def addTargetSetToCatalog(catalog,config):
# returns a catalog which includes the target set
from uw.like.roi_catalogs import SourceCatalog
from skymaps import SkyDir
from dsphs.base.target import load_targets_from_config
if not isinstance(catalog,SourceCatalog):
raise Exception("before merging, catalog must be source catalog")
if config['randomize']['profile'] is None:
config['randomize']['profile']='point'
print RuntimeWarning("no randomize.profile chosen, falling back to point")
if config['randomize']['vetoyaml'] is None:
# do nothing.
return catalog
cfg = copy.deepcopy(config)
del config
# work entirely on 2nd config.
cfg['targetfile'] = cfg['randomize']['vetoyaml']
target_set = load_targets_from_config(cfg) # this one load what's in vetoyaml
target_set.set_profile(cfg['randomize']['profile'])
print 'loaded %i sources with profile %s'%(len(target_set),cfg['randomize']['profile'])
tlist = [t.get_source_model(profile=cfg['randomize']['profile']) for t in target_set]
ps, ds = [], []
if cfg['randomize']['profile']=="point": ps = tlist
else: ds = tlist
#print ps, ds
print 'merging %i sources with catalog containing %i sources'%(len(target_set),
len(catalog.get_sources(SkyDir(0,0,SkyDir.GALACTIC),radius=180.)))
cnew = catalog.merge_lists(SkyDir(0,0,SkyDir.GALACTIC),radius=180.,user_point_list=ps,user_diffuse_list=ds)
catalog.sources = cnew[0]+cnew[1] # joint catalogs
del cfg # cleanup
print 'size after merger %i'%len(catalog.sources)
return catalog
# logLike3 -- likelihood with user-defined SED input file
sedfiles = [sedfile]
suffixes = ['logLike2']
decay = False
if config['decay']:
print '*DECAY mode requested*'
decay = True
if opts.seddir is not None:
sedfiles += [join(opts.seddir,"analysis/%s/pwl/%s/%s_sed.yaml"%
(opts.target,sed_index,opts.target))]
suffixes += ['logLike3']
for sedfile, suffix in zip(sedfiles,suffixes):
TARGETS = load_targets_from_config(config)
jnominal = TARGETS[opts.target].get_safe_jvalue(profile)
target = TARGETS[opts.target]
workdir=join(basedir,"analysis/%s/%s/"%(target,opts.spectrum))
# Form of the likelihood function
fntypes = ['lgauss','lgauss_like','lgauss']
# Methods
methods = ['profile','profile','marginalize']
# Apply correction to J factor
rescale = [True, False, False]
# Create an array of target sets with randomized J values
