generate_data.py 2.85 KB
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import pyfstat
import numpy as np
import os
import sys
import time

ID = sys.argv[1]
outdir = sys.argv[2]

label = 'run_{}'.format(ID)
data_label = '{}_data'.format(label)
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results_file_name = '{}/NoiseOnlyMCResults_{}.txt'.format(outdir, ID)
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# Properties of the GW data
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sqrtSX = 1e-23
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tstart = 1000000000
Tspan = 100*86400
tend = tstart + Tspan

# Fixed properties of the signal
F0_center = 30
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F1_center = -1e-10
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F2 = 0
tref = .5*(tstart+tend)


VF0 = VF1 = 100
DeltaF0 = VF0 * np.sqrt(3)/(np.pi*Tspan)
DeltaF1 = VF1 * np.sqrt(45/4.)/(np.pi*Tspan**2)

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DeltaAlpha = 0.02
DeltaDelta = 0.02

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nsteps = 50
run_setup = [((nsteps, 0), 20, False),
             ((nsteps, 0), 11, False),
             ((nsteps, 0), 6, False),
             ((nsteps, 0), 3, False),
             ((nsteps, nsteps), 1, False)]


h0 = 0
F0 = F0_center + np.random.uniform(-0.5, 0.5)*DeltaF0
F1 = F1_center + np.random.uniform(-0.5, 0.5)*DeltaF1
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Alpha_center = np.random.uniform(DeltaAlpha, 2*np.pi-DeltaAlpha)
Delta_center = np.arccos(2*np.random.uniform(0, 1)-1)-np.pi/2
Alpha = Alpha_center + np.random.uniform(-0.5, 0.5)*DeltaAlpha
Delta = Delta_center + np.random.uniform(-0.5, 0.5)*DeltaDelta
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psi = np.random.uniform(-np.pi/4, np.pi/4)
phi = np.random.uniform(0, 2*np.pi)
cosi = np.random.uniform(-1, 1)

data = pyfstat.Writer(
    label=data_label, outdir=outdir, tref=tref,
    tstart=tstart, F0=F0, F1=F1, F2=F2, duration=Tspan, Alpha=Alpha,
    Delta=Delta, h0=h0, sqrtSX=sqrtSX, psi=psi, phi=phi, cosi=cosi,
    detector='H1,L1')
data.make_data()

startTime = time.time()
theta_prior = {'F0': {'type': 'unif',
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                      'lower': F0_center-DeltaF0,
                      'upper': F0_center+DeltaF0},
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               'F1': {'type': 'unif',
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                      'lower': F1_center-DeltaF1,
                      'upper': F1_center+DeltaF1},
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               'F2': F2,
               'Alpha': {'type': 'unif',
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                         'lower': Alpha_center-DeltaAlpha,
                         'upper': Alpha_center+DeltaAlpha},
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               'Delta': {'type': 'unif',
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                         'lower': Delta_center-DeltaDelta,
                         'upper': Delta_center+DeltaDelta},
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               }

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ntemps = 2
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log10temperature_min = -1
nwalkers = 100

mcmc = pyfstat.MCMCFollowUpSearch(
    label=label, outdir=outdir,
    sftfilepath='{}/*{}*sft'.format(outdir, data_label),
    theta_prior=theta_prior,
    tref=tref, minStartTime=tstart, maxStartTime=tend,
    nwalkers=nwalkers, ntemps=ntemps,
    log10temperature_min=log10temperature_min)
mcmc.run(run_setup=run_setup, create_plots=False, log_table=False,
         gen_tex_table=False)
d, maxtwoF = mcmc.get_max_twoF()
dF0 = F0 - d['F0']
dF1 = F1 - d['F1']
runTime = time.time() - startTime
with open(results_file_name, 'a') as f:
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    f.write('{:1.8e} {:1.8e} {:1.8e} {}\n'
            .format(dF0, dF1, maxtwoF, runTime))
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os.system('rm {}/*{}*'.format(outdir, label))