def getSpecNorms(self, sedfile, mag, filtstr):
band = Bandpass()
band.readThroughput(os.path.join(self.tpath, "total_%s.dat"%(filtstr)))
imsimband = Bandpass()
imsimband.imsimBandpass()
sed = Sed()
sed.readSED_flambda(self.spath+"/"+sedfile)
fluxNorm = sed.calcFluxNorm(mag, band)
sed.multiplyFluxNorm(fluxNorm)
magNorm = sed.calcMag(imsimband)
return magNorm, fluxNorm
def getSpecNorms(self, sedfile, mag, filtstr):
band = Bandpass()
band.readThroughput(
os.path.join(self.tpath, "total_%s.dat" % (filtstr)))
imsimband = Bandpass()
imsimband.imsimBandpass()
sed = Sed()
sed.readSED_flambda(self.spath + "/" + sedfile)
fluxNorm = sed.calcFluxNorm(mag, band)
sed.multiplyFluxNorm(fluxNorm)
magNorm = sed.calcMag(imsimband)
return magNorm, fluxNorm
def mkGalPhot(self):
ifh = open(self.mfile)
lnum = 0
k = None
for l in ifh:
flds = l.rstrip().split()
if l.startswith("Opsim_filter"):
self.filter = self.filtmap[int(flds[1])]
k = self.filter
ifh.close()
ifh = open(self.tfile)
for l in ifh:
flds = l.rstrip().split()
if not flds[0] == "object":
continue
otype = flds[12]
if otype != "sersic2D":
continue
id = float(flds[1])
if not self.centdata.has_key(id):
continue
magNorm = float(flds[4])
spec = flds[5]
redshift = float(flds[6])
ind = float(flds[16])
mwav = float(flds[21])
av = float(flds[18])
sed = Sed()
sed.readSED_flambda(self.spath+"/"+spec)
a_int, b_int = sed.setupCCMab()
self.outdata['id'].append(id)
if lnum > self.donum and self.donum is not None:
break
if lnum%10000 == 0:
print id
fluxNorm = sed.calcFluxNorm(magNorm, self.imsimband)
sed.multiplyFluxNorm(fluxNorm/(1+redshift))
sed.addCCMDust(a_int, b_int, A_v=av)
sed.redshiftSED(redshift, dimming=False)
a_mw, b_mw = sed.setupCCMab()
sed.addCCMDust(a_mw, b_mw, A_v=mwav)
line = {'flux':None, 'mag':None}
mag = sed.calcMag(self.bands[k])
flux = sed.calcADU(self.bands[k], gain=1.0)
line['mag'] = mag
line['flux'] = flux
self.outdata[k].append(line)
lnum += 1
ifh.close()
def mkStarPhot(self):
ifh = open(self.mfile)
lnum = 0
k = None
for l in ifh:
flds = l.rstrip().split()
if l.startswith("Opsim_filter"):
self.filter = self.filtmap[int(flds[1])]
k = self.filter
ifh.close()
ifh = open(self.tfile)
for l in ifh:
flds = l.rstrip().split()
if not flds[0] == "object":
continue
otype = flds[12]
if otype != "point":
continue
id = float(flds[1])
if not self.centdata.has_key(id):
continue
magNorm = float(flds[4])
spec = flds[5]
av = float(flds[14])
sed = Sed()
self.outdata['id'].append(id)
if re.search("kurucz", spec):
sed.readSED_flambda(self.spath+"/"+spec)
else:
sed.readSED_flambda(self.spath+"/"+spec)
fluxNorm = sed.calcFluxNorm(magNorm, self.imsimband)
sed.multiplyFluxNorm(fluxNorm)
a, b = sed.setupCCMab()
sed.addCCMDust(a, b, A_v=av)
line = {'flux':None, 'mag':None}
mag = sed.calcMag(self.bands[k])
flux = sed.calcADU(self.bands[k], gain=1.)
line['mag'] = mag
line['flux'] = flux
self.outdata[k].append(line)
lnum += 1
ifh.close()
def calcMagNorm(self, spec, mag, redshift, filter='i'): """Calculate the SED normalization given a spectrum, redshift, and reference magnitude. ***This assumes not host redenning.*** """ #Setup the filters imsimband = Bandpass() imsimband.imsimBandpass() #setup the sed sed = Sed() sed.readSED_flambda(os.path.join(self.spath,spec)) #need the rest frame spectrum for calculating the mag norm since #the normalization is applied in the rest frame sed_orig = deepcopy(sed) #Redshift the spectrum sed.redshiftSED(redshift, dimming=True) #Calculate the normalization using the reference magnitude fluxNorm = sed.calcFluxNorm(mag, self.bands[filter]) sed_orig.multiplyFluxNorm(fluxNorm) #Calculate the normalization in units of magnitudes magNorm = sed_orig.calcMag(imsimband) return magNorm, fluxNorm
def calcMagNorm(self, spec, mag, redshift, filter='i'):
"""Calculate the SED normalization given a spectrum, redshift, and
reference magnitude. ***This assumes not host redenning.***
"""
#Setup the filters
imsimband = Bandpass()
imsimband.imsimBandpass()
#setup the sed
sed = Sed()
sed.readSED_flambda(os.path.join(self.spath, spec))
#need the rest frame spectrum for calculating the mag norm since
#the normalization is applied in the rest frame
sed_orig = deepcopy(sed)
#Redshift the spectrum
sed.redshiftSED(redshift, dimming=True)
#Calculate the normalization using the reference magnitude
fluxNorm = sed.calcFluxNorm(mag, self.bands[filter])
sed_orig.multiplyFluxNorm(fluxNorm)
#Calculate the normalization in units of magnitudes
magNorm = sed_orig.calcMag(imsimband)
return magNorm, fluxNorm
