|
1
|
|
|
# Licensed under a 3-clause BSD style license - see LICENSE.rst |
|
2
|
|
|
from numpy.testing import assert_allclose |
|
3
|
|
|
import pytest |
|
4
|
|
|
from astropy.coordinates import SkyCoord |
|
5
|
|
|
import astropy.units as u |
|
6
|
|
|
from regions import CircleSkyRegion |
|
7
|
|
|
from ...data import DataStore, Observations, ObservationStats, SpectrumStats |
|
8
|
|
|
from ...utils.testing import requires_data |
|
9
|
|
|
from ...background import ReflectedRegionsBackgroundEstimator |
|
10
|
|
|
|
|
11
|
|
|
|
|
12
|
|
|
@pytest.fixture(scope="session") |
|
13
|
|
|
def observations(): |
|
14
|
|
|
data_store = DataStore.from_dir("$GAMMAPY_DATA/hess-dl3-dr1/") |
|
15
|
|
|
run_list = [23523, 23526] |
|
16
|
|
|
return Observations([data_store.obs(_) for _ in run_list]) |
|
17
|
|
|
|
|
18
|
|
|
|
|
19
|
|
|
@pytest.fixture(scope="session") |
|
20
|
|
|
def on_region(): |
|
21
|
|
|
pos = SkyCoord(83.63 * u.deg, 22.01 * u.deg) |
|
22
|
|
|
on_size = 0.3 * u.deg |
|
23
|
|
|
return CircleSkyRegion(pos, on_size) |
|
24
|
|
|
|
|
25
|
|
|
|
|
26
|
|
|
@pytest.fixture(scope="session") |
|
27
|
|
|
def bad_on_region(): |
|
28
|
|
|
pos = SkyCoord(83.6333 * u.deg, 21.5144 * u.deg) |
|
29
|
|
|
on_size = 0.3 * u.deg |
|
30
|
|
|
return CircleSkyRegion(pos, on_size) |
|
31
|
|
|
|
|
32
|
|
|
|
|
33
|
|
|
@pytest.fixture(scope="session") |
|
34
|
|
|
def stats(on_region, observations): |
|
35
|
|
|
obs = observations[0] |
|
36
|
|
|
bge = ReflectedRegionsBackgroundEstimator(on_region=on_region, observations=obs) |
|
37
|
|
|
bg = bge.process(obs) |
|
38
|
|
|
return ObservationStats.from_observation(obs, bg) |
|
39
|
|
|
|
|
40
|
|
|
|
|
41
|
|
|
@pytest.fixture(scope="session") |
|
42
|
|
|
def stats_bad_on_region(bad_on_region, observations): |
|
43
|
|
|
obs = observations[0] |
|
44
|
|
|
bge = ReflectedRegionsBackgroundEstimator(on_region=bad_on_region, observations=obs) |
|
45
|
|
|
bg = bge.process(obs) |
|
46
|
|
|
return ObservationStats.from_observation(obs, bg) |
|
47
|
|
|
|
|
48
|
|
|
|
|
49
|
|
|
@pytest.fixture(scope="session") |
|
50
|
|
|
def stats_stacked(on_region, observations): |
|
51
|
|
|
bge = ReflectedRegionsBackgroundEstimator( |
|
52
|
|
|
on_region=on_region, observations=observations |
|
53
|
|
|
) |
|
54
|
|
|
bge.run() |
|
55
|
|
|
|
|
56
|
|
|
return ObservationStats.stack( |
|
57
|
|
|
[ |
|
58
|
|
|
ObservationStats.from_observation(obs, bg) |
|
59
|
|
|
for obs, bg in zip(observations, bge.result) |
|
60
|
|
|
] |
|
61
|
|
|
) |
|
62
|
|
|
|
|
63
|
|
|
|
|
64
|
|
|
@pytest.fixture(scope="session") |
|
65
|
|
|
def stats_stacked_bad_on_region(bad_on_region, observations): |
|
66
|
|
|
bge = ReflectedRegionsBackgroundEstimator( |
|
67
|
|
|
on_region=bad_on_region, observations=observations |
|
68
|
|
|
) |
|
69
|
|
|
bge.run() |
|
70
|
|
|
|
|
71
|
|
|
return ObservationStats.stack( |
|
72
|
|
|
[ |
|
73
|
|
|
ObservationStats.from_observation(obs, bg) |
|
74
|
|
|
for obs, bg in zip(observations, bge.result) |
|
75
|
|
|
] |
|
76
|
|
|
) |
|
77
|
|
|
|
|
78
|
|
|
|
|
79
|
|
|
@requires_data("gammapy-data") |
|
80
|
|
|
class TestObservationStats: |
|
81
|
|
|
@staticmethod |
|
82
|
|
|
def test_str(stats): |
|
83
|
|
|
text = str(stats) |
|
84
|
|
|
assert "Observation summary report" in text |
|
85
|
|
|
|
|
86
|
|
|
@staticmethod |
|
87
|
|
|
def test_to_dict(stats): |
|
88
|
|
|
data = stats.to_dict() |
|
89
|
|
|
assert data["n_on"] == 425 |
|
90
|
|
|
assert data["n_off"] == 395 |
|
91
|
|
|
assert_allclose(data["alpha"], 0.333, rtol=1e-2) |
|
92
|
|
|
assert_allclose(data["sigma"], 16.430, rtol=1e-3) |
|
93
|
|
|
assert_allclose(data["gamma_rate"].value, 11.127, rtol=1e-3) |
|
94
|
|
|
assert_allclose(data["bg_rate"].value, 4.995, rtol=1e-3) |
|
95
|
|
|
assert_allclose(data["livetime"].value, 26.362, rtol=1e-3) |
|
96
|
|
|
|
|
97
|
|
|
@staticmethod |
|
98
|
|
|
def test_bad_on(stats_bad_on_region): |
|
99
|
|
|
data = stats_bad_on_region.to_dict() |
|
100
|
|
|
assert data["alpha"] == 0 |
|
101
|
|
|
|
|
102
|
|
|
@staticmethod |
|
103
|
|
|
def test_stack(stats_stacked): |
|
104
|
|
|
data = stats_stacked.to_dict() |
|
105
|
|
|
assert data["n_on"] == 900 |
|
106
|
|
|
assert data["n_off"] == 766 |
|
107
|
|
|
assert_allclose(data["alpha"], 0.333, rtol=1e-2) |
|
108
|
|
|
assert_allclose(data["sigma"], 25.244, rtol=1e-3) |
|
109
|
|
|
|
|
110
|
|
|
@staticmethod |
|
111
|
|
|
def test_stack_bad_on(stats_stacked_bad_on_region): |
|
112
|
|
|
data = stats_stacked_bad_on_region.to_dict() |
|
113
|
|
|
assert data["n_on"] == 156 |
|
114
|
|
|
assert data["n_off"] == 1006 |
|
115
|
|
|
assert_allclose(data["alpha"], 0.125, rtol=1e-3) |
|
116
|
|
|
assert_allclose(data["livetime"].value, 26.211, rtol=1e-3) |
|
117
|
|
|
|
|
118
|
|
|
|
|
119
|
|
|
@pytest.fixture(scope="session") |
|
120
|
|
|
def spectrum_stats(on_region, observations): |
|
121
|
|
|
obs = observations[0] |
|
122
|
|
|
bge = ReflectedRegionsBackgroundEstimator(on_region=on_region, observations=obs) |
|
123
|
|
|
bg = bge.process(obs) |
|
124
|
|
|
e_range = [1 * u.TeV, 10 * u.TeV] |
|
125
|
|
|
return SpectrumStats.from_observation_in_range(obs, bg, e_range) |
|
126
|
|
|
|
|
127
|
|
|
|
|
128
|
|
|
@requires_data("gammapy-data") |
|
129
|
|
|
class TestSpectrumStats: |
|
130
|
|
|
@staticmethod |
|
131
|
|
|
def test_str(spectrum_stats): |
|
132
|
|
|
text = str(spectrum_stats) |
|
133
|
|
|
assert "Observation summary report" in text |
|
134
|
|
|
assert "energy range" in text |
|
135
|
|
|
|
|
136
|
|
|
@staticmethod |
|
137
|
|
|
def test_to_dict(spectrum_stats): |
|
138
|
|
|
data = spectrum_stats.to_dict() |
|
139
|
|
|
assert data["energy_min"] == 1 * u.TeV |
|
140
|
|
|
assert data["energy_max"] == 10 * u.TeV |
|
141
|
|
|
|
gammapy /
gammapy
