def guess(self, dep, *args, **kwargs):
vmax = get_peak(dep, *args)
tMax = vmax / 5.88e+10
t = {'val': tMax,
'min': tMax / _guess_ampl_scale,
'max': tMax * _guess_ampl_scale}
norm = guess_amplitude(dep, *args)
c_cm = 2.99792458e+10
h_erg = 6.6260693e-27
factor = numpy.exp(2.82) * numpy.square(c_cm) / h_erg / 2.
modampl = norm['val'] * factor / numpy.power(vmax, 3.)
mod = {'val': modampl,
'min': modampl / _guess_ampl_scale,
'max': modampl * _guess_ampl_scale}
param_apply_limits(mod, self.ampl, **kwargs)
param_apply_limits(t, self.t, **kwargs)
def guess(self, dep, *args, **kwargs):
if args[0][0] > args[0][-1]:
self.space.val = 1
Emax = get_peak(dep, *args)
tMax = Emax / 1.594
kt = {'val': tMax,
'min': tMax / _guess_ampl_scale,
'max': tMax * _guess_ampl_scale}
param_apply_limits(kt, self.kt, **kwargs)
norm = guess_amplitude(dep, *args)
modampl = norm['val'] * (numpy.exp(Emax / tMax) - 1) / \
numpy.square(Emax)
mod = {'val': modampl,
'min': modampl / _guess_ampl_scale,
'max': modampl * _guess_ampl_scale}
param_apply_limits(mod, self.ampl, **kwargs)