------------------------------- |
454 |
// |
// |
457 |
/** |
/** |
458 |
* Fills a TrkLevel1 object with values from a struct cTrkLevel1 (to get data from F77 common). |
* Fills a TrkLevel1 object with values from a struct cTrkLevel1 (to get data from F77 common). |
459 |
*/ |
*/ |
460 |
void TrkLevel1::SetFromLevel1Struct(cTrkLevel1 *l1){ |
void TrkLevel1::SetFromLevel1Struct(cTrkLevel1 *l1, Bool_t full){ |
|
|
|
|
// *** CLUSTER *** |
|
|
TrkCluster* t_cl = new TrkCluster(); |
|
|
TClonesArray &t = *Cluster; |
|
|
for(int i=0; i<l1->nclstr1; i++){ |
|
|
|
|
|
t_cl->view = l1->view[i]; |
|
|
t_cl->maxs = l1->maxs[i]; |
|
|
t_cl->indmax = l1->indmax[i] - l1->indstart[i]; |
|
|
|
|
|
Int_t from = l1->indstart[i] -1; |
|
|
Int_t to = l1->totCLlength ; |
|
|
if(i != l1->nclstr1-1)to = l1->indstart[i+1] -1 ; |
|
|
t_cl->CLlength = to - from ; |
|
|
|
|
|
t_cl->clsignal = new Float_t[t_cl->CLlength]; |
|
|
t_cl->clsigma = new Float_t[t_cl->CLlength]; |
|
|
t_cl->cladc = new Int_t[t_cl->CLlength]; |
|
|
t_cl->clbad = new Bool_t[t_cl->CLlength]; |
|
|
Int_t index = 0; |
|
|
for(Int_t is = from; is < to; is++ ){ |
|
|
t_cl->clsignal[index] = (Float_t) l1->clsignal[is]; |
|
|
t_cl->clsigma[index] = (Float_t) l1->clsigma[is]; |
|
|
t_cl->cladc[index] = (Int_t) l1->cladc[is]; |
|
|
t_cl->clbad[index] = (Bool_t) l1->clbad[is]; |
|
|
index++; |
|
|
}; |
|
|
|
|
|
new(t[i]) TrkCluster(*t_cl); |
|
|
}; |
|
|
|
|
|
delete t_cl; |
|
|
|
|
|
// ****general variables**** |
|
461 |
|
|
462 |
for(Int_t i=0; i<12 ; i++){ |
// --------------- |
463 |
good[i] = -1; |
// *** CLUSTER *** |
464 |
for(Int_t j=0; j<24 ; j++){ |
// --------------- |
465 |
cnev[j][i] = l1->cnev[j][i]; |
TrkCluster* t_cl = new TrkCluster(); |
466 |
cnnev[j][i] = l1->cnnev[j][i]; |
if(!Cluster)Cluster = new TClonesArray("TrkCluster"); |
467 |
}; |
TClonesArray &t = *Cluster; |
468 |
|
for(int i=0; i<l1->nclstr1; i++){ |
469 |
|
|
470 |
|
t_cl->Clear(); |
471 |
|
// if( full || (!full && l1->whichtrack[i]) ){ |
472 |
|
|
473 |
|
t_cl->view = l1->view[i]; |
474 |
|
t_cl->maxs = l1->maxs[i]; |
475 |
|
|
476 |
|
if( full || (!full && l1->whichtrack[i]) ){ |
477 |
|
t_cl->indmax = l1->indmax[i] - l1->indstart[i]; |
478 |
|
Int_t from = l1->indstart[i] -1; |
479 |
|
Int_t to = l1->totCLlength ; |
480 |
|
if(i != l1->nclstr1-1)to = l1->indstart[i+1] -1 ; |
481 |
|
t_cl->CLlength = to - from ; |
482 |
|
|
483 |
|
t_cl->clsignal = new Float_t[t_cl->CLlength]; |
484 |
|
t_cl->clsigma = new Float_t[t_cl->CLlength]; |
485 |
|
t_cl->cladc = new Int_t[t_cl->CLlength]; |
486 |
|
t_cl->clbad = new Bool_t[t_cl->CLlength]; |
487 |
|
Int_t index = 0; |
488 |
|
for(Int_t is = from; is < to; is++ ){ |
489 |
|
t_cl->clsignal[index] = (Float_t) l1->clsignal[is]; |
490 |
|
t_cl->clsigma[index] = (Float_t) l1->clsigma[is]; |
491 |
|
t_cl->cladc[index] = (Int_t) l1->cladc[is]; |
492 |
|
t_cl->clbad[index] = (Bool_t) l1->clbad[is]; |
493 |
|
index++; |
494 |
|
}; |
495 |
|
} |
496 |
|
new(t[i]) TrkCluster(*t_cl); // <<< store cluster |
497 |
|
}; |
498 |
|
|
499 |
|
delete t_cl; |
500 |
|
|
501 |
|
// ------------------------- |
502 |
|
// ****general variables**** |
503 |
|
// ------------------------- |
504 |
|
for(Int_t i=0; i<12 ; i++){ |
505 |
|
good[i] = l1->good[i]; |
506 |
|
for(Int_t j=0; j<24 ; j++){ |
507 |
|
cn[j][i] = l1->cnev[j][i]; |
508 |
|
// cnrms[j][i] = l1->cnrmsev[j][i]; |
509 |
|
cnn[j][i] = l1->cnnev[j][i]; |
510 |
}; |
}; |
511 |
|
}; |
512 |
|
|
513 |
} |
} |
514 |
/** |
/** |
515 |
* 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). |
516 |
*/ |
*/ |
517 |
|
|
518 |
void TrkLevel1::GetLevel1Struct(cTrkLevel1 *l1) const { |
cTrkLevel1* TrkLevel1::GetLevel1Struct() { |
|
|
|
|
// ********* completare ********* // |
|
|
// ********* completare ********* // |
|
|
// ********* completare ********* // |
|
|
// ********* completare ********* // |
|
|
// ********* completare ********* // |
|
|
// ********* completare ********* // |
|
|
// general variables |
|
|
// l1->good1 = good1; |
|
|
for(Int_t i=0; i<12 ; i++){ |
|
|
// l1->crc[i] = crc[i]; |
|
|
for(Int_t j=0; j<24 ; j++){ |
|
|
l1->cnev[j][i] = cnev[j][i]; |
|
|
l1->cnnev[j][i] = cnnev[j][i]; |
|
|
}; |
|
|
// l1->fshower[i] = fshower[i]; |
|
|
}; |
|
519 |
|
|
520 |
|
cTrkLevel1 *l1=0; |
521 |
|
// |
522 |
|
for(Int_t i=0; i<12 ; i++){ |
523 |
|
l1->good[i] = good[i]; |
524 |
|
for(Int_t j=0; j<24 ; j++){ |
525 |
|
l1->cnev[j][i] = cn[j][i]; |
526 |
|
// l1->cnrmsev[j][i] = cnrms[j][i]; |
527 |
|
l1->cnnev[j][i] = cnn[j][i]; |
528 |
|
}; |
529 |
|
}; |
530 |
|
|
531 |
// *** CLUSTERS *** |
// *** CLUSTERS *** |
532 |
l1->nclstr1 = Cluster->GetEntries(); |
if(Cluster){ |
533 |
|
l1->nclstr1 = Cluster->GetEntries(); |
534 |
for(Int_t i=0;i<l1->nclstr1;i++){ |
for(Int_t i=0;i<l1->nclstr1;i++){ |
|
|
|
|
l1->view[i] = ((TrkCluster *)Cluster->At(i))->view; |
|
|
// l1->ladder[i] = ((TrkCluster *)Cluster->At(i))->ladder; |
|
|
l1->maxs[i] = ((TrkCluster *)Cluster->At(i))->maxs; |
|
|
// l1->mult[i] = ((TrkCluster *)Cluster->At(i))->mult; |
|
|
// l1->dedx[i] = ((TrkCluster *)Cluster->At(i))->sgnl; |
|
|
|
|
|
} |
|
535 |
|
|
536 |
// ********* completare ********* // |
l1->view[i] = ((TrkCluster *)Cluster->At(i))->view; |
537 |
|
l1->maxs[i] = ((TrkCluster *)Cluster->At(i))->maxs; |
538 |
|
// COMPLETARE // |
539 |
|
// COMPLETARE // |
540 |
|
// COMPLETARE // |
541 |
|
// COMPLETARE // |
542 |
|
// COMPLETARE // |
543 |
|
// COMPLETARE // |
544 |
|
|
545 |
|
} |
546 |
|
// COMPLETARE // |
547 |
|
// COMPLETARE // |
548 |
|
// COMPLETARE // |
549 |
|
// COMPLETARE // |
550 |
|
// COMPLETARE // |
551 |
|
// COMPLETARE // |
552 |
|
} |
553 |
|
return l1; |
554 |
} |
} |
555 |
//-------------------------------------- |
//-------------------------------------- |
556 |
// |
// |
557 |
// |
// |
558 |
//-------------------------------------- |
//-------------------------------------- |
559 |
void TrkLevel1::Clear(){ |
void TrkLevel1::Clear(){ |
560 |
|
|
561 |
for(Int_t i=0; i<12 ; i++){ |
for(Int_t i=0; i<12 ; i++){ |
562 |
good[i] = -1; |
good[i] = -1; |
563 |
for(Int_t j=0; j<24 ; j++){ |
for(Int_t j=0; j<24 ; j++){ |
564 |
cnev[j][i] = 0; |
cn[j][i] = 0; |
565 |
cnnev[j][i] = 0; |
cnn[j][i] = 0; |
|
}; |
|
566 |
}; |
}; |
567 |
// |
}; |
568 |
Cluster->Clear(); |
// if(Cluster)Cluster->Clear("C"); |
569 |
|
if(Cluster)Cluster->Delete(); |
570 |
|
|
571 |
|
} |
572 |
|
//-------------------------------------- |
573 |
|
// |
574 |
|
// |
575 |
|
//-------------------------------------- |
576 |
|
void TrkLevel1::Delete(){ |
577 |
|
|
578 |
|
// Clear(); |
579 |
|
if(Cluster)Cluster->Delete(); |
580 |
|
if(Cluster)delete Cluster; |
581 |
|
|
582 |
} |
} |
583 |
//-------------------------------------- |
//-------------------------------------- |
584 |
// |
// |
586 |
//-------------------------------------- |
//-------------------------------------- |
587 |
TrkCluster *TrkLevel1::GetCluster(int is){ |
TrkCluster *TrkLevel1::GetCluster(int is){ |
588 |
|
|
589 |
if(is >= this->nclstr()){ |
if(!Cluster)return 0; |
590 |
cout << "** TrkLevel1::GetCluster(int) ** Cluster "<< is << " does not exits! " << endl; |
if(is >= nclstr()){ |
591 |
cout << "( Stored clusters nclstr() = "<< this->nclstr()<<" )" << endl; |
cout << "** TrkLevel1::GetCluster(int) ** Cluster "<< is << " does not exits! " << endl; |
592 |
return 0; |
cout << "( Stored clusters nclstr() = "<< this->nclstr()<<" )" << endl; |
593 |
} |
return 0; |
594 |
TClonesArray &t = *(Cluster); |
} |
595 |
TrkCluster *cluster = (TrkCluster*)t[is]; |
|
596 |
return cluster; |
TClonesArray &t = *(Cluster); |
597 |
|
TrkCluster *cluster = (TrkCluster*)t[is]; |
598 |
|
return cluster; |
599 |
|
} |
600 |
|
//-------------------------------------- |
601 |
|
// |
602 |
|
// |
603 |
|
//-------------------------------------- |
604 |
|
/** |
605 |
|
* Load Position-Finding-Algorythm parameters (call the F77 routine). |
606 |
|
* |
607 |
|
*/ |
608 |
|
int TrkLevel1::LoadPfaParam(TString path){ |
609 |
|
|
610 |
|
if( strcmp(path_.path,path.Data()) ){ |
611 |
|
cout <<"Loading p.f.a. param::eters\n"; |
612 |
|
strcpy(path_.path,path.Data()); |
613 |
|
path_.pathlen = path.Length(); |
614 |
|
path_.error = 0; |
615 |
|
return readetaparam_(); |
616 |
|
} |
617 |
|
return 0; |
618 |
} |
} |
619 |
|
|
620 |
|
|