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 calcLSSTMags(self, sedfile, fluxnorm):
sed = Sed()
sed.readSED_flambda(self.spath+"/"+sedfile)
sed.multiplyFluxNorm(fluxnorm)
mags = []
for filtstr in ('u', 'g', 'r', 'i', 'z', 'y'):
band = Bandpass()
band.readThroughput(os.path.join(self.tpath, "total_%s.dat"%(filtstr)))
imsimband = Bandpass()
imsimband.imsimBandpass()
mags.append(sed.calcMag(band))
return mags
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 calcLSSTMags(self, sedfile, fluxnorm):
sed = Sed()
sed.readSED_flambda(self.spath + "/" + sedfile)
sed.multiplyFluxNorm(fluxnorm)
mags = []
for filtstr in ('u', 'g', 'r', 'i', 'z', 'y'):
band = Bandpass()
band.readThroughput(
os.path.join(self.tpath, "total_%s.dat" % (filtstr)))
imsimband = Bandpass()
imsimband.imsimBandpass()
mags.append(sed.calcMag(band))
return mags
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
def calcAbsMag(self, mag, D_L, spec, redshift, filter='i'): """Calculate an absolute magnitude given a filter, luminosity distance, apparent magnitude, sed, and redshift """ #Get default locations for filters and seds #Set up filters and sed imsimband = Bandpass() imsimband.imsimBandpass() sed = Sed() sed.readSED_flambda(os.path.join(self.spath,spec)) #Calculate rest frame magnitude magr = sed.calcMag(self.bands[filter]) #redshift spectrum sed.redshiftSED(redshift, dimming=False) #calculate observed frame magnitude mago = sed.calcMag(self.bands[filter]) #SED portion of the K-correction Kcorr = mago-magr #Cosmological portion of the K-correction due to the dilation of the #filter Kcorrz = 2.5*numpy.log10(1+redshift) #D_L is in Mpc so the normal relation goes 5.(log(D_L) +6.-1.) absMag = mag - (5.*(numpy.log10(D_L) + 5.)) - Kcorr - Kcorrz return absMag
def calcAbsMag(self, mag, D_L, spec, redshift, filter='i'):
"""Calculate an absolute magnitude given a filter, luminosity distance,
apparent magnitude, sed, and redshift
"""
#Get default locations for filters and seds
#Set up filters and sed
imsimband = Bandpass()
imsimband.imsimBandpass()
sed = Sed()
sed.readSED_flambda(os.path.join(self.spath, spec))
#Calculate rest frame magnitude
magr = sed.calcMag(self.bands[filter])
#redshift spectrum
sed.redshiftSED(redshift, dimming=False)
#calculate observed frame magnitude
mago = sed.calcMag(self.bands[filter])
#SED portion of the K-correction
Kcorr = mago - magr
#Cosmological portion of the K-correction due to the dilation of the
#filter
Kcorrz = 2.5 * numpy.log10(1 + redshift)
#D_L is in Mpc so the normal relation goes 5.(log(D_L) +6.-1.)
absMag = mag - (5. * (numpy.log10(D_L) + 5.)) - Kcorr - Kcorrz
return absMag
class testPhotTrim (object):
def __init__(self, metafile, trimfilename, centfilename, outfile, donum = None):
self.datadir = os.environ.get("SIMS_DATA_DIR")
self.tpath = os.getenv('LSST_THROUGHPUTS_DEFAULT')
self.spath = os.getenv('SIMS_SED_LIBRARY_DIR')
self.bands = {"u":None, "g":None, "r":None, "i":None, "z":None, "y":None}
keys = self.bands.keys()
for k in keys:
self.bands[k] = Bandpass()
self.bands[k].readThroughput(os.path.join(self.tpath, "total_%s.dat"%k))
self.imsimband = Bandpass()
self.imsimband.imsimBandpass()
self.mfile = metafile
self.tfile = trimfilename
self.ofile = outfile
self.outdata = {'id':[],'u':[], 'g':[], 'r':[], 'i':[], 'z':[],
'y':[]}
self.centdata = self.readCentroid(centfilename)
self.filtmap = {0:'u', 1:'g', 2:'r', 3:'i', 4:'z', 5:'y'}
self.filter = None
self.donum = donum
def readCentroid(self,file):
ifh = open(file)
data = {}
for l in ifh:
flds = l.rstrip().split()
if flds[0].startswith("Source") or int(flds[1]) == 0:
continue
data[float(flds[0])] = {'photons':int(flds[1]), 'x':float(flds[2]), 'y':float(flds[3])}
return data
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 printComp(self):
ofh = open(self.ofile, "w")
for id, mag in zip(self.outdata['id'], self.outdata[self.filter]):
if self.centdata.has_key(id):
line = (id,mag['mag'],mag['flux'],self.centdata[id]['photons'])
ofh.write(",".join([str(el) for el in line])+"\n")
ofh.close()
import os
import numpy
import selfcal.analyze.useful_input as ui
import lsst.sims.catalogs.measures.photometry.Sed as Sed
import lsst.sims.catalogs.measures.photometry.Bandpass as Bandpass
# filter id table:
filterlist = ('u', 'g', 'r', 'i', 'z', 'y')
filterdict = {'u':0, 'g':1, 'r':2, 'i':3, 'z':4, 'y':5}
rootdir = os.getenv("LSST_THROUGHPUTS_BASELINE")
lsst = {}
for f in filterlist:
lsst[f] = Bandpass()
lsst[f].readThroughput(rootdir + "/total_" + f + ".dat")
imsimband = Bandpass()
imsimband.imsimBandpass()
# set up colors of objects in all bandpasses
rootdir_sed = "."
sedlist = ('S.dat', 'C.dat')
simobjs = {}
simmags = {}
for sed in sedlist:
simobjs[sed] = Sed()
simobjs[sed].readSED_flambda(rootdir_sed + sed)
simmags[sed] = {}
for filter in filterlist:
simmags[sed][filter] = simobjs[sed].calcMag(lsst[filter])
simmags[sed]['ims'] = simobjs[sed].calcMag(imsimband)
import os
import numpy
import selfcal.analyze.useful_input as ui
import lsst.sims.catalogs.measures.photometry.Sed as Sed
import lsst.sims.catalogs.measures.photometry.Bandpass as Bandpass
# filter id table:
filterlist = ('u', 'g', 'r', 'i', 'z', 'y')
filterdict = {'u': 0, 'g': 1, 'r': 2, 'i': 3, 'z': 4, 'y': 5}
rootdir = os.getenv("LSST_THROUGHPUTS_BASELINE")
lsst = {}
for f in filterlist:
lsst[f] = Bandpass()
lsst[f].readThroughput(rootdir + "/total_" + f + ".dat")
imsimband = Bandpass()
imsimband.imsimBandpass()
# set up colors of objects in all bandpasses
rootdir_sed = "."
sedlist = ('S.dat', 'C.dat')
simobjs = {}
simmags = {}
for sed in sedlist:
simobjs[sed] = Sed()
simobjs[sed].readSED_flambda(rootdir_sed + sed)
simmags[sed] = {}
for filter in filterlist:
simmags[sed][filter] = simobjs[sed].calcMag(lsst[filter])
simmags[sed]['ims'] = simobjs[sed].calcMag(imsimband)
# open and read file containing obshistids (key to catalog and to opsim)
