TrackerLevel2/src/TrkLevel1.cpp

/**
 * \file TrkLevel1.cpp
 * \author Elena Vannuccini
 */
#include <TrkLevel1.h>
#include <iostream>
using namespace std;
//......................................
// F77 routines
//......................................
extern "C" {
        
//      int readetaparam_(); 
        float cog_(int*,int*);
        float pfaeta_(int*,float*);
        float pfaeta2_(int*,float*);
        float pfaeta3_(int*,float*);
        float pfaeta4_(int*,float*);
        
}
//--------------------------------------
//
//
//--------------------------------------
TrkCluster::TrkCluster(){
        
        view     = 0;
        maxs     = 0;
        indmax   = 0;
        
        CLlength = 0;
        clsignal = 0; 
        clsigma  = 0; 
        cladc    = 0; 
        clbad    = 0; 

};
//--------------------------------------
//
//
//--------------------------------------
TrkCluster::~TrkCluster(){
        
        delete [] clsignal; 
        delete [] clsigma; 
        delete [] cladc; 
        delete [] clbad; 
};
//--------------------------------------
//
//
//--------------------------------------
TrkCluster::TrkCluster(const TrkCluster& t){
        
        view     = t.view;
        maxs     = t.maxs;
        indmax   = t.indmax;
        
        CLlength = t.CLlength;  
        clsignal = new Float_t[CLlength];
        clsigma  = new Float_t[CLlength];
        cladc    = new Int_t[CLlength];
        clbad    = new Bool_t[CLlength];
        for(Int_t i=0; i<CLlength;i++){
                clsignal[i] = t.clsignal[i]; 
                clsigma[i]  = t.clsigma[i]; 
                cladc[i]    = t.cladc[i]; 
                clbad[i]    = t.clbad[i]; 
        };

};
//--------------------------------------
//
//
//--------------------------------------
/**
 * Evaluate the cluster signal including a maximum number of adjacent 
 * strips, around maxs, having a significant signal. 
 * @param nstrip   Maximum number of strips.
 * @param cut      Inclusion cut ( s > cut*sigma ).
 * If nstrip<=0 only the inclusion cut is used to determine the cluster size.
 */
Float_t TrkCluster::GetSignal(Int_t nstrip, Float_t cut){
        
    Float_t s = 0;
    
    if( nstrip<=0 ){
//          for(Int_t is = 0; is < CLlength; is++){
//              Float_t scut = cut*clsigma[is];
//              if(clsignal[is] > scut) s += clsignal[is];
//          };
        for(Int_t is = indmax+1; is < CLlength; is++){
            Float_t scut = cut*clsigma[is];
            if(clsignal[is] > scut) s += clsignal[is];
            else break;
        };
        for(Int_t is = indmax; is >=0; is--){
            Float_t scut = cut*clsigma[is];
            if(clsignal[is] > scut) s += clsignal[is];
            else break;
        };
        return s;
    };
    
    
    Int_t il = indmax;
    Int_t ir = indmax;
    Int_t inc = 0;

    if( clsignal[indmax] < cut*clsigma[indmax] ) return 0;

    while ( inc < nstrip ){
        Float_t sl = -100000;
        Float_t sr = -100000;
        if( il >= 0       ) sl = clsignal[il];
        if( ir < CLlength ) sr = clsignal[ir];
        if( sl == sr && inc == 0 ){
            s += clsignal[il]; //cout << inc<<" - "<< clsignal[il]<<" "<<s<<endl;
            il--; 
            ir++;
        }else if ( sl >= sr && sl > cut*clsigma[il] && inc !=0 ){
            s += sl;//cout << inc<<" - "<< clsignal[il]<<" "<<s<<endl;
            il--; 
        }else if ( sl < sr && sr > cut*clsigma[ir] ){
            s += sr;//cout << inc<<" - " << clsignal[ir]<<" "<<s<<endl;
            ir++;
        }else break;
        
        inc++;
    }
    return s;
};

/**
 including a ( maximum ) fixed number of adjacent strips (with s>0) around the maxs. 
 * @param nstrip Number of strips.
 */
/**
 * Evaluate the cluster signal-to-noise, as defined by Turchetta, including a maximum number of adjacent strips, around maxs, having a significant signal. 
 * @param nstrip   Maximum number of strips.
 * @param cut      Inclusion cut ( s > cut*sigma ).
 * If nstrip<=0 only the inclusion cut is used to determine the cluster size.
 */
Float_t TrkCluster::GetSignalToNoise(Int_t nstrip, Float_t cut){
        
    Float_t sn = 0;
    
    if( nstrip<=0 ){
        for(Int_t is = indmax+1; is < CLlength; is++){
            Float_t scut = cut*clsigma[is];
            if(clsignal[is] > scut) sn += clsignal[is]/clsigma[is];
            else break;
        };
        for(Int_t is = indmax; is >=0; is--){
            Float_t scut = cut*clsigma[is];
            if(clsignal[is] > scut) sn += clsignal[is]/clsigma[is];
            else break;
        };
        return sn;
    };
    
    
    Int_t il = indmax;
    Int_t ir = indmax;
    Int_t inc = 0;

    if( clsignal[indmax] < cut*clsigma[indmax] ) return 0;

    while ( inc < nstrip ){
        Float_t sl = -100000;
        Float_t sr = -100000;
        if( il >= 0       ) sl = clsignal[il];
        if( ir < CLlength ) sr = clsignal[ir];
        if( sl == sr && inc == 0 ){
            sn += clsignal[il]/clsigma[il]; 
            il--; 
            ir++;
        }else if ( sl >= sr && sl > cut*clsigma[il] && inc !=0 ){
            sn += sl/clsigma[il];
            il--; 
        }else if ( sl < sr && sr > cut*clsigma[ir] ){
            sn += sr/clsigma[ir];
            ir++;
        }else break;
        
        inc++;
    }
    return sn;
};
/**
 * Evaluate the cluster multiplicity.
 * @param cut Inclusion cut.
 */
Int_t TrkCluster::GetMultiplicity(Float_t cut){
        Int_t m = 0;
        for(Int_t is = 0; is < CLlength; is++){
                Float_t scut = cut*clsigma[is];
                if(clsignal[is] > scut) m++;
        };
        return m;
};
/**
 * True if the cluster contains bad strips.
 * @param nbad Number of strips around the maximum.
 */
Bool_t TrkCluster::IsBad(Int_t nbad){
        
/*      Float_t max = 0;        
        Int_t  imax = 0;        
        for(Int_t is = 0; is < CLlength; is++){
                if(clsignal[is] > max){
                        max = clsignal[is];
                        imax = is;
                };
        };
        
        Int_t il,ir;
        il = imax;
        ir = imax;*/
        
        Int_t il,ir;
        il = indmax;
        ir = indmax;
        for(Int_t i=1; i<nbad; i++){
                     if (ir == CLlength && il == 0)break;
                else if (ir == CLlength && il != 0)il--;
                else if (ir != CLlength && il == 0)ir++;
                else{
                        if(clsignal[il-1] > clsignal[ir+1])il--;
                        else ir++;
                }
        }
        Int_t isbad = 0;
        for(Int_t i=il; i<=ir; i++)isbad += clbad[i];
        
        return ( isbad != nbad );
};
//--------------------------------------
//
//
//--------------------------------------
void TrkCluster::Dump(){

        cout << "----- Cluster" << endl;
        cout << "View "<<view << " - Ladder "<<GetLadder()<<endl;
        cout << "Position of maximun "<< maxs <<endl;
        cout << "Multiplicity        "<< GetMultiplicity() <<endl;
        cout << "Tot signal          "<< GetSignal() << " (ADC channels)"<<endl ;
        cout << "Signal/Noise        "<< GetSignalToNoise();
        cout <<endl<< "Strip signals       ";
        for(Int_t i =0; i<CLlength; i++)cout << " " <<clsignal[i];
        cout <<endl<< "Strip sigmas        ";
        for(Int_t i =0; i<CLlength; i++)cout << " " <<clsigma[i];
        cout <<endl<< "Strip ADC           ";
        for(Int_t i =0; i<CLlength; i++)cout << " " <<cladc[i];
        cout <<endl<< "Strip BAD           ";
        for(Int_t i =0; i<CLlength; i++){
                if(i==indmax)cout << "  *" <<clbad[i]<<"*";
                else cout << " " <<clbad[i];
        }
        cout << endl;
        
}
//--------------------------------------
//
//
//--------------------------------------
/**
 * Method to fill a level1 struct with only one cluster (done to use F77 p.f.a. routines on a cluster basis). 
 */
cTrkLevel1* TrkCluster::GetLevel1Struct(){
                
//    cTrkLevel1* l1 = new cTrkLevel1;

    cTrkLevel1* l1 = &level1event_ ;
        
    l1->nclstr1 = 1;
    l1->view[0] = view;
    l1->ladder[0] = GetLadder();
    l1->maxs[0] = maxs;
    l1->mult[0] = GetMultiplicity();
    l1->dedx[0] = GetSignal();
    l1->indstart[0] = 1;
    l1->indmax[0]   = indmax+1;
    l1->totCLlength = CLlength;
    for(Int_t i=0; i<CLlength; i++){
        l1->clsignal[i] = clsignal[i];
        l1->clsigma[i] = clsigma[i];
        l1->cladc[i] = cladc[i];
        l1->clbad[i] = clbad[i];
    };
    
    return l1;
};
//--------------------------------------
//
//
//--------------------------------------
/**
 * Evaluates the Center-Of-Gravity (COG) of the cluster, in strips, relative to the strip with the maximum signal (TrkCluster::maxs).
 *      @param ncog Number of strips to evaluate COG.   
 * If ncog=0, the COG of the cluster is evaluated according to the cluster multiplicity (defined by the inclusion cut). 
 * If ncog>0, the COG is evaluated using ncog strips, even if they have a negative signal (according to G.Landi)
 */
Float_t TrkCluster::GetCOG(Int_t ncog){
        
    int ic = 1;
    GetLevel1Struct();
    return cog_(&ncog,&ic);
        
};
/**
 * Evaluates the Center-Of-Gravity (COG) of the cluster, in strips, relative to the strip with the maximum signal (TrkCluster::maxs), 
 * choosing the number of strips according to the angle, as implemented for the eta-algorythm .
 *      @param angle Projected angle in degree.         
 */
Float_t TrkCluster::GetCOG(Float_t angle){
            
    Int_t neta  = 0;

//     Float_t eta = GetETA(0,angle);
//     for(neta=2; neta<10; neta++) if( eta == GetETA(neta,angle) ) break;
//    if(eta != GetETA(neta,angle) )cout << "Attenzione!! pasticcio "<<endl;

    if( view%2 ){   //Y
        neta=2;
    }else{          //X
        if( fabs(angle) <= 10. ){
            neta = 2;
        }else if( fabs(angle) > 10. && fabs(angle) <= 15. ){
            neta = 3;
        }else{
            neta = 4;
        };
    };

    return GetCOG(neta);
        
};
//--------------------------------------
//
//
//--------------------------------------
/**
 * Evaluates the cluster position, in strips, relative to the strip with the maximum signal (TrkCluster::maxs), by applying the non-linear ETA-algorythm. 
 *  @param neta  Number of strips to evaluate ETA.
 *  @param angle Projected angle between particle track and detector plane.
 * Implemented values of neta are 2,3,4. If neta=0, ETA2, ETA3 and ETA4 are applied according to the angle.
 */
Float_t TrkCluster::GetETA(Int_t neta, float angle){
        
//    cout << "GetETA(neta,angle) "<< neta << " "<< angle;
//      LoadPfaParam();

    float ax = angle;
    int ic = 1;
    GetLevel1Struct();
    if(neta == 0)      return pfaeta_(&ic,&ax);
    else if(neta == 2) return pfaeta2_(&ic,&ax);
    else if(neta == 3) return pfaeta3_(&ic,&ax);
    else if(neta == 4) return pfaeta4_(&ic,&ax);
    else cout << "ETA"<<neta<<" not implemented\n";
    return 0;
    
};
 
//--------------------------------------
//
//
//--------------------------------------
TrkLevel1::TrkLevel1(){
        
    Cluster = new TClonesArray("TrkCluster");
    
    for(Int_t i=0; i<12 ; i++){
        good[i] = -1;
        for(Int_t j=0; j<24 ; j++){
            cn[j][i]=0;
//          cnrms[j][i]=0;
            cnn[j][i]=0;
        };
    };
}
//--------------------------------------
//
//
//--------------------------------------
void TrkLevel1::Dump(){
    
    cout<<"DSP status: ";
    for(Int_t i=0; i<12 ; i++)cout<<good[i]<<" ";
    cout<<endl;
    cout<<"VA1 mask : "<<endl;
    for(Int_t i=0; i<12 ; i++){
        for(Int_t ii=0; ii<24 ; ii++){
            Int_t mask = cnn[ii][i];
            if(mask>0)mask=1;
            cout<<mask<<" ";
        }
        cout <<endl;
    }
    
    TClonesArray &t  = *Cluster;
    for(int i=0; i<this->nclstr(); i++)     ((TrkCluster *)t[i])->Dump();
    
}
//--------------------------------------
//
//
//--------------------------------------
/**
 * Fills a TrkLevel1 object with values from a struct cTrkLevel1 (to get data from F77 common).
 */
void TrkLevel1::SetFromLevel1Struct(cTrkLevel1 *l1){

    //  *** 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****
    
    for(Int_t i=0; i<12 ; i++){
        good[i] = l1->good[i];
        for(Int_t j=0; j<24 ; j++){
            cn[j][i]     = l1->cnev[j][i];
//          cnrms[j][i]  = l1->cnrmsev[j][i];
            cnn[j][i]    = l1->cnnev[j][i];
        };
    };
    
}
/**
 * Fills a struct cTrkLevel1 with values from a TrkLevel1 object (to put data into a F77 common).
 */

cTrkLevel1* TrkLevel1::GetLevel1Struct() {
        
    cTrkLevel1 *l1=0;
        //
    for(Int_t i=0; i<12 ; i++){
        l1->good[i] = good[i];
        for(Int_t j=0; j<24 ; j++){
            l1->cnev[j][i]    = cn[j][i];
//          l1->cnrmsev[j][i] = cnrms[j][i];
            l1->cnnev[j][i]   = cnn[j][i];
        };
    };
    
//  *** CLUSTERS ***
    l1->nclstr1 =  Cluster->GetEntries();
    for(Int_t i=0;i<l1->nclstr1;i++){
        
        l1->view[i]     = ((TrkCluster *)Cluster->At(i))->view;
        l1->maxs[i]     = ((TrkCluster *)Cluster->At(i))->maxs;
        // COMPLETARE //
        // COMPLETARE //
        // COMPLETARE //
        // COMPLETARE //
        // COMPLETARE //
        // COMPLETARE //
        
    }
    // COMPLETARE //
    // COMPLETARE //
    // COMPLETARE //
    // COMPLETARE //
    // COMPLETARE //
    // COMPLETARE //
    return l1;
}
//--------------------------------------
//
//
//--------------------------------------
void TrkLevel1::Clear(){
    
    for(Int_t i=0; i<12 ; i++){
        good[i] = -1;
        for(Int_t j=0; j<24 ; j++){
            cn[j][i]    = 0;
//          cnrms[j][i] = 0;
            cnn[j][i]   = 0;
        };
    };
    //
    Cluster->Clear();
    
}
//--------------------------------------
//
//
//--------------------------------------
void TrkLevel1::Delete(){
        
    for(Int_t i=0; i<12 ; i++){
        good[i] = -1;
        for(Int_t j=0; j<24 ; j++){
            cn[j][i]    = 0;
//          cnrms[j][i] = 0;
            cnn[j][i]   = 0;
        };
    };
    //
    Cluster->Delete();
    
}

//--------------------------------------
//
//
//--------------------------------------
TrkCluster *TrkLevel1::GetCluster(int is){

        if(is >= this->nclstr()){
                cout << "** TrkLevel1::GetCluster(int) ** Cluster "<< is << " does not exits! " << endl; 
                cout << "( Stored clusters nclstr() = "<< this->nclstr()<<" )" << endl;
                return 0;
        }
        TClonesArray &t = *(Cluster);
        TrkCluster *cluster = (TrkCluster*)t[is];
        return cluster;
}
//--------------------------------------
//
//
//--------------------------------------
/**
 * Load Position-Finding-Algorythm parameters (call the F77 routine).
 * 
 */
int TrkLevel1::LoadPfaParam(TString path){
        
        if( strcmp(path_.path,path.Data()) ){
            cout <<"Loading p.f.a. parameters\n";
            strcpy(path_.path,path.Data());
            path_.pathlen = path.Length();
            path_.error   = 0;
            return readetaparam_();
        }       
        return 0;
}


ClassImp(TrkLevel1);
ClassImp(TrkCluster);
1	pam-fi	1.1	/**
2			* \file TrkLevel1.cpp
3			* \author Elena Vannuccini
4			*/
5			#include <TrkLevel1.h>
6			#include <iostream>
7			using namespace std;
8	pam-fi	1.3	//......................................
9			// F77 routines
10			//......................................
11			extern "C" {
12
13			// int readetaparam_();
14			float cog_(int,int);
15			float pfaeta_(int,float);
16			float pfaeta2_(int,float);
17			float pfaeta3_(int,float);
18			float pfaeta4_(int,float);
19
20			}
21	pam-fi	1.1	//--------------------------------------
22			//
23			//
24			//--------------------------------------
25			TrkCluster::TrkCluster(){
26
27			view = 0;
28			maxs = 0;
29	pam-fi	1.2	indmax = 0;
30
31	pam-fi	1.1	CLlength = 0;
32			clsignal = 0;
33			clsigma = 0;
34			cladc = 0;
35			clbad = 0;
36
37			};
38			//--------------------------------------
39			//
40			//
41			//--------------------------------------
42			TrkCluster::~TrkCluster(){
43
44			delete [] clsignal;
45			delete [] clsigma;
46			delete [] cladc;
47			delete [] clbad;
48			};
49			//--------------------------------------
50			//
51			//
52			//--------------------------------------
53			TrkCluster::TrkCluster(const TrkCluster& t){
54
55			view = t.view;
56			maxs = t.maxs;
57	pam-fi	1.2	indmax = t.indmax;
58	pam-fi	1.1
59			CLlength = t.CLlength;
60			clsignal = new Float_t[CLlength];
61			clsigma = new Float_t[CLlength];
62			cladc = new Int_t[CLlength];
63			clbad = new Bool_t[CLlength];
64			for(Int_t i=0; i<CLlength;i++){
65			clsignal[i] = t.clsignal[i];
66			clsigma[i] = t.clsigma[i];
67			cladc[i] = t.cladc[i];
68			clbad[i] = t.clbad[i];
69			};
70
71			};
72			//--------------------------------------
73			//
74			//
75			//--------------------------------------
76	pam-fi	1.2	/**
77	pam-fi	1.5	* Evaluate the cluster signal including a maximum number of adjacent
78			* strips, around maxs, having a significant signal.
79			* @param nstrip Maximum number of strips.
80			* @param cut Inclusion cut ( s > cut*sigma ).
81			* If nstrip<=0 only the inclusion cut is used to determine the cluster size.
82	pam-fi	1.2	*/
83	pam-fi	1.5	Float_t TrkCluster::GetSignal(Int_t nstrip, Float_t cut){
84
85			Float_t s = 0;
86
87			if( nstrip<=0 ){
88			// for(Int_t is = 0; is < CLlength; is++){
89			// Float_t scut = cut*clsigma[is];
90			// if(clsignal[is] > scut) s += clsignal[is];
91			// };
92			for(Int_t is = indmax+1; is < CLlength; is++){
93			Float_t scut = cut*clsigma[is];
94			if(clsignal[is] > scut) s += clsignal[is];
95			else break;
96			};
97			for(Int_t is = indmax; is >=0; is--){
98			Float_t scut = cut*clsigma[is];
99			if(clsignal[is] > scut) s += clsignal[is];
100			else break;
101	pam-fi	1.2	};
102			return s;
103	pam-fi	1.5	};
104
105
106			Int_t il = indmax;
107			Int_t ir = indmax;
108			Int_t inc = 0;
109
110			if( clsignal[indmax] < cut*clsigma[indmax] ) return 0;
111
112			while ( inc < nstrip ){
113			Float_t sl = -100000;
114			Float_t sr = -100000;
115			if( il >= 0 ) sl = clsignal[il];
116			if( ir < CLlength ) sr = clsignal[ir];
117			if( sl == sr && inc == 0 ){
118			s += clsignal[il]; //cout << inc<<" - "<< clsignal[il]<<" "<<s<<endl;
119			il--;
120			ir++;
121			}else if ( sl >= sr && sl > cut*clsigma[il] && inc !=0 ){
122			s += sl;//cout << inc<<" - "<< clsignal[il]<<" "<<s<<endl;
123			il--;
124			}else if ( sl < sr && sr > cut*clsigma[ir] ){
125			s += sr;//cout << inc<<" - " << clsignal[ir]<<" "<<s<<endl;
126			ir++;
127			}else break;
128
129			inc++;
130			}
131			return s;
132	pam-fi	1.2	};
133	pam-fi	1.5
134	pam-fi	1.2	/**
135	pam-fi	1.5	including a ( maximum ) fixed number of adjacent strips (with s>0) around the maxs.
136	pam-fi	1.3	* @param nstrip Number of strips.
137			*/
138	pam-fi	1.2	/**
139	pam-fi	1.5	* Evaluate the cluster signal-to-noise, as defined by Turchetta, including a maximum number of adjacent strips, around maxs, having a significant signal.
140			* @param nstrip Maximum number of strips.
141			* @param cut Inclusion cut ( s > cut*sigma ).
142			* If nstrip<=0 only the inclusion cut is used to determine the cluster size.
143	pam-fi	1.3	*/
144	pam-fi	1.5	Float_t TrkCluster::GetSignalToNoise(Int_t nstrip, Float_t cut){
145	pam-fi	1.3
146	pam-fi	1.5	Float_t sn = 0;
147
148			if( nstrip<=0 ){
149			for(Int_t is = indmax+1; is < CLlength; is++){
150			Float_t scut = cut*clsigma[is];
151			if(clsignal[is] > scut) sn += clsignal[is]/clsigma[is];
152			else break;
153			};
154			for(Int_t is = indmax; is >=0; is--){
155			Float_t scut = cut*clsigma[is];
156			if(clsignal[is] > scut) sn += clsignal[is]/clsigma[is];
157			else break;
158			};
159	pam-fi	1.3	return sn;
160	pam-fi	1.5	};
161
162
163			Int_t il = indmax;
164			Int_t ir = indmax;
165			Int_t inc = 0;
166
167			if( clsignal[indmax] < cut*clsigma[indmax] ) return 0;
168
169			while ( inc < nstrip ){
170			Float_t sl = -100000;
171			Float_t sr = -100000;
172			if( il >= 0 ) sl = clsignal[il];
173			if( ir < CLlength ) sr = clsignal[ir];
174			if( sl == sr && inc == 0 ){
175			sn += clsignal[il]/clsigma[il];
176			il--;
177			ir++;
178			}else if ( sl >= sr && sl > cut*clsigma[il] && inc !=0 ){
179			sn += sl/clsigma[il];
180			il--;
181			}else if ( sl < sr && sr > cut*clsigma[ir] ){
182			sn += sr/clsigma[ir];
183			ir++;
184			}else break;
185
186			inc++;
187			}
188			return sn;
189	pam-fi	1.3	};
190			/**
191	pam-fi	1.2	* Evaluate the cluster multiplicity.
192			* @param cut Inclusion cut.
193			*/
194			Int_t TrkCluster::GetMultiplicity(Float_t cut){
195			Int_t m = 0;
196			for(Int_t is = 0; is < CLlength; is++){
197			Float_t scut = cut*clsigma[is];
198			if(clsignal[is] > scut) m++;
199			};
200			return m;
201			};
202			/**
203			* True if the cluster contains bad strips.
204			* @param nbad Number of strips around the maximum.
205			*/
206			Bool_t TrkCluster::IsBad(Int_t nbad){
207
208			/* Float_t max = 0;
209			Int_t imax = 0;
210			for(Int_t is = 0; is < CLlength; is++){
211			if(clsignal[is] > max){
212			max = clsignal[is];
213			imax = is;
214			};
215			};
216
217			Int_t il,ir;
218			il = imax;
219			ir = imax;*/
220
221			Int_t il,ir;
222			il = indmax;
223			ir = indmax;
224			for(Int_t i=1; i<nbad; i++){
225			if (ir == CLlength && il == 0)break;
226			else if (ir == CLlength && il != 0)il--;
227			else if (ir != CLlength && il == 0)ir++;
228			else{
229			if(clsignal[il-1] > clsignal[ir+1])il--;
230			else ir++;
231			}
232			}
233			Int_t isbad = 0;
234			for(Int_t i=il; i<=ir; i++)isbad += clbad[i];
235
236			return ( isbad != nbad );
237			};
238			//--------------------------------------
239			//
240			//
241			//--------------------------------------
242	pam-fi	1.1	void TrkCluster::Dump(){
243
244			cout << "----- Cluster" << endl;
245	pam-fi	1.2	cout << "View "<<view << " - Ladder "<<GetLadder()<<endl;
246			cout << "Position of maximun "<< maxs <<endl;
247			cout << "Multiplicity "<< GetMultiplicity() <<endl;
248			cout << "Tot signal "<< GetSignal() << " (ADC channels)"<<endl ;
249			cout << "Signal/Noise "<< GetSignalToNoise();
250	pam-fi	1.1	cout <<endl<< "Strip signals ";
251			for(Int_t i =0; i<CLlength; i++)cout << " " <<clsignal[i];
252			cout <<endl<< "Strip sigmas ";
253			for(Int_t i =0; i<CLlength; i++)cout << " " <<clsigma[i];
254			cout <<endl<< "Strip ADC ";
255			for(Int_t i =0; i<CLlength; i++)cout << " " <<cladc[i];
256			cout <<endl<< "Strip BAD ";
257	pam-fi	1.2	for(Int_t i =0; i<CLlength; i++){
258			if(i==indmax)cout << " " <<clbad[i]<<"";
259			else cout << " " <<clbad[i];
260			}
261	pam-fi	1.1	cout << endl;
262
263			}
264			//--------------------------------------
265			//
266			//
267			//--------------------------------------
268	pam-fi	1.3	/**
269			* Method to fill a level1 struct with only one cluster (done to use F77 p.f.a. routines on a cluster basis).
270			*/
271			cTrkLevel1* TrkCluster::GetLevel1Struct(){
272
273	pam-fi	1.6	// cTrkLevel1* l1 = new cTrkLevel1;
274
275			cTrkLevel1* l1 = &level1event_ ;
276	pam-fi	1.3
277	pam-fi	1.6	l1->nclstr1 = 1;
278			l1->view[0] = view;
279			l1->ladder[0] = GetLadder();
280			l1->maxs[0] = maxs;
281			l1->mult[0] = GetMultiplicity();
282			l1->dedx[0] = GetSignal();
283			l1->indstart[0] = 1;
284			l1->indmax[0] = indmax+1;
285			l1->totCLlength = CLlength;
286			for(Int_t i=0; i<CLlength; i++){
287			l1->clsignal[i] = clsignal[i];
288			l1->clsigma[i] = clsigma[i];
289			l1->cladc[i] = cladc[i];
290			l1->clbad[i] = clbad[i];
291			};
292
293			return l1;
294	pam-fi	1.3	};
295			//--------------------------------------
296			//
297			//
298			//--------------------------------------
299			/**
300			* Evaluates the Center-Of-Gravity (COG) of the cluster, in strips, relative to the strip with the maximum signal (TrkCluster::maxs).
301			* @param ncog Number of strips to evaluate COG.
302			* If ncog=0, the COG of the cluster is evaluated according to the cluster multiplicity (defined by the inclusion cut).
303			* If ncog>0, the COG is evaluated using ncog strips, even if they have a negative signal (according to G.Landi)
304			*/
305			Float_t TrkCluster::GetCOG(Int_t ncog){
306
307	pam-fi	1.6	int ic = 1;
308			GetLevel1Struct();
309			return cog_(&ncog,&ic);
310
311			};
312			/**
313			* Evaluates the Center-Of-Gravity (COG) of the cluster, in strips, relative to the strip with the maximum signal (TrkCluster::maxs),
314			* choosing the number of strips according to the angle, as implemented for the eta-algorythm .
315			* @param angle Projected angle in degree.
316			*/
317			Float_t TrkCluster::GetCOG(Float_t angle){
318
319			Int_t neta = 0;
320
321			// Float_t eta = GetETA(0,angle);
322			// for(neta=2; neta<10; neta++) if( eta == GetETA(neta,angle) ) break;
323			// if(eta != GetETA(neta,angle) )cout << "Attenzione!! pasticcio "<<endl;
324
325			if( view%2 ){ //Y
326			neta=2;
327			}else{ //X
328	pam-fi	1.7	if( fabs(angle) <= 10. ){
329	pam-fi	1.6	neta = 2;
330	pam-fi	1.7	}else if( fabs(angle) > 10. && fabs(angle) <= 15. ){
331	pam-fi	1.6	neta = 3;
332			}else{
333			neta = 4;
334			};
335			};
336
337			return GetCOG(neta);
338	pam-fi	1.3
339			};
340			//--------------------------------------
341			//
342			//
343			//--------------------------------------
344			/**
345			* Evaluates the cluster position, in strips, relative to the strip with the maximum signal (TrkCluster::maxs), by applying the non-linear ETA-algorythm.
346			* @param neta Number of strips to evaluate ETA.
347			* @param angle Projected angle between particle track and detector plane.
348			* Implemented values of neta are 2,3,4. If neta=0, ETA2, ETA3 and ETA4 are applied according to the angle.
349			*/
350			Float_t TrkCluster::GetETA(Int_t neta, float angle){
351
352	pam-fi	1.6	// cout << "GetETA(neta,angle) "<< neta << " "<< angle;
353	pam-fi	1.3	// LoadPfaParam();
354	pam-fi	1.6
355			float ax = angle;
356			int ic = 1;
357			GetLevel1Struct();
358			if(neta == 0) return pfaeta_(&ic,&ax);
359			else if(neta == 2) return pfaeta2_(&ic,&ax);
360			else if(neta == 3) return pfaeta3_(&ic,&ax);
361			else if(neta == 4) return pfaeta4_(&ic,&ax);
362			else cout << "ETA"<<neta<<" not implemented\n";
363			return 0;
364
365	pam-fi	1.3	};
366
367			//--------------------------------------
368			//
369			//
370			//--------------------------------------
371	pam-fi	1.1	TrkLevel1::TrkLevel1(){
372	pam-fi	1.6
373			Cluster = new TClonesArray("TrkCluster");
374	pam-fi	1.1
375	pam-fi	1.6	for(Int_t i=0; i<12 ; i++){
376			good[i] = -1;
377			for(Int_t j=0; j<24 ; j++){
378			cn[j][i]=0;
379			// cnrms[j][i]=0;
380			cnn[j][i]=0;
381	pam-fi	1.1	};
382	pam-fi	1.6	};
383	pam-fi	1.1	}
384			//--------------------------------------
385			//
386			//
387			//--------------------------------------
388			void TrkLevel1::Dump(){
389
390	pam-fi	1.6	cout<<"DSP status: ";
391			for(Int_t i=0; i<12 ; i++)cout<<good[i]<<" ";
392			cout<<endl;
393	pam-fi	1.9	cout<<"VA1 mask : "<<endl;
394			for(Int_t i=0; i<12 ; i++){
395			for(Int_t ii=0; ii<24 ; ii++){
396			Int_t mask = cnn[ii][i];
397			if(mask>0)mask=1;
398			cout<<mask<<" ";
399			}
400			cout <<endl;
401			}
402	pam-fi	1.6
403			TClonesArray &t = *Cluster;
404			for(int i=0; i<this->nclstr(); i++) ((TrkCluster *)t[i])->Dump();
405
406	pam-fi	1.1	}
407			//--------------------------------------
408			//
409			//
410			//--------------------------------------
411			/**
412			* Fills a TrkLevel1 object with values from a struct cTrkLevel1 (to get data from F77 common).
413			*/
414			void TrkLevel1::SetFromLevel1Struct(cTrkLevel1 *l1){
415
416	pam-fi	1.6	// * CLUSTER *
417			TrkCluster* t_cl = new TrkCluster();
418			TClonesArray &t = *Cluster;
419			for(int i=0; i<l1->nclstr1; i++){
420
421			t_cl->view = l1->view[i];
422			t_cl->maxs = l1->maxs[i];
423			t_cl->indmax = l1->indmax[i] - l1->indstart[i];
424
425			Int_t from = l1->indstart[i] -1;
426			Int_t to = l1->totCLlength ;
427			if(i != l1->nclstr1-1)to = l1->indstart[i+1] -1 ;
428			t_cl->CLlength = to - from ;
429
430			t_cl->clsignal = new Float_t[t_cl->CLlength];
431			t_cl->clsigma = new Float_t[t_cl->CLlength];
432			t_cl->cladc = new Int_t[t_cl->CLlength];
433			t_cl->clbad = new Bool_t[t_cl->CLlength];
434			Int_t index = 0;
435			for(Int_t is = from; is < to; is++ ){
436			t_cl->clsignal[index] = (Float_t) l1->clsignal[is];
437			t_cl->clsigma[index] = (Float_t) l1->clsigma[is];
438			t_cl->cladc[index] = (Int_t) l1->cladc[is];
439			t_cl->clbad[index] = (Bool_t) l1->clbad[is];
440			index++;
441	pam-fi	1.1	};
442
443	pam-fi	1.6	new(t[i]) TrkCluster(*t_cl);
444			};
445
446			delete t_cl;
447
448			// **general variables**
449
450			for(Int_t i=0; i<12 ; i++){
451			good[i] = l1->good[i];
452			for(Int_t j=0; j<24 ; j++){
453			cn[j][i] = l1->cnev[j][i];
454			// cnrms[j][i] = l1->cnrmsev[j][i];
455			cnn[j][i] = l1->cnnev[j][i];
456	pam-fi	1.1	};
457	pam-fi	1.6	};
458
459	pam-fi	1.1	}
460			/**
461			* Fills a struct cTrkLevel1 with values from a TrkLevel1 object (to put data into a F77 common).
462			*/
463
464	pam-fi	1.3	cTrkLevel1* TrkLevel1::GetLevel1Struct() {
465
466	pam-fi	1.6	cTrkLevel1 *l1=0;
467	pam-fi	1.3	//
468	pam-fi	1.6	for(Int_t i=0; i<12 ; i++){
469			l1->good[i] = good[i];
470			for(Int_t j=0; j<24 ; j++){
471			l1->cnev[j][i] = cn[j][i];
472			// l1->cnrmsev[j][i] = cnrms[j][i];
473			l1->cnnev[j][i] = cnn[j][i];
474	pam-fi	1.1	};
475	pam-fi	1.6	};
476
477	pam-fi	1.1	// * CLUSTERS *
478			l1->nclstr1 = Cluster->GetEntries();
479	pam-fi	1.6	for(Int_t i=0;i<l1->nclstr1;i++){
480
481			l1->view[i] = ((TrkCluster *)Cluster->At(i))->view;
482			l1->maxs[i] = ((TrkCluster *)Cluster->At(i))->maxs;
483	pam-fi	1.3	// COMPLETARE //
484			// COMPLETARE //
485			// COMPLETARE //
486			// COMPLETARE //
487			// COMPLETARE //
488			// COMPLETARE //
489	pam-fi	1.6
490			}
491			// COMPLETARE //
492			// COMPLETARE //
493			// COMPLETARE //
494			// COMPLETARE //
495			// COMPLETARE //
496			// COMPLETARE //
497			return l1;
498	pam-fi	1.3	}
499			//--------------------------------------
500			//
501			//
502			//--------------------------------------
503			void TrkLevel1::Clear(){
504	pam-fi	1.6
505			for(Int_t i=0; i<12 ; i++){
506			good[i] = -1;
507			for(Int_t j=0; j<24 ; j++){
508			cn[j][i] = 0;
509			// cnrms[j][i] = 0;
510			cnn[j][i] = 0;
511	pam-fi	1.3	};
512	pam-fi	1.6	};
513			//
514			Cluster->Clear();
515
516	pam-fi	1.1	}
517			//--------------------------------------
518			//
519			//
520			//--------------------------------------
521	pam-fi	1.3	void TrkLevel1::Delete(){
522	pam-fi	1.1
523	pam-fi	1.6	for(Int_t i=0; i<12 ; i++){
524			good[i] = -1;
525			for(Int_t j=0; j<24 ; j++){
526			cn[j][i] = 0;
527			// cnrms[j][i] = 0;
528			cnn[j][i] = 0;
529	pam-fi	1.1	};
530	pam-fi	1.6	};
531			//
532			Cluster->Delete();
533
534	pam-fi	1.1	}
535	pam-fi	1.3
536	pam-fi	1.1	//--------------------------------------
537			//
538			//
539			//--------------------------------------
540			TrkCluster *TrkLevel1::GetCluster(int is){
541
542			if(is >= this->nclstr()){
543			cout << " TrkLevel1::GetCluster(int) Cluster "<< is << " does not exits! " << endl;
544			cout << "( Stored clusters nclstr() = "<< this->nclstr()<<" )" << endl;
545			return 0;
546			}
547			TClonesArray &t = *(Cluster);
548			TrkCluster cluster = (TrkCluster)t[is];
549			return cluster;
550			}
551	pam-fi	1.3	//--------------------------------------
552			//
553			//
554			//--------------------------------------
555			/**
556			* Load Position-Finding-Algorythm parameters (call the F77 routine).
557			*
558			*/
559			int TrkLevel1::LoadPfaParam(TString path){
560
561			if( strcmp(path_.path,path.Data()) ){
562	pam-fi	1.8	cout <<"Loading p.f.a. parameters\n";
563			strcpy(path_.path,path.Data());
564			path_.pathlen = path.Length();
565			path_.error = 0;
566			return readetaparam_();
567	pam-fi	1.3	}
568			return 0;
569			}
570	pam-fi	1.1
571
572			ClassImp(TrkLevel1);
573			ClassImp(TrkCluster);