def do_comparison(self,
system,
start_phs=-0.2,
stop_phs=1.2,
step=0.1,
tol=1e-8):
settings.configure(**{"NUMBER_OF_PROCESSES": -1})
o = Observer(system=system)
sp_res = o.rv(from_phase=start_phs,
to_phase=stop_phs,
phase_step=step,
method='radiometric')
sp_p = np.array(sp_res[1]['primary'])
sp_s = np.array(sp_res[1]['secondary'])
sp_p = sp_p[~np.isnan(sp_p)]
sp_s = sp_s[~np.isnan(sp_s)]
settings.configure(**{"NUMBER_OF_PROCESSES": 2})
mp_res = o.rv(from_phase=start_phs,
to_phase=stop_phs,
phase_step=step,
method='radiometric')
mp_p = np.array(mp_res[1]['primary'])
mp_s = np.array(mp_res[1]['secondary'])
mp_p = mp_p[~np.isnan(mp_p)]
mp_s = mp_s[~np.isnan(mp_s)]
self.assertTrue(
np.all((up.abs(sp_p - mp_p) / np.abs(np.max(sp_p))) < tol))
self.assertTrue(
np.all((up.abs(sp_s - mp_s) / np.abs(np.max(sp_s))) < tol))
def test_sun():
_passband = ['Generic.Bessell.B', 'Generic.Bessell.V']
TS = np.arange(3500, 50000, 500)
# for ld in ['logarithmic', 'square_root']:
settings.configure(REFLECTION_EFFECT=False)
reload(observer)
reload(system)
res = []
for t in TS:
try:
system_blueprint["primary"]["t_eff"] = t
bs = system.BinarySystem.from_json(system_blueprint)
o = observer.Observer(passband=_passband, system=bs)
lc = o.observe.lc(phases=[0.5])
b_v = pogsons_formula(lc[1]['Generic.Bessell.B'][-1],
lc[1]['Generic.Bessell.V'][-1])
res.append([t, b_v])
except Exception as e:
print(e)
x, y = np.array(res).T[1], np.array(res).T[0]
with open(f"cosine.sun.dat", "a") as f:
f.write(f"{repr(x)}\n")
f.write(f"{repr(y)}\n")
print()
def test_cicular_spotty_asynchronous_detached_system(self):
settings.configure(**{"MAX_SPOT_D_LONGITUDE": up.pi / 45.0})
bs = prepare_binary_system(PARAMS["detached-async"],
spots_primary=SPOTS_META["primary"])
self.do_comparison(bs,
"detached.circ.spotty.async.generic.bessel.v.json",
TOL, -0.2, 1.2, 0.2)
def test_interpolate_on_ld_grid_log(self):
settings.configure(
**{
"LIMB_DARKENING_LAW":
"logarithmic",
"LD_TABLES":
os.path.join(self.base_path, "data", "light_curves",
"limbdarkening")
})
temperature = np.array([5500, 5561, 5582, 5932])
log_g = np.array([4.2, 4.21, 4.223, 4.199]) - 2.0
metallicity = 0.0
passband = ["Generic.Bessell.V"]
expected_xlog = np.round(
np.array([0.776400, 0.772272, 0.770870, 0.747420]), 5)
expected_ylog = np.round(
np.array([0.204200, 0.211724, 0.214276, 0.251288]), 5)
obtained = ld.interpolate_on_ld_grid(temperature, log_g, metallicity,
passband)
obtained_xlog = np.round(obtained["Generic.Bessell.V"].xlog.values, 5)
obtained_ylog = np.round(obtained["Generic.Bessell.V"].ylog.values, 5)
self.assertTrue(np.all(expected_ylog == obtained_ylog))
self.assertTrue(np.all(expected_xlog == obtained_xlog))
def test_orbital_position_container_is_indempotent(self):
settings.configure(LD_TABLES=op.join(self.base_path, "data", "light_curves", "limbdarkening"))
system = OrbitalPositionContainer.from_binary_system(self.s, Position(0, 1.0, 0.0, 0.0, 0.0))
system.build(components_distance=1.0)
flatt_1 = system.flatt_it()
flatt_2 = system.flatt_it()
self.assertTrue(len(flatt_1.primary.points) == len(flatt_2.primary.points))
def setUp(self):
super(TestObserver, self).setUp()
self._data_path = pjoin(dirname(os.path.abspath(__file__)), "data",
"passband")
self._passband = 'Generic.Bessell.V'
self._bessel_v_df = pd.read_csv(
pjoin(self._data_path, f'{self._passband}.csv'))
settings.configure(**{"PASSBAND_TABLES": self._data_path})
def test__update_atlas_to_base_dir(self):
settings.configure(CK04_ATM_TABLES="x")
settings._update_atlas_to_base_dir()
ck_values = [
v for k, v in settings.ATLAS_TO_BASE_DIR.items()
if str(k).startswith("c")
]
self.assertTrue(np.all(ck_values == ['x'] * len(ck_values)))
def test_eccentric_system_approximation_two(self):
settings.configure(**APPROX_SETTINGS["approx_two"])
ec_params = PARAMS["eccentric"].copy()
ec_params["argument_of_periastron"] = 90 * u.deg
bs = prepare_binary_system(ec_params)
self.do_comparison(
bs, "detached.ecc.sync.generic.bessell.v.appx_two.json", TOL, -0.2,
1.15, 0.05)
def setUp(self):
super(IndempotenceTestCase, self).setUp()
self.s = testutils.prepare_binary_system(testutils.BINARY_SYSTEM_PARAMS['detached-physical'],
testutils.SPOTS_META["primary"])
self.s.primary.discretization_factor = up.radians(10)
self.single = testutils.prepare_single_system(testutils.SINGLE_SYSTEM_PARAMS['spherical'],
testutils.SPOTS_META["primary"])
self.base_path = op.dirname(op.abspath(__file__))
settings.configure(LD_TABLES=op.join(self.base_path, "data", "light_curves", "limbdarkening"))
def setUp(self):
super(CompareApproxVsExact, self).setUp()
self.lc_base_path = op.join(op.dirname(op.abspath(__file__)), "data",
"light_curves")
settings.configure(
**{
"LD_TABLES": op.join(self.lc_base_path, "limbdarkening"),
"CK04_ATM_TABLES": op.join(self.lc_base_path, "atmosphere")
})
def setUp(self):
super(BinaryRadialCurvesConsistencyTestCase, self).setUp()
self.lc_base_path = op.join(op.dirname(op.abspath(__file__)), "data",
"light_curves")
settings.configure(
**{
"LD_TABLES": op.join(self.lc_base_path, "limbdarkening"),
"CK04_ATM_TABLES": op.join(self.lc_base_path, "atmosphere")
})
def test_eccentric_system_approximation_three(self):
settings.configure(**APPROX_SETTINGS["approx_three"])
with open(self.CONFIG_FILE, "a") as f:
f.write(
f"[computational]"
f"\npoints_on_ecc_orbit={settings.POINTS_ON_ECC_ORBIT}"
f"\nmax_relative_d_r_point={settings.MAX_RELATIVE_D_R_POINT}")
bs = prepare_binary_system(PARAMS["eccentric"])
self.do_comparison(bs, 0.0, 0.01, 0.002, tol=1e-4)
def test_ATLAS_TO_BASE_DIR(self):
settings.configure(**{
"CK04_ATM_TABLES": os.path.join(os.path.dirname(os.path.abspath(__file__)), 'ck04'),
"K93_ATM_TABLES": os.path.join(os.path.dirname(os.path.abspath(__file__)), 'k93')
})
supplied = ["castelli", "castelli-kurucz", "ck", "ck04", "kurucz", "k93", "k"]
expected = [os.path.join(os.path.dirname(os.path.abspath(__file__)), 'ck04')] * 4 + \
[os.path.join(os.path.dirname(os.path.abspath(__file__)), 'k93')] * 3
obtained = [settings.ATLAS_TO_BASE_DIR[s] for s in supplied]
assert_array_equal(obtained, expected)
def test_eccentric_system_approximation_two(self):
settings.configure(**APPROX_SETTINGS["approx_two"])
ec_params = PARAMS["eccentric"].copy()
ec_params["argument_of_periastron"] = 90 * u.deg
bs = prepare_binary_system(ec_params)
self.do_comparison(bs,
"detached.ecc.appx_two.json",
start_phs=-0.2,
stop_phs=1.2,
step=0.05)
def setUp(self):
super(BuildSpottyTemperatureTestCase, self).setUp()
settings.configure(
**{
"LIMB_DARKENING_LAW":
"linear",
"LD_TABLES":
op.join(op.dirname(op.abspath(__file__)), "data",
"light_curves", "limbdarkening")
})
def test_resolve_object_geometry_update(self):
settings.configure(**{"MAX_RELATIVE_D_R_POINT": 0.1})
rel_d_radii = np.array(
[[0.05, 0.04, 0.02, 0.01, 0.1, 1.1, 98, 0.00001],
[0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.12]])
expected = np.array(
[True, False, False, True, False, True, True, True, True],
dtype=bool)
obtained = dynamic.resolve_object_geometry_update(
False, rel_d_radii.shape[1] + 1, rel_d_radii)
self.assertTrue(np.all(expected == obtained))
def test_rv_consistency_eccentric_approx_zero(self):
# reload_modules()
settings.configure(**{
"POINTS_ON_ECC_ORBIT": -1,
"MAX_RELATIVE_D_R_POINT": 0.0
})
phases = np.array([0.15, 0.2, 0.25, 0.3, 0.4, 0.7, 0.75, 0.8, 0.85])
binary_kwargs = copy(BINARY_SYSTEM_PARAMS["detached-physical"])
binary_kwargs['inclination'] = 70.0 * u.deg
binary_kwargs['eccentricity'] = 0.3
self.check_consistency(binary_kwargs, 0.005, phases=phases)
def test_circulcar_spotty_async_lc(self):
settings.configure(**{"MAX_SPOT_D_LONGITUDE": up.pi / 45.0})
# write config for stupid windows multiprocessing
with open(self.CONFIG_FILE, "a") as f:
f.write(f"[computational]"
f"\nmax_spot_d_longitude={settings.MAX_SPOT_D_LONGITUDE}"
f"\n")
bs = prepare_binary_system(PARAMS["detached-async"],
spots_primary=SPOTS_META["primary"])
self.do_comparison(bs)
def setUp(self):
super(CompareSingleVsMultiprocess, self).setUp()
self.lc_base_path = op.join(op.dirname(op.abspath(__file__)), "data",
"light_curves")
settings.configure(
**{
"LD_TABLES": op.join(self.lc_base_path, "limbdarkening"),
"CK04_ATM_TABLES": op.join(self.lc_base_path, "atmosphere")
})
self.write_default_support(ld_tables=settings.LD_TABLES,
atm_tables=settings.CK04_ATM_TABLES)
def setUp(self):
super(ComputeLightCurvesTestCase, self).setUp()
self.base_path = op.join(op.dirname(op.abspath(__file__)), "data",
"light_curves")
settings.configure(
**{
"LD_TABLES": op.join(self.base_path, "limbdarkening"),
"CK04_ATM_TABLES": op.join(self.base_path, "atmosphere"),
"ATM_ATLAS": "ck04",
"LIMB_DARKENING_LAW": "linear"
})
def test_eccentric_system_approximation_two(self):
settings.configure(**APPROX_SETTINGS["approx_two"])
settings.configure(**{"MAX_RELATIVE_D_R_POINT": 0.0})
with open(self.CONFIG_FILE, "a") as f:
f.write(
f"[computational]"
f"\nmax_supplementar_d_distance={settings.MAX_SUPPLEMENTAR_D_DISTANCE}"
f"\npoints_on_ecc_orbit={settings.POINTS_ON_ECC_ORBIT}"
f"\nmax_relative_d_r_point={settings.MAX_RELATIVE_D_R_POINT}"
f"\n")
bs = prepare_binary_system(PARAMS["eccentric"])
self.do_comparison(bs, start_phs=-0.2, stop_phs=1.2, step=0.1)
def test_get_ld_table_by_name(self):
settings.configure(
**{"LD_TABLES": os.path.join(self.base_path, "data", "vh93")})
filenames = ["lin.Generic.Bessell.B.m02.csv", "log.Kepler.m40.csv"]
expected = self.expected_ld_tables()
obtained = [ld.get_ld_table_by_name(file) for file in filenames]
for e, o in zip(expected, obtained):
assert_frame_equal(e,
o,
check_less_precise=True,
check_dtype=False,
check_exact=True)
def test_get_ld_table_by_name_same_as_get_ld_table(self):
settings.configure(
**{"LD_TABLES": os.path.join(self.base_path, "data", "vh93")})
params = [
dict(passband="Generic.Bessell.B", metallicity=-0.2, law="cosine"),
dict(passband="Kepler", metallicity=-4, law="logarithmic")
]
filenames = ["lin.Generic.Bessell.B.m02.csv", "log.Kepler.m40.csv"]
obtained_by_params = [ld.get_ld_table(**param) for param in params]
obtained_by_filename = [
ld.get_ld_table_by_name(file) for file in filenames
]
for o1, o2 in zip(obtained_by_filename, obtained_by_params):
assert_frame_equal(o1, o2)
def test_visible_indices_when_darkside_filter_apply(self):
settings.configure(
**{
"LD_TABLES": op.join(self.lc_base_path, "limbdarkening"),
"CK04_ATM_TABLES": op.join(self.lc_base_path, "atmosphere")
})
bs = prepare_binary_system(BINARY_SYSTEM_PARAMS['detached-physical'])
from_this = dict(binary_system=bs,
position=const.Position(0, 1.0, 0.0, 0.0, 0.0))
system = OrbitalPositionContainer.from_binary_system(**from_this)
system.build(components_distance=1.0)
system.calculate_face_angles(line_of_sight=const.LINE_OF_SIGHT)
system.apply_darkside_filter()
self.assertTrue((not is_empty(system.primary.indices))
and (not is_empty(system.secondary.indices)))
def generator_test_temperatures(self, key, allowed_range=None):
settings.configure(
**{
"LIMB_DARKENING_LAW":
"linear",
"LD_TABLES":
op.join(op.dirname(op.abspath(__file__)), "data",
"light_curves", "limbdarkening")
})
s = testutils.prepare_binary_system(
testutils.BINARY_SYSTEM_PARAMS[key])
s.primary.discretization_factor = up.radians(10)
s.secondary.discretization_factor = up.radians(10)
orbital_position_container = testutils.prepare_orbital_position_container(
s)
orbital_position_container.build_mesh(components_distance=1.0)
orbital_position_container.build_faces(components_distance=1.0)
orbital_position_container.build_surface_areas()
orbital_position_container.build_surface_gravity(
components_distance=1.0)
orbital_position_container.build_faces_orientation(
components_distance=1.0)
orbital_position_container.build_temperature_distribution(
components_distance=1.0)
print()
i = np.argsort(orbital_position_container.secondary.temperatures)
print(orbital_position_container.secondary.points[
orbital_position_container.secondary.faces[i[:10]]])
print()
if allowed_range:
obtained_primary = [
np.min(orbital_position_container.primary.temperatures),
np.max(orbital_position_container.primary.temperatures)
]
obtained_secondary = [
np.min(orbital_position_container.secondary.temperatures),
np.max(orbital_position_container.secondary.temperatures)
]
self.assertTrue((obtained_primary[0] >= allowed_range[0][0])
& (obtained_primary[1] <= allowed_range[0][1]))
self.assertTrue((obtained_secondary[0] >= allowed_range[1][0])
& (obtained_secondary[1] <= allowed_range[1][1]))
def test_get_ld_table(self):
settings.configure(
LD_TABLES=os.path.join(self.base_path, "data", "vh93"))
params = [
dict(passband="Generic.Bessell.B", metallicity=-0.2, law="cosine"),
dict(passband="Kepler", metallicity=-4, law="logarithmic")
]
expected = self.expected_ld_tables()
obtained = [ld.get_ld_table(**param) for param in params]
for e, o in zip(expected, obtained):
assert_frame_equal(e,
o,
check_less_precise=True,
check_dtype=False,
check_exact=True)
def test_resolve_spots_geometry_update():
settings.configure(**{"MAX_SPOT_D_LONGITUDE": 0.06})
spots_longitudes = {
'primary': {
0: np.array([0.5, 0.55, 0.6, 0.75, 0.76, 0.77]),
1: np.array([0.5, 0.55, 0.6, 0.75, 0.76, 0.77]) - 0.1
},
'secondary': {}
}
pulsation_tests = {'primary': False, 'secondary': False}
obtained = np.array(dynamic.resolve_spots_geometry_update(
spots_longitudes, 6, pulsation_tests),
dtype=bool)
expected = np.array(
[[True, False, True, True, False, False], [True] + [False] * 5],
dtype=bool)
assert_array_equal(expected, obtained)
def test_interpolate_on_ld_grid_lin(self):
settings.configure(
**{
"LIMB_DARKENING_LAW": "cosine",
"LD_TABLES": os.path.join(self.base_path, "data", "ld_grid")
})
temperature = np.array([5500, 5561, 5582, 5932])
log_g = np.array([4.2, 4.21, 4.223, 4.199]) - 2.0
metallicity = -0.1
passband = ["Generic.Bessell.B"]
expected = np.array([0.7732, 0.76364, 0.76032, 0.70833])
obtained = ld.interpolate_on_ld_grid(temperature, log_g, metallicity,
passband)
obtained = np.round(obtained["Generic.Bessell.B"].xlin.values, 5)
self.assertTrue(np.all(obtained - expected) < 1e-5)
def test_light_curve_pass_on_all_ld_law(self):
"""
no assert here, it just has to pass without error
"""
bs = prepare_binary_system(PARAMS["detached"])
start_phs, stop_phs, step = -0.2, 1.2, 0.1
# idea is to update configuration content for problematic values in default configuration file
content_tempalte = "[physics]limb_darkening_law={ld_law}"
for law in settings.LD_LAW_TO_FILE_PREFIX.keys():
settings.configure(**{"LIMB_DARKENING_LAW": law})
self.write_default_support(ld_tables=settings.LD_TABLES,
atm_tables=settings.CK04_ATM_TABLES)
with open(self.CONFIG_FILE, "a") as f:
f.write(content_tempalte.format(ld_law=law))
o = Observer(passband=['Generic.Bessell.V'], system=bs)
o.lc(from_phase=start_phs, to_phase=stop_phs, phase_step=step)
def test_approximation_one(self):
bs = prepare_binary_system(PARAMS["eccentric"])
phase_step = 1.0 / 120
settings.configure(**APPROX_SETTINGS["approx_one"])
settings.configure(**{"NUMBER_OF_PROCESSES": 4})
o = Observer(passband=['Generic.Bessell.V'], system=bs)
ap_res = o.lc(from_phase=-0.1, to_phase=1.1, phase_step=phase_step)
ap_flux = normalize_lc_for_unittests(ap_res[1]["Generic.Bessell.V"])
# ap_flux = ap_res[1]["Generic.Bessell.V"]
settings.configure(**APPROX_SETTINGS["no_approx"])
o = Observer(passband=['Generic.Bessell.V'], system=bs)
ex_res = o.lc(from_phase=-0.1, to_phase=1.1, phase_step=phase_step)
ex_flux = normalize_lc_for_unittests(ex_res[1]["Generic.Bessell.V"])
# ex_flux = ex_res[1]["Generic.Bessell.V"]
# import matplotlib.pyplot as plt
# plt.plot(ex_res[0], ex_flux, label='exact')
# plt.plot(ap_res[0], ap_flux, label='approx')
# plt.plot(ap_res[0], ex_flux-ap_flux+1, label='diff')
# plt.legend()
# plt.show()
self.assertTrue(np.all(ex_flux - ap_flux < 3e-3))
