def update_lnlfn(self):
self.lnlfn = LnLFn(self.eflux,self.logLike)
class SEDBin(SetItem):
def __init__(self,name,emin,emax,**kwargs):
super(SEDBin,self).__init__(name)
self.nobs = np.nan
self.binTs = np.nan
self.emin,self.emax = emin,emax
self.pulimit,self.bulimit = np.nan, np.nan
self.pllimit,self.bllimit = np.nan, np.nan
self.__dict__.update(**kwargs)
self.update_lnlfn()
self.update_ulimit()
self.update_llimit()
self.update_mle()
def get_value(self, value):
return self.__dict__[value]
def update_ulimit(self,alpha=0.05,ulimit='pulimit'):
if ulimit=='pulimit':
self.update_pulimit(alpha)
elif ulimit=='bulimit':
self.update_bulimit(alpha)
else:
raise ValueError('Limit not implemented: %s'%ulimit)
def update_pulimit(self,alpha=0.05):
try:
self.pulimit = ProfileLimit(self.eflux,self.logLike).getLimit(alpha)
except ValueError as e:
print "WARNING: Unable to compute upper limit: ", e
self.pulimit = np.nan
def update_bulimit(self,alpha=0.05):
try:
self.bulimit = BayesianLimit(self.eflux,self.logLike).getLimit(alpha)
except ValueError as e:
print "WARNING: Unable to compute upper limit: ", e
self.bulimit = np.nan
def update_llimit(self,alpha=0.05,llimit='pllimit'):
if llimit=='pllimit':
self.update_pllimit(alpha)
else:
raise ValueError('Limit not implemented: %s'%llimit)
def update_pllimit(self,alpha=0.05):
try:
self.pllimit = ProfileLimit(self.eflux,self.logLike).getLowerLimit(alpha)
except ValueError as e:
print "WARNING: Unable to compute lower limit: ", e
self.pllimit = np.nan
def update_lnlfn(self):
self.lnlfn = LnLFn(self.eflux,self.logLike)
def update_mle(self):
self.mle = self.lnlfn.mle()
def todict(self):
return dict( emin=self.emin, emax=self.emax,
flux=self.flux, eflux=self.eflux,
logLike=self.logLike,
eflux2npred=self.eflux2npred,
nobs = self.nobs, binTs = self.binTs
)
def __str__(self):
np.set_printoptions(precision=3)
s = "SED bin (%s):\n"%self.name
s+= " energy: [%g, %g]\n"%(self.emin,self.emax)
s+= " eflux: %s\n"%str(self.eflux)
s+= " logLike: %s"%str(self.logLike)
np.set_printoptions()
return s
else: md -= 0.1
print 'Info: added padding to matching radius according to bracket'
matching_disk = ("%1.1f"%md).replace(".","d")
print 'best matching radius : %s'%matching_disk
# load matching SED file
sedfile = join(datadir,config['sed'][matching_disk])
print 'Loading SED file:', sedfile
sed = SED.read_yaml(sedfile)
# global logLike
print 'get global logLike given the spectral form'
pd = sed.get_global_logLike(model.spectrum, config['jsigma'])
(norm, flux, lnl, p1lnl, flnl) = pd
lnlx = norm; lnly = lnl
print 'Calculating limits.'
try:
lnlfn = LnLFn(lnlx,lnly)
p1lnlfn = LnLFn(lnlx,p1lnl)
r['models'][i]=str(model)
r['mle'][i] = lnlfn.mle()
r['ulimits68'][i] = ProfileLimit( lnlx, lnly).getLimit( 0.32 )
r['fluxes68'][i] = ProfileLimit( flux, flnl).getLimit( 0.32 )
r['ulimits95'][i] = ProfileLimit( lnlx, lnly).getLimit( 0.05 )
r['fluxes95'][i] = ProfileLimit( flux, flnl).getLimit( 0.05 )
r['ulimits99'][i] = ProfileLimit( lnlx, lnly).getLimit( 0.01 )
r['fluxes99'][i] = ProfileLimit( flux, flnl).getLimit( 0.01 )
r['ts'][i] = float(2*(p1lnlfn(p1lnlfn.mle()) - p1lnlfn(0)))
r['matching_radius'][i]=matching_disk
r['fom']=foms
except Exception, message:
print 'caught exception ',message
continue
