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
