def calibrate(source,filtername,survey="UKIDSS"):
flag_limit = 2
sex = sextractor.SExtractor()
my_catalog = sex.catalog()
g = Table(my_catalog)
#print(g)
my_catalog = g[(g['FLAGS'] < flag_limit)]
#print(my_catalog)
alpha = []
delta = []
for star in my_catalog:
alpha.append(star['ALPHA_J2000'])
delta.append(star['DELTA_J2000'])
if survey == "2MASS":
t = Table.read(os.path.join(source+"_data",source+"_2MASS_cat.vot"),format='votable')
#print(t)
if filtername == "K_1":
twomass_magname = "k_m"
twomass_errname = "k_msigcom"
if filtername == "H":
twomass_magname = "h_m"
twomass_errname = "h_msigcom"
if filtername == "J":
twomass_magname = "j_m"
twomass_errname = "j_msigcom"
t = t[(t[twomass_magname] < 16) & (t[twomass_magname] > 10) & (t[twomass_errname] > 0) & (t[twomass_errname] < 0.1)]
idxs1, idxs2, ds = pyspherematch.spherematch(np.array(alpha),np.array(delta),np.array(t['ra']),
np.array(t['dec']),tol=1./3600.)
else:
#This might be broken now
t = Table.read(os.path.join(source+"_data",source+"_"+survey+"_cat.fits"),type='fits')
ukidss_filter = filtername+"AperMag3"
ukidss_err = filtername+"AperMag3Err"
idxs1, idxs2, ds = pyspherematch.spherematch(np.array(alpha),np.array(delta),t['RA'],
t['Dec'],tol=2/3600.)
my_mag = my_catalog[idxs1]['MAG_APER']
catalog_mag = t[idxs2][twomass_magname]
errs = np.sqrt(t[idxs2][twomass_errname]**2+my_catalog[idxs1]['MAGERR_APER']**2)
a = np.average(np.array(my_mag)-np.array(catalog_mag),weights = np.array(errs))
b = np.median(np.array(my_mag)-np.array(catalog_mag))
poss_zp = np.array([a,b])
#ii = np.argmin(np.absolute(poss_zp))
#zp = poss_zp[ii]
#This median just seems far more reliable
zp = b
plt.clf()
plt.plot(my_mag,catalog_mag,'ko')
plt.plot(my_mag-zp,catalog_mag,'ro')
plt.xlabel("Raw magnitude")
plt.ylabel("Catalog magnitude [2MASS]")
plt.plot([11,17],[11,17],color='red')
plt.xlim([11,18])
plt.ylim([11,18])
plt.savefig(os.path.join(source+"_data",source+"_zp_"+filtername+".png"))
plt.close('all')
#zp = np.min(a,b)
print(source)
print("Possible ZP:")
print(poss_zp)
print(filtername)
print("ZP: "+str(round(zp,3)))
return(zp)
def do_phot(sex,source,survey="UKIDSS"):
print("Doing H photometry...")
sex.run(os.path.join(source+"_data",source+"_"+survey+"_H.fits"))
#print(os.path.join(source+"_data",source+"_"+survey+"_trim_H.fits"))
#Hcatalog = sex.catalog("py-sextractor.cat")
Hcatalog = sex.catalog()
print("Doing K photometry...")
sex.run(os.path.join(source+"_data",source+"_"+survey+"_K.fits"))
Kcatalog = sex.catalog()
try:
k_correct = determine_zp.calibrate(source,"K_1",survey="2MASS")
except ValueError:
print("Failed to calibrate, assuming no correction")
k_correct = 0
if ((k_correct > 0.5) or (k_correct < -0.5)):
print("*** Large ZP correction for K ("+str(k_correct)+") ***")
print("Completeness for "+source+" likely wrong")
print("Doing J photometry...")
sex.run(os.path.join(source+"_data",source+"_"+survey+"_J.fits"))
Jcatalog = sex.catalog()
try:
j_correct = determine_zp.calibrate(source,"J",survey="2MASS")
except IndexError:
print("Failed to calibrate, assuming no correction")
j_correct = 0
Kcatalog = Table(Kcatalog)
Jcatalog = Table(Jcatalog)
Kcatalog = Kcatalog[(Kcatalog['FLAGS'] < flag_limit)]
Jcatalog = Jcatalog[(Jcatalog['FLAGS'] < flag_limit)]
#print(Kcatalog)
idxs1, idxs2, ds = pyspherematch.spherematch(np.array(Kcatalog['ALPHA_J2000']),
np.array(Kcatalog['DELTA_J2000']),
np.array(Jcatalog['ALPHA_J2000']),
np.array(Jcatalog['DELTA_J2000']),tol=1./3600.)
Kcatalog['MAG_APER'] -= k_correct
Jcatalog['MAG_APER'] -= j_correct
ra = Kcatalog[idxs1]['ALPHA_J2000']
dec = Kcatalog[idxs1]['DELTA_J2000']
gc = coordinates.ICRS(ra,dec, unit=(u.degree, u.degree))
galcoords = gc.galactic
L = galcoords.l.degree
B = galcoords.b.degree
Jmag = Jcatalog[idxs2]['MAG_APER']
Kmag = Kcatalog[idxs1]['MAG_APER']
JminK = Jmag - Kmag
#print(JminK)
t = Table([ra,dec,L,B,Jmag,Kmag,JminK],names=('RA','Dec','L','B','JMag','KMag','JminK'))
try:
os.remove(os.path.join(source+"_data",source+"_MyCatalog_"+survey+".vot"))
except:
pass
t.write(os.path.join(source+"_data",source+"_MyCatalog_"+survey+".vot"),format='votable')
catlist = [Kcatalog,Hcatalog,Jcatalog]
filterlist = ["K","H","J"]
for cat,filtername in zip(catlist,filterlist):
ra = []
dec = []
mag = []
magerr = []
flags = []
L = []
B = []
for star in cat:
ra.append(star['ALPHA_J2000'])
dec.append(star['DELTA_J2000'])
mag.append(star['MAG_APER'])
magerr.append(star['MAGERR_APER'])
flags.append(star['FLAGS'])
t = Table([ra,dec,mag,magerr,flags],names=('RA','Dec','Mag'+filtername,'MagErr'+filtername,'Flags'+filtername))
try:
os.remove(os.path.join(source+"_data",source+"_MyCatalog_"+survey+"_"+filtername+".vot"))
except:
pass
t.write(os.path.join(source+"_data",source+"_MyCatalog_"+survey+"_"+filtername+".vot"),format='votable')
sex.clean(config=True,catalog=True,check=True)
f = open(os.path.join(source+"_data/",source+"_zpcorr_"+survey+".pkl"),'w')
pickle.dump(k_correct,f)
f.close()
return(k_correct)
def do_phot(sex, source, survey="UKIDSS"):
print("Doing H photometry...")
sex.run(os.path.join(source + "_data", source + "_" + survey + "_H.fits"))
#print(os.path.join(source+"_data",source+"_"+survey+"_trim_H.fits"))
#Hcatalog = sex.catalog("py-sextractor.cat")
Hcatalog = sex.catalog()
print("Doing K photometry...")
sex.run(os.path.join(source + "_data", source + "_" + survey + "_K.fits"))
Kcatalog = sex.catalog()
try:
k_correct = determine_zp.calibrate(source, "K_1", survey="2MASS")
except ValueError:
print("Failed to calibrate, assuming no correction")
k_correct = 0
if ((k_correct > 0.5) or (k_correct < -0.5)):
print("*** Large ZP correction for K (" + str(k_correct) + ") ***")
print("Completeness for " + source + " likely wrong")
print("Doing J photometry...")
sex.run(os.path.join(source + "_data", source + "_" + survey + "_J.fits"))
Jcatalog = sex.catalog()
try:
j_correct = determine_zp.calibrate(source, "J", survey="2MASS")
except IndexError:
print("Failed to calibrate, assuming no correction")
j_correct = 0
Kcatalog = Table(Kcatalog)
Jcatalog = Table(Jcatalog)
Kcatalog = Kcatalog[(Kcatalog['FLAGS'] < flag_limit)]
Jcatalog = Jcatalog[(Jcatalog['FLAGS'] < flag_limit)]
#print(Kcatalog)
idxs1, idxs2, ds = pyspherematch.spherematch(
np.array(Kcatalog['ALPHA_J2000']),
np.array(Kcatalog['DELTA_J2000']),
np.array(Jcatalog['ALPHA_J2000']),
np.array(Jcatalog['DELTA_J2000']),
tol=1. / 3600.)
Kcatalog['MAG_APER'] -= k_correct
Jcatalog['MAG_APER'] -= j_correct
ra = Kcatalog[idxs1]['ALPHA_J2000']
dec = Kcatalog[idxs1]['DELTA_J2000']
gc = coordinates.ICRS(ra, dec, unit=(u.degree, u.degree))
galcoords = gc.galactic
L = galcoords.l.degree
B = galcoords.b.degree
Jmag = Jcatalog[idxs2]['MAG_APER']
Kmag = Kcatalog[idxs1]['MAG_APER']
JminK = Jmag - Kmag
#print(JminK)
t = Table([ra, dec, L, B, Jmag, Kmag, JminK],
names=('RA', 'Dec', 'L', 'B', 'JMag', 'KMag', 'JminK'))
try:
os.remove(
os.path.join(source + "_data",
source + "_MyCatalog_" + survey + ".vot"))
except:
pass
t.write(os.path.join(source + "_data",
source + "_MyCatalog_" + survey + ".vot"),
format='votable')
catlist = [Kcatalog, Hcatalog, Jcatalog]
filterlist = ["K", "H", "J"]
for cat, filtername in zip(catlist, filterlist):
ra = []
dec = []
mag = []
magerr = []
flags = []
L = []
B = []
for star in cat:
ra.append(star['ALPHA_J2000'])
dec.append(star['DELTA_J2000'])
mag.append(star['MAG_APER'])
magerr.append(star['MAGERR_APER'])
flags.append(star['FLAGS'])
t = Table([ra, dec, mag, magerr, flags],
names=('RA', 'Dec', 'Mag' + filtername,
'MagErr' + filtername, 'Flags' + filtername))
try:
os.remove(
os.path.join(
source + "_data", source + "_MyCatalog_" + survey + "_" +
filtername + ".vot"))
except:
pass
t.write(os.path.join(
source + "_data",
source + "_MyCatalog_" + survey + "_" + filtername + ".vot"),
format='votable')
sex.clean(config=True, catalog=True, check=True)
f = open(
os.path.join(source + "_data/", source + "_zpcorr_" + survey + ".pkl"),
'w')
pickle.dump(k_correct, f)
f.close()
return (k_correct)
