def test_write(tmpdir, diffuse_model):
filename = tmpdir / diffuse_model.spatial_model.filename
diffuse_model.spatial_model.filename = None
with pytest.raises(IOError):
diffuse_model.spatial_model.write()
with pytest.raises(IOError):
Models(diffuse_model).to_dict()
diffuse_model.spatial_model.filename = filename
diffuse_model.spatial_model.write(overwrite=False)
TemplateSpatialModel.read(filename)
def test_sky_diffuse_map():
filename = "$GAMMAPY_DATA/catalogs/fermi/Extended_archive_v18/Templates/RXJ1713_2016_250GeV.fits"
model = TemplateSpatialModel.read(filename, normalize=False)
lon = [258.5, 0] * u.deg
lat = -39.8 * u.deg
val = model(lon, lat)
assert val.unit == "sr-1"
desired = [3269.178107, 0]
assert_allclose(val.value, desired)
res = model.evaluate_geom(model.map.geom)
assert_allclose(np.sum(res.value), 32816514.42078349)
radius = model.evaluation_radius
assert radius.unit == "deg"
assert_allclose(radius.value, 0.64, rtol=1.0e-2)
assert model.frame == "fk5"
assert isinstance(model.to_region(), PolygonSkyRegion)
with pytest.raises(TypeError):
model.plot_interative()
with pytest.raises(TypeError):
model.plot_grid()
def spatial_model(self):
"""Spatial model (`~gammapy.modeling.models.SpatialModel`)."""
d = self.data
ra = d["RAJ2000"]
dec = d["DEJ2000"]
if self.is_pointlike:
model = PointSpatialModel(lon_0=ra, lat_0=dec, frame="icrs")
else:
de = self.data_extended
morph_type = de["Model_Form"].strip()
e = (1 - (de["Model_SemiMinor"] / de["Model_SemiMajor"]) ** 2.0) ** 0.5
sigma = de["Model_SemiMajor"]
phi = de["Model_PosAng"]
if morph_type in ["Disk", "Elliptical Disk"]:
r_0 = de["Model_SemiMajor"]
model = DiskSpatialModel(
lon_0=ra, lat_0=dec, r_0=r_0, e=e, phi=phi, frame="icrs"
)
elif morph_type in ["Map", "Ring", "2D Gaussian x2"]:
filename = de["Spatial_Filename"].strip()
path = make_path(
"$GAMMAPY_DATA/catalogs/fermi/Extended_archive_v15/Templates/"
)
return TemplateSpatialModel.read(path / filename)
elif morph_type in ["2D Gaussian", "Elliptical 2D Gaussian"]:
model = GaussianSpatialModel(
lon_0=ra, lat_0=dec, sigma=sigma, e=e, phi=phi, frame="icrs"
)
else:
raise ValueError(f"Invalid spatial model: {morph_type!r}")
self._set_spatial_errors(model)
return model
def spatial_model(self):
"""Spatial model (`~gammapy.modeling.models.SpatialModel`)."""
d = self.data
ra = d["RAJ2000"]
dec = d["DEJ2000"]
if self.is_pointlike:
model = PointSpatialModel(lon_0=ra, lat_0=dec, frame="icrs")
else:
de = self.data_extended
morph_type = de["Model_Form"].strip()
e = (1 - (de["Model_SemiMinor"] / de["Model_SemiMajor"]) ** 2.0) ** 0.5
sigma = de["Model_SemiMajor"]
phi = de["Model_PosAng"]
if morph_type == "Disk":
r_0 = de["Model_SemiMajor"]
model = DiskSpatialModel(
lon_0=ra, lat_0=dec, r_0=r_0, e=e, phi=phi, frame="icrs"
)
elif morph_type in ["Map", "Ring", "2D Gaussian x2"]:
filename = de["Spatial_Filename"].strip()
path = make_path(
"$GAMMAPY_DATA/catalogs/fermi/LAT_extended_sources_8years/Templates/"
)
with warnings.catch_warnings(): # ignore FITS units warnings
warnings.simplefilter("ignore", FITSFixedWarning)
model = TemplateSpatialModel.read(path / filename)
elif morph_type == "2D Gaussian":
model = GaussianSpatialModel(
lon_0=ra, lat_0=dec, sigma=sigma, e=e, phi=phi, frame="icrs"
)
else:
raise ValueError(f"Invalid spatial model: {morph_type!r}")
self._set_spatial_errors(model)
return model
def test_sky_diffuse_map(caplog):
filename = "$GAMMAPY_DATA/catalogs/fermi/Extended_archive_v18/Templates/RXJ1713_2016_250GeV.fits"
model = TemplateSpatialModel.read(filename, normalize=False)
lon = [258.5, 0] * u.deg
lat = -39.8 * u.deg
val = model(lon, lat)
assert "WARNING" in [_.levelname for _ in caplog.records]
assert "Missing spatial template unit, assuming sr^-1" in [
_.message for _ in caplog.records
]
assert val.unit == "sr-1"
desired = [3269.178107, 0]
assert_allclose(val.value, desired)
res = model.evaluate_geom(model.map.geom)
assert_allclose(np.sum(res.value), 32826159.74707)
radius = model.evaluation_radius
assert radius.unit == "deg"
assert_allclose(radius.value, 0.64, rtol=1.0e-2)
assert model.frame == "fk5"
assert isinstance(model.to_region(), RectangleSkyRegion)
with pytest.raises(TypeError):
model.plot_interative()
with pytest.raises(TypeError):
model.plot_grid()
def test_read():
model = TemplateSpatialModel.read(
"$GAMMAPY_DATA/tests/unbundled/fermi/gll_iem_v02_cutout.fits",
normalize=False,
)
assert model.map.unit == "cm-2 s-1 MeV-1 sr-1"
# Check pixel inside map
val = model.evaluate(0 * u.deg, 0 * u.deg, 100 * u.GeV)
assert val.unit == "cm-2 s-1 MeV-1 sr-1"
assert val.shape == (1,)
assert_allclose(val.value, 1.396424e-12, rtol=1e-5)
def test_sky_diffuse_map():
filename = "$GAMMAPY_DATA/catalogs/fermi/Extended_archive_v18/Templates/RXJ1713_2016_250GeV.fits"
model = TemplateSpatialModel.read(filename, normalize=False)
lon = [258.5, 0] * u.deg
lat = -39.8 * u.deg
val = model(lon, lat)
assert val.unit == "sr-1"
desired = [3269.178107, 0]
assert_allclose(val.value, desired)
radius = model.evaluation_radius
assert radius.unit == "deg"
assert_allclose(radius.value, 0.64, rtol=1.0e-2)
assert model.frame == "fk5"
def test_sky_diffuse_map_3d():
filename = "$GAMMAPY_DATA/fermi-3fhl-gc/gll_iem_v06_gc.fits.gz"
model = TemplateSpatialModel.read(filename, normalize=False)
lon = [258.5, 0] * u.deg
lat = -39.8 * u.deg
energy = 1 * u.GeV
val = model(lon, lat, energy)
with pytest.raises(ValueError):
model(lon, lat)
assert model.map.unit == "cm-2 s-1 MeV-1 sr-1"
val = model(lon, lat, energy)
assert val.unit == "cm-2 s-1 MeV-1 sr-1"
res = model.evaluate_geom(model.map.geom)
assert_allclose(np.sum(res.value), 0.11803847221522712)
with pytest.raises(TypeError):
model.plot()
def spatial_model(self):
"""
Source spatial model (`~gammapy.modeling.models.SpatialModel`).
"""
d = self.data
pars = {}
glon = d["GLON"]
glat = d["GLAT"]
if self.is_pointlike:
pars["lon_0"] = glon
pars["lat_0"] = glat
return PointSpatialModel(lon_0=glon, lat_0=glat, frame="galactic")
else:
de = self.data_extended
morph_type = de["Model_Form"].strip()
if morph_type == "Disk":
r_0 = de["Model_SemiMajor"].to("deg")
return DiskSpatialModel(lon_0=glon,
lat_0=glat,
r_0=r_0,
frame="galactic")
elif morph_type in ["Map", "Ring", "2D Gaussian x2"]:
filename = de["Spatial_Filename"].strip()
path = make_path(
"$GAMMAPY_DATA/catalogs/fermi/Extended_archive_v15/Templates/"
)
return TemplateSpatialModel.read(path / filename)
elif morph_type == "2D Gaussian":
# TODO: fill elongation info as soon as model supports it
sigma = de["Model_SemiMajor"].to("deg")
return GaussianSpatialModel(lon_0=glon,
lat_0=glat,
sigma=sigma,
frame="galactic")
else:
raise ValueError(f"Invalid spatial model: {morph_type!r}")
def make_datasets_example():
# Define which data to use and print some information
energy_axis = MapAxis.from_edges(np.logspace(-1.0, 1.0, 4),
unit="TeV",
name="energy",
interp="log")
geom0 = WcsGeom.create(
skydir=(0, 0),
binsz=0.1,
width=(2, 2),
frame="galactic",
proj="CAR",
axes=[energy_axis],
)
geom1 = WcsGeom.create(
skydir=(1, 0),
binsz=0.1,
width=(2, 2),
frame="galactic",
proj="CAR",
axes=[energy_axis],
)
geoms = [geom0, geom1]
sources_coords = [(0, 0), (0.9, 0.1)]
names = ["gc", "g09"]
models = Models()
for idx, (lon, lat) in enumerate(sources_coords):
spatial_model = PointSpatialModel(lon_0=lon * u.deg,
lat_0=lat * u.deg,
frame="galactic")
spectral_model = ExpCutoffPowerLawSpectralModel(
index=2 * u.Unit(""),
amplitude=3e-12 * u.Unit("cm-2 s-1 TeV-1"),
reference=1.0 * u.TeV,
lambda_=0.1 / u.TeV,
)
model_ecpl = SkyModel(spatial_model=spatial_model,
spectral_model=spectral_model,
name=names[idx])
models.append(model_ecpl)
models["gc"].spectral_model.reference = models[
"g09"].spectral_model.reference
obs_ids = [110380, 111140, 111159]
data_store = DataStore.from_dir("$GAMMAPY_DATA/cta-1dc/index/gps/")
diffuse_spatial = TemplateSpatialModel.read(
"$GAMMAPY_DATA/fermi-3fhl-gc/gll_iem_v06_gc.fits.gz")
diffuse_model = SkyModel(PowerLawSpectralModel(), diffuse_spatial)
maker = MapDatasetMaker()
datasets = Datasets()
observations = data_store.get_observations(obs_ids)
for idx, geom in enumerate(geoms):
stacked = MapDataset.create(geom=geom, name=names[idx])
for obs in observations:
dataset = maker.run(stacked, obs)
stacked.stack(dataset)
bkg = stacked.models.pop(0)
stacked.models = [models[idx], diffuse_model, bkg]
datasets.append(stacked)
datasets.write(
"$GAMMAPY_DATA/tests/models",
prefix="gc_example",
overwrite=True,
write_covariance=False,
)
JFAC = 3.27e19 * u.Unit("GeV2 cm-5") # <--- Reticulum II Extended
#JFAC = 1.26e20 * u.Unit("GeV2 cm-5") # <--- Draco I Extended
mDM = 40000 * u.Unit("GeV")
channel = "b"
xsection = 1e-26 * u.Unit("cm3 s-1")
redshift = 0
RATIO = 2.71
# **Define 3D Sky Model**
DarkMatterAnnihilationSpectralModel.THERMAL_RELIC_CROSS_SECTION = xsection
flux_model = DarkMatterAnnihilationSpectralModel(mass=mDM,
channel=channel,
jfactor=JFAC)
spatial_model = TemplateSpatialModel.read(jfactor_filename)
sky_model = SkyModel(spatial_model=spatial_model,
spectral_model=flux_model,
name="model-simu")
bkg_model = FoVBackgroundModel(dataset_name="dataset-simu")
models = Models([sky_model, bkg_model])
# ## Declare observation values
pointing = src_pos
livetime = 100 * u.hour
offset = 2.0 * u.deg
#offset = 0.5 * u.deg
