The Circe method is a statistical approach which is applied as an alternative to the expert judgement, used to
determine the uncertainty of physical model's parameters. These uncertainties can be tricky to estimate as some of
these parameters might not be directly measurable. However, it might be possible to use SET (separate-effect tests)
experiments, which are sensitive to the physical model, to derive an estimation of these uncertainties. This method has been implemented in Uranie throughout the TCirce class. A
description of the method is provided in [metho]
Define the Circe method on the TDataServertds where the experimental
attribute is Yhat, the output of the code is Ystar and the
derivatives from each parameter are specified in the Derivatives (list of attributes
separated by the "," character).
estimate(Option_t* option="")
Launch the process to estimate the vector of bias and the correlation matrix. No option is used.
setTolerance(Double_t dtol)
Set the tolerance parameter to stop the algorithm. The default value is 1.0e-5.
setBVectorInitial(TVectorD vec)
Set the initial B Vector which default vector is the null vector.
setCMatrixInitial(TMatrixD mat)
Set the initial C matrix which default matrix is the identity matrix.
setNCMatrix(Int_t n)
Set the number of loops to execute the algorithm with different initials C matrix. The first one is always the
identity matrix and the default value is one.
