def guess(self, dep, *args, **kwargs):
ampl = guess_amplitude(dep, *args)
pos = get_position(dep, *args)
fwhm = guess_fwhm(dep, *args)
param_apply_limits(pos, self.pos, **kwargs)
norm = fwhm['val'] * numpy.sqrt(numpy.pi) * \
numpy.exp(lgam(self.index.val - 0.5) - lgam(self.index.val))
for key in ampl.keys():
ampl[key] *= norm
param_apply_limits(ampl, self.ampl, **kwargs)
def guess(self, dep, *args, **kwargs):
pos = get_position(dep, *args)
fwhm = guess_fwhm(dep, *args)
param_apply_limits(pos, self.pos, **kwargs)
param_apply_limits(fwhm, self.fwhm, **kwargs)
norm = guess_amplitude(dep, *args)
if fwhm != 10:
aprime = norm['val'] * self.fwhm.val * numpy.pi / 2.
ampl = {'val': aprime,
'min': aprime / _guess_ampl_scale,
'max': aprime * _guess_ampl_scale}
param_apply_limits(ampl, self.ampl, **kwargs)
else:
param_apply_limits(norm, self.ampl, **kwargs)