def plot_spectral_error(self, axes, **kwargs): spectral_error_kwargs=dict(color='red',alpha=0.5,zorder=1.8) spectral_error_kwargs.update(kwargs) sp=SpectrumPlotter(axes=axes) sp.plot_error(self.results['spectrum'], self.results['spectrum']['covariance_matrix'], autoscale=False, **spectral_error_kwargs)
def plot_spectral_error(self, axes, **kwargs): spectral_error_kwargs = dict(color='red', alpha=0.5, zorder=1.8) spectral_error_kwargs.update(kwargs) sp = SpectrumPlotter(axes=axes) sp.plot_error(self.results['spectrum'], self.results['spectrum']['covariance_matrix'], autoscale=False, **spectral_error_kwargs)
def plot( self, filename=None, axes=None, fignum=None, figsize=(5.5, 4.5), spectral_kwargs=dict(color='red', zorder=1.9), cutoff_kwargs=dict(color='blue', zorder=1.9), ): if axes is None: fig = P.figure(fignum, figsize) axes = SpectralAxes(fig=fig, rect=(0.22, 0.15, 0.75, 0.8), flux_units=self.flux_units, energy_units=self.energy_units) fig.add_axes(axes) axes.set_xlim_units(100 * units.MeV, 10**5.5 * units.MeV) # plot sed sed = SED(self.sed_4bpd) sed.plot_points(axes=axes) if self.hypothesis == 'at_pulsar': # plot power-law limits ul = UpperLimit(self.powerlaw_limit) ul.plot(axes=axes, color='orange', zorder=1.9) axes.autoscale(False) # plot spectral model sp = SpectrumPlotter(axes=axes) sp.plot(self.spectral_model, **spectral_kwargs) sp.plot_error(self.spectral_model, alpha=0.25, **spectral_kwargs) if self.hypothesis != 'extended': # plot cutoff model sp.plot(self.cutoff_model, **cutoff_kwargs) sp.plot_error(self.cutoff_model, alpha=0.25, **cutoff_kwargs) if self.hypothesis == 'at_pulsar': ul = UpperLimit(self.cutoff_limit) ul.plot(axes=axes, color='purple', zorder=1.9) #if self.code == 'gtlike': # bf = BandFitter(self.bandfits) # bf.plot(axes=axes, # spectral_kwargs=dict(color='green',zorder=1.9), # spectral_error_kwargs=dict(color='green', alpha=0.25)) if filename is not None: P.savefig(expandvars(filename)) return axes
def plot(self, filename=None, axes=None, fignum=None, figsize=(5.5,4.5), spectral_kwargs=dict(color='red', zorder=1.9), cutoff_kwargs=dict(color='blue', zorder=1.9), ): if axes is None: fig = P.figure(fignum,figsize) axes = SpectralAxes(fig=fig, rect=(0.22,0.15,0.75,0.8), flux_units=self.flux_units, energy_units=self.energy_units) fig.add_axes(axes) axes.set_xlim_units(100*units.MeV, 10**5.5*units.MeV) # plot sed sed = SED(self.sed_4bpd) sed.plot_points(axes=axes) if self.hypothesis == 'at_pulsar': # plot power-law limits ul=UpperLimit(self.powerlaw_limit) ul.plot(axes=axes, color='orange', zorder=1.9) axes.autoscale(False) # plot spectral model sp=SpectrumPlotter(axes=axes) sp.plot(self.spectral_model, **spectral_kwargs) sp.plot_error(self.spectral_model, alpha=0.25, **spectral_kwargs) if self.hypothesis != 'extended': # plot cutoff model sp.plot(self.cutoff_model, **cutoff_kwargs) sp.plot_error(self.cutoff_model, alpha=0.25, **cutoff_kwargs) if self.hypothesis == 'at_pulsar': ul=UpperLimit(self.cutoff_limit) ul.plot(axes=axes, color='purple', zorder=1.9) #if self.code == 'gtlike': # bf = BandFitter(self.bandfits) # bf.plot(axes=axes, # spectral_kwargs=dict(color='green',zorder=1.9), # spectral_error_kwargs=dict(color='green', alpha=0.25)) if filename is not None: P.savefig(expandvars(filename)) return axes