def estimateExpUncertainty(self,
dataset,
xuncert=0.01,
yuncert=0.01,
runs=10,
doplots=False,
conv=1e-6,
grad=1e-6,
guess=True):
"""Chresten's method for estimating the error on each parameter due
to the effect of the exp uncertainty, which is user provided """
data = self.data[dataset]
fitdata = self.__datatabs_fits__[dataset]
#print 'estimating exp uncertainty for %s' %dataset
fitstats = Fitting.estimateExpUncertainty(data,
fitdata,
xuncert=xuncert,
yuncert=yuncert,
runs=runs,
doplots=doplots,
conv=conv,
grad=grad,
guess=guess)
return fitstats
def estimateExpUncertainty(
self, dataset, xuncert=0.01, yuncert=0.01, runs=10, doplots=False, conv=1e-6, grad=1e-6, guess=True
):
"""Chresten's method for estimating the error on each parameter due
to the effect of the exp uncertainty, which is user provided """
data = self.data[dataset]
fitdata = self.__datatabs_fits__[dataset]
# print 'estimating exp uncertainty for %s' %dataset
fitstats = Fitting.estimateExpUncertainty(
data,
fitdata,
xuncert=xuncert,
yuncert=yuncert,
runs=runs,
doplots=doplots,
conv=conv,
grad=grad,
guess=guess,
)
return fitstats
