def do_comparison(self, system, filename, f_tol, start_phs, stop_phs,
step):
o = Observer(passband=['Generic.Bessell.V'], system=system)
obtained = o.lc(from_phase=start_phs,
to_phase=stop_phs,
phase_step=step)
obtained_phases = obtained[0]
obtained_flux = normalize_lc_for_unittests(
obtained[1]["Generic.Bessell.V"])
expected = load_light_curve(filename)
expected_phases = expected[0]
expected_flux = normalize_lc_for_unittests(
expected[1]["Generic.Bessell.V"])
# import matplotlib.pyplot as plt
# plt.plot(expected_phases, expected_flux, label='expected')
# plt.plot(obtained_phases, obtained_flux, label='obtained')
# plt.legend()
# plt.plot()
self.assertTrue(
np.all(up.abs(obtained_phases - expected_phases) < TOL))
self.assertTrue(np.all(up.abs(obtained_flux - expected_flux) < f_tol))
def test_spotty_single_system(self):
s = prepare_single_system(self.PARAMS['solar'],
spots=self.SPOTS_META["standard"])
o = Observer(passband=['Generic.Bessell.V'], system=s)
start_phs, stop_phs, step = -0.2, 1.2, 0.1
expected = load_light_curve("single.clear.v.json")
expected_phases = expected[0]
expected_flux = normalize_lc_for_unittests(
expected[1]["Generic.Bessell.V"])
obtained = o.lc(from_phase=start_phs,
to_phase=stop_phs,
phase_step=step)
obtained_phases = obtained[0]
obtained_flux = normalize_lc_for_unittests(
obtained[1]["Generic.Bessell.V"])
self.assertTrue(
np.all(
up.abs(
np.round(obtained_phases, 3) -
np.round(expected_phases, 3)) < TOL))
self.assertTrue(
np.all(
up.abs(
np.round(obtained_flux, 3) -
np.round(expected_flux, 3)) < TOL))
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_BinarySystem_phase_interval_reduce_has_pulsation(self):
s1 = SingleSystemMock(p=True, s=True)
s2 = SingleSystemMock(p=True, s=False)
o1 = Observer(self._passband, s1)
o2 = Observer(self._passband, s2)
o1._system_cls = SingleSystem
o2._system_cls = SingleSystem
phases = np.array([
-0.1, 0.0, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2,
3.5
])
obtained_ph1, obtained_ri1 = o1.phase_interval_reduce(phases)
obtained_ph2, obtained_ri2 = o2.phase_interval_reduce(phases)
expected_ph = phases
expected_ri = up.arange(0, 14, 1)
assert_array_equal(np.round(expected_ph, 2), np.round(obtained_ph1, 2))
assert_array_equal(np.round(expected_ph, 2), np.round(obtained_ph2, 2))
assert_array_equal(expected_ri, obtained_ri1)
assert_array_equal(expected_ri, obtained_ri2)
expected_phases = np.array(phases)
obtained_phases1 = obtained_ph1[obtained_ri1]
obtained_phases2 = obtained_ph2[obtained_ri2]
assert_array_equal(np.round(expected_phases, 2),
np.round(obtained_phases1, 2))
assert_array_equal(np.round(expected_phases, 2),
np.round(obtained_phases2, 2))
def get_data(data, phs):
binary = system.BinarySystem.from_json(data)
o = Observer(
passband=[ # defining passbands at which calculate a light curve
# 'Generic.Bessell.U',
'Generic.Bessell.B',
'Generic.Bessell.V',
'Generic.Bessell.R',
# 'Generic.Bessell.I',
],
system=binary
) # specifying the binary system to use in light curve synthesis
_ = o.lc(phases=phs)
def test_solar_constant(self):
s = prepare_single_system(SOLAR_MODEL)
o = Observer(passband=['bolometric'], system=s)
start_phs, stop_phs, step = 0.0, 0.1, 0.1
expected = 1361.0
obtained = o.lc(from_phase=start_phs,
to_phase=stop_phs,
phase_step=step)
obtained_flux = obtained[1]["bolometric"][0] / np.power(c.AU, 2)
np.testing.assert_almost_equal(obtained_flux, expected, decimal=0)
def test_setup_bandwidth(self):
passbands = ['Generic.Bessell.V', 'SLOAN.SDSS.g']
s = BinarySystemMock()
o = Observer(passbands, s)
expected = [3700.0, 7500.0]
obtained = [o.left_bandwidth, o.right_bandwidth]
assert_array_equal(expected, obtained)
def test_setup_bandwidth_bolometric_in(self):
passbands = ['Generic.Bessell.V', 'SLOAN.SDSS.g', 'bolometric']
s = BinarySystemMock()
o = Observer(passbands, s)
expected = [0.0, sys.float_info.max]
obtained = [o.left_bandwidth, o.right_bandwidth]
assert_array_equal(expected, obtained)
def test_init_passband_has_table(self):
s = BinarySystemMock()
o = Observer(self._passband, s)
expected = self._bessel_v_df
obtained = o.passband[self._passband].table
obtained[settings.PASSBAND_DATAFRAME_WAVE] = obtained[
settings.PASSBAND_DATAFRAME_WAVE] / 10.0
assert_frame_equal(expected, obtained)
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))
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
laws = settings.LD_LAW_TO_FILE_PREFIX.keys()
# idea is to update configuration content for problematic values in default configuration file
content_tempalte = "[physics]\n" \
"limb_darkening_law={ld_law}\n" \
"[computational]\n" \
"number_of_processes={cpu}\n"
for cpu_core in [-1, 2]:
for law in laws:
settings.configure(
**{
"NUMBER_OF_PROCESSES": cpu_core,
"LIMB_DARKENING_LAW": law,
"LD_TABLES": op.join(self.lc_base_path,
"limbdarkening"),
"CK04_ATM_TABLES": op.join(self.lc_base_path,
"atmosphere"),
"ATM_ATLAS": "ck04"
})
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, cpu=cpu_core))
o = Observer(system=bs)
o.rv(from_phase=start_phs,
to_phase=stop_phs,
phase_step=step,
method='radiometric')
if op.isfile(self.CONFIG_FILE):
os.remove(self.CONFIG_FILE)
def test_SingleSystem_phase_interval_reduce_with_spots_no_pulsation(self):
s = SingleSystemMock(p=False, s=True)
o = Observer(self._passband, s)
o._system_cls = SingleSystem
phases = np.array([
-0.1, 0.0, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2,
3.5
])
obtained_ph, obtained_ri = o.phase_interval_reduce(phases)
expected_ph = [0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9]
expected_ri = [9, 0, 2, 3, 4, 5, 6, 7, 8, 9, 0, 1, 2, 5]
assert_array_equal(np.round(expected_ph, 2), np.round(obtained_ph, 2))
assert_array_equal(expected_ri, obtained_ri)
expected_phases = np.array(phases) % 1
obtained_phases = obtained_ph[obtained_ri]
assert_array_equal(np.round(expected_phases, 2),
np.round(obtained_phases, 2))
def test_SingleSystem_phase_interval_on_clear_surface(self):
s = SingleSystemMock(p=False, s=False)
o = Observer(self._passband, s)
o._system_cls = SingleSystem
phases = np.array([
-0.1, 0.0, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2,
3.5
])
obtained_ph, obtained_ri = o.phase_interval_reduce(phases)
expected_ph = [0.0]
expected_ri = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
assert_array_equal(np.round(expected_ph, 2), np.round(obtained_ph, 2))
assert_array_equal(expected_ri, obtained_ri)
expected_phases = np.zeros(phases.shape)
obtained_phases = obtained_ph[obtained_ri]
assert_array_equal(np.round(expected_phases, 2),
np.round(obtained_phases, 2))
def do_comparison(self,
bs,
rv_file,
start_phs=-0.2,
stop_phs=1.2,
step=0.1):
o = Observer(system=bs)
obtained = o.rv(from_phase=start_phs,
to_phase=stop_phs,
phase_step=step,
method='radiometric')
obt_phs = obtained[0]
obt_p = np.array(obtained[1]['primary'])
obt_s = np.array(obtained[1]['secondary'])
obt_p = obt_p[~np.isnan(obt_p)]
obt_s = obt_s[~np.isnan(obt_s)]
expected = load_radial_curve(rv_file)
exp_phs = expected['phases']
exp_p = np.array(expected['primary'])
exp_s = np.array(expected['secondary'])
exp_p = exp_p[~np.isnan(exp_p)]
exp_s = exp_s[~np.isnan(exp_s)]
# from matplotlib import pyplot as plt
# # plt.plot(obt_phs, (obt_p-exp_p)/obt_p.max(), c='r')
# plt.plot(obt_phs, obt_p, c='r')
# plt.plot(exp_phs, exp_p, c='r', linestyle='dashed')
# # plt.plot(obt_phs, (obt_s-exp_s)/obt_p.max(), c='b')
# plt.plot(obt_phs, obt_s, c='b')
# plt.plot(exp_phs, exp_s, c='b', linestyle='dashed')
# plt.show()
self.assertTrue(np.all(up.abs(obt_phs - np.round(exp_phs, 3)) < TOL))
self.assertTrue(
np.all((up.abs(obt_p - exp_p) / np.abs(np.max(obt_p))) < TOL))
self.assertTrue(
np.all((up.abs(obt_s - exp_s) / np.abs(np.max(obt_s))) < TOL))
def check_consistency(binary_kwargs,
desired_delta,
spots_primary=None,
spots_secondary=None,
phases=None):
system = prepare_binary_system(binary_kwargs,
spots_primary=spots_primary,
spots_secondary=spots_secondary)
o = Observer(system=system)
_, rvdict1 = o.rv(phases=phases, method='radiometric')
_, rvdict2 = o.rv(phases=phases, method='point_mass')
rvdict1['primary'], rvdict1['secondary'] = normalize_lv_for_unittests(
rvdict1['primary'], rvdict1['secondary'])
rvdict2['primary'], rvdict2['secondary'] = normalize_lv_for_unittests(
rvdict2['primary'], rvdict2['secondary'])
assert_array_less(np.abs(rvdict1['primary'] - rvdict2['primary']),
desired_delta * np.ones(phases.shape))
assert_array_less(np.abs(rvdict2['secondary'] - rvdict2['secondary']),
desired_delta * np.ones(phases.shape))
def test_BinarySystem_phase_interval_reduce_has_pulsation_and_no_spots(
self):
s = BinarySystemMock(pp=False, sp=True)
o = Observer(self._passband, s)
o._system_cls = BinarySystem
phases = np.array([
-0.1, 0.0, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2,
3.5
])
obtained_ph, obtained_ri = o.phase_interval_reduce(phases)
expected_ph = phases
expected_ri = up.arange(0, 14, 1)
assert_array_equal(np.round(expected_ph, 2), np.round(obtained_ph, 2))
assert_array_equal(expected_ri, obtained_ri)
expected_phases = np.array(phases)
obtained_phases = obtained_ph[obtained_ri]
assert_array_equal(np.round(expected_phases, 2),
np.round(obtained_phases, 2))
def do_comparison(self,
system,
start_phs=-0.2,
stop_phs=1.2,
step=0.1,
tol=1e-8):
o = Observer(passband=['Generic.Bessell.V'], system=system)
sp_res = o.lc(from_phase=start_phs, to_phase=stop_phs, phase_step=step)
sp_flux = normalize_lc_for_unittests(sp_res[1]["Generic.Bessell.V"])\
settings.configure(**{"NUMBER_OF_PROCESSES": 2})
mp_res = o.lc(from_phase=start_phs, to_phase=stop_phs, phase_step=step)
mp_flux = normalize_lc_for_unittests(mp_res[1]["Generic.Bessell.V"])
# print(np.max(sp_flux - mp_flux))
#
# import matplotlib.pyplot as plt
# plt.plot(sp_res[0], sp_flux, label='single')
# plt.plot(mp_res[0], mp_flux, label='multi')
# plt.legend()
# plt.show()
self.assertTrue(np.all(sp_flux - mp_flux < tol))
def test_rvs_from_binary_system_instance_are_same(self):
s = prepare_binary_system(BINARY_SYSTEM_PARAMS["detached.ecc"])
s.inclination = 1.1
s.init()
std_rvdict = rv.com_radial_velocity(s, position_method=s.calculate_orbital_motion, phases=self.phases)
asini = np.float64((s.semi_major_axis * np.sin(s.inclination) * u.m).to(u.solRad))
rv_system = RadialVelocitySystem(eccentricity=s.eccentricity,
argument_of_periastron=np.degrees(s.argument_of_periastron),
period=s.period,
mass_ratio=s.mass_ratio,
asini=asini,
gamma=s.gamma)
o = Observer(passband='bolometric', system=rv_system)
phases, com_rv_dict = o.observe.rv(phases=self.phases, method='point_mass')
self.assertTrue(np.all(np.abs(std_rvdict['primary'] - com_rv_dict['primary']) < TOL))
self.assertTrue(np.all(np.abs(std_rvdict['secondary'] - com_rv_dict['secondary']) < TOL))
def test_approximation_two(self):
bs = prepare_binary_system(PARAMS["eccentric"])
settings.configure(**APPROX_SETTINGS["approx_two"])
settings.configure(**{"NUMBER_OF_PROCESSES": 4})
o = Observer(system=bs)
ap_res = o.rv(from_phase=-0.1,
to_phase=1.1,
phase_step=0.01,
method='radiometric')
ap_p = np.array(ap_res[1]['primary'])
ap_s = np.array(ap_res[1]['secondary'])
ap_p = ap_p[~np.isnan(ap_p)]
ap_s = ap_s[~np.isnan(ap_s)]
settings.configure(**APPROX_SETTINGS["no_approx"])
o = Observer(system=bs)
ex_res = o.rv(from_phase=-0.1,
to_phase=1.1,
phase_step=0.01,
method='radiometric')
ex_p = np.array(ex_res[1]['primary'])
ex_s = np.array(ex_res[1]['secondary'])
ex_p = ex_p[~np.isnan(ex_p)]
ex_s = ex_s[~np.isnan(ex_s)]
# import matplotlib.pyplot as plt
# plt.plot(ex_res[0], ex_p / ex_s.max())
# plt.plot(ex_res[0], ap_p / ex_s.max())
# plt.plot(ex_res[0], ex_s / ex_s.max())
# plt.plot(ex_res[0], ap_s / ex_s.max())
# plt.plot(ex_res[0], (ex_p - ap_p) / ex_s.max(), label='primary')
# plt.plot(ex_res[0], (ex_s - ap_s) / ex_s.max(), label='secondary')
# plt.legend()
# plt.show()
self.assertTrue(
np.all((up.abs(ex_p - ap_p) / np.abs(np.max(ex_s))) < 3e-3))
self.assertTrue(
np.all((up.abs(ex_s - ap_s) / np.abs(np.max(ex_s))) < 3e-3))
gamma=-41.7 * u.km / u.s,
period=0.7949859 * u.d,
eccentricity=0.25,
# eccentricity=0,
inclination=85 * u.deg,
primary_minimum_time=2440862.60793 * u.d,
phase_shift=0.0,
)
print('Elapsed time during system build: {:.6f}'.format(time() - star_time))
o = Observer(passband=['Generic.Bessell.V',
# 'Generic.Bessell.B',
# 'Generic.Bessell.U',
# 'Generic.Bessell.R',
# 'Generic.Bessell.I',
],
system=bs)
start_phs = -0.6
stop_phs = 0.6
step = 0.005
settings.POINTS_ON_ECC_ORBIT = 50
start_time = time()
for _ in range(N):
curves_approx1 = o.lc(from_phase=start_phs,
to_phase=stop_phs,
phase_step=step,
)
data = get_params('data/wide_binary.json')
surface_discredizations = [10, 7, 5, 3]
curves = [None for _ in surface_discredizations]
phases = None
for ii, alpha in enumerate(surface_discredizations):
data['primary']['discretization_factor'] = alpha
binary = system.BinarySystem.from_json(data)
o = Observer(
passband=[ # defining passbands at which calculate a light curve
# 'Generic.Bessell.U',
# 'Generic.Bessell.B',
'Generic.Bessell.V',
# 'Generic.Bessell.R',
# 'Generic.Bessell.I',
],
system=binary
) # specifying the binary system to use in light curve synthesis
phases, curves[ii] = o.lc(
from_phase=-0.5,
to_phase=0.5,
phase_step=0.005,
# phase_step=0.01,
# normalize=True,
)
curves[ii] = curves[ii]['Generic.Bessell.V']
y_data = curves[ii] / np.mean(curves[ii])
mean = np.sqrt(np.mean(np.power(y_data - 1, 2)))
)
# pick only one
filters = [
# 'Generic.Bessell.U',
# 'Generic.Bessell.B',
# 'Generic.Bessell.V',
'Generic.Bessell.R',
# 'Generic.Bessell.I',
]
lc_kwargs = {"from_phase": -0.6,
"to_phase": 0.6,
"phase_step": 0.005,
"normalize": True}
o = Observer(passband=filters,
system=bs)
# light curve of clear system
phases, clr_curve = o.lc(**lc_kwargs)
bs.primary.spots = simple_spot
bs.init()
o = Observer(passband=filters,
system=bs)
# light curve with simple spot
_, simple_curve = o.lc(**lc_kwargs)
composite_curves = []
for ii, r in enumerate(radius):
bs.primary.spots = composite_spots[ii]
def test_init_passband_str_vs_list(self):
s = BinarySystemMock()
o_str = Observer(self._passband, s)
o_lst = Observer([self._passband], s)
self.assertEqual(len(o_str.passband), len(o_lst.passband))
def test__systemc_cls(self):
s = BinarySystemMock()
o = Observer(self._passband, s)
self.assertEqual(o._system_cls, BinarySystemMock)
def test_get_passband_df(self):
obtained = Observer.get_passband_df(self._passband)
obtained[settings.PASSBAND_DATAFRAME_WAVE] = obtained[
settings.PASSBAND_DATAFRAME_WAVE] / 10.0
assert_frame_equal(obtained, self._bessel_v_df)
