Ignore:
Timestamp:
10/07/04 15:50:03 (20 years ago)
Author:
gaug
Message:
*** empty log message ***
File:
1 edited

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  • trunk/MagicSoft/Mars/mcalib/MCalibrationChargePix.cc

    r5199 r5200  
    413413Float_t MCalibrationChargePix::GetConvertedRSigma()  const
    414414{
    415 
    416   Float_t rsigma = 0.;
    417   if (IsHiGainSaturation())
    418     rsigma = TMath::Sqrt(fLoGainRSigmaSquare)*fConversionHiLo;
    419   else
    420     rsigma = TMath::Sqrt(fHiGainRSigmaSquare);
    421 
    422   if (rsigma < 0)
     415  if (fRSigmaSquare < 0)
    423416    return -1;
    424417
    425   return rsigma ;
     418  const Float_t rsigma = TMath::Sqrt(fRSigmaSquare);
     419 
     420  return IsHiGainSaturation() ? rsigma*fConversionHiLo : rsigma ;
    426421}
    427422
    … …  
    440435{
    441436
    442   Float_t rsigmavar = 0.;
     437  if (fRSigmaSquareVar < 0)
     438    return -1;
     439
    443440  //
    444441  // SigmaSquareVar = 4. * Sigma * Sigma * Var(sigma)
    445442  // ==> Var(sigma) = 0.25 * SigmaSquareVar / (Sigma * Sigma)
    446443  //
     444  const Float_t rsigmaVar = 0.25 * fRSigmaSquareVar / fRSigmaSquare;
     445
    447446  if (IsHiGainSaturation())
    448     rsigmavar = 0.25 * fLoGainRSigmaSquareVar / fLoGainRSigmaSquare;
    449   else
    450     rsigmavar = 0.25 * fHiGainRSigmaSquareVar / fHiGainRSigmaSquare;
    451 
    452   if (rsigmavar < 0)
     447    return TMath::Sqrt(rsigmaVar/fRSigmaSquare + GetConversionHiLoRelVar()) * GetRSigma();
     448  else
     449    return TMath::Sqrt(rsigmaVar);
     450
     451}
     452
     453// --------------------------------------------------------------------------
     454//
     455// Get the reduced Sigma:
     456// - If fRSigmaSquare is smaller than 0 (i.e. has not yet been set), return -1.
     457//
     458Float_t MCalibrationChargePix::GetRSigma()  const
     459{
     460  if (fRSigmaSquare < 0)
    453461    return -1;
    454462
    455   if (IsHiGainSaturation())
    456     return TMath::Sqrt(rsigmavar/fLoGainRSigmaSquare + GetConversionHiLoRelVar()) * GetLoGainRSigma();
    457   else
    458     return TMath::Sqrt(rsigmavar);
    459 
    460 }
    461 
    462  
     463  return TMath::Sqrt(fRSigmaSquare);
     464 
     465}
     466
     467// --------------------------------------------------------------------------
     468//
     469// Get the error of the reduced Sigma:
     470// - If fRSigmaSquareVar is smaller than 0 (i.e. has not yet been set), return -1.
     471// - Calculate the absolute variance of the reduced sigma with the formula:
     472//   reduced sigma variance = 0.25 * fRSigmaSquareVar / fRSigmaSquare
     473//
     474Float_t MCalibrationChargePix::GetRSigmaErr()  const
     475{
     476
     477  if (fRSigmaSquareVar < 0)
     478    return -1;
     479
     480  //
     481  // SigmaSquareVar = 4. * Sigma * Sigma * Var(sigma)
     482  // ==> Var(sigma) = 0.25 * SigmaSquareVar / (Sigma * Sigma)
     483  //
     484  return TMath::Sqrt(0.25 * fRSigmaSquareVar / fRSigmaSquare);
     485
     486}
     487
     488// --------------------------------------------------------------------------
     489//
     490// Get the reduced Sigma per Charge:
     491// - If GetRSigma() is smaller or equal 0. (i.e. has not yet been set), return -1.
     492// - If GetMean() is 0. or -1. (i.e. has not yet been set), return -1.
     493// - Return GetRSigma() / GetMean()
     494//
     495Float_t MCalibrationChargePix::GetRSigmaPerCharge()  const
     496{
     497 
     498  const Float_t rsigma = GetRSigma();
     499
     500  if (rsigma <= 0)
     501    return -1.;
     502 
     503
     504  const Float_t mean   = GetMean();
     505 
     506  if (mean == 0. || mean == -1.)
     507    return -1.;
     508 
     509  return rsigma / mean;
     510}
     511
     512
     513// --------------------------------------------------------------------------
     514//
     515// Get the error of the reduced Sigma per Charge:
     516// - If GetRSigmaRelVar() is smaller or equal 0. (i.e. has not yet been set), return -1.
     517// - If GetMeanRelVar() is smaller or equal 0. (i.e. has not yet been set), return -1.
     518// - Return the propagated error of GetRSigmaPerCharge()
     519//
     520Float_t MCalibrationChargePix::GetRSigmaPerChargeErr()  const
     521{
     522 
     523  const Float_t rsigmarelvar  = GetRSigmaRelVar();
     524
     525  if (rsigmarelvar <= 0)
     526    return -1.;
     527 
     528
     529  const Float_t meanrelvar   = GetMeanRelVar();
     530 
     531  if (meanrelvar <= 0.)
     532    return -1.;
     533 
     534  return TMath::Sqrt(rsigmarelvar + meanrelvar) * GetRSigmaPerCharge();
     535}
     536
    463537// --------------------------------------------------------------------------
    464538//
    465539// Get the reduced Sigma Square:
    466 // - If fLoGainRSigmaSquare is smaller than 0 (i.e. has not yet been set), return -1.
     540// - If fRSigmaSquare is smaller than 0 (i.e. has not yet been set), return -1.
    467541// - Test bit kHiGainSaturation:
    468542//   If yes, return fRSigmaSquare, multiplied with fConversionHiLo^2,
    … …  
    471545Float_t MCalibrationChargePix::GetConvertedRSigmaSquare()  const
    472546{
    473  
    474   Float_t rsigmasquare = 0.;
    475   if (IsHiGainSaturation())
    476     rsigmasquare = fLoGainRSigmaSquare*fConversionHiLo*fConversionHiLo;
    477   else
    478     rsigmasquare = fHiGainRSigmaSquare;
    479 
    480   if (rsigmasquare < 0)
     547  if (fRSigmaSquare < 0)
    481548    return -1;
    482549
    483   return rsigmasquare ;
     550  return IsHiGainSaturation() ? fRSigmaSquare*fConversionHiLo*fConversionHiLo : fRSigmaSquare ;
    484551}
    485552
    … …  
    494561//   Else returns the relative variance of the reduced sigma
    495562//
    496 Float_t MCalibrationChargePix::GetHiGainRSigmaRelVar()  const
    497 {
    498 
    499   if (fHiGainRSigmaSquareVar < 0)
     563Float_t MCalibrationChargePix::GetRSigmaRelVar()  const
     564{
     565
     566  if (fRSigmaSquareVar < 0)
    500567    return -1;
    501568
    … …  
    504571  // ==> Var(sigma) = 0.25 * SigmaSquareVar / (Sigma * Sigma)
    505572  //
    506   return 0.25 * fHiGainRSigmaSquareVar / ( fHiGainRSigmaSquare * fHiGainRSigmaSquare );
    507 
    508 }
    509 
    510 // --------------------------------------------------------------------------
    511 //
    512 // Get the relative variance of the reduced Sigma:
    513 // - If fRSigmaSquareVar is smaller than 0 (i.e. has not yet been set), return -1.
    514 // - Calculate the relative variance of the reduced sigma squares with the formula:
    515 //   reduced sigma rel. variance = 0.25 * fRSigmaSquareVar / fRSigmaSquare / fRSigmaSquare
    516 // - Test bit kHiGainSaturation:
    517 //   If yes, returns the sum of the relative variances of the reduced sigma and fConversionHiLo
    518 //   Else returns the relative variance of the reduced sigma
    519 //
    520 Float_t MCalibrationChargePix::GetLoGainRSigmaRelVar()  const
    521 {
    522 
    523   if (fLoGainRSigmaSquareVar < 0)
    524     return -1;
    525 
    526   //
    527   // SigmaSquareVar = 4. * Sigma * Sigma * Var(sigma)
    528   // ==> Var(sigma) = 0.25 * SigmaSquareVar / (Sigma * Sigma)
    529   //
    530   return 0.25 * fLoGainRSigmaSquareVar / ( fLoGainRSigmaSquare * fLoGainRSigmaSquare );
    531 
    532 }
    533 
    534 // --------------------------------------------------------------------------
    535 //
    536 // Get the reduced Sigma:
    537 // - If fHiGainRSigmaSquare is smaller than 0 (i.e. has not yet been set), return -1.
    538 //
    539 Float_t MCalibrationChargePix::GetHiGainRSigma()  const
    540 {
    541   if (fHiGainRSigmaSquare < 0)
    542     return -1;
    543 
    544   return TMath::Sqrt(fHiGainRSigmaSquare);
    545  
    546 }
    547 
    548 // --------------------------------------------------------------------------
    549 //
    550 // Get the error of the reduced Sigma:
    551 // - If fHiGainRSigmaSquareVar is smaller than 0 (i.e. has not yet been set), return -1.
    552 // - Calculate the absolute variance of the reduced sigma with the formula:
    553 //   reduced sigma variance = 0.25 * fHiGainRSigmaSquareVar / fHiGainRSigmaSquare
    554 //
    555 Float_t MCalibrationChargePix::GetHiGainRSigmaErr()  const
    556 {
    557 
    558   if (fHiGainRSigmaSquareVar < 0)
    559     return -1;
    560 
    561   //
    562   // SigmaSquareVar = 4. * Sigma * Sigma * Var(sigma)
    563   // ==> Var(sigma) = 0.25 * SigmaSquareVar / (Sigma * Sigma)
    564   //
    565   return TMath::Sqrt(0.25 * fHiGainRSigmaSquareVar / fHiGainRSigmaSquare);
    566 
    567 }
    568 
    569 // --------------------------------------------------------------------------
    570 //
    571 // Get the reduced Sigma per Charge:
    572 // - If GetHiGainRSigma() is smaller or equal 0. (i.e. has not yet been set), return -1.
    573 // - If GetMean() is 0. or -1. (i.e. has not yet been set), return -1.
    574 // - Return GetHiGainRSigma() / GetMean()
    575 //
    576 Float_t MCalibrationChargePix::GetHiGainRSigmaPerCharge()  const
    577 {
    578  
    579   const Float_t rsigma = GetHiGainRSigma();
    580 
    581   if (rsigma <= 0)
    582     return -1.;
    583  
    584 
    585   const Float_t mean   = GetHiGainMean();
    586  
    587   if (mean == 0. || mean == -1.)
    588     return -1.;
    589  
    590   return rsigma / mean;
    591 }
    592 
    593 
    594 // --------------------------------------------------------------------------
    595 //
    596 // Get the error of the reduced Sigma per Charge:
    597 // - If GetHiGainRSigmaRelVar() is smaller or equal 0. (i.e. has not yet been set), return -1.
    598 // - If GetMeanRelVar() is smaller or equal 0. (i.e. has not yet been set), return -1.
    599 // - Return the propagated error of GetHiGainRSigmaPerCharge()
    600 //
    601 Float_t MCalibrationChargePix::GetHiGainRSigmaPerChargeErr()  const
    602 {
    603  
    604   const Float_t rsigmarelvar  = GetHiGainRSigmaRelVar();
    605 
    606   if (rsigmarelvar <= 0)
    607     return -1.;
    608  
    609   const Float_t meanrelvar    = GetHiGainMeanRelVar();
    610  
    611   if (meanrelvar <= 0.)
    612     return -1.;
    613  
    614   return TMath::Sqrt(rsigmarelvar + meanrelvar) * GetHiGainRSigmaPerCharge();
    615 }
    616 
    617 // --------------------------------------------------------------------------
    618 //
    619 // Get the reduced Sigma:
    620 // - If fLoGainRSigmaSquare is smaller than 0 (i.e. has not yet been set), return -1.
    621 //
    622 Float_t MCalibrationChargePix::GetLoGainRSigma()  const
    623 {
    624   if (fLoGainRSigmaSquare < 0)
    625     return -1;
    626 
    627   return TMath::Sqrt(fLoGainRSigmaSquare);
    628  
    629 }
    630 
    631 // --------------------------------------------------------------------------
    632 //
    633 // Get the error of the reduced Sigma:
    634 // - If fLoGainRSigmaSquareVar is smaller than 0 (i.e. has not yet been set), return -1.
    635 // - Calculate the absolute variance of the reduced sigma with the formula:
    636 //   reduced sigma variance = 0.25 * fLoGainRSigmaSquareVar / fLoGainRSigmaSquare
    637 //
    638 Float_t MCalibrationChargePix::GetLoGainRSigmaErr()  const
    639 {
    640 
    641   if (fLoGainRSigmaSquareVar < 0)
    642     return -1;
    643 
    644   //
    645   // SigmaSquareVar = 4. * Sigma * Sigma * Var(sigma)
    646   // ==> Var(sigma) = 0.25 * SigmaSquareVar / (Sigma * Sigma)
    647   //
    648   return TMath::Sqrt(0.25 * fLoGainRSigmaSquareVar / fLoGainRSigmaSquare);
    649 
    650 }
    651 
    652 // --------------------------------------------------------------------------
    653 //
    654 // Get the reduced Sigma per Charge:
    655 // - If GetLoGainRSigma() is smaller or equal 0. (i.e. has not yet been set), return -1.
    656 // - If GetMean() is 0. or -1. (i.e. has not yet been set), return -1.
    657 // - Return GetLoGainRSigma() / GetMean()
    658 //
    659 Float_t MCalibrationChargePix::GetLoGainRSigmaPerCharge()  const
    660 {
    661  
    662   const Float_t rsigma = GetLoGainRSigma();
    663 
    664   if (rsigma <= 0)
    665     return -1.;
    666  
    667 
    668   const Float_t mean   = GetLoGainMean();
    669  
    670   if (mean == 0. || mean == -1.)
    671     return -1.;
    672  
    673   return rsigma / mean;
    674 }
    675 
    676 
    677 // --------------------------------------------------------------------------
    678 //
    679 // Get the error of the reduced Sigma per Charge:
    680 // - If GetLoGainRSigmaRelVar() is smaller or equal 0. (i.e. has not yet been set), return -1.
    681 // - If GetMeanRelVar() is smaller or equal 0. (i.e. has not yet been set), return -1.
    682 // - Return the propagated error of GetLoGainRSigmaPerCharge()
    683 //
    684 Float_t MCalibrationChargePix::GetLoGainRSigmaPerChargeErr()  const
    685 {
    686  
    687   const Float_t rsigmarelvar  = GetLoGainRSigmaRelVar();
    688 
    689   if (rsigmarelvar <= 0)
    690     return -1.;
    691 
    692   const Float_t meanrelvar    = GetLoGainMeanRelVar();
    693  
    694   if (meanrelvar <= 0.)
    695     return -1.;
    696  
    697   return TMath::Sqrt(rsigmarelvar + meanrelvar) * GetLoGainRSigmaPerCharge();
    698 }
     573  return 0.25 * fRSigmaSquareVar / ( fRSigmaSquare * fRSigmaSquare );
     574
     575}
    699576
    700577// --------------------------------------------------------------------------
    … …  
    704581// - Else returns the square root of fPheFFactorMethodVar
    705582//
    706 Float_t MCalibrationChargePix::GetHiGainPheFFactorMethodErr()  const
    707 {
    708   if (fHiGainPheFFactorMethodVar < 0.)
    709     return -1.;
    710   return TMath::Sqrt(fHiGainPheFFactorMethodVar);
    711 }
    712 
    713 // --------------------------------------------------------------------------
    714 //
    715 // Get the error on the number of photo-electrons (F-Factor Method):
    716 // - If fPheFFactorMethodVar is smaller than 0 (i.e. has not yet been set), return -1.
    717 // - Else returns the square root of fPheFFactorMethodVar
    718 //
    719 Float_t MCalibrationChargePix::GetLoGainPheFFactorMethodErr()  const
    720 {
    721   if (fLoGainPheFFactorMethodVar < 0.)
    722     return -1.;
    723   return TMath::Sqrt(fLoGainPheFFactorMethodVar);
     583Float_t MCalibrationChargePix::GetPheFFactorMethodErr()  const
     584{
     585  if (fPheFFactorMethodVar < 0.)
     586    return -1.;
     587  return TMath::Sqrt(fPheFFactorMethodVar);
    724588}
    725589
    … …  
    744608// - Else returns fPheFFactorMethodVar / fPheFFactorMethod^2
    745609//
    746 Float_t MCalibrationChargePix::GetHiGainPheFFactorMethodRelVar()  const
    747 {
    748   if (fHiGainPheFFactorMethodVar < 0.)
    749     return -1.;
    750   if (fHiGainPheFFactorMethod  == 0.)
    751     return -1.;
    752 
    753   return fHiGainPheFFactorMethodVar / (fHiGainPheFFactorMethod * fHiGainPheFFactorMethod);
    754 }
    755 
    756 // --------------------------------------------------------------------------
    757 //
    758 // Get the relative variance on the number of photo-electrons (F-Factor Method):
    759 // - If fPheFFactorMethodVar is smaller than 0 (i.e. has not yet been set), return -1.
    760 // - If fPheFFactorMethod    is 0, return -1.
    761 // - Else returns fPheFFactorMethodVar / fPheFFactorMethod^2
    762 //
    763 Float_t MCalibrationChargePix::GetLoGainPheFFactorMethodRelVar()  const
    764 {
    765   if (fLoGainPheFFactorMethodVar < 0.)
    766     return -1.;
    767   if (fLoGainPheFFactorMethod  == 0.)
    768     return -1.;
    769 
    770   return fLoGainPheFFactorMethodVar / (fLoGainPheFFactorMethod * fLoGainPheFFactorMethod);
     610Float_t MCalibrationChargePix::GetPheFFactorMethodRelVar()  const
     611{
     612  if (fPheFFactorMethodVar < 0.)
     613    return -1.;
     614  if (fPheFFactorMethod  == 0.)
     615    return -1.;
     616
     617  return fPheFFactorMethodVar / (fPheFFactorMethod * fPheFFactorMethod);
    771618}
    772619
    … …  
    820667// in GetRSigma() and GetRSigmaErr()
    821668//
    822 Bool_t MCalibrationChargePix::CalcHiGainReducedSigma()
    823 {
    824 
    825   if (GetHiGainSigma() < 0.)
     669Bool_t MCalibrationChargePix::CalcReducedSigma()
     670{
     671
     672  if (GetSigma() < 0.)
    826673    return kFALSE;
    827674 
    … …  
    829676    return kFALSE;
    830677
    831   const Float_t sigma           = fHiGainSigma   ;
    832   const Float_t sigmavar        = fHiGainSigmaVar;
    833   const Float_t pedRmsSquare    = fPedRms*fPedRms;
    834   const Float_t pedRmsSquareVar = 0.25*fPedVar*pedRmsSquare;
     678  const Float_t sigma           = IsHiGainSaturation() ? fLoGainSigma           : fHiGainSigma   ;
     679  const Float_t sigmavar        = IsHiGainSaturation() ? fLoGainSigmaVar        : fHiGainSigmaVar;
     680  const Float_t pedRmsSquare    = IsHiGainSaturation() ? fLoGainPedRmsSquare    : fPedRms*fPedRms;
     681  const Float_t pedRmsSquareVar = IsHiGainSaturation() ? fLoGainPedRmsSquareVar : 0.25*fPedVar*pedRmsSquare;
    835682
    836683  if (IsDebug())
    … …  
    851698  // Calculate the reduced sigmas
    852699  //
    853   fHiGainRSigmaSquare = sigmaSquare - pedRmsSquare;
    854 
    855   if (IsDebug())
    856     {
    857       *fLog << dbginf << "ID: " << GetPixId()
    858             << " Red.Sigma Square: " << fHiGainRSigmaSquare
    859             << endl;
    860     }
    861  
    862   if (fHiGainRSigmaSquare <= 0.)
     700  fRSigmaSquare = sigmaSquare - pedRmsSquare;
     701
     702  if (IsDebug())
     703    {
     704      *fLog << dbginf << "ID: " << GetPixId()
     705            << " Red.Sigma Square: " << fRSigmaSquare
     706            << endl;
     707    }
     708 
     709  if (fRSigmaSquare <= 0.)
    863710    {
    864711      if (IsDebug())
    … …  
    870717
    871718 
    872   fHiGainRSigmaSquareVar = 4. * (sigmaSquareVar + pedRmsSquareVar);
    873 
    874   if (IsDebug())
    875     {
    876       *fLog << dbginf << "ID: " << GetPixId()
    877             << " Var.Red.Sigma Square: " << fHiGainRSigmaSquareVar
    878             << endl;
    879     }
    880 
    881   return kTRUE;
    882 }
    883 
    884 // ----------------------------------------------------------------------------
    885 //
    886 // - If fSigma  is smaller than 0 (i.e. has not yet been set), return kFALSE
    887 // - If fPedRms is smaller than 0 (i.e. has not yet been set), return kFALSE
    888 //
    889 // Calculate the reduced sigma of the low-Gain FADC slices:
    890 // - Test bit IsHiGainSaturation() for the Sigma:
    891 //   If yes, take fLoGainSigma and fLoGainSigmaVar
    892 //   If no , take fHiGainSigma and fHiGainSigmaVar
    893 //
    894 // - Test bit IsHiGainSaturation() for the pedRMS:
    895 //   If yes, take fLoGainPedRmsSquare and fLoGainPedRmsSquareVar
    896 //   If no , take fPedRms and fPedVar
    897 //
    898 // - Calculate the reduced sigma with the formula:
    899 //   fRSigmaSquare = Sigma*Sigma - pedRMS*pedRMS
    900 //
    901 // - If fRSigmaSquare is smaller than 0, give a warning and return kFALSE
    902 //
    903 // - Calculate the variance of the reduced sigma with the formula:
    904 //   fRSigmaSquareVar = 4.* (sigmaVar*Sigma*Sigma + pedRmsVar*pedRMS*pedRMS)
    905 //
    906 // A back-transformation to the corr. amplification factor of the High-Gain is done
    907 // in GetRSigma() and GetRSigmaErr()
    908 //
    909 Bool_t MCalibrationChargePix::CalcLoGainReducedSigma()
    910 {
    911 
    912   if (GetLoGainSigma() < 0.)
    913     return kFALSE;
    914  
    915   if (fLoGainPedRmsSquare < 0.)
    916     return kFALSE;
    917 
    918   const Float_t sigma           = fLoGainSigma           ;
    919   const Float_t sigmavar        = fLoGainSigmaVar        ;
    920   const Float_t pedRmsSquare    = fLoGainPedRmsSquare    ;
    921   const Float_t pedRmsSquareVar = fLoGainPedRmsSquareVar ;
    922 
    923   if (IsDebug())
    924     {
    925       *fLog << dbginf << "ID: " << GetPixId()
    926             << " HiGainSaturation: " << IsHiGainSaturation()
    927             << " Sigma: " << sigma
    928             << " Var.Sigma: " << sigmavar
    929             << " PedRmsSquare: " << pedRmsSquare
    930             << " pedRmsSquareVar: " << pedRmsSquareVar
    931             << endl;
    932     }
    933  
    934   const Float_t sigmaSquare    =      sigma     * sigma;
    935   const Float_t sigmaSquareVar = 4. * sigmavar  * sigmaSquare;
    936 
    937   //
    938   // Calculate the reduced sigmas
    939   //
    940   fLoGainRSigmaSquare = sigmaSquare - pedRmsSquare;
    941 
    942   if (IsDebug())
    943     {
    944       *fLog << dbginf << "ID: " << GetPixId()
    945             << " Red.Sigma Square: " << fLoGainRSigmaSquare
    946             << endl;
    947     }
    948  
    949   if (fLoGainRSigmaSquare <= 0.)
    950     {
    951       if (IsDebug())
    952         *fLog << warn
    953               << "WARNING: Cannot calculate the reduced sigma: smaller than 0 in pixel "
    954               << fPixId << endl;
    955       return kFALSE;
    956     }
    957 
    958  
    959   fLoGainRSigmaSquareVar = 4. * (sigmaSquareVar + pedRmsSquareVar);
    960 
    961   if (IsDebug())
    962     {
    963       *fLog << dbginf << "ID: " << GetPixId()
    964             << " Var.Red.Sigma Square: " << fLoGainRSigmaSquareVar
     719  fRSigmaSquareVar = 4. * (sigmaSquareVar + pedRmsSquareVar);
     720
     721  if (IsDebug())
     722    {
     723      *fLog << dbginf << "ID: " << GetPixId()
     724            << " Var.Red.Sigma Square: " << fRSigmaSquareVar
    965725            << endl;
    966726    }
    … …  
    995755//   set kFFactorMethodValid to kFALSE and return kFALSE
    996756//
    997 Bool_t MCalibrationChargePix::CalcHiGainFFactor()
    998 {
    999 
    1000   if (fHiGainRSigmaSquare < 0.)
     757Bool_t MCalibrationChargePix::CalcFFactor()
     758{
     759
     760  if (fRSigmaSquare < 0.)
    1001761    return kFALSE;
    1002762 
    … …  
    1004764  // Square all variables in order to avoid applications of square root
    1005765  //
    1006   const Float_t meanSquare          =     GetHiGainMean()    * GetHiGainMean();
    1007   const Float_t meanSquareRelVar    = 4.* GetHiGainMeanRelVar();
     766  const Float_t meanSquare          =     GetMean()    * GetMean();
     767  const Float_t meanSquareRelVar    = 4.* GetMeanRelVar();
    1008768
    1009769  const Float_t ffactorsquare       =     gkFFactor    * gkFFactor;
    1010770  const Float_t ffactorsquareRelVar = 4.* GetFFactorRelVar();
    1011771
    1012   const Float_t rsigmaSquareRelVar  =     fHiGainRSigmaSquareVar / fHiGainRSigmaSquare / fHiGainRSigmaSquare;
     772  const Float_t rsigmaSquareRelVar  =     fRSigmaSquareVar / fRSigmaSquare / fRSigmaSquare;
    1013773  //
    1014774  // Calculate the number of phe's from the F-Factor method
    1015775  // (independent on Hi Gain or Lo Gain)
    1016776  //
    1017   fHiGainPheFFactorMethod = ffactorsquare * meanSquare / fHiGainRSigmaSquare;
     777  fPheFFactorMethod = ffactorsquare * meanSquare / fRSigmaSquare;
    1018778
    1019779  if (IsDebug())
    … …  
    1022782            << " F-Factor Square: " << ffactorsquare
    1023783            << " Mean Square: " << meanSquare
    1024             << " Red.Sigma Square: " << fHiGainRSigmaSquare
    1025             << " Photo-electrons: " << fHiGainPheFFactorMethod
    1026             << endl;
    1027     }
    1028 
    1029   if (fHiGainPheFFactorMethod < fPheFFactorMethodLimit)
     784            << " Red.Sigma Square: " << fRSigmaSquare
     785            << " Photo-electrons: " << fPheFFactorMethod
     786            << endl;
     787    }
     788
     789  if (fPheFFactorMethod < fPheFFactorMethodLimit)
    1030790    return kFALSE;
    1031791 
    … …  
    1033793  // Calculate the Error of Nphe
    1034794  //
    1035   const Float_t pheRelVar     = ffactorsquareRelVar + meanSquareRelVar + rsigmaSquareRelVar;
    1036   fHiGainPheFFactorMethodVar  = pheRelVar * fHiGainPheFFactorMethod * fHiGainPheFFactorMethod;
     795  const Float_t pheRelVar = ffactorsquareRelVar + meanSquareRelVar + rsigmaSquareRelVar;
     796  fPheFFactorMethodVar    = pheRelVar * fPheFFactorMethod * fPheFFactorMethod;
    1037797
    1038798  if (IsDebug())
    … …  
    1046806    }
    1047807
    1048   if (fHiGainPheFFactorMethodVar < 0. )
    1049     return kFALSE;
    1050 
    1051   return kTRUE;
    1052 }
    1053 
    1054 // ------------------------------------------------------------------
    1055 //
    1056 // If fRSigmaSquare is smaller than 0 (i.e. has not yet been set),
    1057 // return kFALSE
    1058 //
    1059 // Calculate the number of photo-electrons with the F-Factor method:
    1060 // - Test bit IsLoGainSaturation() for the Mean Sum of FADC slices:
    1061 //   If yes, take fLoGainMean and fLoGainMeanVar
    1062 //   If no , take fHiGainMean and fHiGainMeanVar
    1063 //
    1064 // - Test bit IsHiGainSaturation() for the pedRMS:
    1065 //   If yes, take fLoGainPedRmsSquare and fLoGainPedRmsSquareVar
    1066 //   If no , take fPedRms and fPedVar
    1067 //
    1068 // - Calculate the number of photo-electrons with the formula:
    1069 //   fPheFFactorMethod   = gkFFactor*gkFFactor * Mean * Mean  / fRSigmaSquare
    1070 //
    1071 // - Calculate the Variance on the photo-electrons with the formula:
    1072 //   fPheFFactorMethodVar =  (  4. * gkFFactorErr * gkFFactorErr / ( gkFFactor * gkFFactor )
    1073 //                            + 4. * Mean Var.   / ( Mean * Mean )
    1074 //                            + fRSigmaSquareVar / fRSigmaSquare
    1075 //                            ) * fPheFFactorMethod * fPheFFactorMethod
    1076 //
    1077 // - If fPheFFactorMethod is less than fPheFFactorMethodLimit,
    1078 //   set kFFactorMethodValid to kFALSE and return kFALSE
    1079 //
    1080 Bool_t MCalibrationChargePix::CalcLoGainFFactor()
    1081 {
    1082 
    1083   if (fLoGainRSigmaSquare < 0.)
    1084     return kFALSE;
    1085  
    1086   //
    1087   // Square all variables in order to avoid applications of square root
    1088   //
    1089   const Float_t meanSquare          =     GetLoGainMean()    * GetLoGainMean();
    1090   const Float_t meanSquareRelVar    = 4.* GetLoGainMeanRelVar();
    1091 
    1092   const Float_t ffactorsquare       =     gkFFactor    * gkFFactor;
    1093   const Float_t ffactorsquareRelVar = 4.* GetFFactorRelVar();
    1094 
    1095   const Float_t rsigmaSquareRelVar  =     fLoGainRSigmaSquareVar / fLoGainRSigmaSquare / fLoGainRSigmaSquare;
    1096   //
    1097   // Calculate the number of phe's from the F-Factor method
    1098   // (independent on Lo Gain or Lo Gain)
    1099   //
    1100   fLoGainPheFFactorMethod = ffactorsquare * meanSquare / fLoGainRSigmaSquare;
    1101 
    1102   if (IsDebug())
    1103     {
    1104       *fLog << dbginf << "ID: " << GetPixId()
    1105             << " F-Factor Square: " << ffactorsquare
    1106             << " Mean Square: " << meanSquare
    1107             << " Red.Sigma Square: " << fLoGainRSigmaSquare
    1108             << " Photo-electrons: " << fLoGainPheFFactorMethod
    1109             << endl;
    1110     }
    1111 
    1112   if (fLoGainPheFFactorMethod < fPheFFactorMethodLimit)
    1113     return kFALSE;
    1114  
    1115   //
    1116   // Calculate the Error of Nphe
    1117   //
    1118   const Float_t pheRelVar     = ffactorsquareRelVar + meanSquareRelVar + rsigmaSquareRelVar;
    1119   fLoGainPheFFactorMethodVar  = pheRelVar * fLoGainPheFFactorMethod * fLoGainPheFFactorMethod;
    1120 
    1121   if (IsDebug())
    1122     {
    1123       *fLog << dbginf << "ID: " << GetPixId()
    1124             << " Rel.Var.F-Factor Square: " << ffactorsquareRelVar
    1125             << " Rel.Var. Mean Square: " << meanSquareRelVar
    1126             << " Rel.Var. Red.Sigma Square: " << rsigmaSquareRelVar
    1127             << " Rel.Var. Photo-electrons: " << pheRelVar
    1128             << endl;
    1129     }
    1130 
    1131   if (fLoGainPheFFactorMethodVar < 0. )
     808  if (fPheFFactorMethodVar < 0. )
    1132809    return kFALSE;
    1133810
    … …  
    1164841// return kTRUE
    1165842//
    1166 Bool_t MCalibrationChargePix::CalcHiGainConvFFactor()
    1167 {
    1168  
    1169   if (fHiGainPheFFactorMethod <= 0.)
     843Bool_t MCalibrationChargePix::CalcConvFFactor()
     844{
     845 
     846  if (fPheFFactorMethod <= 0.)
    1170847    return kFALSE;
    1171848
    1172   const Float_t convmean = GetHiGainMean();
     849  const Float_t convmean = GetConvertedMean();
    1173850
    1174851  if (convmean <= 0.)
    1175852    return kFALSE;
    1176853 
    1177   fHiGainMeanConvFADC2Phe    =  fHiGainPheFFactorMethod / convmean;
     854  fMeanConvFADC2Phe    =  fPheFFactorMethod / convmean;
    1178855
    1179856  if (IsDebug())
    … …  
    1181858      *fLog << dbginf << "ID: " << GetPixId()
    1182859            << " Converted Mean: " << convmean
    1183             << " Conversion FADC2Phe: " << fHiGainMeanConvFADC2Phe
     860            << " Conversion FADC2Phe: " << fMeanConvFADC2Phe
    1184861            << endl;
    1185862    }
    1186863
    1187864  const Float_t ffactorsquareRelVar = 4.* GetFFactorRelVar();
    1188   const Float_t rsigmaSquareRelVar  = fHiGainRSigmaSquareVar / fHiGainRSigmaSquare / fHiGainRSigmaSquare;
     865  const Float_t rsigmaSquareRelVar  = fRSigmaSquareVar / fRSigmaSquare / fRSigmaSquare;
    1189866  //
    1190867  // In the calculation of the number of phe's one mean square has already been used.
    … …  
    1192869  // the errors, but have to take account of this cancellation:
    1193870  //
    1194   Float_t convrelvar = ffactorsquareRelVar + GetHiGainMeanRelVar() + rsigmaSquareRelVar;
    1195   const Float_t limit = fConvFFactorRelVarLimit;
     871  Float_t convrelvar = ffactorsquareRelVar + GetMeanRelVar() + rsigmaSquareRelVar;
     872  const Float_t limit = IsHiGainSaturation() ? fConvFFactorRelVarLimit * 4. : fConvFFactorRelVarLimit;
    1196873
    1197874  //
    … …  
    1199876  // have a fRSigmaSquareVar, calculate their error directly!
    1200877  //
    1201   if (fHiGainRSigmaSquareVar < 0.)
    1202     convrelvar = GetHiGainMeanRelVar() + GetHiGainPheFFactorMethodRelVar();
     878  if (fRSigmaSquareVar < 0.)
     879    convrelvar = GetMeanRelVar() + GetPheFFactorMethodRelVar();
    1203880
    1204881  if (IsDebug())
    … …  
    1206883      *fLog << dbginf << "ID: " << GetPixId()
    1207884            << " Rel.Var.Red.Sigma: " << rsigmaSquareRelVar
    1208             << " Rel.Var.Mean: " << GetHiGainMeanRelVar()
     885            << " Rel.Var.Mean: " << GetMeanRelVar()
    1209886            << " Rel.Var.F-Factor: " << ffactorsquareRelVar
    1210887            << " Rel.Var.Conversion FADC2Phe: " << convrelvar
    … …  
    1219896    }
    1220897 
    1221   fHiGainMeanConvFADC2PheVar =  convrelvar * fHiGainMeanConvFADC2Phe * fHiGainMeanConvFADC2Phe;
     898  fMeanConvFADC2PheVar =  convrelvar * fMeanConvFADC2Phe * fMeanConvFADC2Phe;
    1222899 
    1223900  SetFFactorMethodValid(kTRUE);
    … …  
    1225902}
    1226903
    1227 // ------------------------------------------------------------------
    1228 //
    1229 // If fPheFFactorMethod is smaller than 0 (i.e. has not yet been set),
    1230 // return kFALSE
    1231 //
    1232 // If GetCovertedMean() is smaller than 0 (i.e. has not yet been set),
    1233 // return kFALSE
    1234 //
    1235 // Calculate fMeanConvFADC2Phe with the following formula:
    1236 //
    1237 //      fMeanConvFADC2Phe    =  fPheFFactorMethod / GetConvMean();
    1238 //
    1239 // Calculate the rel. variance of fMeanConvFADC2Phe, taking into account that
    1240 // in the calculation of the number of phe's one mean square has already been used.
    1241 // Now, dividing by another mean, one mean calcels out, one cannot directly propagate
    1242 // the errors, but instead havs to take into account this cancellation:
    1243 //
    1244 //     convrelvar = ffactorsquareRelVar + GetMeanRelVar() + rsigmaSquareRelVar;
    1245 //
    1246 // If confrelvar is smaller than 0. or greater than fConvFFactorRelVarLimit,
    1247 // return kFALSE
    1248 //
    1249 // Calculate the variance of fMeanConvFADC2Phe with the formula:
    1250 //
    1251 //    fMeanConvFADC2PheVar =  convrelvar * fMeanConvFADC2Phe * fMeanConvFADC2Phe;
    1252 //
    1253 // Set kFFactorMethodValid to kTRUE and
    1254 // return kTRUE
    1255 //
    1256 Bool_t MCalibrationChargePix::CalcLoGainConvFFactor()
    1257 {
    1258  
    1259   if (fLoGainPheFFactorMethod <= 0.)
    1260     return kFALSE;
    1261 
    1262   const Float_t convmean = GetConvertedLoGainMean();
    1263 
    1264   if (convmean <= 0.)
    1265     return kFALSE;
    1266  
    1267   fLoGainMeanConvFADC2Phe    =  fLoGainPheFFactorMethod / convmean;
    1268 
    1269   if (IsDebug())
    1270     {
    1271       *fLog << dbginf << "ID: " << GetPixId()
    1272             << " Converted Mean: " << convmean
    1273             << " Conversion FADC2Phe: " << fLoGainMeanConvFADC2Phe
    1274             << endl;
    1275     }
    1276 
    1277   const Float_t ffactorsquareRelVar = 4.* GetFFactorRelVar();
    1278   const Float_t rsigmaSquareRelVar  = fLoGainRSigmaSquareVar / fLoGainRSigmaSquare / fLoGainRSigmaSquare;
    1279   //
    1280   // In the calculation of the number of phe's one mean square has already been used.
    1281   // Now, we divide by another mean, so one mean calcels out, we cannot directly propagate
    1282   // the errors, but have to take account of this cancellation:
    1283   //
    1284   Float_t convrelvar = ffactorsquareRelVar + GetConvertedLoGainMeanRelVar() + rsigmaSquareRelVar;
    1285   const Float_t limit = fConvFFactorRelVarLimit;
    1286 
    1287   //
    1288   // Also have to take into account the pixels labelled MBadPixelsPix::kChargeSigmaNotValid which do not
    1289   // have a fRSigmaSquareVar, calculate their error directly!
    1290   //
    1291   if (fLoGainRSigmaSquareVar < 0.)
    1292     convrelvar = GetConvertedLoGainMeanRelVar() + GetLoGainPheFFactorMethodRelVar();
    1293 
    1294   if (IsDebug())
    1295     {
    1296       *fLog << dbginf << "ID: " << GetPixId()
    1297             << " Rel.Var.Red.Sigma: " << rsigmaSquareRelVar
    1298             << " Rel.Var.Mean: " << GetLoGainMeanRelVar()
    1299             << " Rel.Var.F-Factor: " << ffactorsquareRelVar
    1300             << " Rel.Var.Conversion FADC2Phe: " << convrelvar
    1301             << endl;
    1302     }
    1303 
    1304   if (convrelvar > limit || convrelvar < 0.)
    1305     {
    1306       *fLog << warn << GetDescriptor() << ":  Conv. F-Factor Method Rel. Var.: "
    1307             << Form("%4.3f out of limits: [0,%3.2f] in pixel:%4i",convrelvar,limit,fPixId) << endl;
    1308       return kFALSE;
    1309     }
    1310  
    1311   fLoGainMeanConvFADC2PheVar =  convrelvar * fLoGainMeanConvFADC2Phe * fLoGainMeanConvFADC2Phe;
    1312  
    1313   SetFFactorMethodValid(kTRUE);
    1314   return kTRUE;
    1315 }
    1316 
    1317904// ----------------------------------------------------------------------------------
    1318905//
    … …  
    1324911// Calculate the error of the total F-Factor
    1325912//
    1326 Bool_t MCalibrationChargePix::CalcHiGainMeanFFactor( const Float_t nphotons, const Float_t nphotonsrelvar )
     913Bool_t MCalibrationChargePix::CalcMeanFFactor( const Float_t nphotons, const Float_t nphotonsrelvar )
    1327914{
    1328915
    … …  
    1333920            << " Number photons: " << nphotons
    1334921            << " Rel.Var.Number photons: " << nphotonsrelvar
    1335             << " Red.Sigma Square: " << fHiGainRSigmaSquare
    1336             << " Mean: " << GetHiGainMean()
     922            << " Red.Sigma Square: " << fRSigmaSquare
     923            << " Mean: " << GetMean()
    1337924            << endl;
    1338925    }
    … …  
    1351938    }
    1352939
    1353   fHiGainMeanFFactorFADC2Phot =  TMath::Sqrt(fHiGainRSigmaSquare * nphotons) / GetHiGainMean() ;
    1354  
    1355   if (IsDebug())
    1356     {
    1357       *fLog << dbginf << "ID: " << GetPixId()
    1358             << " F-Factor FADC2Phot: " << fHiGainMeanFFactorFADC2Phot
    1359             << endl;
    1360     }
    1361 
    1362   if (fHiGainMeanFFactorFADC2Phot < 0.)
     940  fMeanFFactorFADC2Phot =  TMath::Sqrt(fRSigmaSquare * nphotons) / GetMean() ;
     941 
     942  if (IsDebug())
     943    {
     944      *fLog << dbginf << "ID: " << GetPixId()
     945            << " F-Factor FADC2Phot: " << fMeanFFactorFADC2Phot
     946            << endl;
     947    }
     948
     949  if (fMeanFFactorFADC2Phot < 0.)
    1363950    {
    1364951      *fLog << warn << GetDescriptor() << ": F-Factor photons to FADC counts smaller than 0." << endl;
    … …  
    1366953    }
    1367954 
    1368   const Float_t ffactorrelvar = 0.25 * fHiGainRSigmaSquareVar / ( fHiGainRSigmaSquare * fHiGainRSigmaSquare)
    1369                               + GetHiGainMeanRelVar()
     955  const Float_t ffactorrelvar = 0.25 * fRSigmaSquareVar / ( fRSigmaSquare * fRSigmaSquare)
     956                              + GetMeanRelVar()
    1370957                              + 0.25 * nphotonsrelvar;
    1371958 
    1372   fHiGainMeanFFactorFADC2PhotVar = ffactorrelvar * fHiGainMeanFFactorFADC2Phot * fHiGainMeanFFactorFADC2Phot;
    1373 
    1374   if (IsDebug())
    1375     {
    1376       *fLog << dbginf << "ID: " << GetPixId()
    1377             << " Rel.Var.Red.Sigma: " << 0.25 * fHiGainRSigmaSquareVar / ( fHiGainRSigmaSquare * fHiGainRSigmaSquare)
    1378             << " Rel.Var.Mean: " << GetHiGainMeanRelVar()
    1379             << " Rel.Var.photons: " << 0.25 * nphotonsrelvar
    1380             << " Rel.Var.F-Factor FADC2Phot: " << ffactorrelvar
    1381             << endl;
    1382     }
    1383 
    1384   return kTRUE;
    1385 }
    1386 
    1387 // ----------------------------------------------------------------------------------
    1388 //
    1389 // If photflux is smaller or equal 0, return kFALSE
    1390 //
    1391 // Calculate the total F-Factor with the formula:
    1392 //   fMeanFFactorFADC2Phot = Sqrt ( fRSigmaSquare ) / GetMean()  * sqrt(nphotons)
    1393 //
    1394 // Calculate the error of the total F-Factor
    1395 //
    1396 Bool_t MCalibrationChargePix::CalcLoGainMeanFFactor( const Float_t nphotons, const Float_t nphotonsrelvar )
    1397 {
    1398 
    1399 
    1400   if (IsDebug())
    1401     {
    1402       *fLog << dbginf << "ID: " << GetPixId()
    1403             << " Number photons: " << nphotons
    1404             << " Rel.Var.Number photons: " << nphotonsrelvar
    1405             << " Red.Sigma Square: " << fLoGainRSigmaSquare
    1406             << " Mean: " << GetLoGainMean()
    1407             << endl;
    1408     }
    1409 
    1410 
    1411   if (nphotons <= 0.)
    1412     {
    1413       *fLog << warn << GetDescriptor() << ": Assumed photon flux is smaller or equal 0." << endl;
    1414       return kFALSE;
    1415     }
    1416 
    1417   if (nphotonsrelvar < 0.)
    1418     {
    1419       *fLog << warn << GetDescriptor() << ": Assumed photon flux variance is smaller than 0." << endl;
    1420       return kFALSE;
    1421     }
    1422 
    1423   fLoGainMeanFFactorFADC2Phot =  TMath::Sqrt(fLoGainRSigmaSquare * nphotons) / GetLoGainMean() ;
    1424  
    1425   if (IsDebug())
    1426     {
    1427       *fLog << dbginf << "ID: " << GetPixId()
    1428             << " F-Factor FADC2Phot: " << fLoGainMeanFFactorFADC2Phot
    1429             << endl;
    1430     }
    1431 
    1432   if (fLoGainMeanFFactorFADC2Phot < 0.)
    1433     {
    1434       *fLog << warn << GetDescriptor() << ": F-Factor photons to FADC counts smaller than 0." << endl;
    1435       return kFALSE;
    1436     }
    1437  
    1438   const Float_t ffactorrelvar = 0.25 * fLoGainRSigmaSquareVar / ( fLoGainRSigmaSquare * fLoGainRSigmaSquare)
    1439                               + GetLoGainMeanRelVar()
    1440                               + 0.25 * nphotonsrelvar;
    1441  
    1442   fLoGainMeanFFactorFADC2PhotVar = ffactorrelvar * fLoGainMeanFFactorFADC2Phot * fLoGainMeanFFactorFADC2Phot;
    1443 
    1444   if (IsDebug())
    1445     {
    1446       *fLog << dbginf << "ID: " << GetPixId()
    1447             << " Rel.Var.Red.Sigma: " << 0.25 * fLoGainRSigmaSquareVar / ( fLoGainRSigmaSquare * fLoGainRSigmaSquare)
    1448             << " Rel.Var.Mean: " << GetLoGainMeanRelVar()
     959  fMeanFFactorFADC2PhotVar    = ffactorrelvar * fMeanFFactorFADC2Phot * fMeanFFactorFADC2Phot;
     960
     961  if (IsDebug())
     962    {
     963      *fLog << dbginf << "ID: " << GetPixId()
     964            << " Rel.Var.Red.Sigma: " << 0.25 * fRSigmaSquareVar / ( fRSigmaSquare * fRSigmaSquare)
     965            << " Rel.Var.Mean: " << GetMeanRelVar()
    1449966            << " Rel.Var.photons: " << 0.25 * nphotonsrelvar
    1450967            << " Rel.Var.F-Factor FADC2Phot: " << ffactorrelvar
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