fix redshift calculation method

produceSED_1.py

@@ -239,7 +239,7 @@ def getObservedSED(sedCat, redshift=0.0, av=0.0, redden=0):
     sw, sf = sedCat[:,0], sedCat[:,1]
     # reddening
     sf = reddening(sw, sf, av=av, model=redden)
-    sw, sf = sw*z, sf*(z**3)
+    sw, sf = sw*z, sf/z
     # lyman forest correction
     sf = lyman_forest(sw, sf, redshift)
     isedObs = (sw.copy(), sf.copy())
@@ -482,7 +482,9 @@ def produceGalSED_C6( gal_id_s = '03593100052300144566', gal_z = 1.6927,mag_norm
     pcs = pcs['pcs'][()]
 
     cosmo = FlatLambdaCDM(H0=67.66, Om0=0.3111)
-    factor = 10**(-.4 * cosmo.distmod(gal_z).value)
+    factor=1
+    if gal_z != 0:
+        factor = 10**(-.4 * cosmo.distmod(gal_z).value)
     flux = np.matmul(pcs, coeff) * factor
 
     flux[flux < 0] = 0.
@@ -501,11 +503,12 @@ def produceGalSED_C6( gal_id_s = '03593100052300144566', gal_z = 1.6927,mag_norm
     all_sed = y * lamb / (cons.h.value * cons.c.value) * 1e-13
     orig_spec_phot = Table(np.array([lamb, all_sed]).T, names=('WAVELENGTH', 'FLUX'))
 
-    normThr = Table.read(norm_filter_thr_fn)
-    # orig_spec = Table(np.array([wave,flux]).T,  names=(['WAVELENGTH', 'FLUX']))
-    norm_thr_rang_ids = normThr['SENSITIVITY'] > 0.001
+    
     sedNormFactor=1.0
     if mag_norm != -99:
+        normThr = Table.read(norm_filter_thr_fn)
+        # orig_spec = Table(np.array([wave,flux]).T,  names=(['WAVELENGTH', 'FLUX']))
+        norm_thr_rang_ids = normThr['SENSITIVITY'] > 0.001
         sedNormFactor = getNormFactorForSpecWithABMAG(ABMag=mag_norm, spectrum=orig_spec_phot,
                                                     norm_thr=normThr,
                                                     sWave=np.floor(normThr[norm_thr_rang_ids][0][0]),
@@ -516,10 +519,8 @@ def produceGalSED_C6( gal_id_s = '03593100052300144566', gal_z = 1.6927,mag_norm
 
     return norm_spec, norm_spec_phot
 
-
 fileDir = os.getcwd()
 
-
 #normlization filter star
 # star_norm_fn = '/Users/zhangxin/Work/SlitlessSim/sed/produceSED_bycatfile/data/throughputs/SDSS/SLOAN_SDSS.g.fits'
 star_norm_fn = os.path.join(fileDir, "data/throughputs/SDSS/SLOAN_SDSS.g.fits")
@@ -562,4 +563,3 @@ gal_spec, gal_spec_photo = produceGalSED_C6(gal_id_s = '03490800052300010462', g
 #     mag = getABMAG(spec_p, throughput_dir+fi+'.Throughput.fits')
 #     print(fi,mag)
 
-