def todict(self): return tolist(dict( sed_points = self.sed_points, model0 = spectrum_to_dict(self.model0), model1 = spectrum_to_dict(self.comprehensive_model), TS_comp = self.TS_comp, ll_1 = self.ll_1, ll_0 = self.ll_0, ))
def todict(self): return tolist( dict( sed_points=self.sed_points, model0=spectrum_to_dict(self.model0), model1=spectrum_to_dict(self.comprehensive_model), TS_comp=self.TS_comp, ll_1=self.ll_1, ll_0=self.ll_0, ))
results = [] for extension_mc in extensions: print 'Looping over extension_mc=%g' % extension_mc model_mc = PowerLaw(index=index_mc) model_mc.set_flux(flux_mc(extension_mc), emin, emax) r = dict( type = args.type, mc = dict( extension=extension_mc, gal=[ skydir_mc.l(), skydir_mc.b() ], cel=[ skydir_mc.ra(), skydir_mc.dec() ], model=spectrum_to_dict(model_mc), flux=pointlike_model_to_flux(model_mc, emin, emax), ) ) tempdir = mkdtemp() point = 'point' ps = PointSource( name=point, model=model_mc.copy(), skydir = skydir_mc ) extended = 'extended_%f' % extension_mc if extension_mc > 0: