-
Notifications
You must be signed in to change notification settings - Fork 186
/
test_gammacat.py
165 lines (134 loc) · 6.01 KB
/
test_gammacat.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
# Licensed under a 3-clause BSD style license - see LICENSE.rst
import pytest
from numpy.testing import assert_allclose
from astropy import units as u
from astropy.utils.data import get_pkg_data_filename
from gammapy.catalog import SourceCatalogGammaCat
from gammapy.utils.gauss import Gauss2DPDF
from gammapy.utils.testing import assert_quantity_allclose, requires_data
SOURCES = [
{
"name": "Vela X",
"str_ref_file": "data/gammacat_vela_x.txt",
"spec_type": "ecpl",
"dnde_1TeV": 1.36e-11 * u.Unit("cm-2 s-1 TeV-1"),
"dnde_1TeV_err": 7.531e-13 * u.Unit("cm-2 s-1 TeV-1"),
"flux_1TeV": 2.104e-11 * u.Unit("cm-2 s-1"),
"eflux_1_10TeV": 9.265778680255336e-11 * u.Unit("erg cm-2 s-1"),
"n_flux_points": 24,
"spatial_model": "GaussianSpatialModel",
"ra": 128.287003,
"dec": -45.189999,
},
{
"name": "HESS J1848-018",
"str_ref_file": "data/gammacat_hess_j1848-018.txt",
"spec_type": "pl",
"dnde_1TeV": 3.7e-12 * u.Unit("cm-2 s-1 TeV-1"),
"dnde_1TeV_err": 4e-13 * u.Unit("cm-2 s-1 TeV-1"),
"flux_1TeV": 2.056e-12 * u.Unit("cm-2 s-1"),
"eflux_1_10TeV": 6.235650344765057e-12 * u.Unit("erg cm-2 s-1"),
"n_flux_points": 11,
"spatial_model": "GaussianSpatialModel",
"ra": 282.119995,
"dec": -1.792,
},
{
"name": "HESS J1813-178",
"str_ref_file": "data/gammacat_hess_j1813-178.txt",
"spec_type": "pl2",
"dnde_1TeV": 2.678e-12 * u.Unit("cm-2 s-1 TeV-1"),
"dnde_1TeV_err": 2.55e-13 * u.Unit("cm-2 s-1 TeV-1"),
"flux_1TeV": 2.457e-12 * u.Unit("cm-2 s-1"),
"eflux_1_10TeV": 8.923614018939419e-12 * u.Unit("erg cm-2 s-1"),
"n_flux_points": 13,
"spatial_model": "GaussianSpatialModel",
"ra": 273.362915,
"dec": -17.84889,
},
]
@pytest.fixture(scope="session")
def gammacat():
filename = "$GAMMAPY_DATA/catalogs/gammacat/gammacat.fits.gz"
return SourceCatalogGammaCat(filename=filename)
@requires_data()
class TestSourceCatalogGammaCat:
def test_source_table(self, gammacat):
assert gammacat.tag == "gamma-cat"
assert len(gammacat.table) == 162
def test_positions(self, gammacat):
assert len(gammacat.positions) == 162
def test_w28_alias_names(self, gammacat):
for name in [
"W28",
"HESS J1801-233",
"W 28",
"SNR G6.4-0.1",
"SNR G006.4-00.1",
"GRO J1801-2320",
]:
assert gammacat[name].row_index == 112
@requires_data()
class TestSourceCatalogObjectGammaCat:
def test_data(self, gammacat):
source = gammacat[0]
assert isinstance(source.data, dict)
assert source.data["common_name"] == "CTA 1"
assert_quantity_allclose(source.data["dec"], 72.782997 * u.deg)
@pytest.mark.parametrize("ref", SOURCES, ids=lambda _: _["name"])
def test_str(self, gammacat, ref):
actual = str(gammacat[ref["name"]])
expected = open(get_pkg_data_filename(ref["str_ref_file"])).read()
assert actual == expected
@pytest.mark.parametrize("ref", SOURCES, ids=lambda _: _["name"])
def test_spectral_model(self, gammacat, ref):
source = gammacat[ref["name"]]
spectral_model = source.spectral_model()
assert source.data["spec_type"] == ref["spec_type"]
e_min, e_max, e_inf = [1, 10, 1e10] * u.TeV
dne = spectral_model(e_min)
flux = spectral_model.integral(energy_min=e_min, energy_max=e_inf)
eflux = spectral_model.energy_flux(energy_min=e_min, energy_max=e_max).to(
"erg cm-2 s-1"
)
print(spectral_model)
assert_quantity_allclose(dne, ref["dnde_1TeV"], rtol=1e-3)
assert_quantity_allclose(flux, ref["flux_1TeV"], rtol=1e-3)
assert_quantity_allclose(eflux, ref["eflux_1_10TeV"], rtol=1e-3)
@pytest.mark.parametrize("ref", SOURCES, ids=lambda _: _["name"])
def test_spectral_model_err(self, gammacat, ref):
source = gammacat[ref["name"]]
spectral_model = source.spectral_model()
e_min, e_max, e_inf = [1, 10, 1e10] * u.TeV
dnde, dnde_err = spectral_model.evaluate_error(e_min)
assert_quantity_allclose(dnde, ref["dnde_1TeV"], rtol=1e-3)
assert_quantity_allclose(dnde_err, ref["dnde_1TeV_err"], rtol=1e-3)
@pytest.mark.parametrize("ref", SOURCES, ids=lambda _: _["name"])
def test_flux_points(self, gammacat, ref):
source = gammacat[ref["name"]]
flux_points = source.flux_points
assert flux_points.energy_axis.nbin == ref["n_flux_points"]
@pytest.mark.parametrize("ref", SOURCES, ids=lambda _: _["name"])
def test_position(self, gammacat, ref):
source = gammacat[ref["name"]]
position = source.position
assert_allclose(position.ra.deg, ref["ra"], atol=1e-3)
assert_allclose(position.dec.deg, ref["dec"], atol=1e-3)
@pytest.mark.parametrize("ref", SOURCES, ids=lambda _: _["name"])
def test_spatial_model(self, gammacat, ref):
source = gammacat[ref["name"]]
spatial_model = source.spatial_model()
assert spatial_model.frame == "galactic"
# TODO: put better asserts on model properties
# TODO: add a point and shell source -> separate list of sources for morphology test parametrization?
assert spatial_model.__class__.__name__ == ref["spatial_model"]
model = gammacat["HESS J1634-472"].spatial_model()
pos_err = model.position_error
scale_r95 = Gauss2DPDF().containment_radius(0.95)
assert_allclose(pos_err.height.value, 2 * 0.044721 * scale_r95, rtol=1e-4)
assert_allclose(pos_err.width.value, 2 * 0.044721 * scale_r95, rtol=1e-4)
assert_allclose(model.position.l.value, pos_err.center.l.value)
assert_allclose(model.position.b.value, pos_err.center.b.value)
@pytest.mark.parametrize("ref", SOURCES, ids=lambda _: _["name"])
def test_sky_model(self, gammacat, ref):
gammacat[ref["name"]].sky_model()