def data_prep():
data_store = DataStore.from_dir("$GAMMAPY_DATA/hess-dl3-dr1/")
OBS_ID = 23523
obs_ids = OBS_ID * np.ones(N_OBS)
observations = data_store.get_observations(obs_ids)
target_position = SkyCoord(ra=83.63308, dec=22.01450, unit="deg")
e_reco = MapAxis.from_bounds(0.1, 40, nbin=40, interp="log",
unit="TeV").edges
e_true = MapAxis.from_bounds(0.05, 100, nbin=200, interp="log",
unit="TeV").edges
on_region_radius = Angle("0.11 deg")
on_region = CircleSkyRegion(center=target_position,
radius=on_region_radius)
dataset_maker = SpectrumDatasetMaker(containment_correction=True,
selection=["counts", "aeff", "edisp"])
empty = SpectrumDatasetOnOff.create(region=on_region,
e_reco=e_reco,
e_true=e_true)
bkg_maker = ReflectedRegionsBackgroundMaker()
safe_mask_masker = SafeMaskMaker(methods=["aeff-max"], aeff_percent=10)
spectral_model = PowerLawSpectralModel(index=2.6,
amplitude=2.0e-11 *
u.Unit("1 / (cm2 s TeV)"),
reference=1 * u.TeV)
spectral_model.index.frozen = False
model = spectral_model.copy()
model.name = "crab"
datasets_1d = []
for observation in observations:
dataset = dataset_maker.run(dataset=empty.copy(),
observation=observation)
dataset_on_off = bkg_maker.run(dataset, observation)
dataset_on_off = safe_mask_masker.run(dataset_on_off, observation)
datasets_1d.append(dataset_on_off)
for dataset in datasets_1d:
model = spectral_model.copy()
model.name = "crab"
dataset.model = model
return datasets_1d
def data_prep():
data_store = DataStore.from_dir("$GAMMAPY_DATA/hess-dl3-dr1/")
OBS_ID = 23523
obs_ids = OBS_ID * np.ones(N_OBS)
observations = data_store.get_observations(obs_ids)
target_position = SkyCoord(ra=83.63, dec=22.01, unit="deg", frame="icrs")
on_region_radius = Angle("0.11 deg")
on_region = CircleSkyRegion(center=target_position,
radius=on_region_radius)
exclusion_region = CircleSkyRegion(
center=SkyCoord(183.604, -8.708, unit="deg", frame="galactic"),
radius=0.5 * u.deg,
)
skydir = target_position.galactic
exclusion_mask = Map.create(npix=(150, 150),
binsz=0.05,
skydir=skydir,
proj="TAN",
coordsys="GAL")
mask = exclusion_mask.geom.region_mask([exclusion_region], inside=False)
exclusion_mask.data = mask
e_reco = MapAxis.from_bounds(0.1, 40, nbin=40, interp="log",
unit="TeV").edges
e_true = MapAxis.from_bounds(0.05, 100, nbin=200, interp="log",
unit="TeV").edges
stacked = SpectrumDatasetOnOff.create(e_reco=e_reco, e_true=e_true)
stacked.name = "stacked"
dataset_maker = SpectrumDatasetMaker(region=on_region,
e_reco=e_reco,
e_true=e_true,
containment_correction=False)
bkg_maker = ReflectedRegionsBackgroundMaker(exclusion_mask=exclusion_mask)
safe_mask_masker = SafeMaskMaker(methods=["aeff-max"], aeff_percent=10)
for observation in observations:
dataset = dataset_maker.run(observation,
selection=["counts", "aeff", "edisp"])
dataset_on_off = bkg_maker.run(dataset, observation)
dataset_on_off = safe_mask_masker.run(dataset_on_off, observation)
stacked.stack(dataset_on_off)
return stacked
def test_spectrumdatasetonoff_create(self):
e_reco = u.Quantity([0.1, 1, 10.0], "TeV")
e_true = u.Quantity([0.05, 0.5, 5, 20.0], "TeV")
empty_dataset = SpectrumDatasetOnOff.create(e_reco, e_true)
assert empty_dataset.counts.total_counts == 0
assert empty_dataset.data_shape[0] == 2
assert empty_dataset.counts_off.total_counts == 0
assert empty_dataset.counts_off.energy.nbin == 2
assert_allclose(empty_dataset.acceptance_off, 1)
assert_allclose(empty_dataset.acceptance, 1)
assert empty_dataset.acceptance.shape[0] == 2
assert empty_dataset.acceptance_off.shape[0] == 2
assert empty_dataset.livetime.value == 0
assert len(empty_dataset.gti.table) == 0
assert empty_dataset.energy_range[0] is None
def test_create_stack(self):
stacked = SpectrumDatasetOnOff.create(self.e_reco, self.e_true)
stacked.stack(self.dataset)
assert_allclose(stacked.energy_range.value,
self.dataset.energy_range.value)
def data_prep():
data_store = DataStore.from_dir("$GAMMAPY_DATA/hess-dl3-dr1/")
OBS_ID = 23523
obs_ids = OBS_ID * np.ones(N_OBS)
observations = data_store.get_observations(obs_ids)
target_position = SkyCoord(ra=83.63, dec=22.01, unit="deg", frame="icrs")
on_region_radius = Angle("0.11 deg")
on_region = CircleSkyRegion(center=target_position,
radius=on_region_radius)
exclusion_region = CircleSkyRegion(
center=SkyCoord(183.604, -8.708, unit="deg", frame="galactic"),
radius=0.5 * u.deg,
)
skydir = target_position.galactic
exclusion_mask = Map.create(npix=(150, 150),
binsz=0.05,
skydir=skydir,
proj="TAN",
frame="galactic")
mask = exclusion_mask.geom.region_mask([exclusion_region], inside=False)
exclusion_mask.data = mask
e_reco = MapAxis.from_bounds(0.1, 40, nbin=40, interp="log",
unit="TeV").edges
e_true = MapAxis.from_bounds(0.05, 100, nbin=200, interp="log",
unit="TeV").edges
stacked = SpectrumDatasetOnOff.create(region=on_region,
e_reco=e_reco,
e_true=e_true,
name="stacked")
dataset_maker = SpectrumDatasetMaker(containment_correction=False,
selection=["counts", "aeff", "edisp"])
bkg_maker = ReflectedRegionsBackgroundMaker(exclusion_mask=exclusion_mask)
safe_mask_masker = SafeMaskMaker(methods=["aeff-max"], aeff_percent=10)
spectral_model = PowerLawSpectralModel(index=2,
amplitude=2e-11 *
u.Unit("cm-2 s-1 TeV-1"),
reference=1 * u.TeV)
spatial_model = PointSpatialModel(lon_0=target_position.ra,
lat_0=target_position.dec,
frame="icrs")
spatial_model.lon_0.frozen = True
spatial_model.lat_0.frozen = True
sky_model = SkyModel(spatial_model=spatial_model,
spectral_model=spectral_model,
name="")
for observation in observations:
dataset = stacked.copy(name=f"dataset-{observation.obs_id}")
dataset = dataset_maker.run(dataset=dataset, observation=observation)
dataset_on_off = bkg_maker.run(dataset, observation)
dataset_on_off = safe_mask_masker.run(dataset_on_off, observation)
stacked.stack(dataset_on_off)
stacked.models = sky_model
return Datasets([stacked])
