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semi_coherent_search_using_MCMC.py
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Gregory Ashton authoredThis renames the input sftfilepath to sftfilepattern and adds documentation on how that should be used, i.e. a colon separated list of wildstring or exact matches. In globbing for all matches, the colon split is added in. sftfilepath is still used by `Writer` since an exact path is known.
Gregory Ashton authoredThis renames the input sftfilepath to sftfilepattern and adds documentation on how that should be used, i.e. a colon separated list of wildstring or exact matches. In globbing for all matches, the colon split is added in. sftfilepath is still used by `Writer` since an exact path is known.
semi_coherent_glitch_search.py 1.03 KiB
import pyfstat
F0 = 30.0
F1 = -1e-10
F2 = 0
Alpha = 5e-3
Delta = 6e-2
tref = 362750407.0
tstart = 1000000000
duration = 100*86400
tend = tstart + duration
theta_prior = {'F0': {'type': 'norm', 'loc': F0, 'scale': abs(1e-6*F0)},
'F1': {'type': 'norm', 'loc': F1, 'scale': abs(1e-6*F1)},
'F2': F2,
'Alpha': Alpha,
'Delta': Delta,
'delta_F0': {'type': 'halfnorm', 'loc': 0,
'scale': 1e-5*F0},
'delta_F1': 0,
'tglitch': {'type': 'unif',
'lower': tstart+0.1*duration,
'upper': tstart+0.9*duration},
}
nwalkers = 500
nsteps = [1000, 1000, 1000]
mcmc = pyfstat.MCMCGlitchSearch(
'semi_coherent_glitch_search', 'data', sftfilepath='data/*_glitch*sft',
theta_prior=theta_prior, tref=tref, tstart=tstart, tend=tend,
nsteps=nsteps, nwalkers=nwalkers, scatter_val=1e-10, nglitch=1)
mcmc.run()
mcmc.plot_corner(add_prior=True)
mcmc.print_summary()