obsuncert¶
Module used to compute the uncertainty of some observables using a MonteCarlo analysis.
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SMEFT19.obsuncert.calculate(wfun, minx, maxx, fout, fin, name, num=50, cores=1, mode='exact')[source]¶ Computes the central value and uncertainty of a selection of observables, using a MonteCarlo analysis. The observables are \(R_{K^{(*)}}\) and \(R_{D^{(*)}}\), and can be modified by editing the variable obsuncert.obslist.
- Arguments
wfun: Function that takes a point in parameter space and returns a dictionary of Wilson coefficents.
minx: Minimum of the search region. If the fit is multidimensional, minx is a list containing the minimum of the search region in each direction.
minx: Maximum of the search region. If the fit is multidimensional, maxx is a list containing the maximum of the search region in each direction.
fout: Path to the .yaml file where the statistical values will be saved.
bf: Coordinates of the best fit point.
name: Name of the fit.
[num: Number of MonteCarlo points used to compute the uncertainty. Default=50.]
[cores: number of cores used to parallel-compute the uncertainty. Default=1 (no parallelization).]