TFParams.cc

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#include <CalibCalorimetry/EcalLaserAnalyzer/interface/TFParams.h>
#include "TMatrixD.h"
#include "TMath.h"

#include <iostream>
#include <ctime>

//ClassImp(TFParams)

using namespace std;

TFParams::TFParams(int size, int size_sh) {
  //int  sdim = size;
  //int plshdim = size_sh;

  for (int i = 0; i < 10; i++) {
    for (int j = 0; j < 10; j++) {
      weight_matrix[i][j] = 8.;
    }
  }
}

double TFParams::fitpj(double **adcval, double *parout, double **db_i, double noise_val, int debug) {
#define dimn 10
#define dimin 10
#define plshdim 300
#define nsamp 10
#define ntrack 500
  //#define debug debug1

  // ******************************************************************
  // *  Definitions of variables used in the routine
  // ******************************************************************

  double a1, a2, a3, b1, b2;
  int iter, nevt;
  //double errpj[dimmat][dimmat]  ;
  double bi[ntrack][2], dbi[ntrack][2];
  double zi[ntrack][2];
  double par3degre[3];
  int ioktk[ntrack], nk, nborn_min = 0, nborn_max = 0;
  double cti[ntrack][6], dm1i[ntrack][4];
  double par[4], tsig[1];
  double amp, delta[nsamp], delta2, fun;
  double num_fit_min[ntrack], num_fit_max[ntrack];
  int i, j, k, imax[ntrack];

  double ampmax[ntrack], dt, t;
  double chi2, chi2s, da1[nsamp], da2[nsamp], db1[nsamp], db2[nsamp];
  double chi2tot;
  double fact2;
  double albet, dtsbeta, variab, alpha, beta;
  double unsurs1 /*,unsurs2*/;
  //  double fit3 ;
  int numb_a, numb_b, numb_x;

  fun = 0;
  chi2s = 0;
  chi2tot = 0;
  matrice DA, DAT, BK, DB, DBT, C, CT, D, DM1, CDM1, CDM1CT, Z, CDM1Z, YK, Y, B, X, XINV, RES2;
  matrice A_CROISS, ZMCT;

  double *amplu;
  amplu = new double[nsamp];

  parout[0] = 0.;
  parout[1] = 0.;
  parout[2] = 0.;

  //
  //  Initialisation of fit parameters
  //

  a1 = a1ini;
  a2 = a2ini;
  a3 = a3ini;
  if (METHODE == 2) {
    a2 = a3ini;  // for lastshape BETA is the third parameter ( ... ! )
  }
  if (debug == 1) {
    printf(" ------> __> valeurs de a1 %f a2 %f a3 %f\n", a1, a2, a3);
  }
  for (i = 0; i < ntrack; i++) {
    for (j = 0; j < 2; j++) {
      bi[i][j] = (double)0.;
      dbi[i][j] = (double)0.;
      zi[i][j] = (double)0.;
      cti[i][j] = (double)0.;
      dm1i[i][j] = (double)0.;
    }
  }

  numb_a = 2;

  //
  //  Matrices initialisation
  //

  numb_x = 1;
  numb_b = 2;
  DA = cree_mat(numb_a, numb_x);
  DAT = cree_mat(numb_x, numb_a);
  BK = cree_mat_prod(DA, DAT);
  DB = cree_mat(numb_b, numb_x);
  DBT = cree_mat(numb_x, numb_b);
  C = cree_mat(numb_a, numb_b);
  CT = cree_mat(numb_b, numb_a);
  D = cree_mat_prod(DB, DBT);
  DM1 = cree_mat_prod(DB, DBT);
  CDM1 = cree_mat_prod(C, DM1);
  CDM1CT = cree_mat_prod(CDM1, CT);
  Z = cree_mat(numb_b, numb_x);
  CDM1Z = cree_mat_prod(CDM1, Z);
  YK = cree_mat(numb_a, numb_x);
  Y = cree_mat(numb_a, numb_x);
  B = cree_mat_prod(DA, DAT);
  X = cree_mat_prod(DA, DAT);
  XINV = cree_mat_prod(DA, DAT);
  RES2 = cree_mat(numb_a, numb_x);
  A_CROISS = cree_mat(numb_a, numb_x);
  ZMCT = cree_mat(numb_b, numb_x);

  // First Loop on iterations //

  for (iter = 0; iter < 6; iter++) {
    chi2tot = 0;

    //
    //    Set zeros for general matrices
    //

    if (debug == 1) {
      printf(" Debut de l'iteration numero %d \n", iter);
    }
    zero_mat(CDM1Z);
    zero_mat(Y);
    zero_mat(CDM1CT);
    zero_mat(B);
    zero_mat(X);
    zero_mat(CDM1);

    nk = -1;
    if (debug == 1) {
      printf(" resultats injectes a iterations %d \n", iter);
      printf(" parametre a1 = %f \n", a1);
      printf(" parametre a2 = %f \n", a2);
      printf(" chi2 du fit chi2s = %f \n", chi2s);

      printf(" value de nevtmax _______________ %d \n", nevtmax);
    }

    //  Loop on events //

    for (nevt = 0; nevt < nevtmax; nevt++) {
      //       B1 = BI[nk,1] est la normalisation du signal
      //       B2 = BI[nk,2] ewst le dephasage par rapport a une
      //                 fonction centree en zero
      //        Nous choisissons ici de demarrer avec les resultats
      //            de l'ajustement parabolique mais il faudra bien
      //            entendu verifier que cela ne biaise pas le resultat !
      //            mise a zero des matrices utilisees dans la boucle

      zero_mat(Z);
      zero_mat(YK);
      zero_mat(BK);
      zero_mat(C);
      zero_mat(D);

      nk = nevt;
      ampmax[nk] = 0.;
      imax[nk] = 0;
      for (k = 0; k < 10; k++) {
        amplu[k] = adcval[nevt][k];
        if (amplu[k] > ampmax[nk]) {
          ampmax[nk] = amplu[k];
          imax[nk] = k;
        }
      }

      if (iter == 0) {
        // start with degree 3 polynomial ....
        //fit3 =polfit(ns ,imax[nk] ,par3degre ,errpj ,amplu ) ;
        //  std::cout << "Poly Fit Param  :"<< par3degre[0] <<" "<< par3degre[1]<< std::endl;

        // start with parabol
        //fit3 = parab(amplu,4,12,par3degre) ;
        /*fit3 =*/parab(amplu, 2, 9, par3degre);
        //std::cout << "Parab Fit Param :"<< par3degre[0] <<" "<< par3degre[1]<< std::endl;

        // start with basic initial values
        //par3degre[0]= ampmax+ampmax/10. ;
        //par3degre[1]= (double)imax[nk]+0.1 ;
        //bi[nk][0] = ampmax[nk] ;
        //bi[nk][1] = (double)imax[nk] ;

        num_fit_min[nevt] = (double)imax[nk] - (double)nsmin;
        num_fit_max[nevt] = (double)imax[nk] + (double)nsmax;

        bi[nk][0] = par3degre[0];
        bi[nk][1] = par3degre[1];

        if (debug == 1) {
          printf("---------> depart ampmax[%d]=%f   maximum %f tim %f \n", nk, ampmax[nk], bi[nk][0], bi[nk][1]);
        }

      } else {
        //  in other iterations  :
        //   increment bi[][] parameters with bdi[][]
        //   calculated in previous
        //   iteration

        bi[nk][0] += dbi[nk][0];
        bi[nk][1] += dbi[nk][1];

        if (debug == 1) {
          printf("iter %d valeur de max %f et norma %f poly 3 \n", iter, bi[nk][1], bi[nk][0]);
        }
      }

      b1 = bi[nk][0];
      b2 = bi[nk][1];

      // Loop on samples //

      chi2 = 0.;
      ioktk[nk] = 0;
      ns = nborn_max - nborn_min + 1;

      for (k = 0; k < 10; k++) {
        //
        //  calculation of fonction used to fit
        //

        dt = (double)k - b2;
        t = (double)k;
        amp = amplu[k];
        if (debug == 1) {
          printf(" CHECK sample %f ampli %f \n", t, amp);
        }
        //unsurs1 = 1./sig_err ;
        //unsurs2 = 1./(sig_err*sig_err) ;
        //unsurs1 = 0.1 ;
        //unsurs2 = 0.01 ;

        unsurs1 = 1. / noise_val;
        //unsurs2=(1./noise_val)*(1./noise_val);

        //
        // Pulse shape function used: pulseShapepj
        //

        nborn_min = (int)num_fit_min[nevt];
        nborn_max = (int)num_fit_max[nevt];
        if (k < nborn_min || k > nborn_max)
          continue;
        tsig[0] = (double)k;

        if (METHODE == 2) {
          par[0] = b1;
          par[1] = b2;
          par[2] = a1;
          par[3] = a2;
          fun = pulseShapepj(tsig, par);
        }
        if (debug == 1) {
          printf(" valeur ampli %f et function %f min %d max %d \n", amp, fun, nsmin, nsmax);
          printf("min %f max %f \n", num_fit_min[nevt], num_fit_max[nevt]);
        }

        //   we need to determine a1,a2 which are global parameters
        //    and  b1, b2 which are parameters for each individual signal:
        //        b1, b2 = amplitude and time event by event
        //        a1, a2 = alpha and beta global
        //    we first begin to calculate the derivatives used in the following calculation

        if (METHODE == 2) {
          alpha = a1;
          beta = a2;
          albet = alpha * beta;
          if (dt > -albet) {
            variab = (double)1. + dt / albet;
            dtsbeta = dt / beta;
            db1[k] = unsurs1 * fun / b1;
            fact2 = fun;
            db2[k] = unsurs1 * fact2 * dtsbeta / (albet * variab);
            da1[k] = unsurs1 * fact2 * (log(variab) - dtsbeta / (alpha * variab));
            da2[k] = unsurs1 * fact2 * dtsbeta * dtsbeta / (albet * variab);
          }
        }
        delta[k] = (amp - fun) * unsurs1;
        if (debug == 1) {
          printf(" ------->iter %d valeur de k %d amp %f fun %f delta %f \n", iter, k, amp, fun, delta[k]);
          printf(" -----> valeur de k %d delta %f da1 %f da2 %f  \n", k, delta[k], da1[k], da2[k]);
        }

        chi2 = chi2 + delta[k] * delta[k];

        if (debug == 1) {
          printf(" CHECK chi2 %f deltachi2 %f sample %d iter %d \n", chi2, delta[k] * delta[k], k, iter);
        }
      }

      // End Loop on samples //

      double wk1wk2;

      // Start Loop on samples //

      for (int k1 = nborn_min; k1 < nborn_max + 1; k1++) {
        wk1wk2 = 1.;
        int k2 = k1;

        DA.coeff[0][0] = da1[k1] * wk1wk2;
        DA.coeff[1][0] = da2[k1] * wk1wk2;
        DAT.coeff[0][0] = da1[k2];
        DAT.coeff[0][1] = da2[k2];
        DB.coeff[0][0] = db1[k1] * wk1wk2;
        DB.coeff[1][0] = db2[k1] * wk1wk2;
        DBT.coeff[0][0] = db1[k2];
        DBT.coeff[0][1] = db2[k2];

        //  Compute derivative matrix : matrix b[2][2]

        produit_mat_int(DA, DAT, BK);

        //  Compute matrix c[2][2]

        produit_mat_int(DA, DBT, C);

        //  Compute matrix d[2][2]

        produit_mat_int(DB, DBT, D);

        //  Compute matrix y[3] and z[2] depending of delta (amp-fun)

        delta2 = delta[k2];

        somme_mat_int_scale(DA, YK, delta2);
        somme_mat_int_scale(DB, Z, delta2);

        ioktk[nk]++;
      }

      // End Loop on samples //

      //  Remove events with a bad shape

      if (ioktk[nk] < 4) {
        printf(" event rejected because npamp_used = %d \n", ioktk[nk]);
        continue;
      }
      chi2s = chi2 / (2. + (double)ns + 2.);
      chi2tot += chi2s;

      if (debug == 1) {
        if (nevt == 198 || nevt == 199) {
          std::cout << "adc123 pour l'evt " << nevt << " = " << adcval[nevt][nborn_min] << " = "
                    << adcval[nevt][imax[nevt]] << " = " << adcval[nevt][nborn_max] << std::endl;
          std::cout << "chi2s  pour l'evt " << nevt << " = " << chi2s << " " << chi2 << " " << ns << "  " << iter
                    << std::endl;
          std::cout << "chi2tot           " << nevt << " = " << chi2tot << "  " << iter << std::endl;
        }
      }

      //  Transpose matrix C ---> CT

      transpose_mat(C, CT);

      //  Calculate DM1 (inverse of D matrix 2x2)

      inverse_mat(D, DM1);

      //  Set matrix product c*d in memory in order to compute variations
      //   of parameters B at the end of the iteration loop
      //   the variations of parameters b are dependant of the variations of
      //   parameters da[1],da[2]

      cti[nk][0] = CT.coeff[0][0];
      cti[nk][1] = CT.coeff[0][1];
      cti[nk][2] = CT.coeff[1][0];
      cti[nk][3] = CT.coeff[1][1];

      dm1i[nk][0] = DM1.coeff[0][0];
      dm1i[nk][1] = DM1.coeff[0][1];
      dm1i[nk][2] = DM1.coeff[1][0];
      dm1i[nk][3] = DM1.coeff[1][1];

      zi[nk][0] = Z.coeff[0][0];
      zi[nk][1] = Z.coeff[1][0];

      //   Sum the matrix b and y after every event

      for (k = 0; k < numb_a; k++) {
        Y.coeff[k][0] += YK.coeff[k][0];
      }
      somme_mat_int(BK, B);

      //   Calculate c(d-1)

      produit_mat(C, DM1, CDM1);

      // Compute c(d-1)ct

      produit_mat_int(CDM1, CT, CDM1CT);

      // Compute c(d-1)z

      produit_mat_int(CDM1, Z, CDM1Z);
    }
    // End Loop on events //

    //  Compute b-cdm1ct

    diff_mat(B, CDM1CT, X);
    inverse_mat(X, XINV);
    diff_mat(Y, CDM1Z, RES2);

    // Calculation is now easy for da[0] da[1]

    produit_mat(XINV, RES2, A_CROISS);

    //  A la fin, on peut iterer en mesurant l'accroissement a apporter
    //    des parametres globaux par la formule db[i] = dm1(z-ct*da[i])

    for (k = 0; k < nk + 1; k++) {
      if (METHODE == 2) {
        ZMCT.coeff[0][0] = zi[k][0] - (cti[k][0] * A_CROISS.coeff[0][0] + cti[k][1] * A_CROISS.coeff[1][0]);
        ZMCT.coeff[1][0] = zi[k][1] - (cti[k][2] * A_CROISS.coeff[0][0] + cti[k][3] * A_CROISS.coeff[1][0]);
      }

      dbi[k][0] = dm1i[k][0] * ZMCT.coeff[0][0] + dm1i[k][1] * ZMCT.coeff[1][0];
      dbi[k][1] = dm1i[k][2] * ZMCT.coeff[0][0] + dm1i[k][3] * ZMCT.coeff[1][0];
      if (debug == 1) {
        if (k < 100) {
          printf(" variations de b1= %f et b2= %f  \n", dbi[k][0], dbi[k][1]);
        }
      }
      db_i[k][0] = bi[k][0] + dbi[k][0];
      db_i[k][1] = bi[k][1] + dbi[k][1];
    }

    //   dbi[0] et dbi[1] mesurent les variations a apporter aux
    //   parametres du signal

    a1 += A_CROISS.coeff[0][0];
    a2 += A_CROISS.coeff[1][0];

    if (debug == 1) {
      printf(" CHECK croiss coef0: %f  croiss coef1: %f iter %d \n",
             fabs(A_CROISS.coeff[0][0]),
             fabs(A_CROISS.coeff[1][0]),
             iter);
    }
    if (fabs(A_CROISS.coeff[0][0]) < 0.001 && fabs(A_CROISS.coeff[1][0]) < 0.001)
      break;
  }

  //  End Loop on iterations //

  parout[0] = a1;
  parout[1] = a2;
  parout[2] = a3;
  if (debug == 1) {
    printf(" resultats trouves au bout de %d iterations \n", iter);
    printf(" parametre a1 = %f \n", a1);
    printf(" parametre a2 = %f \n", a2);
  }

  if (debug == 1) {
    std::cout << " Final chi2 / NDOF  :  " << chi2tot / nevtmax << std::endl;
    std::cout << " Final (alpha,beta) : (" << a1 << "," << a2 << ")" << std::endl;
  }

  return chi2tot / nevtmax;
}

// End  Fitpj //

/**************************************************************************/
void TFParams::set_const(int n_samples, int sample_min, int sample_max, double alpha, double beta, int nevtmaximum) {
  /*------------------------------------------------------------------------*/
  ns = n_samples;
  nsmin = sample_min;
  nsmax = sample_max;
  nevtmax = nevtmaximum;
  a1ini = alpha;
  a2ini = 0.0;
  a3ini = beta;
  step_shape = .04;
  METHODE = 2;
  if (ns > SDIM2)
    printf("warning: NbOfsamples exceed maximum\n");
}
void TFParams::produit_mat(matrice A, matrice B, matrice M) {
  int i, j, k;
  //  resultat du produit A*B = M
  if (A.nb_colonnes != B.nb_lignes) {
    printf(" Erreur : produit de matrices de tailles incompatibles \n ");
    M.coeff = nullptr;
    return;
  }
  M.nb_lignes = A.nb_lignes;
  M.nb_colonnes = B.nb_colonnes;
  zero_mat(M);
  for (i = 0; i < M.nb_lignes; i++) {
    for (j = 0; j < M.nb_colonnes; j++) {
      for (k = 0; k < A.nb_colonnes; k++) {
        M.coeff[i][j] += A.coeff[i][k] * B.coeff[k][j];
      }
    }
  }
  return;
}

void TFParams::produit_mat_int(matrice A, matrice B, matrice M) {
  int i, j, k;
  if (A.nb_colonnes != B.nb_lignes) {
    printf(" Erreur : produit de matrices de tailles incompatibles \n ");
    M.coeff = nullptr;
    return;
  }
  M.nb_lignes = A.nb_lignes;
  M.nb_colonnes = B.nb_colonnes;
  for (i = 0; i < M.nb_lignes; i++) {
    for (j = 0; j < M.nb_colonnes; j++) {
      for (k = 0; k < A.nb_colonnes; k++) {
        M.coeff[i][j] += A.coeff[i][k] * B.coeff[k][j];
      }
    }
  }
  return;
}
void TFParams::diff_mat(matrice A, matrice B, matrice M) {
  int i, j;
  //resultat de la difference A-B = M
  if (A.nb_lignes != B.nb_lignes) {
    printf(" Erreur : difference de matrices de tailles incompatibles \n ");
    M.coeff = nullptr;
    return;
  }
  M.nb_lignes = A.nb_lignes;
  M.nb_colonnes = A.nb_colonnes;
  for (i = 0; i < M.nb_lignes; i++) {
    for (j = 0; j < M.nb_colonnes; j++) {
      M.coeff[i][j] = A.coeff[i][j] - B.coeff[i][j];
    }
  }
  return;
}
void TFParams::copie_colonne_mat(matrice A, matrice M, int nk) {
  int i, j;
  int k;
  /* resultat de la copie de A dans un vecteur colonne M */
  k = 0;
  for (i = 0; i < A.nb_lignes; i++) {
    for (j = 0; j < A.nb_colonnes; j++) {
      M.coeff[nk][k] = A.coeff[i][j];
      printf(" copie nk %d  i %d j %d k %d A %e M %e \n ", nk, i, j, k, A.coeff[i][j], M.coeff[nk][k]);
      k++;
    }
  }
  return;
}

void TFParams::somme_mat_int(matrice A, matrice M) {
  int i, j;
  /* resultat de la somme integree M += A */
  if (A.nb_lignes != M.nb_lignes) {
    printf(" Erreur : somme de matrices de tailles incompatibles \n ");
    M.coeff = nullptr;
    return;
  }
  M.nb_lignes = A.nb_lignes;
  M.nb_colonnes = A.nb_colonnes;
  for (i = 0; i < M.nb_lignes; i++) {
    for (j = 0; j < M.nb_colonnes; j++)
      M.coeff[i][j] += A.coeff[i][j];
  }
  return;
}
void TFParams::somme_mat_int_scale(matrice A, matrice M, double delta) {
  int i, j;
  M.nb_lignes = A.nb_lignes;
  M.nb_colonnes = A.nb_colonnes;
  for (i = 0; i < M.nb_lignes; i++) {
    for (j = 0; j < M.nb_colonnes; j++)
      M.coeff[i][j] += A.coeff[i][j] * delta;
  }
  return;
}
void TFParams::transpose_mat(matrice A, matrice M) {
  int i, j;
  // resultat de la transposition = matrice M
  for (i = 0; i < A.nb_lignes; i++) {
    for (j = 0; j < A.nb_colonnes; j++) {
      M.coeff[j][i] = A.coeff[i][j];
    }
  }
  return;
}
matrice cree_mat_prod(matrice A, matrice B) {
  int i, j;
  matrice M; /* resultat de la creation */

  M.nb_lignes = A.nb_lignes;
  M.nb_colonnes = B.nb_colonnes;
  M.coeff = (double **)malloc(M.nb_lignes * sizeof(double *));
  for (i = 0; i < M.nb_lignes; i++)
    M.coeff[i] = (double *)calloc(M.nb_colonnes, sizeof(double));
  for (i = 0; i < M.nb_lignes; i++) {
    for (j = 0; j < M.nb_colonnes; j++) {
      M.coeff[i][j] = 0.;
    }
  }
  //printf(" creation de matrice ---->  nlignes %d ncolonnes %d  \n",
  //     M.nb_lignes,M.nb_colonnes) ;
  return (M);
}
matrice cree_mat(int n_lignes, int n_colonnes) {
  int i, j;
  matrice M; /* resultat de la creation */

  M.nb_lignes = n_lignes;
  M.nb_colonnes = n_colonnes;
  M.coeff = (double **)malloc(M.nb_lignes * sizeof(double *));
  for (i = 0; i < M.nb_lignes; i++)
    M.coeff[i] = (double *)calloc(M.nb_colonnes, sizeof(double));
  for (i = 0; i < M.nb_lignes; i++) {
    for (j = 0; j < M.nb_colonnes; j++) {
      M.coeff[i][j] = 0.;
    }
  }
  //printf(" creation de matrice --->  nlignes %d ncolonnes %d  \n",
  // M.nb_lignes,M.nb_colonnes) ;
  return (M);
}

void fill_mat(matrice A, matrice M) {
  int i, j;
  /* on remplit la matrice M avec la matrice A */

  M.nb_lignes = A.nb_lignes;
  M.nb_colonnes = A.nb_colonnes;
  for (i = 0; i < M.nb_lignes; i++) {
    for (j = 0; j < M.nb_colonnes; j++) {
      M.coeff[i][j] = A.coeff[i][j];
      printf("matrice remplie %e \n", M.coeff[i][j]);
    }
  }
  return;
}
void TFParams::print_mat(matrice M) {
  int i, j;
  if (M.coeff == nullptr) {
    printf(" erreur : affichage d'une matrice vide \n");
    return;
  }
  printf(" m_nli %d M_ncol %d \n", M.nb_lignes, M.nb_colonnes);
  for (i = 0; i < M.nb_lignes; i++) {
    for (j = 0; j < M.nb_colonnes; j++)
      printf(" MATRICE i= %d j= %d ---> %e \n", i, j, M.coeff[i][j]);
  }
  //printf(" apres passage d'impression \n") ;
  return;
}
void TFParams::zero_mat(matrice M) {
  int i, j;
  for (i = 0; i < M.nb_lignes; i++) {
    for (j = 0; j < M.nb_colonnes; j++)
      M.coeff[i][j] = 0.;
  }
  return;
}
void TFParams::zero_mat_nk(matrice M, int nk) {
  int j;
  for (j = 0; j < M.nb_colonnes; j++)
    M.coeff[nk][j] = 0.;
  return;
}
void TFParams::print_mat_nk(matrice M, int nk) {
  int j;
  if (M.coeff == nullptr) {
    printf(" erreur : affichage d'une matrice vide \n");
  } else {
    printf(" nk = %d m_nli %d M_ncol %d \n", nk, M.nb_lignes, M.nb_colonnes);
    for (j = 0; j < M.nb_colonnes; j++)
      printf(" MATRICE nk= %d j= %d  ---> %e \n", nk, j, M.coeff[nk][j]);
    printf(" apres passage d'impression \n");
  }
  return;
}
void TFParams::inverse_mat(matrice A, matrice M) {
  /*   A[ligne][colonne]   B[ligne][colonne]   */
  int i, j;
  double deter = 0.;
  /*  M est la matrice inverse de A */

  if (A.nb_lignes != A.nb_colonnes) {
    printf(" attention matrice non inversible !!!! %d lignes %d colonnes \n", A.nb_lignes, A.nb_colonnes);
    return;
  }
  zero_mat(M);
  if (A.nb_lignes == 2) {
    deter = A.coeff[0][0] * A.coeff[1][1] - A.coeff[0][1] * A.coeff[1][0];
    M.coeff[0][0] = A.coeff[1][1] / deter;
    M.coeff[0][1] = -A.coeff[0][1] / deter;
    M.coeff[1][0] = -A.coeff[1][0] / deter;
    M.coeff[1][1] = A.coeff[0][0] / deter;
  } else if (A.nb_lignes == 3) {
    M.coeff[0][0] = A.coeff[1][1] * A.coeff[2][2] - A.coeff[2][1] * A.coeff[1][2];
    M.coeff[1][1] = A.coeff[0][0] * A.coeff[2][2] - A.coeff[2][0] * A.coeff[0][2];

    M.coeff[2][2] = A.coeff[0][0] * A.coeff[1][1] - A.coeff[0][1] * A.coeff[1][0];
    M.coeff[0][1] = A.coeff[2][1] * A.coeff[0][2] - A.coeff[0][1] * A.coeff[2][2];
    M.coeff[0][2] = A.coeff[0][1] * A.coeff[1][2] - A.coeff[1][1] * A.coeff[0][2];
    M.coeff[1][0] = A.coeff[1][2] * A.coeff[2][0] - A.coeff[1][0] * A.coeff[2][2];
    M.coeff[1][2] = A.coeff[1][0] * A.coeff[0][2] - A.coeff[0][0] * A.coeff[1][2];
    M.coeff[2][0] = A.coeff[1][0] * A.coeff[2][1] - A.coeff[1][1] * A.coeff[2][0];
    M.coeff[2][1] = A.coeff[0][1] * A.coeff[2][0] - A.coeff[0][0] * A.coeff[2][1];
    deter = A.coeff[0][0] * M.coeff[0][0] + A.coeff[1][0] * M.coeff[0][1] + A.coeff[2][0] * M.coeff[0][2];
    for (i = 0; i < 3; i++) {
      for (j = 0; j < 3; j++)
        M.coeff[i][j] = M.coeff[i][j] / deter;
    }
  } else {
    printf(" Attention , on ne peut inverser la MATRICE %d \n", A.nb_lignes);
    return;
  }

  return;
}
Double_t TFParams::polfit(Int_t ns, Int_t imax, Double_t par3d[dimout], Double_t errpj[dimmat][dimmat], double *adcpj) {
  double val, val2, val3, adfmx[dimmat], parfp3[dimout];
  double ius[dimmat] = {0.}, maskp3[dimmat];
  double deglib, fit3, tm, h, xki2;
  int i, nus, ilow, isup;
  val = adcpj[imax];
  val2 = val / 2.;
  val3 = val / 3.;
  ilow = 0;
  isup = ns;
  deglib = -4.;
  for (i = 0; i < ns; i++) {
    deglib = deglib + 1.;
    ius[i] = 1.;
    if ((adcpj[i] < val3) && (i < imax)) {
      ilow = i;
    }
    if (adcpj[i] > val2) {
      isup = i;
    }
  }
  ilow = ilow + 1;
  if (ilow == imax)
    ilow = ilow - 1;
  if (isup - ilow < 3)
    isup = ilow + 3;
  nus = 0;
  for (i = ilow; i <= isup; i++) {
    adfmx[nus] = adcpj[i];
    maskp3[nus] = 0.;
    if (ius[i] == 1) {
      maskp3[nus] = 1.;
      nus = nus + 1;
    }
  }
  if (nus < 4)
    return 10000.;
  xki2 = f3deg(nus, parfp3, maskp3, adfmx, errpj);
  tm = parfp3[4];
  h = parfp3[5];
  tm = tm + (double)ilow;
  par3d[0] = h;
  par3d[1] = tm;
  fit3 = xki2;
  return fit3;
}
double TFParams::f3deg(
    int nmxu, double parom[dimout], double mask[dimmat], double adcpj[dimmat], double errpj[dimmat][dimmat]) {
  /*                                                                   */
  /*  fit   3rd degree polynomial                                      */
  /*  nmxu = nb of samples in sample data array adcpj[]
    parom   values of parameters
    errpj  inverse of the error matrix
    fplo3dg uses only the diagonal terms of errpj[][]
*/
  int i, k, l /*,iworst*/;
  double h, t2, tm, delta, tmp;
  double xki2, dif, difmx, deglib;
  double t[dimmat], f[dimmat][4];
  double cov[dimmat][dimmat], bv[4], invcov[dimmat][dimmat], s /*, deter*/;

  deglib = (double)nmxu - 4.;
  for (i = 0; i < nmxu; i++) {
    t[i] = i;
    f[i][0] = 1.;
    f[i][1] = t[i];
    f[i][2] = t[i] * t[i];
    f[i][3] = f[i][2] * t[i];
  }
  /*   computation of covariance matrix     */
  for (k = 0; k < 4; k++) {
    for (l = 0; l < 4; l++) {
      s = 0.;
      for (i = 0; i < nmxu; i++) {
        s = s + f[i][k] * f[i][l] * errpj[i][i] * mask[i];
      }
      cov[k][l] = s;
    }
    s = 0.;
    for (i = 0; i < nmxu; i++) {
      s = s + f[i][k] * adcpj[i] * errpj[i][i] * mask[i];
    }
    bv[k] = s;
  }
  /*     parameters                          */
  /*deter =*/inverpj(4, cov, invcov);
  for (k = 0; k < 4; k++) {
    s = 0.;
    for (l = 0; l < 4; l++) {
      s = s + bv[l] * invcov[l][k];
    }
    parom[k] = s;
  }

  if (parom[3] == 0.) {
    parom[4] = -1000.;
    parom[5] = -1000.;
    parom[6] = -1000.;
    return 1000000.;
  }
  /*    worst hit and ki2                    */
  xki2 = 0.;
  difmx = 0.;
  for (i = 0; i < nmxu; i++) {
    t2 = t[i] * t[i];
    h = parom[0] + parom[1] * t[i] + parom[2] * t2 + parom[3] * t2 * t[i];
    dif = (adcpj[i] - h) * mask[i];
    if (dif > difmx) {
      // iworst=i  ;
      difmx = dif;
    }
  }
  if (deglib > 0.5)
    xki2 = xki2 / deglib;
  /*     amplitude and maximum position                    */
  delta = parom[2] * parom[2] - 3. * parom[3] * parom[1];
  if (delta > 0.) {
    delta = sqrt(delta);
    tm = -(delta + parom[2]) / (3. * parom[3]);
    tmp = (delta - parom[2]) / (3. * parom[3]);
  } else {
    parom[4] = -1000.;
    parom[5] = -1000.;
    parom[6] = -1000.;
    return xki2;
  }
  parom[4] = tm;
  parom[5] = parom[0] + parom[1] * tm + parom[2] * tm * tm + parom[3] * tm * tm * tm;
  parom[6] = tmp;
  // printf("par --------> %f %f %f %f \n",parom[3],parom[2],parom[1],parom[0]);

  return xki2;
}
/*------------------------------------------------------------------*/

double TFParams::inverpj(int n, double g[dimmat][dimmat], double ginv[dimmat][dimmat]) {
  /*                                                                   */
  /*  inversion d une matrice symetrique definie positive de taille n  */
  /*  J.P. Pansart   Novembre 99                                       */
  /*                                                                   */
  int i, j, k, jj;
  double r, s;
  double deter = 0;
  double al[dimmat][dimmat], be[dimmat][dimmat];
  /*   initialisation                                                  */
  for (i = 0; i < n; i++) {
    for (j = 0; j < n; j++) {
      al[i][j] = 0.;
      be[i][j] = 0.;
    }
  }
  /*  decomposition en vecteurs sur une base orthonormee               */
  al[0][0] = sqrt(g[0][0]);
  for (i = 1; i < n; i++) {
    al[i][0] = g[0][i] / al[0][0];
    for (j = 1; j <= i; j++) {
      s = 0.;
      for (k = 0; k <= j - 1; k++) {
        s = s + al[i][k] * al[j][k];
      }
      r = g[i][j] - s;
      if (j < i)
        al[i][j] = r / al[j][j];
      if (j == i)
        al[i][j] = sqrt(r);
    }
  }
  /*  inversion de la matrice al                                       */
  be[0][0] = 1. / al[0][0];
  for (i = 1; i < n; i++) {
    be[i][i] = 1. / al[i][i];
    for (j = 0; j < i; j++) {
      jj = i - j - 1;
      s = 0.;
      for (k = jj + 1; k <= i; k++) {
        s = s + be[i][k] * al[k][jj];
      }
      be[i][jj] = -s / al[jj][jj];
    }
  }
  /*   calcul de la matrice ginv                                       */
  for (i = 0; i < n; i++) {
    for (j = 0; j < n; j++) {
      s = 0.;
      for (k = 0; k < n; k++) {
        s = s + be[k][i] * be[k][j];
      }
      ginv[i][j] = s;
      //    if (debug==1){
      //printf("valeur de la matrice %d %d %f \n",i,j,ginv[i][j]) ;
      //}
    }
  }
  return deter;
}
/*                                                                   */
/*  inversion d une matrice 3x3                                      */
/*                                                                   */
double TFParams::inv3x3(double a[3][3], double b[3][3]) {
  /*   a[ligne][colonne]   b[ligne][colonne]   */
  int i, j;
  double deter = 0.;
  b[0][0] = a[1][1] * a[2][2] - a[2][1] * a[1][2];
  b[1][1] = a[0][0] * a[2][2] - a[2][0] * a[0][2];
  b[2][2] = a[0][0] * a[1][1] - a[0][1] * a[1][0];
  printf("a[x][x] %e %e %e %e %e %e %e \n",
         a[0][0],
         a[1][1],
         a[0][1],
         a[1][0],
         a[0][0] * a[1][1],
         a[0][1] * a[1][0],
         b[2][2]);
  b[0][1] = a[2][1] * a[0][2] - a[0][1] * a[2][2];
  b[0][2] = a[0][1] * a[1][2] - a[1][1] * a[0][2];
  b[1][0] = a[1][2] * a[2][0] - a[1][0] * a[2][2];
  b[1][2] = a[1][0] * a[0][2] - a[0][0] * a[1][2];
  b[2][0] = a[1][0] * a[2][1] - a[1][1] * a[2][0];
  b[2][1] = a[0][1] * a[2][0] - a[0][0] * a[2][1];
  deter = a[0][0] * b[0][0] + a[1][0] * b[0][1] + a[2][0] * b[0][2];
  printf(" deter = %e \n", deter);
  for (i = 0; i < 3; i++) {
    for (j = 0; j < 3; j++) {
      printf(" avant division a[3][3] %d %d  %e \n", i, j, a[i][j]);
      printf(" avant division b[3][3] %d %d  %e %e \n", i, j, b[i][j], deter);
      b[i][j] = b[i][j] / deter;
      printf(" valeur de b[3][3] apres division %d %d  %e %e \n", i, j, b[i][j], deter);
    }
  }
  return deter;
}

double TFParams::pulseShapepj(Double_t *x, Double_t *par) {
  Double_t fitfun;
  Double_t ped, h, tm, alpha, beta;
  Double_t dt, dtsbeta, albet, variab, puiss;
  Double_t b1, b2, a1, a2;
  b1 = par[0];
  b2 = par[1];
  a1 = par[2];
  a2 = par[3];

  ped = 0.;
  h = b1;
  tm = b2;
  alpha = a1;
  beta = a2;
  dt = x[0] - tm;
  //printf(" par %f %f %f %f dt = %f albet = %f",b1,b2,a1,a2,dt,albet) ;
  albet = alpha * beta;
  if (albet <= 0)
    return ((Double_t)0.);

  if (dt > -albet) {
    dtsbeta = dt / beta;
    variab = 1. + dt / albet;
    puiss = pow(variab, alpha);
    fitfun = h * puiss * exp(-dtsbeta) + ped;
    //printf(" dt = %f h = %f puiss = %f exp(-dtsbeta) %f \n",dt,h,puiss,
    // exp(-dtsbeta)) ;
  } else {
    fitfun = ped;
  }

  return fitfun;
}

double TFParams::lastShape(Double_t *x, Double_t *par) {
  Double_t fitfun;
  Double_t alpha, beta;
  Double_t dt, alphadt, exponent;
  Double_t b1, b2;
  b1 = par[0];
  b2 = par[1];
  alpha = par[2];
  beta = par[3];
  dt = x[0] - b2;
  alphadt = alpha * dt;
  exponent = -(alphadt + (exp(-alphadt) - 1.)) / beta;
  fitfun = b1 * exp(exponent);
  return fitfun;
}
double TFParams::lastShape2(Double_t *x, Double_t *par) {
  Double_t fitfun;
  Double_t alpha, beta;
  Double_t dt, expo1, dt2, exponent;
  Double_t b1, b2;
  b1 = par[0];
  b2 = par[1];
  alpha = par[2];
  beta = par[3];
  dt = x[0] - b2;
  expo1 = exp(-beta * dt);
  dt2 = dt * dt;
  exponent = -(alpha * dt2 + (expo1 - 1.));
  fitfun = b1 * exp(exponent);
  return fitfun;
}

Double_t TFParams::pulseShapepj2(Double_t *x, Double_t *par) {
  Double_t fitfun;
  Double_t ped, h, /*tm,*/ alpha, beta;
  Double_t dt, dtsbeta, albet, variab, puiss;
  Double_t b1, /*b2,*/ a1, a2;
  b1 = par[0];
  //b2 = par[1] ;
  a1 = par[2];
  a2 = par[3];
  ped = 0.;
  h = b1;
  //tm    =  b2 ;
  alpha = a1;
  beta = a2;
  dt = x[0];
  albet = alpha * beta;
  if (albet <= 0)
    return ((Double_t)0.);

  if (dt > -albet) {
    dtsbeta = dt / beta;
    variab = 1. + dt / albet;
    puiss = pow(variab, alpha);
    fitfun = h * puiss * exp(-dtsbeta) + ped;
  } else {
    fitfun = ped;
  }

  /*  printf( "fitfun %f %f %f %f, %f %f %f\n", ped, h, tm, alpha, beta, *x, fitfun );  */

  return fitfun;
}

double TFParams::parab(Double_t ampl[nsamp], Int_t nmin, Int_t nmax, Double_t parout[3]) {
  /* Now we calculate the parabolic adjustement in order to get        */
  /*    maximum and time max                                           */

  double denom, dt, amp1, amp2, amp3;
  double ampmax = 0.;
  int imax = 0;
  int k;
  /*
                                                                   */
  for (k = nmin; k < nmax; k++) {
    if (ampl[k] > ampmax) {
      ampmax = ampl[k];
      imax = k;
    }
  }
  amp1 = ampl[imax - 1];
  amp2 = ampl[imax];
  amp3 = ampl[imax + 1];
  denom = 2. * amp2 - amp1 - amp3;
  /*                                         */
  if (denom > 0.) {
    dt = 0.5 * (amp3 - amp1) / denom;
  } else {
    //printf("denom =%f\n",denom)  ;
    dt = 0.5;
  }
  /*                                             */
  /* ampmax correspond au maximum d'amplitude parabolique et dt        */
  /* decalage en temps par rapport au sample maximum soit k + dt       */

  parout[0] = amp2 + (amp3 - amp1) * dt * 0.25;
  parout[1] = (double)imax + dt;
  parout[2] = (double)imax;
  return denom;
}

double TFParams::mixShape(Double_t *x, Double_t *par) {
  Double_t fitval0, fitval;
  Double_t alpha, beta, fact, puiss;
  Double_t dt, alpha2dt, exponent;
  Double_t b1, b2, alpha2, t;
  b1 = par[0];
  b2 = par[1];
  alpha = par[2];
  alpha2 = par[3];
  beta = par[4];
  //
  t = x[0];
  dt = x[0] - b2;
  //
  if (t > 0.) {
    fact = t / b2;
    puiss = pow(fact, alpha);
    fitval0 = puiss * exp(-alpha * dt / b2);
  } else {
    fitval0 = 1.;
  }
  dt = x[0] - b2;
  alpha2dt = dt * alpha2;
  exponent = -(alpha2dt + (exp(-alpha2dt) - 1.)) / beta;
  fitval = b1 * fitval0 * exp(exponent);
  return fitval;
}
//=========================
// Method computePulseWidth
//=========================
double TFParams::computePulseWidth(int methode, double alpha_here, double beta_here) {
  // level of amplitude where we calculate the width ( level = 0.5 if at 50 % )
  //   (level = 0.3 if at 30 % )
  double level = 0.30;
  // fixed parameters
  double amplitude = 1.00;
  double offset = 7.00;
  double amp_max = amplitude;

  // steps in time
  double t_min = offset - 4.50;
  double t_max = offset + 12.50;

  int t_step_max = 3000;
  double delta_t = (double)((t_max - t_min) / t_step_max);

  // Loop over time ( Loop 2  --> get width )
  int t_amp_half_flag = 0;
  double t_amp_half_min = 999.;
  double t_amp_half_max = -999.;

  for (int t_step = 0; t_step < t_step_max; t_step++) {
    double t_val = t_min + (double)t_step * delta_t;
    double albet = alpha_here * beta_here;
    double dt = t_val - offset;
    double amp = 0;

    if (methode == 2) {  // electronic function
      if ((t_val - offset) > -albet) {
        amp = amplitude * TMath::Power((1 + (dt / (alpha_here * beta_here))), alpha_here) *
              TMath::Exp(-1.0 * (dt / beta_here));
      } else {
        amp = 1.;
      }
    }

    if (amp > (amp_max * level) && t_amp_half_flag == 0) {
      t_amp_half_flag = 1;
      t_amp_half_min = t_val;
    }

    if (amp < (amp_max * level) && t_amp_half_flag == 1) {
      t_amp_half_flag = 2;
      t_amp_half_max = t_val;
    }
  }

  // Compute Width
  double width = (t_amp_half_max - t_amp_half_min);

  return width;
}