fig.savefig(figname)
plt.close(fig)
if opts.verbose and opts.time: print "\t\t", time.time()-to, "sec"
### compute basic statistics about the reconstruction
if opts.stats:
if opts.verbose:
print "\tcomputing statistics"
if opts.time: to=time.time()
statsfilename = "%s/stats-%d%s.txt"%(opts.output_dir, toa_ind, opts.tag)
### angular offset between max of the posterior and injection
cosDtheta = stats.cos_dtheta(est_theta, est_phi, inj_theta, inj_phi)
### searched area
p_value = stats.p_value(posterior, inj_theta, inj_phi, nside=nside)
searched_area = stats.searched_area(posterior, inj_theta, inj_phi, degrees=True)
### num_mode
num_mode = stats.num_modes(posterior, inj_theta, inj_phi, nside=nside)
### min{cosDtheta}
min_cosDtheta = stats.min_cos_dtheta(posterior, inj_theta, inj_phi, nside=nside)
### entropy
entropy = stats.entropy(posterior)
### information
info = stats.information(posterior)
statsfile = open(statsfilename, "w")
if not opts.skip_fits:
print "\twriting posterior to file"
fits = "%s/inj-%d%s.fits"%(opts.output_dir, inj_id, opts.tag)
to=time.time()
hp.write_map(fits, posterior)
print "\t\t", time.time()-to
fitsnames.append(fits)
#=================================================
# COMPUTE STATISTICS
#=================================================
if not opts.zero_data:
print "\tp_value"
to=time.time()
p_value[inj_id] = stats.p_value(posterior, theta, phi, nside=nside)
print "\t\t", p_value[inj_id]
print "\t\t", time.time()-to
print "\tsearched_area"
to=time.time()
searched_area[inj_id] = stats.searched_area(posterior, theta, phi, nside=nside, degrees=True)
print "\t\t", searched_area[inj_id]
print "\t\t", time.time()-to
print "\tcos_dtheta"
to=time.time()
cos_dtheta[inj_id] = stats.est_cos_dtheta(posterior, theta, phi)
print "\t\t", cos_dtheta[inj_id]
print "\t\t", time.time()-to
post, header = hp.read_map(fits, h=True, verbose=False)
NEST = (dict(header)['ORDERING'] == 'NEST')
npix = len(post)
nside = hp.npix2nside(npix)
print " nside=%d" % (nside)
pixarea = hp.nside2pixarea(nside, degrees=opts.degrees)
print " pixarea=%.6f %s" % (pixarea, areaunit)
### compute statistics and report them
if opts.pvalue:
if opts.Verbose:
print " pvalue"
pvalue = stats.p_value(post, theta, phi, nside=nside)
messages.append("cdf(%s) = %.3f %s" % (opts.pvalue, pvalue * 100, "%"))
if opts.searched_area:
if opts.Verbose:
print " searched_area"
sa = stats.searched_area(post,
stheta,
sphi,
nside=nside,
degrees=opts.degrees)
messages.append("searched_area(%s) = %.3f %s" %
(opts.searched_area, sa, areaunit))
# entropy -> size
if opts.entropy:
