def phase_ltcube(ltcube,phase,savedir):
if np.allclose(phase.phase_fraction,1):
phased_ltcube = ltcube
else:
# create a temporary ltcube scaled by the phase factor
phased_ltcube=join(savedir,'phased_ltcube.fits')
if not os.path.exists(phased_ltcube):
phasetools.phase_ltcube(ltcube,phased_ltcube, phase=phase)
return phased_ltcube
def phase_ltcube(ltcube, phase, savedir):
if np.allclose(phase.phase_fraction, 1):
phased_ltcube = ltcube
else:
# create a temporary ltcube scaled by the phase factor
phased_ltcube = join(savedir, 'phased_ltcube.fits')
if not os.path.exists(phased_ltcube):
phasetools.phase_ltcube(ltcube, phased_ltcube, phase=phase)
return phased_ltcube
def time_cut(roi, tstart, tstop, subdir, use_pointlike_ltcube, verbosity):
""" Create a new ROI given a time cut. """
sa = roi.sa
ds = sa.dataspec
get_defaults=lambda obj: [k[0] for k in obj.defaults if not isinstance(k,str)]
get_kwargs=lambda obj: {k:obj.__dict__[k] for k in get_defaults(obj)}
ds_kwargs, sa_kwargs, roi_kwargs = map(get_kwargs,[ds,sa,roi])
point_sources = [i.copy() for i in roi.psm.point_sources]
diffuse_sources = [i.copy() for i in roi.dsm.diffuse_sources]
if sa_kwargs['tstart'] !=0 or sa_kwargs['tstop'] !=0:
raise Exception("sanity check")
# * cut ft1file on time using gtselect
ft2files=roi.sa.pixeldata.ft2files
if len(ft2files) > 1: raise Exception("...")
ft2file=ft2files[0]
evfile=Gtlike.make_evfile(roi,subdir)
cut_evfile=join(subdir,"cut_ft1_%s_%s.fits" % (tstart, tstop))
if not exists(cut_evfile):
if verbosity: print 'Running gtselect'
gtselect=GtApp('gtselect', 'dataSubselector')
gtselect.run(infile=evfile,
outfile=cut_evfile,
ra=0, dec=0, rad=180,
tmin=tstart, tmax=tstop,
emin=1, emax=1e7,
zmax=180)
else:
if verbosity: print '... Skiping gtselect for %s to %s' % (tstart,tstop)
ds_kwargs['ft1files'] = cut_evfile
# * create new binfile and ltcube
ds_kwargs['binfile'] = join(subdir,'binned_%s_%s.fits' % (tstart, tstop))
# save this to see if it has been phased by
# the function uw.utilities.phasetools.phase_ltcube
all_time_ltcube = ds_kwargs['ltcube']
new_ltcube = join(subdir,'ltcube_%s_%s.fits' % (tstart, tstop))
if not exists(new_ltcube):
if verbosity: print 'Running gtltcube for %s to %s' % (tstart,tstop)
if use_pointlike_ltcube:
pointlike_ltcube(evfile=cut_evfile,
scfile=ft2file,
outfile=new_ltcube,
dcostheta=0.025,
binsz=1,
zmax=roi.sa.zenithcut,
cone_angle=roi.sa.exp_radius,
dir=roi.roi_dir)
else:
gtltcube=GtApp('gtltcube', 'Likelihood')
gtltcube.run(evfile=cut_evfile,
scfile=ft2file,
outfile=new_ltcube,
dcostheta=0.025,
binsz=1)
else:
if verbosity: print '... Skiping gtltcube for %s to %s' % (tstart,tstop)
# next, check if ltcube is phased, kind of a kluge
f = pyfits.open(all_time_ltcube)
if f['exposure'].header.has_key('PHASE'):
assert f['exposure'].header['PHASE'] == f['weighted_exposure'].header['PHASE']
# If so, phase new ltcube
phase = f['exposure'].header['PHASE']
phased_ltcube = join(subdir,'phased_ltcube_%s_%s.fits' % (tstart, tstop))
if not exists(phased_ltcube):
phase_ltcube(new_ltcube, phased_ltcube, phase)
else:
if verbosity: print '... Skiping gtltcube phasing for %s to %s' % (tstart,tstop)
ds_kwargs['ltcube'] = phased_ltcube
else:
ds_kwargs['ltcube'] = new_ltcube
# * create new ds, sa, and roi
new_ds = DataSpecification(**ds_kwargs)
sa = SpectralAnalysis(new_ds, **sa_kwargs)
return sa.roi(
point_sources = point_sources,
diffuse_sources = diffuse_sources,
**roi_kwargs)
def time_cut(roi, tstart, tstop, subdir, use_pointlike_ltcube, verbosity):
""" Create a new ROI given a time cut. """
sa = roi.sa
ds = sa.dataspec
get_defaults = lambda obj: [
k[0] for k in obj.defaults if not isinstance(k, str)
]
get_kwargs = lambda obj: {
k: obj.__dict__[k]
for k in get_defaults(obj)
}
ds_kwargs, sa_kwargs, roi_kwargs = map(get_kwargs, [ds, sa, roi])
point_sources = [i.copy() for i in roi.psm.point_sources]
diffuse_sources = [i.copy() for i in roi.dsm.diffuse_sources]
if sa_kwargs['tstart'] != 0 or sa_kwargs['tstop'] != 0:
raise Exception("sanity check")
# * cut ft1file on time using gtselect
ft2files = roi.sa.pixeldata.ft2files
if len(ft2files) > 1: raise Exception("...")
ft2file = ft2files[0]
evfile = Gtlike.make_evfile(roi, subdir)
cut_evfile = join(subdir, "cut_ft1_%s_%s.fits" % (tstart, tstop))
if not exists(cut_evfile):
if verbosity: print 'Running gtselect'
gtselect = GtApp('gtselect', 'dataSubselector')
gtselect.run(infile=evfile,
outfile=cut_evfile,
ra=0,
dec=0,
rad=180,
tmin=tstart,
tmax=tstop,
emin=1,
emax=1e7,
zmax=180)
else:
if verbosity:
print '... Skiping gtselect for %s to %s' % (tstart, tstop)
ds_kwargs['ft1files'] = cut_evfile
# * create new binfile and ltcube
ds_kwargs['binfile'] = join(subdir,
'binned_%s_%s.fits' % (tstart, tstop))
# save this to see if it has been phased by
# the function uw.utilities.phasetools.phase_ltcube
all_time_ltcube = ds_kwargs['ltcube']
new_ltcube = join(subdir, 'ltcube_%s_%s.fits' % (tstart, tstop))
if not exists(new_ltcube):
if verbosity:
print 'Running gtltcube for %s to %s' % (tstart, tstop)
if use_pointlike_ltcube:
pointlike_ltcube(evfile=cut_evfile,
scfile=ft2file,
outfile=new_ltcube,
dcostheta=0.025,
binsz=1,
zmax=roi.sa.zenithcut,
cone_angle=roi.sa.exp_radius,
dir=roi.roi_dir)
else:
gtltcube = GtApp('gtltcube', 'Likelihood')
gtltcube.run(evfile=cut_evfile,
scfile=ft2file,
outfile=new_ltcube,
dcostheta=0.025,
binsz=1)
else:
if verbosity:
print '... Skiping gtltcube for %s to %s' % (tstart, tstop)
# next, check if ltcube is phased, kind of a kluge
f = pyfits.open(all_time_ltcube)
if f['exposure'].header.has_key('PHASE'):
assert f['exposure'].header['PHASE'] == f[
'weighted_exposure'].header['PHASE']
# If so, phase new ltcube
phase = f['exposure'].header['PHASE']
phased_ltcube = join(subdir,
'phased_ltcube_%s_%s.fits' % (tstart, tstop))
if not exists(phased_ltcube):
phase_ltcube(new_ltcube, phased_ltcube, phase)
else:
if verbosity:
print '... Skiping gtltcube phasing for %s to %s' % (
tstart, tstop)
ds_kwargs['ltcube'] = phased_ltcube
else:
ds_kwargs['ltcube'] = new_ltcube
# * create new ds, sa, and roi
new_ds = DataSpecification(**ds_kwargs)
sa = SpectralAnalysis(new_ds, **sa_kwargs)
return sa.roi(point_sources=point_sources,
diffuse_sources=diffuse_sources,
**roi_kwargs)
