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test_edisp_map.py
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test_edisp_map.py
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# Licensed under a 3-clause BSD style license - see LICENSE.rst
import pytest
import numpy as np
from numpy.testing import assert_allclose
import astropy.units as u
from astropy.coordinates import SkyCoord
from astropy.units import Unit
from gammapy.irf import (
EDispKernel,
EDispKernelMap,
EDispMap,
EffectiveAreaTable2D,
EnergyDispersion2D,
)
from gammapy.makers.utils import make_edisp_map, make_map_exposure_true_energy
from gammapy.maps import Map, MapAxis, MapCoord, RegionGeom, WcsGeom
from gammapy.utils.regions import make_region
def fake_aeff2d(area=1e6 * u.m ** 2):
offsets = np.array((0.0, 1.0, 2.0, 3.0)) * u.deg
energy_axis_true = MapAxis.from_energy_bounds(
"0.1 TeV", "10 TeV", nbin=4, name="energy_true"
)
offset_axis = MapAxis.from_edges(offsets, name="offset")
aeff_values = np.ones((4, 3)) * area
return EffectiveAreaTable2D(
energy_axis_true=energy_axis_true, offset_axis=offset_axis, data=aeff_values,
)
def make_edisp_map_test():
etrue = [0.2, 0.7, 1.5, 2.0, 10.0] * u.TeV
migra = np.linspace(0.0, 3.0, 51)
offsets = np.array((0.0, 1.0, 2.0, 3.0)) * u.deg
pointing = SkyCoord(0, 0, unit="deg")
energy_axis = MapAxis(
nodes=[0.2, 0.7, 1.5, 2.0, 10.0],
unit="TeV",
name="energy_true",
node_type="edges",
interp="log",
)
migra_axis = MapAxis(nodes=np.linspace(0.0, 3.0, 51), unit="", name="migra")
edisp2d = EnergyDispersion2D.from_gauss(etrue, migra, 0.0, 0.2, offsets)
geom = WcsGeom.create(
skydir=pointing, binsz=1.0, width=5.0, axes=[migra_axis, energy_axis]
)
aeff2d = fake_aeff2d()
exposure_geom = geom.squash(axis_name="migra")
exposure_map = make_map_exposure_true_energy(pointing, "1 h", aeff2d, exposure_geom)
return make_edisp_map(edisp2d, pointing, geom, exposure_map)
def test_make_edisp_map():
energy_axis = MapAxis(
nodes=[0.2, 0.7, 1.5, 2.0, 10.0],
unit="TeV",
name="energy_true",
node_type="edges",
interp="log",
)
migra_axis = MapAxis(nodes=np.linspace(0.0, 3.0, 51), unit="", name="migra")
edmap = make_edisp_map_test()
assert edmap.edisp_map.geom.axes[0] == migra_axis
assert edmap.edisp_map.geom.axes[1] == energy_axis
assert edmap.edisp_map.unit == Unit("")
assert edmap.edisp_map.data.shape == (4, 50, 5, 5)
def test_edisp_map_to_from_hdulist():
edmap = make_edisp_map_test()
hdulist = edmap.to_hdulist()
assert "EDISP" in hdulist
assert "EDISP_BANDS" in hdulist
assert "EDISP_EXPOSURE" in hdulist
assert "EDISP_EXPOSURE_BANDS" in hdulist
new_edmap = EDispMap.from_hdulist(hdulist)
assert_allclose(edmap.edisp_map.data, new_edmap.edisp_map.data)
assert new_edmap.edisp_map.geom == edmap.edisp_map.geom
assert new_edmap.exposure_map.geom == edmap.exposure_map.geom
def test_edisp_map_read_write(tmp_path):
edisp_map = make_edisp_map_test()
edisp_map.write(tmp_path / "tmp.fits")
new_edmap = EDispMap.read(tmp_path / "tmp.fits")
assert_allclose(edisp_map.edisp_map.quantity, new_edmap.edisp_map.quantity)
def test_edisp_map_to_energydispersion():
edmap = make_edisp_map_test()
position = SkyCoord(0, 0, unit="deg")
energy_axis = MapAxis.from_edges(np.logspace(-0.3, 0.2, 200) * u.TeV, name="energy")
edisp = edmap.get_edisp_kernel(position, energy_axis=energy_axis)
# Note that the bias and resolution are rather poorly evaluated on an EnergyDispersion object
assert_allclose(edisp.get_bias(energy_true=1.0 * u.TeV), 0.0, atol=3e-2)
assert_allclose(edisp.get_resolution(energy_true=1.0 * u.TeV), 0.2, atol=3e-2)
def test_edisp_map_stacking():
edmap1 = make_edisp_map_test()
edmap2 = make_edisp_map_test()
edmap2.exposure_map.quantity *= 2
edmap_stack = edmap1.copy()
edmap_stack.stack(edmap2)
assert_allclose(edmap_stack.edisp_map.data, edmap1.edisp_map.data)
assert_allclose(edmap_stack.exposure_map.data, edmap1.exposure_map.data * 3)
def test_sample_coord():
edisp_map = make_edisp_map_test()
coords = MapCoord(
{"lon": [0, 0] * u.deg, "lat": [0, 0.5] * u.deg, "energy_true": [1, 3] * u.TeV},
frame="icrs",
)
coords_corrected = edisp_map.sample_coord(map_coord=coords)
assert len(coords_corrected["energy"]) == 2
assert coords_corrected["energy"].unit == "TeV"
assert_allclose(coords_corrected["energy"].value, [1.024664, 3.34484], rtol=1e-5)
@pytest.mark.parametrize("position", ["0d 0d", "180d 0d", "0d 90d", "180d -90d"])
def test_edisp_from_diagonal_response(position):
position = SkyCoord(position)
energy_axis_true = MapAxis.from_energy_bounds(
"0.3 TeV", "10 TeV", nbin=31, name="energy_true"
)
energy_axis = MapAxis.from_energy_bounds(
"0.3 TeV", "10 TeV", nbin=31, name="energy"
)
edisp_map = EDispMap.from_diagonal_response(energy_axis_true)
edisp_kernel = edisp_map.get_edisp_kernel(position, energy_axis=energy_axis)
sum_kernel = np.sum(edisp_kernel.data.data, axis=1).data
# We exclude the first and last bin, where there is no
# e_reco to contribute to
assert_allclose(sum_kernel[1:-1], 1)
def test_edisp_map_to_edisp_kernel_map():
energy_axis = MapAxis.from_energy_bounds("1 TeV", "10 TeV", nbin=5)
energy_axis_true = MapAxis.from_energy_bounds(
"0.3 TeV", "30 TeV", nbin=10, per_decade=True, name="energy_true"
)
migra_axis = MapAxis(nodes=np.linspace(0.0, 3.0, 51), unit="", name="migra")
edisp_map = EDispMap.from_diagonal_response(energy_axis_true, migra_axis)
edisp_kernel_map = edisp_map.to_edisp_kernel_map(energy_axis)
position = SkyCoord(0, 0, unit="deg")
kernel = edisp_kernel_map.get_edisp_kernel(position)
assert edisp_kernel_map.exposure_map.geom.axes[0].name == "energy"
actual = kernel.pdf_matrix.sum(axis=0)
assert_allclose(actual, 2.0)
def test_edisp_kernel_map_stack():
energy_axis = MapAxis.from_energy_bounds("1 TeV", "10 TeV", nbin=5)
energy_axis_true = MapAxis.from_energy_bounds(
"0.3 TeV", "30 TeV", nbin=10, per_decade=True, name="energy_true"
)
edisp_1 = EDispKernelMap.from_diagonal_response(
energy_axis=energy_axis, energy_axis_true=energy_axis_true
)
edisp_1.exposure_map.data += 1
edisp_2 = EDispKernelMap.from_diagonal_response(
energy_axis=energy_axis, energy_axis_true=energy_axis_true
)
edisp_2.exposure_map.data += 2
geom = edisp_1.edisp_map.geom
data = geom.energy_mask(energy_min=2 * u.TeV)
weights = Map.from_geom(geom=geom, data=data)
edisp_1.stack(edisp_2, weights=weights)
position = SkyCoord(0, 0, unit="deg")
kernel = edisp_1.get_edisp_kernel(position)
actual = kernel.pdf_matrix.sum(axis=0)
exposure = edisp_1.exposure_map.data[:, 0, 0, 0]
assert_allclose(actual, [2.0 / 3.0, 2.0 / 3.0, 2.0, 2.0, 2.0])
assert_allclose(exposure, 3.0)
def test__incorrect_edisp_kernel_map_stack():
energy_axis = MapAxis.from_energy_bounds("1 TeV", "10 TeV", nbin=5)
energy_axis_true = MapAxis.from_energy_bounds(
"0.3 TeV", "30 TeV", nbin=10, per_decade=True, name="energy_true"
)
edisp_1 = EDispKernelMap.from_diagonal_response(
energy_axis=energy_axis, energy_axis_true=energy_axis_true
)
edisp_1.exposure_map.data += 1
edisp_2 = EDispKernelMap.from_diagonal_response(
energy_axis=energy_axis, energy_axis_true=energy_axis_true
)
edisp_2.exposure_map = None
with pytest.raises(ValueError) as except_info:
edisp_1.stack(edisp_2)
assert except_info.match("Missing exposure map for EDispKernelMap.stack")
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 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 test_edisp_kernel_map_to_image():
e_reco = MapAxis.from_energy_bounds("0.1 TeV", "10 TeV", nbin=3)
e_true = MapAxis.from_energy_bounds(
"0.08 TeV", "20 TeV", nbin=5, name="energy_true"
)
edisp = EDispKernelMap.from_diagonal_response(e_reco, e_true)
im = edisp.to_image()
assert im.edisp_map.data.shape == (5, 1, 1, 2)
assert_allclose(im.edisp_map.data[0, 0, 0, 0], 0.87605894, rtol=1e-5)
def test_edisp_kernel_map_resample_axis():
e_reco = MapAxis.from_energy_bounds("0.1 TeV", "10 TeV", nbin=4)
e_true = MapAxis.from_energy_bounds(
"0.08 TeV", "20 TeV", nbin=10, name="energy_true"
)
edisp = EDispKernelMap.from_diagonal_response(e_reco, e_true)
e_reco = MapAxis.from_energy_bounds("0.1 TeV", "10 TeV", nbin=2)
im = edisp.resample_energy_axis(energy_axis=e_reco)
res = np.sum(im.edisp_map.data[4, :, 0, 0])
assert im.edisp_map.data.shape == (10, 2, 1, 2)
assert_allclose(res, 1.0, rtol=1e-5)