lib.Fitting.Qmcmc module

class lib.Fitting.Qmcmc.LogLikelihood(xvals=None, yvals=None, errors=None, model=None, nbins=None, nsiginit=10, nsigprior=20, flatprior=None, fixedpars=None, covariance_model_funct=None, p0=None, nwalkers=32, chi2=None)

Bases: object

Methods

__call__(mytheta[, extra_args, verbose])	Call self as a function.
minuit([p0, chi2, verbose, print_level, ...])

call4curvefit
compute_sigma68
curve_fit
fisher_analysis
log_priors
make_covariance_matrix
random_explore_guess
run

call4curvefit(x, *pars)

compute_sigma68(logLLH, rvalues)

curve_fit(p0=None)

fisher_analysis(delta_r=1e-07)

log_priors(theta)

make_covariance_matrix()

minuit(p0=None, chi2=None, verbose=True, print_level=0, ncallmax=10000, extra_args=None, nsplit=1, return_chi2fct=False)

random_explore_guess(ntry=100, fraction=1)

run(nbmc)