Select Git revision
generate_table.py

Gregory Ashton authored
1) Changes the way the prior is built to be wider than the initial box 2) Fixes error where the F0 and F1 where always chosen in the middle of the box
generate_table.py 2.45 KiB
import pyfstat
import numpy as np
outdir = 'data'
label = 'allsky_setup'
data_label = '{}_data'.format(label)
# Properties of the GW data
sqrtSX = 2e-23
tstart = 1000000000
Tspan = 100*86400
tend = tstart + Tspan
# Fixed properties of the signal
F0_center = 30
F1_center = 1e-10
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)
DeltaAlpha = 0.02
DeltaDelta = 0.02
depth = 100
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 = sqrtSX / float(depth)
r = np.random.uniform(0, 1)
theta = np.random.uniform(0, 2*np.pi)
F0 = F0_center + 3*np.sqrt(r)*np.cos(theta)/(np.pi**2 * Tspan**2)
F1 = F1_center + 45*np.sqrt(r)*np.sin(theta)/(4*np.pi**2 * Tspan**4)
Alpha_center = 0
Delta_center = 0
Alpha = Alpha_center + np.random.uniform(-0.5, 0.5)*DeltaAlpha
Delta = Delta_center + np.random.uniform(-0.5, 0.5)*DeltaDelta
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()
predicted_twoF = data.predict_fstat()
theta_prior = {'F0': {'type': 'unif',
'lower': F0_center-DeltaF0,
'upper': F0_center+DeltaF0},
'F1': {'type': 'unif',
'lower': F1_center-DeltaF1,
'upper': F1_center+DeltaF1},
'F2': F2,
'Alpha': {'type': 'unif',
'lower': Alpha_center-DeltaAlpha,
'upper': Alpha_center+DeltaAlpha},
'Delta': {'type': 'unif',
'lower': Delta_center-DeltaDelta,
'upper': Delta_center+DeltaDelta},
}
ntemps = 2
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(Nsegs0=20, R=10)
#mcmc.run(run_setup)