def model_magnification(self, telescope, pyLIMA_parameters):
""" The magnification associated to a DSPL model.
From Hwang et al 2013 : http://iopscience.iop.org/article/10.1088/0004-637X/778/1/55/pdf
:param object telescope: a telescope object. More details in telescope module.
:param object pyLIMA_parameters: a namedtuple which contain the parameters
:return: magnification, impact_parameter
:rtype: array_like,array_like
"""
source1_trajectory = self.source_trajectory(telescope, pyLIMA_parameters.to, pyLIMA_parameters.uo,
pyLIMA_parameters.tE, pyLIMA_parameters)
to2 = pyLIMA_parameters.to + pyLIMA_parameters.delta_to
uo2 = pyLIMA_parameters.delta_uo + pyLIMA_parameters.uo
source2_trajectory = self.source_trajectory(telescope, to2, uo2,
pyLIMA_parameters.tE, pyLIMA_parameters)
source1_magnification = microlmagnification.amplification_PSPL(*source1_trajectory)
source2_magnification = microlmagnification.amplification_PSPL(*source2_trajectory)
blend_magnification_factor = getattr(pyLIMA_parameters, 'q_flux_' + telescope.filter)
effective_magnification = (source1_magnification + source2_magnification * blend_magnification_factor) / (
1 + blend_magnification_factor)
return effective_magnification
def model_magnification(self, telescope, pyLIMA_parameters):
""" The magnification associated to a DSPL model.
From Hwang et al 2013 : http://iopscience.iop.org/article/10.1088/0004-637X/778/1/55/pdf
:param object telescope: a telescope object. More details in telescope module.
:param object pyLIMA_parameters: a namedtuple which contain the parameters
:return: magnification, impact_parameter
:rtype: array_like,array_like
"""
source1_trajectory = self.source_trajectory(telescope, pyLIMA_parameters.to, pyLIMA_parameters.uo,
pyLIMA_parameters.tE, pyLIMA_parameters)
to2 = pyLIMA_parameters.to + pyLIMA_parameters.delta_to
uo2 = pyLIMA_parameters.delta_uo + pyLIMA_parameters.uo
source2_trajectory = self.source_trajectory(telescope, to2, uo2,
pyLIMA_parameters.tE, pyLIMA_parameters)
source1_magnification = microlmagnification.amplification_PSPL(*source1_trajectory)[0]
source2_magnification = microlmagnification.amplification_PSPL(*source2_trajectory)[0]
blend_magnification_factor = getattr(pyLIMA_parameters, 'q_flux_' + telescope.filter)
effective_magnification = (source1_magnification + source2_magnification * blend_magnification_factor) / (
1 + blend_magnification_factor)
return effective_magnification, source1_trajectory
def model_magnification(self, telescope, pyLIMA_parameters):
""" The magnification associated to a PSPL model. More details in microlmagnification module.
:param object telescope: a telescope object. More details in telescope module.
:param object pyLIMA_parameters: a namedtuple which contain the parameters
:return: magnification, impact_parameter
:rtype: array_like,array_like
"""
source_trajectoire = self.source_trajectory(telescope, pyLIMA_parameters.to, pyLIMA_parameters.uo,
pyLIMA_parameters.tE, pyLIMA_parameters)
return microlmagnification.amplification_PSPL(*source_trajectoire)
def model_magnification(self, telescope, pyLIMA_parameters):
""" The magnification associated to a PSPL model. More details in microlmagnification module.
:param object telescope: a telescope object. More details in telescope module.
:param object pyLIMA_parameters: a namedtuple which contain the parameters
:return: magnification, impact_parameter
:rtype: array_like,array_like
"""
source_trajectoire = self.source_trajectory(telescope, pyLIMA_parameters.to, pyLIMA_parameters.uo,
pyLIMA_parameters.tE, pyLIMA_parameters)
return microlmagnification.amplification_PSPL(*source_trajectoire)
def model_magnification(self, telescope, pyLIMA_parameters):
""" The magnification associated to a USBL model.
:param object telescope: a telescope object. More details in telescope module.
:param object pyLIMA_parameters: a namedtuple which contain the parameters
:return: magnification, impact_parameter
:rtype: array_like,array_like
"""
source_trajectoire = self.source_trajectory(telescope, pyLIMA_parameters.to, pyLIMA_parameters.uo,
pyLIMA_parameters.tE, pyLIMA_parameters)
magnification = np.zeros(len(source_trajectoire[0]))
# for key in self.model_dictionnary.keys()[:len(self.parameters_boundaries)]:
# param = getattr(pyLIMA_parameters, key)
# limits = self.parameters_boundaries[self.model_dictionnary[key]]
# if (param<limits[0]) | (limits[1]<param):
# magnification += 0.1*np.inf
# return magnification,magnification
if 'dsdt' in pyLIMA_parameters._fields:
separation = 10 ** pyLIMA_parameters.logs + \
microlorbitalmotion.orbital_motion_2D_separation_shift(self.orbital_motion_model[1],
telescope.lightcurve_flux[:, 0],
pyLIMA_parameters.dsdt)
else:
separation = np.array([10 ** pyLIMA_parameters.logs] * len(source_trajectoire[0]))
if self.USBL_windows:
index_USBL = np.where((telescope.lightcurve_flux[:, 0] < self.USBL_windows[1]) & (
telescope.lightcurve_flux[:, 0] > self.USBL_windows[0]))[0]
Xs = source_trajectoire[0][index_USBL]
Ys = source_trajectoire[1][index_USBL]
magnification_USBL = \
microlmagnification.amplification_USBL(separation[index_USBL], 10 ** pyLIMA_parameters.logq,
Xs, Ys, pyLIMA_parameters.rho,
tolerance=0.001)[0]
magnification[index_USBL] = magnification_USBL
index_PSPL = np.where((telescope.lightcurve_flux[:, 0] > self.USBL_windows[1]) | (
telescope.lightcurve_flux[:, 0] < self.USBL_windows[0]))[0]
magnification_PSPL = microlmagnification.amplification_PSPL(source_trajectoire[0][index_PSPL],
source_trajectoire[1][index_PSPL])[0]
magnification[index_PSPL] = magnification_PSPL
else:
Xs, Ys = source_trajectoire
magnification = \
microlmagnification.amplification_USBL(separation, 10 ** pyLIMA_parameters.logq,
Xs, Ys, pyLIMA_parameters.rho,
tolerance=0.001)[0]
return magnification, source_trajectoire
def model_magnification(self, telescope, pyLIMA_parameters):
""" The magnification associated to a USBL model.
:param object telescope: a telescope object. More details in telescope module.
:param object pyLIMA_parameters: a namedtuple which contain the parameters
:return: magnification, impact_parameter
:rtype: array_like,array_like
"""
source_trajectoire = self.source_trajectory(telescope, pyLIMA_parameters.to, pyLIMA_parameters.uo,
pyLIMA_parameters.tE, pyLIMA_parameters)
magnification = np.zeros(len(source_trajectoire[0]))
for key in self.model_dictionnary.keys()[:len(self.parameters_boundaries)]:
param = getattr(pyLIMA_parameters, key)
limits = self.parameters_boundaries[self.model_dictionnary[key]]
if (param<limits[0]) | (limits[1]<param):
magnification += 0.1
return magnification,magnification
if 'dsdt' in pyLIMA_parameters._fields:
separation = 10 ** pyLIMA_parameters.logs + \
microlorbitalmotion.orbital_motion_2D_separation_shift(self.orbital_motion_model[1],
telescope.lightcurve_flux[:, 0],
pyLIMA_parameters.dsdt)
else:
separation = np.array([10 ** pyLIMA_parameters.logs] * len(source_trajectoire[0]))
if self.USBL_windows:
index_USBL = np.where((telescope.lightcurve_flux[:, 0] < self.USBL_windows[1]) & (
telescope.lightcurve_flux[:, 0] > self.USBL_windows[0]))[0]
Xs = source_trajectoire[0][index_USBL]
Ys = source_trajectoire[1][index_USBL]
magnification_USBL = \
microlmagnification.amplification_USBL(separation[index_USBL], 10 ** pyLIMA_parameters.logq,
Xs, Ys, pyLIMA_parameters.rho,
tolerance=0.001)[0]
magnification[index_USBL] = magnification_USBL
index_PSPL = np.where((telescope.lightcurve_flux[:, 0] > self.USBL_windows[1]) | (
telescope.lightcurve_flux[:, 0] < self.USBL_windows[0]))[0]
magnification_PSPL = microlmagnification.amplification_PSPL(source_trajectoire[0][index_PSPL],
source_trajectoire[1][index_PSPL])[0]
magnification[index_PSPL] = magnification_PSPL
else:
Xs, Ys = source_trajectoire
magnification = \
microlmagnification.amplification_USBL(separation, 10 ** pyLIMA_parameters.logq,
Xs, Ys, pyLIMA_parameters.rho,
tolerance=0.001)[0]
return magnification, source_trajectoire
