Functions
def	get_input_filename (parser, args)
	Determine name of input: either the sole positional command line argument, or /dev/stdin. More...

def	standardize_param_name (params, possible_names, desired_name)

def	standardize_param_names (params)

def	compute_mass_parameterizations (samples)

Variables
list	sim_inspiral_dt

	parser

	opts

	args

def	infilename = get_input_filename(parser, args)

	params = inp.readline().split()

	samples = np.loadtxt(inp, dtype=[(p, np.float) for p in params])

	N = opts.num_of_injs

	selection = np.arange(len(samples))

	injections = np.zeros((N,), dtype=sim_inspiral_dt)

	mc

	eta

	m1

	m2

	mtotal

	ids = range(N)

	s1x = np.zeros_like(s1z)

	s1y = np.zeros_like(s1z)

	s1z = samples['a1z']

	s2x = np.zeros_like(s2z)

	s2y = np.zeros_like(s2z)

	s2z = samples['a2z']

	system_frame_params

	theta_jn = np.array([np.arccos(i) for i in samples['costheta_jn']])

	inclination = inclination.flatten()

	theta1 = theta1.flatten()

	phi1 = phi1.flatten()

	theta2 = theta2.flatten()

	phi2 = phi2.flatten()

	flow = samples['flow']

	xmldoc = ligolw.Document()

	proc = igwn_ligolw.utils.process.register_to_xmldoc(doc, sys.argv[0], {})

	sim_table = lsctables.New(lsctables.SimInspiralTable)

	row = sim_table.RowType()

	process_id

	simulation_id

	vals = injections[field]

	output_file = open(opts.output, 'w')

Function Documentation

◆ get_input_filename()

def cbcBayesPosToSimInspiral.get_input_filename	(	parser,
		args
	)

Determine name of input: either the sole positional command line argument, or /dev/stdin.

Definition at line 67 of file cbcBayesPosToSimInspiral.py.

◆ standardize_param_name()

def cbcBayesPosToSimInspiral.standardize_param_name	(	params,
		possible_names,
		desired_name
	)

Definition at line 76 of file cbcBayesPosToSimInspiral.py.

◆ standardize_param_names()

def cbcBayesPosToSimInspiral.standardize_param_names ( params )

Definition at line 80 of file cbcBayesPosToSimInspiral.py.

◆ compute_mass_parameterizations()

def cbcBayesPosToSimInspiral.compute_mass_parameterizations ( samples )

Definition at line 93 of file cbcBayesPosToSimInspiral.py.

Variable Documentation

◆ sim_inspiral_dt

list cbcBayesPosToSimInspiral.sim_inspiral_dt

Initial value:

=  [
        ('waveform','|S64'),
        ('taper','|S64'),
        ('f_lower', 'f8'),
        ('mchirp', 'f8'),
        ('eta', 'f8'),
        ('mass1', 'f8'),
        ('mass2', 'f8'),
        ('geocent_end_time', 'f8'),
        ('geocent_end_time_ns', 'f8'),
        ('distance', 'f8'),
        ('longitude', 'f8'),
        ('latitude', 'f8'),
        ('inclination', 'f8'),
        ('coa_phase', 'f8'),
        ('polarization', 'f8'),
        ('spin1x', 'f8'),
        ('spin1y', 'f8'),
        ('spin1z', 'f8'),
        ('spin2x', 'f8'),
        ('spin2y', 'f8'),
        ('spin2z', 'f8'),
        ('amp_order', 'i4'),
        ('numrel_data','|S64')
]

Definition at line 39 of file cbcBayesPosToSimInspiral.py.

◆ parser

cbcBayesPosToSimInspiral.parser

Initial value:

=  OptionParser(
            description = __doc__,
            usage = "%prog [options] [INPUT]",
            option_list = [
                Option("-o", "--output", metavar="FILE.xml",
                    help="name of output XML file"),
                Option("--num-of-injs", metavar="NUM", type=int, default=200,
                    help="number of injections"),
                Option("--approx", metavar="APPROX", default="SpinTaylorT4threePointFivePN",
                    help="approximant to be injected"),
                Option("--taper", metavar="TAPER", default="TAPER_NONE",
                    help="Taper methods for injections"),
                Option("--flow", metavar="FLOW", type=float, default=None,
                    help="Taper methods for injections"),
                Option("--amporder", metavar="AMPORDER", type=int, default=0,
                    help="pN order in amplitude for injection")
            ]
    )

Definition at line 138 of file cbcBayesPosToSimInspiral.py.

◆ opts

cbcBayesPosToSimInspiral.opts

Definition at line 157 of file cbcBayesPosToSimInspiral.py.

◆ args

cbcBayesPosToSimInspiral.args

Definition at line 157 of file cbcBayesPosToSimInspiral.py.

◆ infilename

def cbcBayesPosToSimInspiral.infilename = get_input_filename(parser, args)

Definition at line 158 of file cbcBayesPosToSimInspiral.py.

◆ params

cbcBayesPosToSimInspiral.params = inp.readline().split()

Definition at line 162 of file cbcBayesPosToSimInspiral.py.

◆ samples

cbcBayesPosToSimInspiral.samples = np.loadtxt(inp, dtype=[(p, np.float) for p in params])

Definition at line 164 of file cbcBayesPosToSimInspiral.py.

◆ N

cbcBayesPosToSimInspiral.N = opts.num_of_injs

Definition at line 166 of file cbcBayesPosToSimInspiral.py.

◆ selection

cbcBayesPosToSimInspiral.selection = np.arange(len(samples))

Definition at line 171 of file cbcBayesPosToSimInspiral.py.

◆ injections

cbcBayesPosToSimInspiral.injections = np.zeros((N,), dtype=sim_inspiral_dt)

Definition at line 176 of file cbcBayesPosToSimInspiral.py.

◆ mc

cbcBayesPosToSimInspiral.mc

Definition at line 179 of file cbcBayesPosToSimInspiral.py.

◆ eta

cbcBayesPosToSimInspiral.eta

Definition at line 179 of file cbcBayesPosToSimInspiral.py.

◆ m1

cbcBayesPosToSimInspiral.m1

Definition at line 179 of file cbcBayesPosToSimInspiral.py.

◆ m2

cbcBayesPosToSimInspiral.m2

Definition at line 179 of file cbcBayesPosToSimInspiral.py.

◆ mtotal

cbcBayesPosToSimInspiral.mtotal

Definition at line 179 of file cbcBayesPosToSimInspiral.py.

◆ ids

cbcBayesPosToSimInspiral.ids = range(N)

Definition at line 182 of file cbcBayesPosToSimInspiral.py.

◆ s1x

cbcBayesPosToSimInspiral.s1x = np.zeros_like(s1z)

Definition at line 186 of file cbcBayesPosToSimInspiral.py.

◆ s1y

cbcBayesPosToSimInspiral.s1y = np.zeros_like(s1z)

Definition at line 186 of file cbcBayesPosToSimInspiral.py.

◆ s1z

cbcBayesPosToSimInspiral.s1z = samples['a1z']

Definition at line 186 of file cbcBayesPosToSimInspiral.py.

◆ s2x

cbcBayesPosToSimInspiral.s2x = np.zeros_like(s2z)

Definition at line 198 of file cbcBayesPosToSimInspiral.py.

◆ s2y

cbcBayesPosToSimInspiral.s2y = np.zeros_like(s2z)

Definition at line 198 of file cbcBayesPosToSimInspiral.py.

◆ s2z

cbcBayesPosToSimInspiral.s2z = samples['a2z']

Definition at line 198 of file cbcBayesPosToSimInspiral.py.

◆ system_frame_params

cbcBayesPosToSimInspiral.system_frame_params

Initial value:

=  set([ \
            'costheta_jn', \
            'phi_jl', \
            'tilt1', 'tilt2', \
            'phi12', \
            'a1','a2', \
            'f_ref' \
    ])