def generateWfparameters(opts):
'''Turn parameters specified by input file and/or command line options into
parameter dictionary that can be used for waveform generation.'''
optsDict = vars(opts)
inputpar = copy.deepcopy(optsDict)
inputpar['m1'] *= lal.MSUN_SI
inputpar['m2'] *= lal.MSUN_SI
inputpar['distance'] *= (1.e6 * lal.PC_SI)
inputpar['approximant'] = lalsim.GetApproximantFromString(
inputpar['approximant'])
if (inputpar['sampleRate'] != defSampleRate):
inputpar['deltaT'] = 1./inputpar['sampleRate']
optsDict['deltaT'] = inputpar['deltaT']
domain = optsDict['domain']
wfinputpar=[inputpar[name] for name in paramnames[domain]]
LALpars=lal.CreateDict()
if (inputpar['lambda1']):
lalsim.SimInspiralWaveformParamsInsertTidalLambda1(LALpars,inputpar['lambda1'])
if (inputpar['lambda2']):
lalsim.SimInspiralWaveformParamsInsertTidalLambda2(LALpars,inputpar['lambda2'])
if (inputpar['ampOrder']!=-1):
lalsim.SimInspiralWaveformParamsInsertPNAmplitudeOrder(LALpars,inputpar['ampOrder'])
if (inputpar['phaseOrder']!=-1):
lalsim.SimInspiralWaveformParamsInsertPNPhaseOrder(LALpars,inputpar['phaseOrder'])
wfinputpar.append(LALpars)
wfinputpar.append(inputpar['approximant'])
return domain, wfinputpar, optsDict
def _lalsim_fd_waveform(**p):
lal_pars = lal.CreateDict()
if p['phase_order'] != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNPhaseOrder(
lal_pars, int(p['phase_order']))
if p['amplitude_order'] != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNAmplitudeOrder(
lal_pars, int(p['amplitude_order']))
if p['spin_order'] != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNSpinOrder(
lal_pars, int(p['spin_order']))
if p['tidal_order'] != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNTidalOrder(
lal_pars, p['tidal_order'])
if p['eccentricity_order'] != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNEccentricityOrder(
lal_pars, p['eccentricity_order'])
if p['lambda1']:
lalsimulation.SimInspiralWaveformParamsInsertPNTidalLambda1(
lal_pars, p['lambda1'])
if p['lambda2']:
lalsimulation.SimInspiralWaveformParamsInsertPNTidalLambda2(
lal_pars, p['lambda2'])
if p['dquad_mon1']:
lalsimulation.SimInspiralWaveformParamsInsertPNTidaldQuadMon1(
lal_pars, p['dquad_mon1'])
if p['dquad_mon2']:
lalsimulation.SimInspiralWaveformParamsInsertPNTidaldQuadMon2(
lal_pars, p['dquad_mon2'])
if p['numrel_data']:
lalsimulation.SimInspiralWaveformParamsInsertNumRelData(
lal_pars, str(p['numrel_data']))
if p['modes_choice']:
lalsimulation.SimInspiralWaveformParamsInsertModesChoice(
lal_pars, p['modes_choice'])
if p['frame_axis']:
lalsimulation.SimInspiralWaveformParamsInsertFrameAxis(
lal_pars, p['frame_axis'])
if p['side_bands']:
lalsimulation.SimInspiralWaveformParamsInsertSideband(
lal_pars, p['side_bands'])
#nonGRparams can be straightforwardly added if needed, however they have to
# be invoked one by one
hp1, hc1 = lalsimulation.SimInspiralChooseFDWaveform(
float(pnutils.solar_mass_to_kg(p['mass1'])),
float(pnutils.solar_mass_to_kg(p['mass2'])), float(p['spin1x']),
float(p['spin1y']), float(p['spin1z']), float(p['spin2x']),
float(p['spin2y']), float(p['spin2z']),
pnutils.megaparsecs_to_meters(float(p['distance'])),
float(p['inclination']), float(p['coa_phase']),
float(p['long_asc_nodes']), float(p['eccentricity']),
float(p['mean_per_ano']), p['delta_f'], float(p['f_lower']),
float(p['f_final']), float(p['f_ref']), lal_pars,
_lalsim_enum[p['approximant']])
hp = FrequencySeries(hp1.data.data[:], delta_f=hp1.deltaF, epoch=hp1.epoch)
hc = FrequencySeries(hc1.data.data[:], delta_f=hc1.deltaF, epoch=hc1.epoch)
#lal.DestroyDict(lal_pars)
return hp, hc
def _check_lal_pars(p):
""" Create a laldict object from the dictionary of waveform parameters
Parameters
----------
p: dictionary
The dictionary of lalsimulation paramaters
Returns
-------
laldict: LalDict
The lal type dictionary to pass to the lalsimulation waveform functions.
"""
lal_pars = lal.CreateDict()
#nonGRparams can be straightforwardly added if needed, however they have to
# be invoked one by one
if p['phase_order'] != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNPhaseOrder(
lal_pars, int(p['phase_order']))
if p['amplitude_order'] != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNAmplitudeOrder(
lal_pars, int(p['amplitude_order']))
if p['spin_order'] != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNSpinOrder(
lal_pars, int(p['spin_order']))
if p['tidal_order'] != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNTidalOrder(
lal_pars, p['tidal_order'])
if p['eccentricity_order'] != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNEccentricityOrder(
lal_pars, p['eccentricity_order'])
if p['lambda1']:
lalsimulation.SimInspiralWaveformParamsInsertTidalLambda1(
lal_pars, p['lambda1'])
if p['lambda2']:
lalsimulation.SimInspiralWaveformParamsInsertTidalLambda2(
lal_pars, p['lambda2'])
if p['dquad_mon1']:
lalsimulation.SimInspiralWaveformParamsInsertdQuadMon1(
lal_pars, p['dquad_mon1'])
if p['dquad_mon2']:
lalsimulation.SimInspiralWaveformParamsInsertdQuadMon2(
lal_pars, p['dquad_mon2'])
if p['numrel_data']:
lalsimulation.SimInspiralWaveformParamsInsertNumRelData(
lal_pars, str(p['numrel_data']))
if p['modes_choice']:
lalsimulation.SimInspiralWaveformParamsInsertModesChoice(
lal_pars, p['modes_choice'])
if p['frame_axis']:
lalsimulation.SimInspiralWaveformParamsInsertFrameAxis(
lal_pars, p['frame_axis'])
if p['side_bands']:
lalsimulation.SimInspiralWaveformParamsInsertSideband(
lal_pars, p['side_bands'])
return lal_pars
def sngl_inspiral_psd(sngl, waveform, f_min=10, f_max=2048, f_ref=0):
# FIXME: uberbank mass criterion. Should find a way to get this from
# pipeline output metadata.
if waveform == 'o1-uberbank':
log.warn('Template is unspecified; using ER8/O1 uberbank criterion')
if sngl.mass1 + sngl.mass2 < 4:
waveform = 'TaylorF2threePointFivePN'
else:
waveform = 'SEOBNRv2_ROM_DoubleSpin'
approx, ampo, phaseo = get_approximant_and_orders_from_string(waveform)
log.info('Selected template: %s', waveform)
# Generate conditioned template.
params = lal.CreateDict()
lalsimulation.SimInspiralWaveformParamsInsertPNPhaseOrder(params, phaseo)
lalsimulation.SimInspiralWaveformParamsInsertPNAmplitudeOrder(params, ampo)
hplus, hcross = lalsimulation.SimInspiralFD(
m1=sngl.mass1*lal.MSUN_SI, m2=sngl.mass2*lal.MSUN_SI,
S1x=getattr(sngl, 'spin1x', 0) or 0,
S1y=getattr(sngl, 'spin1y', 0) or 0,
S1z=getattr(sngl, 'spin1z', 0) or 0,
S2x=getattr(sngl, 'spin2x', 0) or 0,
S2y=getattr(sngl, 'spin2y', 0) or 0,
S2z=getattr(sngl, 'spin2z', 0) or 0,
distance=1e6*lal.PC_SI, inclination=0, phiRef=0,
longAscNodes=0, eccentricity=0, meanPerAno=0,
deltaF=0, f_min=f_min, f_max=f_max, f_ref=f_ref,
LALparams=params, approximant=approx)
# Force `plus' and `cross' waveform to be in quadrature.
h = 0.5 * (hplus.data.data + 1j * hcross.data.data)
# For inspiral-only waveforms, nullify frequencies beyond ISCO.
# FIXME: the waveform generation functions pick the end frequency
# automatically. Shouldn't SimInspiralFD?
inspiral_only_waveforms = (
lalsimulation.TaylorF2,
lalsimulation.SpinTaylorF2,
lalsimulation.TaylorF2RedSpin,
lalsimulation.TaylorF2RedSpinTidal,
lalsimulation.SpinTaylorT4Fourier)
if approx in inspiral_only_waveforms:
h[abscissa(hplus) >= get_f_lso(sngl.mass1, sngl.mass2)] = 0
# Drop Nyquist frequency.
if len(h) % 2:
h = h[:-1]
# Create output frequency series.
psd = lal.CreateREAL8FrequencySeries(
'signal PSD', 0, hplus.f0, hcross.deltaF, hplus.sampleUnits**2, len(h))
psd.data.data = abs2(h)
# Done!
return psd
def _compute_waveform(self, df, f_final):
phi0 = 0 # This is a reference phase, and not an intrinsic parameter
LALpars = lal.CreateDict()
lalsim.SimInspiralWaveformParamsInsertPNAmplitudeOrder(LALpars, 0)
lalsim.SimInspiralWaveformParamsInsertPNPhaseOrder(LALpars, 7)
lalsim.SimInspiralWaveformParamsInsertPNSpinOrder(LALpars, 5)
approx = lalsim.GetApproximantFromString(self.approx_name)
hplus_fd, hcross_fd = lalsim.SimInspiralChooseFDWaveform(
self.m1 * MSUN_SI, self.m2 * MSUN_SI, 0., 0., self.spin1z, 0., 0.,
self.spin2z, 1.e6 * PC_SI, 0., phi0, 0., 0., 0., df, self.flow,
f_final, self.flow, LALpars, approx)
# Must set values greater than _get_f_final to 0
act_f_max = self._get_f_final()
f_max_idx = int(act_f_max / df + 0.999)
hplus_fd.data.data[f_max_idx:] = 0
return hplus_fd
def _check_lal_pars(p):
""" Create a laldict object from the dictionary of waveform parameters
Parameters
----------
p: dictionary
The dictionary of lalsimulation paramaters
Returns
-------
laldict: LalDict
The lal type dictionary to pass to the lalsimulation waveform functions.
"""
lal_pars = lal.CreateDict()
#nonGRparams can be straightforwardly added if needed, however they have to
# be invoked one by one
if p['phase_order']!=-1:
lalsimulation.SimInspiralWaveformParamsInsertPNPhaseOrder(lal_pars,int(p['phase_order']))
if p['amplitude_order']!=-1:
lalsimulation.SimInspiralWaveformParamsInsertPNAmplitudeOrder(lal_pars,int(p['amplitude_order']))
if p['spin_order']!=-1:
lalsimulation.SimInspiralWaveformParamsInsertPNSpinOrder(lal_pars,int(p['spin_order']))
if p['tidal_order']!=-1:
lalsimulation.SimInspiralWaveformParamsInsertPNTidalOrder(lal_pars, p['tidal_order'])
if p['eccentricity_order']!=-1:
lalsimulation.SimInspiralWaveformParamsInsertPNEccentricityOrder(lal_pars, p['eccentricity_order'])
if p['lambda1'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertTidalLambda1(lal_pars, p['lambda1'])
if p['lambda2'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertTidalLambda2(lal_pars, p['lambda2'])
if p['lambda_octu1'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertTidalOctupolarLambda1(lal_pars, p['lambda_octu1'])
if p['lambda_octu2'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertTidalOctupolarLambda2(lal_pars, p['lambda_octu2'])
if p['quadfmode1'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertTidalQuadrupolarFMode1(lal_pars, p['quadfmode1'])
if p['quadfmode2'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertTidalQuadrupolarFMode2(lal_pars, p['quadfmode2'])
if p['octufmode1'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertTidalOctupolarFMode1(lal_pars, p['octufmode1'])
if p['octufmode2'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertTidalOctupolarFMode2(lal_pars, p['octufmode2'])
if p['dquad_mon1'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertdQuadMon1(lal_pars, p['dquad_mon1'])
if p['dquad_mon2'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertdQuadMon2(lal_pars, p['dquad_mon2'])
if p['numrel_data']:
lalsimulation.SimInspiralWaveformParamsInsertNumRelData(lal_pars, str(p['numrel_data']))
if p['modes_choice']:
lalsimulation.SimInspiralWaveformParamsInsertModesChoice(lal_pars, p['modes_choice'])
if p['frame_axis']:
lalsimulation.SimInspiralWaveformParamsInsertFrameAxis(lal_pars, p['frame_axis'])
if p['side_bands']:
lalsimulation.SimInspiralWaveformParamsInsertSideband(lal_pars, p['side_bands'])
if p['mode_array'] is not None:
ma = lalsimulation.SimInspiralCreateModeArray()
for l,m in p['mode_array']:
lalsimulation.SimInspiralModeArrayActivateMode(ma, l, m)
lalsimulation.SimInspiralWaveformParamsInsertModeArray(lal_pars, ma)
#TestingGR parameters:
if p['dchi0'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi0(lal_pars,p['dchi0'])
if p['dchi1'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi1(lal_pars,p['dchi1'])
if p['dchi2'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi2(lal_pars,p['dchi2'])
if p['dchi3'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi3(lal_pars,p['dchi3'])
if p['dchi4'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi4(lal_pars,p['dchi4'])
if p['dchi5'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi5(lal_pars,p['dchi5'])
if p['dchi5l'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi5L(lal_pars,p['dchi5l'])
if p['dchi6'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi6(lal_pars,p['dchi6'])
if p['dchi6l'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi6L(lal_pars,p['dchi6l'])
if p['dchi7'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi7(lal_pars,p['dchi7'])
if p['dalpha1'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDAlpha1(lal_pars,p['dalpha1'])
if p['dalpha2'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDAlpha2(lal_pars,p['dalpha2'])
if p['dalpha3'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDAlpha3(lal_pars,p['dalpha3'])
if p['dalpha4'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDAlpha4(lal_pars,p['dalpha4'])
if p['dalpha5'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDAlpha5(lal_pars,p['dalpha5'])
if p['dbeta1'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDBeta1(lal_pars,p['dbeta1'])
if p['dbeta2'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDBeta2(lal_pars,p['dbeta2'])
if p['dbeta3'] is not None:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDBeta3(lal_pars,p['dbeta3'])
return lal_pars
def sngl_inspiral_psd(waveform,
mass1,
mass2,
f_min=10,
f_final=None,
f_ref=None,
**kwargs):
# FIXME: uberbank mass criterion. Should find a way to get this from
# pipeline output metadata.
if waveform == 'o1-uberbank':
log.warning('Template is unspecified; '
'using ER8/O1 uberbank criterion')
if mass1 + mass2 < 4:
waveform = 'TaylorF2threePointFivePN'
else:
waveform = 'SEOBNRv2_ROM_DoubleSpin'
elif waveform == 'o2-uberbank':
log.warning('Template is unspecified; '
'using ER10/O2 uberbank criterion')
if mass1 + mass2 < 4:
waveform = 'TaylorF2threePointFivePN'
else:
waveform = 'SEOBNRv4_ROM'
approx, ampo, phaseo = get_approximant_and_orders_from_string(waveform)
log.info('Selected template: %s', waveform)
# Generate conditioned template.
params = lal.CreateDict()
lalsimulation.SimInspiralWaveformParamsInsertPNPhaseOrder(params, phaseo)
lalsimulation.SimInspiralWaveformParamsInsertPNAmplitudeOrder(params, ampo)
hplus, hcross = lalsimulation.SimInspiralFD(
m1=float(mass1) * lal.MSUN_SI,
m2=float(mass2) * lal.MSUN_SI,
S1x=float(kwargs.get('spin1x') or 0),
S1y=float(kwargs.get('spin1y') or 0),
S1z=float(kwargs.get('spin1z') or 0),
S2x=float(kwargs.get('spin2x') or 0),
S2y=float(kwargs.get('spin2y') or 0),
S2z=float(kwargs.get('spin2z') or 0),
distance=1e6 * lal.PC_SI,
inclination=0,
phiRef=0,
longAscNodes=0,
eccentricity=0,
meanPerAno=0,
deltaF=0,
f_min=f_min,
# Note: code elsewhere ensures that the sample rate is at least two
# times f_final; the factor of 2 below is just a safety factor to make
# sure that the sample rate is 2-4 times f_final.
f_max=ceil_pow_2(2 * (f_final or 2048)),
f_ref=float(f_ref or 0),
LALparams=params,
approximant=approx)
# Force `plus' and `cross' waveform to be in quadrature.
h = 0.5 * (hplus.data.data + 1j * hcross.data.data)
# For inspiral-only waveforms, nullify frequencies beyond ISCO.
# FIXME: the waveform generation functions pick the end frequency
# automatically. Shouldn't SimInspiralFD?
inspiral_only_waveforms = (lalsimulation.TaylorF2,
lalsimulation.SpinTaylorF2,
lalsimulation.TaylorF2RedSpin,
lalsimulation.TaylorF2RedSpinTidal,
lalsimulation.SpinTaylorT4Fourier)
if approx in inspiral_only_waveforms:
h[abscissa(hplus) >= get_f_lso(mass1, mass2)] = 0
# Throw away any frequencies above high frequency cutoff
h[abscissa(hplus) >= (f_final or 2048)] = 0
# Drop Nyquist frequency.
if len(h) % 2:
h = h[:-1]
# Create output frequency series.
psd = lal.CreateREAL8FrequencySeries('signal PSD', 0, hplus.f0,
hcross.deltaF, hplus.sampleUnits**2,
len(h))
psd.data.data = abs2(h)
# Done!
return psd
def _base_lal_cbc_fd_waveform(
frequency_array, mass_1, mass_2, luminosity_distance, theta_jn, phase,
a_1=0.0, a_2=0.0, tilt_1=0.0, tilt_2=0.0, phi_12=0.0, phi_jl=0.0,
lambda_1=0.0, lambda_2=0.0, eccentricity=0.0, **waveform_kwargs):
""" Generate a cbc waveform model using lalsimulation
Parameters
==========
frequency_array: array_like
The frequencies at which we want to calculate the strain
mass_1: float
The mass of the heavier object in solar masses
mass_2: float
The mass of the lighter object in solar masses
luminosity_distance: float
The luminosity distance in megaparsec
a_1: float
Dimensionless primary spin magnitude
tilt_1: float
Primary tilt angle
phi_12: float
Azimuthal angle between the component spins
a_2: float
Dimensionless secondary spin magnitude
tilt_2: float
Secondary tilt angle
phi_jl: float
Azimuthal angle between the total and orbital angular momenta
theta_jn: float
Orbital inclination
phase: float
The phase at coalescence
eccentricity: float
Binary eccentricity
lambda_1: float
Tidal deformability of the more massive object
lambda_2: float
Tidal deformability of the less massive object
kwargs: dict
Optional keyword arguments
Returns
=======
dict: A dictionary with the plus and cross polarisation strain modes
"""
import lal
import lalsimulation as lalsim
waveform_approximant = waveform_kwargs['waveform_approximant']
reference_frequency = waveform_kwargs['reference_frequency']
minimum_frequency = waveform_kwargs['minimum_frequency']
maximum_frequency = waveform_kwargs['maximum_frequency']
catch_waveform_errors = waveform_kwargs['catch_waveform_errors']
pn_spin_order = waveform_kwargs['pn_spin_order']
pn_tidal_order = waveform_kwargs['pn_tidal_order']
pn_phase_order = waveform_kwargs['pn_phase_order']
pn_amplitude_order = waveform_kwargs['pn_amplitude_order']
waveform_dictionary = waveform_kwargs.get(
'lal_waveform_dictionary', lal.CreateDict()
)
approximant = lalsim_GetApproximantFromString(waveform_approximant)
if pn_amplitude_order != 0:
start_frequency = lalsim.SimInspiralfLow2fStart(
minimum_frequency, int(pn_amplitude_order), approximant)
else:
start_frequency = minimum_frequency
delta_frequency = frequency_array[1] - frequency_array[0]
frequency_bounds = ((frequency_array >= minimum_frequency) *
(frequency_array <= maximum_frequency))
luminosity_distance = luminosity_distance * 1e6 * utils.parsec
mass_1 = mass_1 * utils.solar_mass
mass_2 = mass_2 * utils.solar_mass
iota, spin_1x, spin_1y, spin_1z, spin_2x, spin_2y, spin_2z = bilby_to_lalsimulation_spins(
theta_jn=theta_jn, phi_jl=phi_jl, tilt_1=tilt_1, tilt_2=tilt_2,
phi_12=phi_12, a_1=a_1, a_2=a_2, mass_1=mass_1, mass_2=mass_2,
reference_frequency=reference_frequency, phase=phase)
longitude_ascending_nodes = 0.0
mean_per_ano = 0.0
lalsim.SimInspiralWaveformParamsInsertPNSpinOrder(
waveform_dictionary, int(pn_spin_order))
lalsim.SimInspiralWaveformParamsInsertPNTidalOrder(
waveform_dictionary, int(pn_tidal_order))
lalsim.SimInspiralWaveformParamsInsertPNPhaseOrder(
waveform_dictionary, int(pn_phase_order))
lalsim.SimInspiralWaveformParamsInsertPNAmplitudeOrder(
waveform_dictionary, int(pn_amplitude_order))
lalsim_SimInspiralWaveformParamsInsertTidalLambda1(
waveform_dictionary, lambda_1)
lalsim_SimInspiralWaveformParamsInsertTidalLambda2(
waveform_dictionary, lambda_2)
for key, value in waveform_kwargs.items():
func = getattr(lalsim, "SimInspiralWaveformParamsInsert" + key, None)
if func is not None:
func(waveform_dictionary, value)
if waveform_kwargs.get('numerical_relativity_file', None) is not None:
lalsim.SimInspiralWaveformParamsInsertNumRelData(
waveform_dictionary, waveform_kwargs['numerical_relativity_file'])
if ('mode_array' in waveform_kwargs) and waveform_kwargs['mode_array'] is not None:
mode_array = waveform_kwargs['mode_array']
mode_array_lal = lalsim.SimInspiralCreateModeArray()
for mode in mode_array:
lalsim.SimInspiralModeArrayActivateMode(mode_array_lal, mode[0], mode[1])
lalsim.SimInspiralWaveformParamsInsertModeArray(waveform_dictionary, mode_array_lal)
if lalsim.SimInspiralImplementedFDApproximants(approximant):
wf_func = lalsim_SimInspiralChooseFDWaveform
else:
wf_func = lalsim_SimInspiralFD
try:
hplus, hcross = wf_func(
mass_1, mass_2, spin_1x, spin_1y, spin_1z, spin_2x, spin_2y,
spin_2z, luminosity_distance, iota, phase,
longitude_ascending_nodes, eccentricity, mean_per_ano, delta_frequency,
start_frequency, maximum_frequency, reference_frequency,
waveform_dictionary, approximant)
except Exception as e:
if not catch_waveform_errors:
raise
else:
EDOM = (e.args[0] == 'Internal function call failed: Input domain error')
if EDOM:
failed_parameters = dict(mass_1=mass_1, mass_2=mass_2,
spin_1=(spin_1x, spin_2y, spin_1z),
spin_2=(spin_2x, spin_2y, spin_2z),
luminosity_distance=luminosity_distance,
iota=iota, phase=phase,
eccentricity=eccentricity,
start_frequency=start_frequency)
logger.warning("Evaluating the waveform failed with error: {}\n".format(e) +
"The parameters were {}\n".format(failed_parameters) +
"Likelihood will be set to -inf.")
return None
else:
raise
h_plus = np.zeros_like(frequency_array, dtype=complex)
h_cross = np.zeros_like(frequency_array, dtype=complex)
if len(hplus.data.data) > len(frequency_array):
logger.debug("LALsim waveform longer than bilby's `frequency_array`" +
"({} vs {}), ".format(len(hplus.data.data), len(frequency_array)) +
"probably because padded with zeros up to the next power of two length." +
" Truncating lalsim array.")
h_plus = hplus.data.data[:len(h_plus)]
h_cross = hcross.data.data[:len(h_cross)]
else:
h_plus[:len(hplus.data.data)] = hplus.data.data
h_cross[:len(hcross.data.data)] = hcross.data.data
h_plus *= frequency_bounds
h_cross *= frequency_bounds
if wf_func == lalsim_SimInspiralFD:
dt = 1 / hplus.deltaF + (hplus.epoch.gpsSeconds + hplus.epoch.gpsNanoSeconds * 1e-9)
time_shift = np.exp(-1j * 2 * np.pi * dt * frequency_array[frequency_bounds])
h_plus[frequency_bounds] *= time_shift
h_cross[frequency_bounds] *= time_shift
return dict(plus=h_plus, cross=h_cross)
def _base_waveform_frequency_sequence(frequency_array, mass_1, mass_2,
luminosity_distance, a_1, tilt_1, phi_12,
a_2, tilt_2, lambda_1, lambda_2, phi_jl,
theta_jn, phase, **waveform_kwargs):
""" Generate a cbc waveform model on specified frequency samples
Parameters
----------
frequency_array: np.array
This input is ignored
mass_1: float
The mass of the heavier object in solar masses
mass_2: float
The mass of the lighter object in solar masses
luminosity_distance: float
The luminosity distance in megaparsec
a_1: float
Dimensionless primary spin magnitude
tilt_1: float
Primary tilt angle
phi_12: float
a_2: float
Dimensionless secondary spin magnitude
tilt_2: float
Secondary tilt angle
phi_jl: float
theta_jn: float
Orbital inclination
phase: float
The phase at coalescence
waveform_kwargs: dict
Optional keyword arguments
Returns
-------
waveform_polarizations: dict
Dict containing plus and cross modes evaluated at the linear and
quadratic frequency nodes.
"""
from lal import CreateDict
import lalsimulation as lalsim
frequencies = waveform_kwargs['frequencies']
reference_frequency = waveform_kwargs['reference_frequency']
approximant = lalsim_GetApproximantFromString(
waveform_kwargs['waveform_approximant'])
catch_waveform_errors = waveform_kwargs['catch_waveform_errors']
pn_spin_order = waveform_kwargs['pn_spin_order']
pn_tidal_order = waveform_kwargs['pn_tidal_order']
pn_phase_order = waveform_kwargs['pn_phase_order']
pn_amplitude_order = waveform_kwargs['pn_amplitude_order']
waveform_dictionary = waveform_kwargs.get('lal_waveform_dictionary',
CreateDict())
lalsim.SimInspiralWaveformParamsInsertPNSpinOrder(waveform_dictionary,
int(pn_spin_order))
lalsim.SimInspiralWaveformParamsInsertPNTidalOrder(waveform_dictionary,
int(pn_tidal_order))
lalsim.SimInspiralWaveformParamsInsertPNPhaseOrder(waveform_dictionary,
int(pn_phase_order))
lalsim.SimInspiralWaveformParamsInsertPNAmplitudeOrder(
waveform_dictionary, int(pn_amplitude_order))
lalsim_SimInspiralWaveformParamsInsertTidalLambda1(waveform_dictionary,
lambda_1)
lalsim_SimInspiralWaveformParamsInsertTidalLambda2(waveform_dictionary,
lambda_2)
for key, value in waveform_kwargs.items():
func = getattr(lalsim, "SimInspiralWaveformParamsInsert" + key, None)
if func is not None:
func(waveform_dictionary, value)
if waveform_kwargs.get('numerical_relativity_file', None) is not None:
lalsim.SimInspiralWaveformParamsInsertNumRelData(
waveform_dictionary, waveform_kwargs['numerical_relativity_file'])
if ('mode_array'
in waveform_kwargs) and waveform_kwargs['mode_array'] is not None:
mode_array = waveform_kwargs['mode_array']
mode_array_lal = lalsim.SimInspiralCreateModeArray()
for mode in mode_array:
lalsim.SimInspiralModeArrayActivateMode(mode_array_lal, mode[0],
mode[1])
lalsim.SimInspiralWaveformParamsInsertModeArray(
waveform_dictionary, mode_array_lal)
luminosity_distance = luminosity_distance * 1e6 * utils.parsec
mass_1 = mass_1 * utils.solar_mass
mass_2 = mass_2 * utils.solar_mass
iota, spin_1x, spin_1y, spin_1z, spin_2x, spin_2y, spin_2z = bilby_to_lalsimulation_spins(
theta_jn=theta_jn,
phi_jl=phi_jl,
tilt_1=tilt_1,
tilt_2=tilt_2,
phi_12=phi_12,
a_1=a_1,
a_2=a_2,
mass_1=mass_1,
mass_2=mass_2,
reference_frequency=reference_frequency,
phase=phase)
try:
h_plus, h_cross = lalsim_SimInspiralChooseFDWaveformSequence(
phase, mass_1, mass_2, spin_1x, spin_1y, spin_1z, spin_2x, spin_2y,
spin_2z, reference_frequency, luminosity_distance, iota,
waveform_dictionary, approximant, frequencies)
except Exception as e:
if not catch_waveform_errors:
raise
else:
EDOM = (e.args[0] ==
'Internal function call failed: Input domain error')
if EDOM:
failed_parameters = dict(
mass_1=mass_1,
mass_2=mass_2,
spin_1=(spin_1x, spin_2y, spin_1z),
spin_2=(spin_2x, spin_2y, spin_2z),
luminosity_distance=luminosity_distance,
iota=iota,
phase=phase)
logger.warning(
"Evaluating the waveform failed with error: {}\n".format(e)
+ "The parameters were {}\n".format(failed_parameters) +
"Likelihood will be set to -inf.")
return None
else:
raise
return dict(plus=h_plus.data.data, cross=h_cross.data.data)
def _check_lal_pars(p):
""" Create a laldict object from the dictionary of waveform parameters
Parameters
----------
p: dictionary
The dictionary of lalsimulation paramaters
Returns
-------
laldict: LalDict
The lal type dictionary to pass to the lalsimulation waveform functions.
"""
lal_pars = lal.CreateDict()
#nonGRparams can be straightforwardly added if needed, however they have to
# be invoked one by one
if p['phase_order'] != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNPhaseOrder(
lal_pars, int(p['phase_order']))
if p['amplitude_order'] != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNAmplitudeOrder(
lal_pars, int(p['amplitude_order']))
if p['spin_order'] != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNSpinOrder(
lal_pars, int(p['spin_order']))
if p['tidal_order'] != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNTidalOrder(
lal_pars, p['tidal_order'])
if p['eccentricity_order'] != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNEccentricityOrder(
lal_pars, p['eccentricity_order'])
if p['lambda1']:
lalsimulation.SimInspiralWaveformParamsInsertTidalLambda1(
lal_pars, p['lambda1'])
if p['lambda2']:
lalsimulation.SimInspiralWaveformParamsInsertTidalLambda2(
lal_pars, p['lambda2'])
if p['dquad_mon1']:
lalsimulation.SimInspiralWaveformParamsInsertdQuadMon1(
lal_pars, p['dquad_mon1'])
if p['dquad_mon2']:
lalsimulation.SimInspiralWaveformParamsInsertdQuadMon2(
lal_pars, p['dquad_mon2'])
if p['numrel_data']:
lalsimulation.SimInspiralWaveformParamsInsertNumRelData(
lal_pars, str(p['numrel_data']))
if p['modes_choice']:
lalsimulation.SimInspiralWaveformParamsInsertModesChoice(
lal_pars, p['modes_choice'])
if p['frame_axis']:
lalsimulation.SimInspiralWaveformParamsInsertFrameAxis(
lal_pars, p['frame_axis'])
if p['side_bands']:
lalsimulation.SimInspiralWaveformParamsInsertSideband(
lal_pars, p['side_bands'])
################################################################################################
#####-------------------------------------Non-GR params-----------------------------------######
################################################################################################
# Phi:
if 'phi1' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRPhi1(
lal_pars, float(p['phi1']))
if 'phi2' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRPhi2(
lal_pars, float(p['phi2']))
if 'phi3' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRPhi3(
lal_pars, float(p['phi3']))
if 'phi4' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRPhi4(
lal_pars, float(p['phi4']))
# dChi:
if 'dchi0' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi0(
lal_pars, float(p['dchi0']))
if 'dchi1' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi1(
lal_pars, float(p['dchi1']))
if 'dchi2' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi2(
lal_pars, float(p['dchi2']))
if 'dchi3' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi3(
lal_pars, float(p['dchi3']))
if 'dchi4' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi4(
lal_pars, float(p['dchi4']))
if 'dchi5' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi5(
lal_pars, float(p['dchi5']))
if 'dchi5L' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi5L(
lal_pars, float(p['dchi5L']))
if 'dchi6' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi6(
lal_pars, float(p['dchi7']))
if 'dchi6L' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi6L(
lal_pars, float(p['dchi6L']))
if 'dchi7' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDChi7(
lal_pars, float(p['dchi7']))
# dXi:
if 'dxi1' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDXi1(
lal_pars, float(p['dxi1']))
if 'dxi2' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDXi2(
lal_pars, float(p['dxi2']))
if 'dxi3' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDXi3(
lal_pars, float(p['dxi3']))
if 'dxi4' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDXi4(
lal_pars, float(p['dxi4']))
if 'dxi5' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDXi5(
lal_pars, float(p['dxi5']))
if 'dxi6' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDXi6(
lal_pars, float(p['dxi6']))
# Sigma:
if 'dsigma1' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDSigma1(
lal_pars, float(p['dsigma1']))
if 'dsigma2' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDSigma2(
lal_pars, float(p['dsigma2']))
if 'dsigma3' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDSigma3(
lal_pars, float(p['dsigma3']))
if 'dsigma4' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDSigma4(
lal_pars, float(p['dsigma4']))
# Alpha:
if 'dalpha1' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDAlpha1(
lal_pars, float(p['dalpha1']))
if 'dalpha2' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDAlpha2(
lal_pars, float(p['dalpha2']))
if 'dalpha3' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDAlpha3(
lal_pars, float(p['dalpha3']))
if 'dalpha4' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDAlpha4(
lal_pars, float(p['dalpha4']))
if 'dalpha5' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDAlpha5(
lal_pars, float(p['dalpha5']))
# Beta:
if 'dbeta1' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDBeta1(
lal_pars, float(p['dbeta1']))
if 'dbeta2' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDBeta2(
lal_pars, float(p['dbeta2']))
if 'dbeta3' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRDBeta3(
lal_pars, float(p['dbeta3']))
# Alpha PPE:
if 'alphaPPE' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRAlphaPPE(
lal_pars, float(p['alphaPPE']))
if 'alphaPPE0' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRAlphaPPE0(
lal_pars, float(p['alphaPPE0']))
if 'alphaPPE1' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRAlphaPPE1(
lal_pars, float(p['alphaPPE1']))
if 'alphaPPE2' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRAlphaPPE2(
lal_pars, float(p['alphaPPE2']))
if 'alphaPPE3' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRAlphaPPE3(
lal_pars, float(p['alphaPPE3']))
if 'alphaPPE4' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRAlphaPPE4(
lal_pars, float(p['alphaPPE4']))
if 'alphaPPE5' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRAlphaPPE5(
lal_pars, float(p['alphaPPE5']))
# Beta PPE:
if 'betaPPE' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRBetaPPE(
lal_pars, float(p['betaPPE']))
if 'betaPPE0' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRBetaPPE0(
lal_pars, float(p['betaPPE0']))
if 'betaPPE1' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRBetaPPE1(
lal_pars, float(p['betaPPE1']))
if 'betaPPE2' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRBetaPPE2(
lal_pars, float(p['betaPPE2']))
if 'betaPPE3' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRBetaPPE3(
lal_pars, float(p['betaPPE3']))
if 'betaPPE4' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRBetaPPE4(
lal_pars, float(p['betaPPE4']))
if 'betaPPE5' in p:
lalsimulation.SimInspiralWaveformParamsInsertNonGRBetaPPE5(
lal_pars, float(p['betaPPE5']))
return lal_pars
def _base_lal_cbc_fd_waveform(frequency_array,
mass_1,
mass_2,
luminosity_distance,
theta_jn,
phase,
a_1=0.0,
a_2=0.0,
tilt_1=0.0,
tilt_2=0.0,
phi_12=0.0,
phi_jl=0.0,
lambda_1=0.0,
lambda_2=0.0,
eccentricity=0.0,
**waveform_kwargs):
""" Generate a cbc waveform model using lalsimulation
Parameters
----------
frequency_array: array_like
The frequencies at which we want to calculate the strain
mass_1: float
The mass of the heavier object in solar masses
mass_2: float
The mass of the lighter object in solar masses
luminosity_distance: float
The luminosity distance in megaparsec
a_1: float
Dimensionless primary spin magnitude
tilt_1: float
Primary tilt angle
phi_12: float
Azimuthal angle between the component spins
a_2: float
Dimensionless secondary spin magnitude
tilt_2: float
Secondary tilt angle
phi_jl: float
Azimuthal angle between the total and orbital angular momenta
theta_jn: float
Orbital inclination
phase: float
The phase at coalescence
eccentricity: float
Binary eccentricity
lambda_1: float
Tidal deformability of the more massive object
lambda_2: float
Tidal deformability of the less massive object
kwargs: dict
Optional keyword arguments
Returns
-------
dict: A dictionary with the plus and cross polarisation strain modes
"""
waveform_approximant = waveform_kwargs['waveform_approximant']
reference_frequency = waveform_kwargs['reference_frequency']
minimum_frequency = waveform_kwargs['minimum_frequency']
maximum_frequency = waveform_kwargs['maximum_frequency']
catch_waveform_errors = waveform_kwargs['catch_waveform_errors']
pn_spin_order = waveform_kwargs['pn_spin_order']
pn_tidal_order = waveform_kwargs['pn_tidal_order']
pn_phase_order = waveform_kwargs['pn_phase_order']
pn_amplitude_order = waveform_kwargs['pn_amplitude_order']
approximant = lalsim_GetApproximantFromString(waveform_approximant)
if pn_amplitude_order != 0:
start_frequency = lalsim.SimInspiralfLow2fStart(
minimum_frequency, int(pn_amplitude_order), approximant)
else:
start_frequency = minimum_frequency
delta_frequency = frequency_array[1] - frequency_array[0]
frequency_bounds = ((frequency_array >= minimum_frequency) *
(frequency_array <= maximum_frequency))
luminosity_distance = luminosity_distance * 1e6 * utils.parsec
mass_1 = mass_1 * utils.solar_mass
mass_2 = mass_2 * utils.solar_mass
iota, spin_1x, spin_1y, spin_1z, spin_2x, spin_2y, spin_2z = bilby_to_lalsimulation_spins(
theta_jn=theta_jn,
phi_jl=phi_jl,
tilt_1=tilt_1,
tilt_2=tilt_2,
phi_12=phi_12,
a_1=a_1,
a_2=a_2,
mass_1=mass_1,
mass_2=mass_2,
reference_frequency=reference_frequency,
phase=phase)
longitude_ascending_nodes = 0.0
mean_per_ano = 0.0
waveform_dictionary = lal.CreateDict()
lalsim.SimInspiralWaveformParamsInsertPNSpinOrder(waveform_dictionary,
int(pn_spin_order))
lalsim.SimInspiralWaveformParamsInsertPNTidalOrder(waveform_dictionary,
int(pn_tidal_order))
lalsim.SimInspiralWaveformParamsInsertPNPhaseOrder(waveform_dictionary,
int(pn_phase_order))
lalsim.SimInspiralWaveformParamsInsertPNAmplitudeOrder(
waveform_dictionary, int(pn_amplitude_order))
lalsim_SimInspiralWaveformParamsInsertTidalLambda1(waveform_dictionary,
lambda_1)
lalsim_SimInspiralWaveformParamsInsertTidalLambda2(waveform_dictionary,
lambda_2)
if 'modearray' in waveform_kwargs:
modearray = waveform_kwargs['modearray']
mode_array = lalsim.SimInspiralCreateModeArray()
for mode in modearray:
lalsim.SimInspiralModeArrayActivateMode(mode_array, mode[0],
mode[1])
lalsim.SimInspiralWaveformParamsInsertModeArray(
waveform_dictionary, mode_array)
if lalsim.SimInspiralImplementedFDApproximants(approximant):
wf_func = lalsim_SimInspiralChooseFDWaveform
else:
wf_func = lalsim_SimInspiralFD
try:
hplus, hcross = wf_func(mass_1, mass_2, spin_1x, spin_1y, spin_1z,
spin_2x, spin_2y, spin_2z, luminosity_distance,
iota, phase, longitude_ascending_nodes,
eccentricity, mean_per_ano, delta_frequency,
start_frequency, maximum_frequency,
reference_frequency, waveform_dictionary,
approximant)
except Exception as e:
if not catch_waveform_errors:
raise
else:
EDOM = (e.args[0] ==
'Internal function call failed: Input domain error')
if EDOM:
failed_parameters = dict(
mass_1=mass_1,
mass_2=mass_2,
spin_1=(spin_1x, spin_2y, spin_1z),
spin_2=(spin_2x, spin_2y, spin_2z),
luminosity_distance=luminosity_distance,
iota=iota,
phase=phase,
eccentricity=eccentricity,
start_frequency=start_frequency)
logger.warning(
"Evaluating the waveform failed with error: {}\n".format(e)
+ "The parameters were {}\n".format(failed_parameters) +
"Likelihood will be set to -inf.")
return None
else:
raise
h_plus = np.zeros_like(frequency_array, dtype=np.complex)
h_cross = np.zeros_like(frequency_array, dtype=np.complex)
if len(hplus.data.data) > len(frequency_array):
raise ValueError("Waveform longer than frequency array")
h_plus[:len(hplus.data.data)] = hplus.data.data
h_cross[:len(hcross.data.data)] = hcross.data.data
h_plus *= frequency_bounds
h_cross *= frequency_bounds
return dict(plus=h_plus, cross=h_cross)
def test_bayestar_signal_amplitude_model(ra, dec, inclination, polarization,
epoch, instrument):
"""Test BAYESTAR signal amplitude model against LAL injection code."""
detector = lalsimulation.DetectorPrefixToLALDetector(instrument)
epoch = lal.LIGOTimeGPS(epoch)
gmst = lal.GreenwichMeanSiderealTime(epoch)
exp_i_twopsi = np.exp(2j * polarization)
u = np.cos(inclination)
u2 = np.square(u)
F = get_complex_antenna(detector.response, ra, dec, gmst)
result = signal_amplitude_model(F, exp_i_twopsi, u, u2)
abs_expected = 1 / get_eff_dist(detector, ra, dec, inclination,
polarization, epoch, gmst)
# This is the *really* slow way of working out the signal amplitude:
# generate a frequency-domain waveform and inject it.
params = lal.CreateDict()
lalsimulation.SimInspiralWaveformParamsInsertPNPhaseOrder(
params, lalsimulation.PNORDER_NEWTONIAN)
lalsimulation.SimInspiralWaveformParamsInsertPNAmplitudeOrder(
params, lalsimulation.PNORDER_NEWTONIAN)
# Calculate antenna factors
Fplus, Fcross = lal.ComputeDetAMResponse(detector.response, ra, dec,
polarization, gmst)
# Check that the way I compute the antenna factors matches
F = get_complex_antenna(detector.response, ra, dec, gmst)
F *= np.exp(-2j * polarization)
assert F.real == approx(Fplus, abs=4 * np.finfo(np.float64).eps)
assert F.imag == approx(Fcross, abs=4 * np.finfo(np.float64).eps)
# "Template" waveform with inclination angle of zero
Htemplate, Hcross = lalsimulation.SimInspiralFD(1.4 * lal.MSUN_SI,
1.4 * lal.MSUN_SI, 0, 0, 0,
0, 0, 0, 1, 0, 0, 0, 0, 0,
1, 100, 101, 100, params,
lalsimulation.TaylorF2)
# Discard any non-quadrature phase component of "template"
Htemplate.data.data += 1j * Hcross.data.data
# Normalize "template"
h = np.sum(
np.square(Htemplate.data.data.real) +
np.square(Htemplate.data.data.imag))
h = 2 / h
Htemplate.data.data *= h
# "Signal" waveform with requested inclination angle
Hsignal, Hcross = lalsimulation.SimInspiralFD(
1.4 * lal.MSUN_SI, 1.4 * lal.MSUN_SI, 0, 0, 0, 0, 0, 0, 1, inclination,
0, 0, 0, 0, 1, 100, 101, 100, params, lalsimulation.TaylorF2)
# Project "signal" using antenna factors
Hsignal.data.data = Fplus * Hsignal.data.data + Fcross * Hcross.data.data
# Work out complex amplitude by comparing with "template" waveform
expected = np.sum(Htemplate.data.data.conj() * Hsignal.data.data)
assert abs(expected) == approx(abs_expected,
abs=1.5 * np.finfo(np.float32).eps)
assert abs(result) == approx(abs_expected,
abs=1.5 * np.finfo(np.float32).eps)
assert result.real == approx(expected.real,
abs=4 * np.finfo(np.float32).eps)
assert result.imag == approx(expected.imag,
abs=4 * np.finfo(np.float32).eps)
def lalsim_td_waveform(long_asc_nodes=0.0,
eccentricity=0.0,
mean_per_ano=0.0,
phi_ref=0.0,
f_ref=None,
phase_order=-1,
amplitude_order=-1,
spin_order=-1,
tidal_order=-1,
**p):
"""Wrapper for lalsimulation.SimInspiralChooseTDWaveform.
Simplified version of pycbc.waveform.get_td_waveform wrapper.
Parameters
----------
f_ref : Reference frequency (?For setting phi_ref? Not sure.) Defaults to f_min.
phi_ref : Reference phase (?at f_ref?).
Returns
-------
h : Waveform
"""
if f_ref == None:
f_ref = p['f_min']
# Set extra arguments in the lal Dict structure
lal_pars = lal.CreateDict()
if phase_order != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNPhaseOrder(
lal_pars, int(phase_order))
if amplitude_order != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNAmplitudeOrder(
lal_pars, int(amplitude_order))
if spin_order != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNSpinOrder(
lal_pars, int(spin_order))
if tidal_order != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNTidalOrder(
lal_pars, int(tidal_order))
if p['lambda1']:
lalsimulation.SimInspiralWaveformParamsInsertTidalLambda1(
lal_pars, p['lambda1'])
if p['lambda2']:
lalsimulation.SimInspiralWaveformParamsInsertTidalLambda2(
lal_pars, p['lambda2'])
# Set Approximant (C enum structure) corresponding to approximant string
lal_approx = lalsimulation.GetApproximantFromString(p['approximant'])
hp, hc = lalsimulation.SimInspiralChooseTDWaveform(
float(MSUN_SI * p['mass1']), float(MSUN_SI * p['mass2']),
float(p['spin1x']), float(p['spin1y']), float(p['spin1z']),
float(p['spin2x']), float(p['spin2y']), float(p['spin2z']),
float(MPC_SI * p['distance']), float(p['inclination']), float(phi_ref),
float(long_asc_nodes), float(eccentricity), float(mean_per_ano),
float(p['delta_t']), float(p['f_min']), float(f_ref), lal_pars,
lal_approx)
# Extract data from lalsimulation's structures
tstart = hp.epoch.gpsSeconds + hp.epoch.gpsNanoSeconds * 1.0e-9
xs = tstart + hp.deltaT * np.arange(hp.data.length)
return wave.Waveform.from_hp_hc(xs, hp.data.data, hc.data.data)
def lalsim_fd_waveform(long_asc_nodes=0.0,
eccentricity=0.0,
mean_per_ano=0.0,
phi_ref=0.0,
f_ref=None,
phase_order=-1,
amplitude_order=-1,
spin_order=-1,
tidal_order=-1,
quad1=None,
quad2=None,
**p):
"""Wrapper for lalsimulation.SimInspiralChooseTDWaveform.
Simplified version of pycbc.waveform.get_td_waveform wrapper.
Parameters
----------
f_ref : Reference frequency (?For setting phi_ref? Not sure.) Defaults to f_min.
phi_ref : Reference phase (?at f_ref?).
Returns
-------
h : Waveform
"""
if f_ref == None:
f_ref = p['f_min']
# Set extra arguments in the lal Dict structure
lal_pars = lal.CreateDict()
if phase_order != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNPhaseOrder(
lal_pars, int(phase_order))
if amplitude_order != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNAmplitudeOrder(
lal_pars, int(amplitude_order))
if spin_order != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNSpinOrder(
lal_pars, int(spin_order))
if tidal_order != -1:
lalsimulation.SimInspiralWaveformParamsInsertPNTidalOrder(
lal_pars, int(tidal_order))
if p['lambda1']:
lalsimulation.SimInspiralWaveformParamsInsertTidalLambda1(
lal_pars, p['lambda1'])
if p['lambda2']:
lalsimulation.SimInspiralWaveformParamsInsertTidalLambda2(
lal_pars, p['lambda2'])
# Add spin-induced quadrupole terms. Default is universal relations.
# dQuadMon1 = quad1 - 1
# dQuadMon2 = quad2 - 1
if quad1 == None:
quad1 = taylorf2.quad_of_lambda_fit(p['lambda1'])
if quad2 == None:
quad2 = taylorf2.quad_of_lambda_fit(p['lambda2'])
lalsimulation.SimInspiralWaveformParamsInsertdQuadMon1(
lal_pars, quad1 - 1.0)
lalsimulation.SimInspiralWaveformParamsInsertdQuadMon2(
lal_pars, quad2 - 1.0)
print quad1, quad2
print 'dQuadMon1 =', lalsimulation.SimInspiralWaveformParamsLookupdQuadMon1(
lal_pars)
print 'dQuadMon2 =', lalsimulation.SimInspiralWaveformParamsLookupdQuadMon2(
lal_pars)
# Set Approximant (C enum structure) corresponding to approximant string
lal_approx = lalsimulation.GetApproximantFromString(p['approximant'])
hp, hc = lalsimulation.SimInspiralChooseFDWaveform(
float(MSUN_SI * p['mass1']), float(MSUN_SI * p['mass2']),
float(p['spin1x']), float(p['spin1y']), float(p['spin1z']),
float(p['spin2x']), float(p['spin2y']), float(p['spin2z']),
float(MPC_SI * p['distance']), float(p['inclination']), float(phi_ref),
float(long_asc_nodes), float(eccentricity), float(mean_per_ano),
float(p['delta_f']), float(p['f_min']), float(p['f_max']),
float(f_ref), lal_pars, lal_approx)
# Extract data from lalsimulation's structures
# The first data point in hp.data.data corresponds to f=0 not f=f_min
fs = hp.deltaF * np.arange(hp.data.length)
return wave.Waveform.from_hp_hc(fs, hp.data.data, hc.data.data)