def setup(self):
etrue = np.logspace(-1, 1, 10) * u.TeV
self.e_true = etrue
ereco = np.logspace(-1, 1, 5) * u.TeV
elo = ereco[:-1]
ehi = ereco[1:]
self.e_reco = ereco
self.aeff = EffectiveAreaTable(etrue[:-1], etrue[1:], np.ones(9) * u.cm ** 2)
self.edisp = EDispKernel.from_diagonal_response(etrue, ereco)
start = u.Quantity([0], "s")
stop = u.Quantity([1000], "s")
time_ref = Time("2010-01-01 00:00:00.0")
self.gti = GTI.create(start, stop, time_ref)
self.livetime = self.gti.time_sum
self.on_region = make_region("icrs;circle(0.,1.,0.1)")
off_region = make_region("icrs;box(0.,1.,0.1, 0.2,30)")
self.off_region = off_region.union(
make_region("icrs;box(-1.,-1.,0.1, 0.2,150)")
)
self.wcs = WcsGeom.create(npix=300, binsz=0.01, frame="icrs").wcs
data = np.ones(elo.shape)
data[-1] = 0 # to test stats calculation with empty bins
axis = MapAxis.from_edges(ereco, name="energy", interp="log")
self.on_counts = RegionNDMap.create(
region=self.on_region, wcs=self.wcs, axes=[axis]
)
self.on_counts.data += 1
self.on_counts.data[-1] = 0
self.off_counts = RegionNDMap.create(
region=self.off_region, wcs=self.wcs, axes=[axis]
)
self.off_counts.data += 10
acceptance = RegionNDMap.from_geom(self.on_counts.geom)
acceptance.data += 1
data = np.ones(elo.shape)
data[-1] = 0
acceptance_off = RegionNDMap.from_geom(self.off_counts.geom)
acceptance_off.data += 10
self.dataset = SpectrumDatasetOnOff(
counts=self.on_counts,
counts_off=self.off_counts,
aeff=self.aeff,
edisp=self.edisp,
livetime=self.livetime,
acceptance=acceptance,
acceptance_off=acceptance_off,
name="test",
gti=self.gti,
)
def test_compound_region_center():
region_1 = make_region("galactic;circle(1,1,0.1)")
region_2 = make_region("galactic;circle(-1,1,0.1)")
region_3 = make_region("galactic;circle(1,-1,0.1)")
region_4 = make_region("galactic;circle(-1,-1,0.1)")
for region in [region_2, region_3, region_4]:
region_1 = region_1.union(region)
center = compound_region_center(region_1)
assert_allclose(center.galactic.l.wrap_at("180d"), 0 * u.deg, atol=1e-6)
assert_allclose(center.galactic.b, 0 * u.deg, atol=1e-6)
def test_make_region():
reg = make_region("image;circle(10,20,3)")
assert isinstance(reg, regions.CirclePixelRegion)
assert reg.center.x == 9
assert reg.center.y == 19
assert reg.radius == 3
reg = make_region("galactic;circle(10,20,3)")
assert reg.center.l.deg == 10
assert reg.center.b.deg == 20
assert reg.radius.to_value("deg") == 3
# Existing regions should pass through
reg2 = make_region(reg)
assert reg is reg2
with pytest.raises(TypeError):
make_pixel_region([reg])
def test_edispkernel_from_diagonal_response():
energy_axis_true = MapAxis.from_energy_bounds(
"0.3 TeV", "10 TeV", nbin=11, name="energy_true"
)
energy_axis = MapAxis.from_energy_bounds(
"0.3 TeV", "10 TeV", nbin=11, name="energy"
)
region = make_region("fk5;circle(0.,0., 10.")
geom = RegionGeom(region)
region_edisp = EDispKernelMap.from_diagonal_response(
energy_axis, energy_axis_true, geom=geom
)
sum_kernel = np.sum(region_edisp.edisp_map.data[..., 0, 0], axis=1)
# We exclude the first and last bin, where there is no
# e_reco to contribute to
assert_allclose(sum_kernel[1:-1], 1)
def select_region(self, region, wcs=None):
"""Select events in given region.
Parameters
----------
region : `~regions.SkyRegion` or str
Sky region or string defining a sky region
wcs : `~astropy.wcs.WCS`
World coordinate system transformation
Returns
-------
event_list : `EventList`
Copy of event list with selection applied.
"""
region = make_region(region)
mask = region.contains(self.radec, wcs)
return self.select_row_subset(mask)
def test_edispkernel_from_1D():
energy_axis_true = MapAxis.from_energy_bounds(
"0.5 TeV", "5 TeV", nbin=31, name="energy_true"
)
energy_axis = MapAxis.from_energy_bounds(
"0.1 TeV", "10 TeV", nbin=11, name="energy"
)
edisp = EDispKernel.from_gauss(energy_axis_true.edges, energy_axis.edges, 0.1, 0.0)
region = make_region("fk5;circle(0.,0., 10.")
geom = RegionGeom(region)
region_edisp = EDispKernelMap.from_edisp_kernel(edisp, geom=geom)
sum_kernel = np.sum(region_edisp.edisp_map.data[..., 0, 0], axis=1)
assert_allclose(sum_kernel, 1, rtol=1e-5)
allsky_edisp = EDispKernelMap.from_edisp_kernel(edisp)
sum_kernel = np.sum(allsky_edisp.edisp_map.data[..., 0, 0], axis=1)
assert allsky_edisp.edisp_map.data.shape == (31, 11, 1, 2)
assert_allclose(sum_kernel, 1, rtol=1e-5)
def create(cls, region, **kwargs):
"""Create region.
Parameters
----------
region : str or `~regions.SkyRegion`
Region
axes : list of `MapAxis`
Non spatial axes.
Returns
-------
geom : `RegionGeom`
Region geometry
"""
if isinstance(region, str):
region = make_region(region)
return cls(region, **kwargs)
def from_regions(cls, regions, **kwargs):
"""Create region geom from list of regions
The regions are combined with union to a compound region.
Parameters
----------
regions : `~regions.SkyRegion`
Regions
**kwargs: dict
Keyword arguments forwarded to `RegionGeom`
Returns
-------
geom : `RegionGeom`
Region map geometry
"""
if isinstance(regions, (SkyRegion, str)):
regions = [make_region(regions)]
region = list_to_compound_region(regions)
return cls(region, **kwargs)
def setup(self):
etrue = np.logspace(-1, 1, 10) * u.TeV
self.e_true = MapAxis.from_energy_edges(etrue, name="energy_true")
ereco = np.logspace(-1, 1, 5) * u.TeV
elo = ereco[:-1]
ehi = ereco[1:]
self.e_reco = MapAxis.from_energy_edges(ereco, name="energy")
start = u.Quantity([0], "s")
stop = u.Quantity([1000], "s")
time_ref = Time("2010-01-01 00:00:00.0")
self.gti = GTI.create(start, stop, time_ref)
self.livetime = self.gti.time_sum
self.on_region = make_region("icrs;circle(0.,1.,0.1)")
off_region = make_region("icrs;box(0.,1.,0.1, 0.2,30)")
self.off_region = off_region.union(
make_region("icrs;box(-1.,-1.,0.1, 0.2,150)"))
self.wcs = WcsGeom.create(npix=300, binsz=0.01, frame="icrs").wcs
self.aeff = RegionNDMap.create(region=self.on_region,
wcs=self.wcs,
axes=[self.e_true],
unit="cm2")
self.aeff.data += 1
data = np.ones(elo.shape)
data[-1] = 0 # to test stats calculation with empty bins
axis = MapAxis.from_edges(ereco, name="energy", interp="log")
self.on_counts = RegionNDMap.create(
region=self.on_region,
wcs=self.wcs,
axes=[axis],
meta={"EXPOSURE": self.livetime.to_value("s")},
)
self.on_counts.data += 1
self.on_counts.data[-1] = 0
self.off_counts = RegionNDMap.create(region=self.off_region,
wcs=self.wcs,
axes=[axis])
self.off_counts.data += 10
acceptance = RegionNDMap.from_geom(self.on_counts.geom)
acceptance.data += 1
data = np.ones(elo.shape)
data[-1] = 0
acceptance_off = RegionNDMap.from_geom(self.off_counts.geom)
acceptance_off.data += 10
self.edisp = EDispKernelMap.from_diagonal_response(
self.e_reco, self.e_true, self.on_counts.geom.to_image())
exposure = self.aeff * self.livetime
exposure.meta["livetime"] = self.livetime
mask_safe = RegionNDMap.from_geom(self.on_counts.geom, dtype=bool)
mask_safe.data += True
self.dataset = SpectrumDatasetOnOff(
counts=self.on_counts,
counts_off=self.off_counts,
exposure=exposure,
edisp=self.edisp,
acceptance=acceptance,
acceptance_off=acceptance_off,
name="test",
gti=self.gti,
mask_safe=mask_safe,
)