Function references

UndersmoothTau

• Double_t UndersmoothedUnfolding::UndersmoothTau (Double_t tau, Double_t epsilon = 0.01, Int_t max_iter = 1000)

  Input:

  • Double_t tau: (strictly positive) pilot estimate of regularization strength \(\tau^{initial}\)

  • Double_t epsilon: (strictly positive) tolerance for target coverage

  • Int_t max_iter: (strictly positive) maximum number of undersmoothing iterations

  Output:

  • Undersmoothed regularization strength \(\tau^{undersmoothed}\)

ComputeCoverage

• TVectorD UndersmoothedUnfolding::ComputeCoverage (TMatrixD * beta, Double_t tau)

  Input:

  • TMatrixD * beta: estimate of the true histogram in TMatrixD type

  • Double_t tau: (strictly positive) regularization strength \(\tau\)

  Output:

  • Computes coverage probability for each bin and outputs in TVectorD type

• TVectorD UndersmoothedUnfolding::ComputeCoverage (TH1 * beta, Double_t tau)

  Input:

  • TH1 * beta: estimate of the true histogram in TH1 type

  • Double_t tau: (strictly positive) regularization strength \(\tau\)

  Output:

  • Computes coverage probability for each bin and outputs in TVectorD type