def test_spectrum_dataset_stack_nondiagonal_no_bkg(spectrum_dataset):
energy = spectrum_dataset.counts.geom.axes[0].edges
aeff = EffectiveAreaTable.from_parametrization(energy, "HESS")
edisp1 = EDispKernel.from_gauss(energy, energy, 0.1, 0)
livetime = 100 * u.s
spectrum_dataset1 = SpectrumDataset(
counts=spectrum_dataset.counts.copy(),
livetime=livetime, aeff=aeff, edisp=edisp1,
)
livetime2 = livetime
aeff2 = EffectiveAreaTable(
energy[:-1], energy[1:], aeff.data.data
)
edisp2 = EDispKernel.from_gauss(energy, energy, 0.2, 0.0)
spectrum_dataset2 = SpectrumDataset(
counts=spectrum_dataset.counts.copy(),
livetime=livetime2,
aeff=aeff2,
edisp=edisp2,
)
spectrum_dataset1.stack(spectrum_dataset2)
assert spectrum_dataset1.background is None
assert spectrum_dataset1.livetime == 2 * livetime
assert_allclose(
spectrum_dataset1.aeff.data.data.to_value("m2"), aeff.data.data.to_value("m2")
)
assert_allclose(spectrum_dataset1.edisp.get_bias(1 * u.TeV), 0.0, atol=1.2e-3)
assert_allclose(spectrum_dataset1.edisp.get_resolution(1 * u.TeV), 0.1581, atol=1e-2)
def test_spectrum_dataset_stack_diagonal_safe_mask(spectrum_dataset):
geom = spectrum_dataset.counts.geom
energy = MapAxis.from_energy_bounds("0.1 TeV", "10 TeV", nbin=30)
energy_true = MapAxis.from_energy_bounds("0.1 TeV",
"10 TeV",
nbin=30,
name="energy_true")
aeff = EffectiveAreaTable.from_parametrization(energy.edges, "HESS")
edisp = EDispKernelMap.from_diagonal_response(energy,
energy_true,
geom=geom.to_image())
livetime = 100 * u.s
background = spectrum_dataset.background
spectrum_dataset1 = SpectrumDataset(
counts=spectrum_dataset.counts.copy(),
livetime=livetime,
aeff=aeff,
edisp=edisp.copy(),
background=background.copy(),
)
livetime2 = 0.5 * livetime
aeff2 = EffectiveAreaTable(energy.edges[:-1], energy.edges[1:],
2 * aeff.data.data)
bkg2 = RegionNDMap.from_geom(geom=geom, data=2 * background.data)
geom = spectrum_dataset.counts.geom
data = np.ones(spectrum_dataset.data_shape, dtype="bool")
data[0] = False
safe_mask2 = RegionNDMap.from_geom(geom=geom, data=data)
spectrum_dataset2 = SpectrumDataset(
counts=spectrum_dataset.counts.copy(),
livetime=livetime2,
aeff=aeff2,
edisp=edisp,
background=bkg2,
mask_safe=safe_mask2,
)
spectrum_dataset1.stack(spectrum_dataset2)
reference = spectrum_dataset.counts.data
assert_allclose(spectrum_dataset1.counts.data[1:], reference[1:] * 2)
assert_allclose(spectrum_dataset1.counts.data[0], 141363)
assert spectrum_dataset1.livetime == 1.5 * livetime
assert_allclose(spectrum_dataset1.background.data[1:],
3 * background.data[1:])
assert_allclose(spectrum_dataset1.background.data[0], background.data[0])
assert_allclose(
spectrum_dataset1.aeff.data.data.to_value("m2"),
4.0 / 3 * aeff.data.data.to_value("m2"),
)
kernel = edisp.get_edisp_kernel()
kernel_stacked = spectrum_dataset1.edisp.get_edisp_kernel()
assert_allclose(kernel_stacked.pdf_matrix[1:], kernel.pdf_matrix[1:])
assert_allclose(kernel_stacked.pdf_matrix[0], 0.5 * kernel.pdf_matrix[0])
def test_spectrum_dataset_stack_nondiagonal_no_bkg(spectrum_dataset):
energy = spectrum_dataset.counts.geom.axes["energy"]
geom = spectrum_dataset.counts.geom.to_image()
edisp1 = EDispKernelMap.from_gauss(
energy_axis=energy,
energy_axis_true=energy.copy(name="energy_true"),
sigma=0.1,
bias=0,
geom=geom)
edisp1.exposure_map.data += 1
aeff = EffectiveAreaTable.from_parametrization(
energy.edges, "HESS").to_region_map(geom.region)
geom = spectrum_dataset.counts.geom
counts = RegionNDMap.from_geom(geom=geom)
gti = GTI.create(start=0 * u.s, stop=100 * u.s)
spectrum_dataset1 = SpectrumDataset(
counts=counts,
exposure=aeff * gti.time_sum,
edisp=edisp1,
meta_table=Table({"OBS_ID": [0]}),
gti=gti.copy(),
)
edisp2 = EDispKernelMap.from_gauss(
energy_axis=energy,
energy_axis_true=energy.copy(name="energy_true"),
sigma=0.2,
bias=0.0,
geom=geom)
edisp2.exposure_map.data += 1
gti2 = GTI.create(start=100 * u.s, stop=200 * u.s)
spectrum_dataset2 = SpectrumDataset(
counts=counts,
exposure=aeff * gti2.time_sum,
edisp=edisp2,
meta_table=Table({"OBS_ID": [1]}),
gti=gti2,
)
spectrum_dataset1.stack(spectrum_dataset2)
assert_allclose(spectrum_dataset1.meta_table["OBS_ID"][0], [0, 1])
assert spectrum_dataset1.background_model is None
assert_allclose(spectrum_dataset1.gti.time_sum.to_value("s"), 200)
assert_allclose(spectrum_dataset1.exposure.quantity[2].to_value("m2 s"),
1573851.079861)
kernel = edisp1.get_edisp_kernel()
assert_allclose(kernel.get_bias(1 * u.TeV), 0.0, atol=1.2e-3)
assert_allclose(kernel.get_resolution(1 * u.TeV), 0.1581, atol=1e-2)
def test_spectrum_dataset_stack_diagonal_safe_mask(spectrum_dataset):
geom = spectrum_dataset.counts.geom
energy = np.logspace(-1, 1, 31) * u.TeV
aeff = EffectiveAreaTable.from_parametrization(energy, "HESS")
edisp = EDispKernel.from_diagonal_response(energy, energy)
livetime = 100 * u.s
background = spectrum_dataset.background
spectrum_dataset1 = SpectrumDataset(
counts=spectrum_dataset.counts.copy(),
livetime=livetime,
aeff=aeff,
edisp=edisp,
background=background.copy(),
)
livetime2 = 0.5 * livetime
aeff2 = EffectiveAreaTable(energy[:-1], energy[1:], 2 * aeff.data.data)
bkg2 = RegionNDMap.from_geom(geom=geom, data=2 * background.data)
geom = spectrum_dataset.counts.geom
data = np.ones(spectrum_dataset.data_shape, dtype="bool")
data[0] = False
safe_mask2 = RegionNDMap.from_geom(geom=geom, data=data)
spectrum_dataset2 = SpectrumDataset(
counts=spectrum_dataset.counts.copy(),
livetime=livetime2,
aeff=aeff2,
edisp=edisp,
background=bkg2,
mask_safe=safe_mask2,
)
spectrum_dataset1.stack(spectrum_dataset2)
reference = spectrum_dataset.counts.data
assert_allclose(spectrum_dataset1.counts.data[1:], reference[1:] * 2)
assert_allclose(spectrum_dataset1.counts.data[0], 141363)
assert spectrum_dataset1.livetime == 1.5 * livetime
assert_allclose(spectrum_dataset1.background.data[1:],
3 * background.data[1:])
assert_allclose(spectrum_dataset1.background.data[0], background.data[0])
assert_allclose(
spectrum_dataset1.aeff.data.data.to_value("m2"),
4.0 / 3 * aeff.data.data.to_value("m2"),
)
assert_allclose(spectrum_dataset1.edisp.pdf_matrix[1:],
edisp.pdf_matrix[1:])
assert_allclose(spectrum_dataset1.edisp.pdf_matrix[0],
0.5 * edisp.pdf_matrix[0])
def test_spectrum_dataset_stack_nondiagonal_no_bkg(spectrum_dataset):
energy = spectrum_dataset.counts.geom.axes[0]
geom = spectrum_dataset.counts.geom.to_image()
edisp1 = EDispKernelMap.from_gauss(energy, energy, 0.1, 0, geom=geom)
edisp1.exposure_map.data += 1
aeff = EffectiveAreaTable.from_parametrization(
energy.edges, "HESS").to_region_map(geom.region)
livetime = 100 * u.s
spectrum_dataset1 = SpectrumDataset(counts=spectrum_dataset.counts.copy(),
livetime=livetime,
aeff=aeff,
edisp=edisp1,
meta_table=Table({"OBS_ID": [0]}))
livetime2 = livetime
aeff2 = aeff.copy()
edisp2 = EDispKernelMap.from_gauss(energy, energy, 0.2, 0.0, geom=geom)
edisp2.exposure_map.data += 1
spectrum_dataset2 = SpectrumDataset(counts=spectrum_dataset.counts.copy(),
livetime=livetime2,
aeff=aeff2,
edisp=edisp2,
meta_table=Table({"OBS_ID": [1]}))
spectrum_dataset1.stack(spectrum_dataset2)
assert_allclose(spectrum_dataset1.meta_table["OBS_ID"][0], [0, 1])
assert spectrum_dataset1.background is None
assert spectrum_dataset1.livetime == 2 * livetime
assert_allclose(spectrum_dataset1.aeff.quantity.to_value("m2"),
aeff.quantity.to_value("m2"))
kernel = edisp1.get_edisp_kernel()
assert_allclose(kernel.get_bias(1 * u.TeV), 0.0, atol=1.2e-3)
assert_allclose(kernel.get_resolution(1 * u.TeV), 0.1581, atol=1e-2)
def test_spectrum_dataset_stack_diagonal_safe_mask(spectrum_dataset):
geom = spectrum_dataset.counts.geom
energy = MapAxis.from_energy_bounds("0.1 TeV", "10 TeV", nbin=30)
energy_true = MapAxis.from_energy_bounds("0.1 TeV",
"10 TeV",
nbin=30,
name="energy_true")
aeff = EffectiveAreaTable2D.from_parametrization(
energy_axis_true=energy_true, instrument="HESS")
livetime = 100 * u.s
gti = GTI.create(start=0 * u.s, stop=livetime)
geom_true = geom.as_energy_true
exposure = make_map_exposure_true_energy(geom=geom_true,
livetime=livetime,
pointing=geom_true.center_skydir,
aeff=aeff)
edisp = EDispKernelMap.from_diagonal_response(energy,
energy_true,
geom=geom.to_image())
edisp.exposure_map.data = exposure.data[:, :, np.newaxis, :]
background = spectrum_dataset.background
mask_safe = RegionNDMap.from_geom(geom=geom, dtype=bool)
mask_safe.data += True
spectrum_dataset1 = SpectrumDataset(
name="ds1",
counts=spectrum_dataset.counts.copy(),
exposure=exposure.copy(),
edisp=edisp.copy(),
background=background.copy(),
gti=gti.copy(),
mask_safe=mask_safe,
)
livetime2 = 0.5 * livetime
gti2 = GTI.create(start=200 * u.s, stop=200 * u.s + livetime2)
bkg2 = RegionNDMap.from_geom(geom=geom, data=2 * background.data)
geom = spectrum_dataset.counts.geom
data = np.ones(spectrum_dataset.data_shape, dtype="bool")
data[0] = False
safe_mask2 = RegionNDMap.from_geom(geom=geom, data=data)
exposure2 = exposure.copy()
edisp = edisp.copy()
edisp.exposure_map.data = exposure2.data[:, :, np.newaxis, :]
spectrum_dataset2 = SpectrumDataset(
name="ds2",
counts=spectrum_dataset.counts.copy(),
exposure=exposure2,
edisp=edisp,
background=bkg2,
mask_safe=safe_mask2,
gti=gti2,
)
spectrum_dataset1.stack(spectrum_dataset2)
reference = spectrum_dataset.counts.data
assert_allclose(spectrum_dataset1.counts.data[1:], reference[1:] * 2)
assert_allclose(spectrum_dataset1.counts.data[0], 141363)
assert_allclose(spectrum_dataset1.exposure.quantity[0],
4.755644e09 * u.Unit("cm2 s"))
assert_allclose(spectrum_dataset1.background.data[1:],
3 * background.data[1:])
assert_allclose(spectrum_dataset1.background.data[0], background.data[0])
kernel = edisp.get_edisp_kernel()
kernel_stacked = spectrum_dataset1.edisp.get_edisp_kernel()
assert_allclose(kernel_stacked.pdf_matrix[1:], kernel.pdf_matrix[1:])
assert_allclose(kernel_stacked.pdf_matrix[0], 0.5 * kernel.pdf_matrix[0])
def test_spectrum_dataset_stack_diagonal_safe_mask(spectrum_dataset):
geom = spectrum_dataset.counts.geom
energy = MapAxis.from_energy_bounds("0.1 TeV", "10 TeV", nbin=30)
energy_true = MapAxis.from_energy_bounds("0.1 TeV",
"10 TeV",
nbin=30,
name="energy_true")
aeff = EffectiveAreaTable.from_parametrization(
energy.edges, "HESS").to_region_map(geom.region)
livetime = 100 * u.s
gti = GTI.create(start=0 * u.s, stop=livetime)
exposure = aeff * livetime
edisp = EDispKernelMap.from_diagonal_response(energy,
energy_true,
geom=geom.to_image())
edisp.exposure_map.data = exposure.data[:, :, np.newaxis, :]
background = spectrum_dataset.background_model.map.copy()
spectrum_dataset1 = SpectrumDataset(name="ds1",
counts=spectrum_dataset.counts.copy(),
exposure=exposure.copy(),
edisp=edisp.copy(),
models=BackgroundModel(
background,
name="ds1-bkg",
datasets_names=["ds1"]),
gti=gti.copy())
livetime2 = 0.5 * livetime
gti2 = GTI.create(start=200 * u.s, stop=200 * u.s + livetime2)
aeff2 = aeff * 2
bkg2 = RegionNDMap.from_geom(geom=geom, data=2 * background.data)
geom = spectrum_dataset.counts.geom
data = np.ones(spectrum_dataset.data_shape, dtype="bool")
data[0] = False
safe_mask2 = RegionNDMap.from_geom(geom=geom, data=data)
exposure2 = aeff2 * livetime2
edisp = edisp.copy()
edisp.exposure_map.data = exposure2.data[:, :, np.newaxis, :]
spectrum_dataset2 = SpectrumDataset(name="ds2",
counts=spectrum_dataset.counts.copy(),
exposure=exposure2,
edisp=edisp,
models=BackgroundModel(
bkg2,
name="ds2-bkg",
datasets_names=["ds2"]),
mask_safe=safe_mask2,
gti=gti2)
spectrum_dataset1.stack(spectrum_dataset2)
reference = spectrum_dataset.counts.data
assert_allclose(spectrum_dataset1.counts.data[1:], reference[1:] * 2)
assert_allclose(spectrum_dataset1.counts.data[0], 141363)
assert_allclose(spectrum_dataset1.exposure.data[0], 4.755644e+09)
assert_allclose(spectrum_dataset1.background_model.map.data[1:],
3 * background.data[1:])
assert_allclose(spectrum_dataset1.background_model.map.data[0],
background.data[0])
assert_allclose(
spectrum_dataset1.exposure.quantity.to_value("m2s"),
2 * (aeff * livetime).quantity.to_value("m2s"),
)
kernel = edisp.get_edisp_kernel()
kernel_stacked = spectrum_dataset1.edisp.get_edisp_kernel()
assert_allclose(kernel_stacked.pdf_matrix[1:], kernel.pdf_matrix[1:])
assert_allclose(kernel_stacked.pdf_matrix[0], 0.5 * kernel.pdf_matrix[0])
