def get_default_sources(self):
point_sources, diffuse_sources = [], []
model = PowerLaw(index=self.powerlaw_index, e0=np.sqrt(self.emin*self.emax))
model.set_flux(self.flux, emin=self.emin, emax=self.emax)
ps = PointSource(
name = 'source',
model = model.copy(),
skydir = self.roi_dir)
point_sources.append(ps)
if self.isotropic_bg:
ds = get_sreekumar()
diffuse_sources.append(ds)
if self.nearby_source:
ps = PointSource(
name = 'nearby_source',
model = model.copy(),
skydir = SkyDir(self.roi_dir.ra(),self.roi_dir.dec()+3)
)
point_sources.append(ps)
return point_sources, diffuse_sources
class PointSource(object):
""" combine name, skydir, model """
def __init__(self,
skydir,
name,
model=None,
free_parameters=True,
leave_parameters=False):
self.name = name
self.skydir = skydir
self.model = PowerLaw() if model is None else model
#if not free_parameters:
if not leave_parameters:
for i in xrange(len(self.model.free)):
self.model.free[i] = free_parameters
self.duplicate = False
def __str__(self):
return '\n'.join([
'\n',
'=' * 60,
'Name:\t\t%s' % (self.name),
'R.A. (J2000):\t%.5f' % (self.skydir.ra()),
'Dec. (J2000):\t%.5f' % (self.skydir.dec()),
'Model:\t\t%s' % (self.model.full_name()),
'\t' + self.model.__str__(indent='\t'),
])
def copy(self):
""" Create a deep copy of the point source. """
return PointSource(SkyDir(self.skydir.ra(), self.skydir.dec()),
self.name,
self.model.copy(),
leave_parameters=True)
def get_default_sources(self):
point_sources, diffuse_sources = [], []
model = PowerLaw(index=self.powerlaw_index,
e0=np.sqrt(self.emin * self.emax))
model.set_flux(self.flux, emin=self.emin, emax=self.emax)
ps = PointSource(name='source',
model=model.copy(),
skydir=self.roi_dir)
point_sources.append(ps)
if self.isotropic_bg:
ds = get_sreekumar()
diffuse_sources.append(ds)
if self.nearby_source:
ps = PointSource(name='nearby_source',
model=model.copy(),
skydir=SkyDir(self.roi_dir.ra(),
self.roi_dir.dec() + 3))
point_sources.append(ps)
return point_sources, diffuse_sources
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:
sm = Disk(sigma=extension_mc, center=skydir_mc)
es = ExtendedSource(
name=extended,
model=model_mc,
spatial_model=sm,
)
sim_es = es
else:
# If the source has no extension,
# simulate the source as point-like
for fit_irf in ["P7SOURCE_V6", "P7SOURCE_V4"]:
print "Using fit_irf %s" % fit_irf
sa = SpectralAnalysis(
ds,
irf=fit_irf,
roi_dir=skydir_mc,
maxROI=10,
minROI=10,
event_class=0, # not this is necessary for MC data
emin=emin,
emax=emax,
)
source_guess = PointSource(name=name_mc, skydir=skydir_mc, model=model_mc.copy())
roi = sa.roi(
roi_dir=skydir_mc, diffuse_sources=[j.copy() for j in diffuse_sources], point_sources=[source_guess]
)
print "bins = ", roi.bin_edges
print "Fitting unmodified ROI"
def fit():
try:
roi.fit(use_gradient=True)
except Exception, err:
print "\n\n\n\nERROR FITTING: %s\n\n\n" % (str(err))
class ExtendedSource(DiffuseSource):
""" Class inherting from DiffuseSource but implementing a spatial source.
The main difference is the requirement of a spatial model to accomany
a spectral model. """
defaults = (
('name', None, 'The name of the extended source.'),
('model', None, 'a Model object.'),
('spatial_model', None, """The spatial model to use.
This is a SpatialModel object."""),
)
@keyword_options.decorate(defaults)
def __init__(self, **kwargs):
""" Make the naming consistent with the PointSource object so that
extended sources 'feel' like point sources.
"""
keyword_options.process(self, kwargs)
if self.model == None: self.model = PowerLaw()
if self.spatial_model == None: self.spatial_model = Disk()
if not isinstance(self.spatial_model, SpatialModel):
raise Exception(
"The diffuse_model passed to an Extended Source must inherit from SpatialModel."
)
super(ExtendedSource, self).__init__(diffuse_model=self.spatial_model,
scaling_model=self.model,
name=self.name)
self.model.background = False
@property
def skydir(self):
return self.spatial_model.center
@property
def smodel(self):
""" No reason to keep a model & smodel. """
return self.model
@smodel.setter
def smodel(self, value):
self.model = value
def __str__(self, indent=''):
return indent + ('\n' + indent).join([
'\n', '=' * 60,
'Name:\t\t%s' % (self.name),
'R.A. (J2000):\t\t%.5f' % (self.spatial_model.center.ra()),
'Dec. (J2000):\t\t%.5f' % (self.spatial_model.center.dec()),
'Model:\t\t%s' %
(self.model.full_name()), '\t' + self.model.__str__(indent='\t'),
'SpatialModel:\t%s' % (self.spatial_model.full_name()),
'\t' + self.spatial_model.__str__(indent='\t')
])
def copy(self):
""" Create a deep copy of an extended source. """
return ExtendedSource(name=self.name,
spatial_model=self.spatial_model.copy(),
model=self.model.copy())
