else: raise ValueError, "detector=%s not understood"%arg ############################################################################### ####################### initialize network and priors ######################## nfreqs = len(freqs) ndet = len(detectors) print 'Number of detectors = ', ndet if opts.verbose: print "building prior objects" if opts.time: to = time.time() hprior_amplitudes, hprior_means, hprior_covariance = priors.hpri_neg4(len_freqs=nfreqs, seg_len=seg_len, num_pol=num_pol, num_gaus=num_gaus) hprior = priors.hPrior(freqs=freqs, means=hprior_means, covariance=hprior_covariance, amplitudes=hprior_amplitudes, num_gaus=num_gaus, num_pol=num_pol) angprior = priors.angPrior(nside_exp=nside_exp) if opts.verbose and opts.time: print "\t", time.time()-to if opts.verbose: print "building network" if opts.time: to=time.time() network = utils.Network(detectors=[detectors[i] for i in detectors], freqs=freqs, Np = num_pol) if opts.verbose: print network if opts.time: print "\t", time.time()-to
print "\n----------------------------------\n"
print "building hPrior"
if opts.time:
to = time.time()
pareto_a=config.getfloat("hPrior","pareto_a")
n_gaus_per_dec=config.getfloat("hPrior","n_gaus_per_dec")
log10_min=np.log10(config.getfloat("hPrior","min"))
log10_max=np.log10(config.getfloat("hPrior","max"))
n_gaus = max(1, int(round((log10_max-log10_min)*n_gaus_per_dec,0)))
variances=np.logspace(log10_min, log10_max, n_gaus)**2
pareto_means, pareto_covariance, pareto_amps = priors.pareto(pareto_a, analysis_n_freqs, n_pol, variances)
hprior = priors.hPrior(analysis_freqs, pareto_means, pareto_covariance, amplitudes=pareto_amps, n_gaus=n_gaus, n_pol=n_pol)
if opts.time:
print "\t", time.time()-to
#=================================================
### build posterior_obj
#=================================================
if opts.verbose:
print "\n----------------------------------\n"
print "building posterior"
posterior = posteriors.Posterior(network=network, hPrior=hprior, angPrior=angprior, seglen=seglen)
if config.has_option("posterior","num_proc"):
posterior_num_proc=config.getint("posterior","num_proc")
pickle.dump(theta_inj, file_obj) pickle.dump(phi_inj, file_obj) pickle.dump(psi_inj, file_obj) pickle.dump(hrss_inj, file_obj) pickle.dump(snrs_inj, file_obj) file_obj.close() #================================================= # PRIORS #================================================= import priors print "hPrior" to=time.time() pareto_means, pareto_covariance, pareto_amps = priors.pareto(a, n_freqs, n_pol, variances) hprior_obj = priors.hPrior(freqs, pareto_means, pareto_covariance, amplitudes=pareto_amps, n_gaus=n_gaus, n_pol=n_pol, byhand=True) print "\t", time.time()-to print "angPrior" to=time.time() angprior_obj = priors.angPrior(nside_exp, prior_type=prior_type) print "\t", time.time()-to #================================================= # POSTERIORS #================================================= import posteriors print "posterior.__init__()" to=time.time() posterior_obj = posteriors.Posterior(network=network, hPrior=hprior_obj, angPrior=angprior_obj, seglen=seglen, data=None)