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_fit(self, axes, **kwargs): spectral_kwargs = dict(color='red', zorder=1.9) spectral_kwargs.update(kwargs) sp = SpectrumPlotter(axes=axes) sp.plot(self.results['spectrum'], autoscale=False, **spectral_kwargs)
def plot_spectral_fit(self,axes, **kwargs): spectral_kwargs=dict(color='red',zorder=1.9) spectral_kwargs.update(kwargs) sp=SpectrumPlotter(axes=axes) sp.plot(self.results['spectrum'], autoscale=False, **spectral_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
for i,pwn in enumerate(cutoff_candidates): print i,pwn axes=grid[i] r = classifier.get_results(pwn) spectrum = r['spectrum'] sed = r['sed_4bpd'] s = SED(sed) s.plot_points(axes=axes, zorder=2.1) sp = SpectrumPlotter(axes=axes) sp.plot(spectrum, autoscale=False, color='red' if not bw else 'grey', zorder=1.9) label_axes(grid) grid[0].set_ylabel('') grid[4].set_ylabel('') for i in range(nrows*ncols): axes=grid[i] #axes.set_xlim_units(10**2*units.MeV,10**5.5*units.MeV) axes.set_xlim(0.1,10**2.5) #axes.set_ylim_units(1e-13*units.erg/units.cm**2/units.s,1e-9*units.erg/units.cm**2/units.s) if i in [0,1,2,3]: axes.set_ylim(1e-13,1e-9)