def test_fit_lc_returns_correct_type(self) -> None:
"""Test the fit_lc function returns an ``SNModel`` instance for the fitted model"""
data = sncosmo.load_example_data()
model = SNModel('salt2')
with warnings.catch_warnings():
warnings.filterwarnings('ignore')
_, fitted_model = sncosmo.fit_lc(data, model, ['x0'])
self.assertIsInstance(fitted_model, SNModel)
def runTest() -> None:
data = sncosmo.load_example_data()
light_curve = LightCurve.from_sncosmo(data)
np.testing.assert_array_equal(data['time'], light_curve.time)
np.testing.assert_array_equal(data['band'], light_curve.band)
np.testing.assert_array_equal(data['flux'], light_curve.flux)
np.testing.assert_array_equal(data['fluxerr'], light_curve.fluxerr)
np.testing.assert_array_equal(data['zp'], light_curve.zp)
np.testing.assert_array_equal(data['zpsys'], light_curve.zpsys)
np.testing.assert_array_equal(0, light_curve.phot_flag)
def test_mcmc_lc_returns_correct_type(self) -> None:
"""Test the fit_lc function returns an ``SNModel`` instance for the fitted model"""
data = sncosmo.load_example_data()
model = SNModel('salt2-extended')
# Some sncosmo versions use deprecated emcee kwargs
with warnings.catch_warnings():
warnings.simplefilter('ignore')
_, fitted_model = sncosmo.mcmc_lc(data, model, ['x0'])
self.assertIsInstance(fitted_model, SNModel)
def test_to_pandas() -> None:
"""Test data returned by ``to_pandas`` matches data used to build the LightCurve"""
data = sncosmo.load_example_data().to_pandas('time')
data['phot_flag'] = 0.0
light_curve = LightCurve(time=data.index,
band=data['band'],
flux=data['flux'],
fluxerr=data['fluxerr'],
zp=data['zp'],
zpsys=data['zpsys'],
phot_flag=data['phot_flag'])
pd.testing.assert_frame_equal(data, light_curve.to_pandas())
def test_to_astropy() -> None:
"""Test data returned by ``to_astropy`` matches data used to build the LightCurve"""
data = sncosmo.load_example_data()
data['phot_flag'] = 0
light_curve = LightCurve(time=data['time'],
band=data['band'],
flux=data['flux'],
fluxerr=data['fluxerr'],
zp=data['zp'],
zpsys=data['zpsys'],
phot_flag=data['phot_flag'])
np.testing.assert_array_equal(data, light_curve.to_astropy())
def create_mock_light_curve() -> LightCurve:
"""Create a mock light-curve
Returns:
A LightCurve instance filled with dummy data
"""
data = sncosmo.load_example_data()
data['band'] = [b.replace('sdss', 'lsst_hardware_') for b in data['band']]
return LightCurve(time=data['time'],
band=data['band'],
flux=data['flux'],
fluxerr=data['fluxerr'],
zp=data['zp'],
zpsys=data['zpsys'])
wave = np.linspace(2000.0, 10000.0, 500)
for w in (0.0, 0.2, 0.4, 0.6, 0.8, 1.0):
source.set(w=w)
plt.plot(wave, source.flux(10., wave), label='w={:3.1f}'.format(w))
plt.legend()
plt.show()
##########################################################################
# The w=0 spectrum is that of the Ia model, the w=1 spectrum is that of
# the IIp model, while intermediate spectra are weighted combinations.
#
# We can even fit the model to some data!
model = sncosmo.Model(source=source)
data = sncosmo.load_example_data()
result, fitted_model = sncosmo.fit_lc(data,
model, ['z', 't0', 'amplitude', 'w'],
bounds={
'z': (0.2, 1.0),
'w': (0.0, 1.0)
})
sncosmo.plot_lc(data, model=fitted_model, errors=result.errors)
##########################################################################
# The fact that the fitted value of w is closer to 0 than 1 indicates that
# the light curve looks more like the Ia template than the IIp template.
# This is generally what we expected since the example data here was
# generated from a Ia template (although not the Nugent template!).
from matplotlib import pyplot as plt
wave = np.linspace(2000.0, 10000.0, 500)
for w in (0.0, 0.2, 0.4, 0.6, 0.8, 1.0):
source.set(w=w)
plt.plot(wave, source.flux(10., wave), label='w={:3.1f}'.format(w))
plt.legend()
plt.show()
##########################################################################
# The w=0 spectrum is that of the Ia model, the w=1 spectrum is that of
# the IIp model, while intermediate spectra are weighted combinations.
#
# We can even fit the model to some data!
model = sncosmo.Model(source=source)
data = sncosmo.load_example_data()
result, fitted_model = sncosmo.fit_lc(data, model,
['z', 't0', 'amplitude', 'w'],
bounds={'z': (0.2, 1.0),
'w': (0.0, 1.0)})
sncosmo.plot_lc(data, model=fitted_model, errors=result.errors)
##########################################################################
# The fact that the fitted value of w is closer to 0 than 1 indicates that
# the light curve looks more like the Ia template than the IIp template.
# This is generally what we expected since the example data here was
# generated from a Ia template (although not the Nugent template!).
def test_load_example_data():
data = sncosmo.load_example_data()
def test_load_example_data():
data = sncosmo.load_example_data()
