def photautocal(self,reference,reflimit=30,selflimit=30):
"""Find the rough WCS for this image, based on reference star_phootmetry,
by cross-identifying stars by ID in DS9"""
iraf.display(self.image,1)
temp = iraf.pdump(self.photfile,"xcen,ycen,id","MAG<%f"%selflimit,Stdout=1)
iraf.tvmark(1,"STDIN",Stdin=temp)
iraf.display(reference.image,2)
temp = iraf.pdump(reference.photfile,"xcen,ycen,id","MAG<%f"%reflimit,Stdout=1)
iraf.tvmark(2,"STDIN",Stdin=temp)
fred = open('tempautocal','w')
input1=None
input2=None
print "Cross identify at least five stars, <q> to continue"
while (input1!='q')and(input2!='q'):
print
input1 = raw_input("Star ID on Frame 1: ")
input2 = raw_input("Matches star ID on Frame 2: ")
try:
star1 = self[int(input1)]
star2 = reference[int(input2)]
except:
print "Known star integers required"
continue
fred.write("%f %f %f %f\n"%(star1[1],star1[2],star2[7],star2[8]))
fred.close()
iraf.ccmap(input='tempautocal',images=self.image,lngunits='degrees',
database='database',fit='rxyscale',update='yes',inter='yes')
print "Recalculating data"
self.calcradec()
print "If happy, now run ast_by_photometry"
def markStars(self, data, buffer): ''' Can be used to show an overlapping image on DS9 buffer. The data is taken from the a table; containing x and y coordinates. Uses a fixed size for the points. ''' I.tvmark(buffer, data, mark='point', nx=0, ny=0, points=0.5, color=204)
def draw_windows( window, dispFrame=1, label=True ):
'''
'''
import pyraf
from pyraf import iraf
drawst = time.time()
tmpFilename = 'tmpfile.tmp'
index = 0
for win in window:
index += 1
# The following is annoying IRAF file nonsense.
tmpFile = open( tmpFilename, 'w' )
toWrite = '%s %s W%s\n' %(str(win[0]+(win[2]/2)),str(win[1]+(win[3]/2)), str(index))
tmpFile.write( toWrite )
tmpFile.close()
iraf.tvmark( frame=dispFrame,coords=tmpFilename, mark='rectangle',
pointsize=8, color=204, label=label, lengths=str(win[2])+' '+str(float(win[3])/float(win[2])) )
drawet = time.time()
return drawet - drawst
def markStars(self, data, buffer):
'''
Can be used to show an overlapping image on DS9 buffer. The data is taken
from the a table; containing x and y coordinates. Uses a fixed size for the
points.
'''
I.tvmark(buffer, data, mark='point', nx=0, ny=0, points=0.5, color=204)
def runsextractor(image, auto):
s = "sex " + str(image)
for i in range(1000):
os.system(s)
os.system('getxycat.pl')
iraf.display(image, 1, fill='yes')
iraf.display(image, 2, fill='yes')
iraf.display('check.fits', 3, fill='yes')
#iraf.display('background.fits',4)
iraf.tvmark(2, 'testxy.cat', color=204, radii=2)
#iraf.tvmark(4,'testxy.cat',color=204,radii=2)
if auto > 0.:
break
try:
flag = raw_input(
"how does it look? 1=keep, 0=adjust default.sex \n")
flag = float(flag)
except ValueError:
print "Sorry, didn't get that. Let's try one more time."
flag = raw_input(
"how does it look? 1=keep, 0=adjust default.sex \n")
flag = float(flag)
if flag > .1:
break
flag = raw_input("Edit default.sex. Hit any key when ready \n")
def drawText(self, xcoord, ycoord, text='', font='times 4', color='red'):
'''
'''
line_space = 50
if self.pyds9_sup:
current_line = 0
for line in text.split('\n'):
self.draw( 'text', xcoord+20, ycoord-(line_space*current_line),
color=color, text=line, font=font, delete=1)
current_line += 1
else:
font_size = font.split( ' ' )[1]
import os
tmpfile = 'tmpfile.tmp'
tmpfd = open( tmpfile, 'w' )
current_line = 0
for line in text.split('\n'):
tmpfd.write( '%s %s %s\n' %(str(xcoord), str(ycoord-(line_space*current_line)), line) )
current_line += 1
tmpfd.close()
from pyraf import iraf
iraf.tvmark( self.current_frame, tmpfile, pointsize=1, label=True, txsize=font_size,
color=iraf_colors[color])
os.remove( tmpfile )
def displayresults(self):
iraf.display(self.sex_image, 1, fill='yes', contrast=0.01)
iraf.display(self.sex_image, 2, fill='yes', contrast=0.01)
iraf.display('check.fits', 3, fill='yes', contrast=0.01)
iraf.display('background.fits', 4, contrast=0.01)
iraf.tvmark(2,
self.prefix + '_sex_xy.txt',
color=204,
radii=2,
mark='circle')
def display(self,extn=None):
"""Display SCI extensions from the Astrodata object
and mark objects and reference stars found in the
input file tables OBJCAT and REFCAT.
DS9 must be running.
"""
try:
from stsci.numdisplay import display as ndisplay
except ImportError:
from numdisplay import display as ndisplay
#file = self.file
#ad = AstroData(file)
ad = self.adout
nscext = ad.count_exts('SCI')
if extn != None:
si,ei = extn,extn+1
else:
si,ei = 1,nscext+1
fr = 1
for xt in range(si,ei):
#ff = '%s[%d]' % (file,xt)
ff = ad['SCI',xt].data
iraf.set (stdimage='imt47')
ndisplay(ff, frame=fr)
xtnad = ad['OBJCAT',xt]
if xtnad:
x = xtnad.data.field('x')
y = xtnad.data.field('y')
print 'Marking %d objects with red.' % len(x)
np.savetxt('/tmp/xy.txt', zip(x,y), fmt='%.2f', delimiter=' ')
tvmark(frame=fr,coords='/tmp/xy.txt',color=204)
else:
print "No stars found in extension %d."%xt
xtnad = ad['REFCAT',xt]
if xtnad:
x = xtnad.data.field('x')
y = xtnad.data.field('y')
print 'Marking %d refstars with green.' % len(x)
np.savetxt('/tmp/xy.txt', zip(x,y), fmt='%.2f', delimiter=' ')
tvmark(frame=fr,coords='/tmp/xy.txt',color=205)
else:
print "No reference stars found in extension %d."%xt
fr += 1
def markPixel(self, xcoord, ycoord, badPixel=True, color='red'):
if self.pyds9_sup:
self.draw( 'box', xcoord, ycoord, [1,1], crossout=badPixel, color=color, fixed=True, edit=0,
select=0, move=0 )
else:
# write a stupid file
tmpfile = 'tmpfile.tmp'
tmpfd = open( tmpfile, 'w' )
tmpfd.write( '%s %s\n' %(str(xcoord), str(ycoord)) )
tmpfd.close()
from pyraf import iraf
iraf.tvmark( self.current_frame, coordfile, mark='point', pointsize=1, color=iraf_colors[color])
os.remove( tmpfile )
def marksn2(img,fitstab,frame=1,fitstab2='',verbose=False):
from pyraf import iraf
from numpy import array #,log10
import lsc
iraf.noao(_doprint=0)
iraf.digiphot(_doprint=0)
iraf.daophot(_doprint=0)
iraf.images(_doprint=0)
iraf.imcoords(_doprint=0)
iraf.proto(_doprint=0)
iraf.set(stdimage='imt1024')
hdr=lsc.util.readhdr(fitstab)
_filter=lsc.util.readkey3(hdr,'filter')
column=lsc.lscabsphotdef.makecatalogue([fitstab])[_filter][fitstab]
rasex=array(column['ra0'],float)
decsex=array(column['dec0'],float)
if fitstab2:
hdr=lsc.util.readhdr(fitstab2)
_filter=lsc.util.readkey3(hdr,'filter')
_exptime=lsc.util.readkey3(hdr,'exptime')
column=lsc.lscabsphotdef.makecatalogue([fitstab2])[_filter][fitstab2]
rasex2=array(column['ra0'],float)
decsex2=array(column['dec0'],float)
iraf.set(stdimage='imt1024')
iraf.display(img + '[0]',frame,fill=True,Stdout=1)
vector=[]
for i in range(0,len(rasex)):
vector.append(str(rasex[i])+' '+str(decsex[i]))
xy = iraf.wcsctran('STDIN',output="STDOUT",Stdin=vector,Stdout=1,image=img+'[0]',inwcs='world',units='degrees degrees',outwcs='logical',\
formats='%10.1f %10.1f',verbose='yes')[3:]
iraf.tvmark(frame,'STDIN',Stdin=list(xy),mark="circle",number='yes',label='no',radii=10,nxoffse=5,nyoffse=5,color=207,txsize=2)
if verbose:
# print 2.5*log10(_exptime)
for i in range(0,len(column['ra0'])):
print xy[i],column['ra0'][i],column['dec0'][i],column['magp3'][i],column['magp4'][i],column['smagf'][i],column['magp2'][i]
if fitstab2:
vector2=[]
for i in range(0,len(rasex2)):
vector2.append(str(rasex2[i])+' '+str(decsex2[i]))
xy1 = iraf.wcsctran('STDIN',output="STDOUT",Stdin=vector2,Stdout=1,image=img+'[0]',inwcs='world',units='degrees degrees',outwcs='logical',\
formats='%10.1f %10.1f',verbose='yes')[3:]
iraf.tvmark(frame,'STDIN',Stdin=list(xy1),mark="cross",number='yes',label='no',radii=10,nxoffse=5,nyoffse=5,color=205,txsize=2)
def aperphot(
imgs,
posname,
aper1,
aper2,
aper3,
):
postfix = '.obs'
for i in xrange(len(imgs)):
basename, exten = os.path.splitext(imgs[i])
photname = basename + postfix
meanpsf = 2.0
std = 70.0
iraf.display(imgs[i], frame=1)
iraf.tvmark(frame=1,
coords=posname,
autolog='No',
mark='circle',
radii=30,
lengths=3,
font='raster',
color=204,
label='No',
number='Yes',
txsize=3)
iraf.datapars.ccdread = 'CCDRON'
iraf.datapars.gain = 'CCDGAIN'
iraf.datapars.scale = 1.0
iraf.datapars.fwhmpsf = meanpsf
iraf.datapars.sigma = std
iraf.datapars.filter = 'INSFLNAM'
iraf.datapars.datamax = 1000000.0
iraf.centerpars.cbox = 8.0
iraf.centerpars.calgorithm = 'centroid'
iraf.fitskypars.salgorithm = 'median'
iraf.fitskypars.annulus = aper2 # ------ important ------
iraf.fitskypars.dannulus = aper3 # ------ important ------
#iraf.photpars.apertures = meanpsf # ------ important ------
iraf.photpars.apertures = aper1 # ------ important ------
iraf.phot(image=imgs[i],
coords=posname,
output=photname,
interactive=False,
verify=False)
def autoast(self,infile='asu.fit',RAfield='RAJ2000',decfield='DEJ2000',magfield='Vmag',magoff=None,
markmax=30,crosses=False):
"""Calibrate image from file of data (2mass etc) by making initial astrometry
by selecting a handful of stars, them using the other cal routines
RAfield: column with RA (decimal!).
decfield: column with dec (decimal!).
magfield: column to calibrate magnitude by"""
global xpoint,ypoint
if self.image is None:
print "No image to calibrate data by"
return
RA,dec,mag = load_data(infile,RAfield,decfield,magfield)
fig = pylab.figure(figsize=(8,8))
pylab.clf()
try:
magoff = magoff or mag.max()
pylab.scatter(RA[mag>0],dec[mag>0],s=10**(0.4*(magoff-mag[mag>0])),hold=0,alpha=0.5)
except:
crosses=True
if crosses: pylab.plot(RA,dec,'k+')
pylab.axis([RA.max(),RA.min(),dec.min(),dec.max()])
pylab.draw()
cid = fig.canvas.mpl_connect('button_press_event',self._on_press)
iraf.display(self.image,1)
iraf.tvmark(1,"STDIN",Stdin=iraf.pdump(self.photfile,"xcen,ycen,id","MAG<%f"%markmax,Stdout=1))
print "Pick five stars with middle button, then enter their IDs in order,\n<q> to continue"
ids = []; self.xpoint=[]; self.ypoint=[]
select = None
while not(select=='q'):
select=raw_input('Star ID: ')
try: ids.append(int(select))
except: pass
fig.canvas.mpl_disconnect('button_press_event')
fred = open('autocalcoords','w')
for i in range(min(len(ids),len(self.xpoint))):
try:
x,y = self[ids[i]][[1,2]]
locmin = ((self.xpoint[i]-RA)**2+(self.ypoint[i]-dec)**2).argmin()
fred.write('%f %f %15.12e %15.12e\n'%(x,y,RA[locmin],dec[locmin]))
except:
print "Coord pair %i failed"%i
fred.close()
iraf.ccmap(input='autocalcoords',images=self.image,lngunits='degrees',
database='database',fit='rxyscale',update='yes',inter='yes')
print "Recalculating..."
self.calcradec()
print "If happy, now run ast_by_file"
def runsextractor(image):
s="sex "+str(image)
for i in range(1000):
os.system(s)
os.system('getxycat.pl')
iraf.display(image,2)
iraf.tvmark(2,'testxy.cat',color=207,radii=7)
try:
flag= raw_input("how does it look? 1=keep, 0=adjust default.sex \n")
flag=float(flag)
except ValueError:
print "Sorry, didn't get that. Let's try one more time."
flag= raw_input("how does it look? 1=keep, 0=adjust default.sex \n")
flag=float(flag)
if flag > .1:
break
flag= raw_input("Edit default.sex. Hit any key when ready \n")
def findsolution(image,alsfile,datafile,source="GSC"):
stars = CMD.star_photometry(alsfile,image,False)
datfile = pyfits.open(datafile)
mydata=datfile[-1].data
datfile.close()
iraf.display(image,1)
temp=iraf.pdump(alsfile,'xcen,ycen,id','yes',Stdout=1)
iraf.tvmark(1,"STDIN",Stdin=temp)
rafield,decfield = fields[source]
ra = mydata.field(rafield)
dec= mydata.field(decfield)
raint = int(min(ra))
decint= int(min(dec))
print "ra offset by %i, dec by %i\n"%(raint,decint)
clf()
plot(ra-raint,dec-decint,'k+')
print "Require 4 stars matched to make simple solution"
print "Enter co-ordinates as acurately as you can:-"
fred = open('ccmapfile','w')
for i in range(4):
idin=input("Star %i ID: "%i)
mystar=stars[idin]
rain=input("Star %i RA: " %i) + raint
decin=input("Star %i DEC: "%i) + decint
radiff = ra-rain
decdiff = dec-decin
radecdiff = radiff**2+decdiff**2
locmin = radecdiff.argmin()
raout = ra[locmin]
decout = dec[locmin]
fred.write("%7.2f %7.2f %10.6f %10.6f\n"%(mystar[1],mystar[2],raout,decout))
fred.close()
iraf.ccmap('ccmapfile','database',images=image,xcolumn=1,ycolumn=2,lngcolumn=3,
latcolumn=4,lngunits='degrees',latunits='degrees',insystem='j2000',
fitgeometry='rxyscale')
findbettersolution(image,alsfile,datafile,source=source)
def kait_disp():
inlis=iraffiles('*_001.sub.fit')
for image in inlis:
root=image[:len(image)-12]
iraf.display("%s_001.fit" % root, 1)
if os.path.exists('%s.z.can' % root):
iraf.tvmark(1,'%s.z.can' % root, radii=10)
if os.path.exists('%s.mp.cor' % root):
iraf.tvmark(1,'%s.mp.cor' % root, radii=10)
iraf.display('%s.fit' % root,2)
iraf.display('%s_001.sub.fit' % root, 3)
if os.path.exists('%s.z.cans' % root):
iraf.tvmark(3, '%s.z.cans' % root, radii=10)
iraf.imexam()
def kait_disp():
inlis = iraffiles('*_001.sub.fit')
for image in inlis:
root = image[:len(image) - 12]
iraf.display("%s_001.fit" % root, 1)
if os.path.exists('%s.z.can' % root):
iraf.tvmark(1, '%s.z.can' % root, radii=10)
if os.path.exists('%s.mp.cor' % root):
iraf.tvmark(1, '%s.mp.cor' % root, radii=10)
iraf.display('%s.fit' % root, 2)
iraf.display('%s_001.sub.fit' % root, 3)
if os.path.exists('%s.z.cans' % root):
iraf.tvmark(3, '%s.z.cans' % root, radii=10)
iraf.imexam()
def draw(self, shape, xcoord, ycoord, properties=None, color='red', text='', crossout=False, fixed=False,
**kargs):
'''
A general marking method that will mark a given shape in ds9.
@param shape: The shape to be drawn. Which shapes are capable of being drawn
@param xcoord: Pixel on the x-axis.
@type xcoord: float or int
@param ycoord: Pixel on the y-axis.
@type ycoord: float or int
'''
xcoord = str( xcoord )
ycoord = str( ycoord )
# Eventually, it would be nice to check that lengths matches shapes.
if type(properties) == list:
prop_size = len( properties )
for i in range(prop_size):
properties[i] = str( properties[i] )
if self.pyds9_sup:
properties = ' '.join( properties )
else:
properties = ','.join( properties )
else:
properties = str( properties )
if self.pyds9_sup:
if crossout:
crossout = '-'
else:
crossout = ''
if fixed:
fixed = '0'
else:
fixed = '1'
additional_args = ''
for arg in kargs.keys():
tempval = kargs[arg]
if type( tempval ) == str:
additional_args += '%s="%s" ' %(str(arg), tempval)
else:
tempval = str( kargs[arg] )
additional_args += '%s=%s ' %(str(arg), tempval)
command = '%(crossout)s%(shape)s %(xcoord)s %(ycoord)s %(props)s # color="%(colour)s" text="%(text)s" fixed=%(fix)s %(params)s' %{'crossout':crossout,
'shape':shape, 'xcoord':xcoord,
'ycoord':ycoord, 'props':properties, 'colour':color,
'text':text, 'fix':fixed, 'params':additional_args
}
self.setRegion( command )
else:
# The IRAF tvmark way
# write a stupid file
tmpfile = 'tmpfile.tmp'
tmpfd = open( tmpfile, 'w' )
tmpfd.write( '%s %s\n' %(xcoord, ycoord) )
tmpfd.close()
from pyraf import iraf
iraf.tvmark( self.current_frame, coordfile, mark=shape, label=True, pointsize=properties,
radii=properties, lengths=properties, txsize=properties,
color=iraf_colors[color])
os.remove( tmpfile )
def fitsn(img,imgpsf,coordlist,_recenter,fwhm0,original,sn,residual,_show,_interactive,dmax,dmin,z11='',z22='',midpt='',size=7,apco0=0):
import lsc
lsc.util.delete("apori")
lsc.util.delete(img+".sn.mag")
#################################
from pyraf import iraf
import string
iraf.imcoords(_doprint=0)
iraf.digiphot(_doprint=0)
iraf.daophot(_doprint=0)
from iraf import digiphot
from iraf import daophot
from iraf import ptools
a1 = int(fwhm0)
a2 = int(2.*fwhm0+.5)
a3 = int(3.*fwhm0+.5)
a4 = int(4.*fwhm0+.5)
ap = str(a1)+","+str(a2)+","+str(a3)
########################################
if _recenter: answ='yes'
else: answ='no'
#########################################
hdr=lsc.util.readhdr(img+'.fits')
_gain=lsc.util.readkey3(hdr,'gain')
_ron=lsc.util.readkey3(hdr,'ron')
_exptime=lsc.util.readkey3(hdr,'exptime')
iraf.noao.digiphot.daophot.photpars.zmag = 0
iraf.noao.digiphot.daophot.datapars.readnoi = _gain
iraf.noao.digiphot.daophot.datapars.epadu = _ron
iraf.noao.digiphot.daophot.datapars.datamin = dmin
iraf.noao.digiphot.daophot.datapars.datamax = dmax
iraf.noao.daophot.fitskypars.annulus=a3
iraf.noao.daophot.photpars.apertures = ap
iraf.noao.digiphot.daophot.datapars.exposure = 'exptime'
iraf.noao.digiphot.daophot.datapars.airmass = 'airmass'
iraf.noao.digiphot.daophot.datapars.filter = 'filter2'
iraf.noao.digiphot.daophot.daopars.psfrad = a4
# modify fitrad to 3 fwhm to see if works better
iraf.noao.digiphot.daophot.daopars.fitrad = fwhm0 #* 3
iraf.noao.digiphot.daophot.daopars.sannulus = int(a4)
iraf.noao.digiphot.daophot.daopars.recenter = answ
iraf.noao.digiphot.daophot.daopars.fitsky = 'yes'
# iraf.noao.digiphot.daophot.centerpars.cbox = 0
iraf.noao.digiphot.daophot.centerpars.cbox = 4
iraf.noao.digiphot.daophot.centerpars.calgori = 'gauss'
# fitskypars.salgorithm = "constant"
# fitskypars.skyvalue = 0
print '\n### recentering: '+str(answ)
if _show:
iraf.noao.digiphot.daophot.phot(original,coordlist,"apori",veri='no')
iraf.noao.digiphot.daophot.phot(sn,coordlist,img+".sn.mag",veri='no')
else:
iraf.noao.digiphot.daophot.phot(original,coordlist,"apori",veri='no',verb='no')
iraf.noao.digiphot.daophot.phot(sn,coordlist,img+".sn.mag",veri='no',verb='no')
lsc.util.delete(img+".sn.als")
print sn,imgpsf,img
iraf.allstar(sn,img+".sn.mag",imgpsf,img+".sn.als","",residual,veri='no',verb='no')
lsc.util.delete("snfit.fits")
iraf.imarith(sn+'.fits',"-",residual+'.fits',"snfit.fits")
lsc.util.delete("skyfit.fits")
iraf.imarith(original+'.fits',"-","snfit.fits","skyfit.fits")
iraf.txsort(img+".sn.als","ID")
tmptbl = iraf.txdump(img+".sn.als","mag,merr,xcenter,ycenter",expr='yes', Stdout=1)
magerr,fitmag,centx,centy=[],[],[],[]
for i in tmptbl:
try:
fitmag.append(float(string.split(i)[0]))#-2.5*log10(_exptime))
except:
fitmag.append(string.split(i)[0])
try:
magerr.append(float(string.split(i)[1]))
except:
magerr.append(string.split(i)[1])
centx.append(float(string.split(i)[2]))
centy.append(float(string.split(i)[3]))
tmptbl=iraf.txdump("apori","mag",expr='yes', Stdout=1)
apori1,apori2,apori3=[],[],[]
for i in tmptbl:
try:
apori1.append(float(string.split(i)[0]))#-2.5*log10(_exptime))
except:
apori1.append(string.split(i)[0])
try:
apori2.append(float(string.split(i)[1]))#-2.5*log10(_exptime))
except:
apori2.append(string.split(i)[1])
try:
apori3.append(float(string.split(i)[2]))#-2.5*log10(_exptime))
except:
apori3.append(string.split(i)[2])
iraf.txsort(img+".sn.mag","YCENTER")
tmptbl=iraf.txdump(img+".sn.mag","mag,magerr",expr='yes', Stdout=1)
if _show:
print "********************************************************************"
print "ID <apmag on original> <apmag on bgsubt> fitmag truemag err_fit"
print " ",a1," ",a2," ",a3," ",a1," ",a2," ",a3
apmag1,apmag2,apmag3,truemag=[],[],[],[]
for i in range(len(tmptbl)):
try:
apmag1.append(float(string.split(tmptbl[i])[0]))#-2.5*log10(_exptime))
except:
apmag1.append(9999)
try:
apmag2.append(float(string.split(tmptbl[i])[1]))#-2.5*log10(_exptime))
except:
apmag2.append(9999)
try:
apmag3.append(float(string.split(tmptbl[i])[2]))#-2.5*log10(_exptime))
except:
apmag3.append(9999)
try:
truemag.append(fitmag[i]+float(apco0))
except:
truemag.append('INDEF')
if _show:
print i,apori1[i],apori2[i],apori3[i],apmag1[i],apmag2[i],apmag3[i],fitmag[i],truemag[i],magerr[i]
if _show:
print "********************************************************************"
if _show:
print midpt,z11,z22
_tmp1,_tmp2,goon=lsc.util.display_image(original+'.fits',1, z11, z22, False, _xcen=.25, _ycen=.25, _xsize=.3, _ysize=.3)
z01 = float(z11)-float(midpt)
z02 = float(z22)-float(midpt)
s1 = 1
s2 = -int(fwhm0)
lsc.util.delete("tmptbl")
ff=open('tmptbl','w')
ff.write(str(s1)+' '+str(s2)+" ORIGINAL")
ff.close()
iraf.tvmark(1,"tmptbl",autol='no',mark="none",inter='no',label='yes',txsize=2)
_tmp1,_tmp2,goon=lsc.util.display_image('snfit.fits',1, z01, z02, False, _xcen=.25, _ycen=.75, _xsize=.3, _ysize=.3, _erase='no')
lsc.util.delete("tmptbl")
tmptbl0=iraf.txdump(img+".sn.als","xcen,ycen",expr='yes',Stdout=1)
ff=open('tmptbl','w')
for i in tmptbl0:
ff.write(i+'\n')
ff.close()
lra = int((2*float(size)*float(fwhm0))*2)
iraf.tvmark(1,"tmptbl",autol='no',mark="circle", number='yes',nyoffset=lra,radi=a2,txsize=2,inter='no')
s1 = 1
s2 = -1*int(fwhm0)
lsc.util.delete("tmptbl")
ff=open('tmptbl','w')
ff.write(str(s1)+' '+str(s2)+" FITTED")
ff.close()
iraf.tvmark(1,"tmptbl",autol='no',mark="none",inter='no',label='yes',txsize=2)
_tmp1,_tmp2,goon=lsc.util.display_image('skyfit.fits',1, z11, z22, False, _xcen=.75, _ycen=.25, _xsize=.3, _ysize=.3, _erase='no')
s1 = 1
s2 = -1*int(fwhm0)
lsc.util.delete("tmptbl")
ff=open('tmptbl','w')
ff.write(str(s1)+' '+str(s2)+" RESIDUAL")
ff.close()
iraf.tvmark(1,"tmptbl",autol='no',mark="none",inter='no',label='yes',txsize=2)
return apori1,apori2,apori3,apmag1,apmag2,apmag3,fitmag,truemag,magerr,centx,centy
def makeillumination(lista,flatfield):#,outputfile,illum_frame):
import os,glob,string,re
from astropy.io import fits as pyfits
import ntt
from ntt.util import readhdr, readkey3, delete, display_image, defsex, name_duplicate, correctcard
from numpy import compress, array, argmax, argmin, min, argsort, float32
import datetime
MJDtoday = 55927 + (datetime.date.today() - datetime.date(2012, 01, 01)).days
_date = readkey3(readhdr(lista[0]), 'date-night')
_filter = readkey3(readhdr(lista[0]), 'filter')
illum_frame = name_duplicate(
lista[0], 'illum_' + _date + '_' + _filter + '_' + str(MJDtoday), '')
from pyraf import iraf
iraf.images(_doprint=0)
iraf.imutil(_doprint=0)
iraf.utilities(_doprint=0)
iraf.noao(_doprint=0)
iraf.imred(_doprint=0)
iraf.ccdred(_doprint=0)
iraf.digiphot(_doprint=0)
iraf.daophot(_doprint=0)
iraf.generic(_doprint=0)
toforget = ['digiphot.daophot', 'imutil.imarith',
'image', 'utilities.surfit']
for t in toforget:
iraf.unlearn(t)
n = len(lista)
# start loop to read image names from the input file
lista1 = []
iraf.ccdred.verbose = 'no'
ff = open('templist.lst', 'w')
for i in range(0, len(lista)):
ff.write('C' + lista[i] + '\n')
delete('C' + lista[i])
delete('C' + re.sub('.fits', '_sub.fits', lista[i]))
ntt.sofiphotredudef.crosstalk(lista[i], 'C' + lista[i])
iraf.noao.imred.ccdred.ccdproc('C' + lista[i], output='', overscan="no", trim="yes", ccdtype='', darkcor='no', fixpix='no', zerocor="no", flatcor='yes',
illumco='no', trimsec='[1:1024,1:1007]', biassec='', flat=flatfield, illum='')
correctcard('C' + lista[i])
lista1.append('C' + lista[i])
ff.close()
print '\n### prereducing STD frames to compute illumination correction ........'
lista2, skyfile = ntt.sofiphotredudef.skysub(lista1, readkey3(
readhdr(lista1[0]), 'ron'), readkey3(readhdr(lista1[0]), 'gain'), True)
lista2 = ntt.sofiphotredudef.sortbyJD(lista2)
print '\n### use x on the star and q to continue....'
display_image(lista2[0], 2, '', '', False)
delete('tmpone.coo')
iraf.image.tv.imexamine(lista2[0], 2, logfile='tmpone.coo',
keeplog='yes', xformat='', yformat='', wcs='logical')
iraf.tvmark(2, 'tmpone.coo', mark="circle", number='yes',
label='no', radii=8, nxoffse=5, nyoffse=5, color=204, txsize=2)
xycoo = iraf.proto.fields('tmpone.coo', '1,2', Stdout=1)
x0, y0 = string.split(xycoo[0])
x0 = float(x0)
y0 = float(y0)
xcum0 = readkey3(readhdr(lista2[0]), 'xcum')
ycum0 = readkey3(readhdr(lista2[0]), 'ycum')
iraf.digiphot(_doprint=0)
iraf.daophot(_doprint=0)
iraf.noao.digiphot.daophot.datapars.datamin = -1000
iraf.noao.digiphot.daophot.datapars.datamax = 60000
iraf.noao.digiphot.daophot.daopars.function = 'gauss'
iraf.noao.digiphot.daophot.photpars.zmag = 0
namesex = defsex('default.sex')
for i in range(0, len(lista2)):
j = i + 1
xcum = readkey3(readhdr(lista2[i]), 'xcum')
ycum = readkey3(readhdr(lista2[i]), 'ycum')
xx = x0 - xcum0 + xcum
yy = y0 - ycum0 + ycum
# sex objects
os.system('sex ' + lista2[i] + ' -c ' + namesex + '> _logsex')
delete('_logsex')
xpix = iraf.proto.fields('detections.cat', fields='2', Stdout=1)
ypix = iraf.proto.fields('detections.cat', fields='3', Stdout=1)
cm = iraf.proto.fields('detections.cat', fields='4', Stdout=1)
cm = compress((array(xpix) != ''), array(cm, float))
ypix = compress((array(xpix) != ''), array(ypix, float))
xpix = compress((array(xpix) != ''), array(xpix, float))
if len(xpix) > 300:
num = 300
else:
num = len(xpix) - 1
xpix = xpix[argsort(cm)][0:num]
ypix = ypix[argsort(cm)][0:num]
distance = (ypix - yy)**2 + (xpix - xx)**2
xx1, yy1 = xpix[argmin(distance)], ypix[argmin(distance)]
f = open('tmpone.coo', 'w')
f.write(str(xx1) + ' ' + str(yy1) + '\n')
f.close()
display_image(lista2[i], 1, '', '', False)
iraf.tvmark(1, 'tmpone.coo', mark="circle", number='yes',
label='no', radii=8, nxoffse=5, nyoffse=5, color=204, txsize=2)
answ = 'n'
while answ != 'y':
answ = raw_input('selected the right one [[y]/n] ?')
if not answ:
answ = 'y'
if answ in ['y', 'YES', 'yes', 'Y']:
print lista2[i]
delete('pippo.' + str(j) + '.mag')
gggg = iraf.digiphot.daophot.phot(
lista2[i], "tmpone.coo", output="pippo." + str(j) + ".mag", verify='no', interac='no', Stdout=1)
try:
float(string.split(gggg[0])[3])
answ = 'y'
except:
print '\n### warning'
answ = 'n'
else:
print '\n### select the std star'
display_image(lista2[i], 1, '', '', False)
iraf.image.tv.imexamine(lista2[
i], 1, logfile='tmpone.coo', keeplog='yes', xformat='', yformat='', wcs='logical')
xycoo = iraf.proto.fields('tmpone.coo', '1,2', Stdout=1)
x2, y2 = string.split(xycoo[0])
f = open('tmpone.coo', 'w')
f.write(str(x2) + ' ' + str(y2) + '\n')
f.close()
delete('pippo.' + str(j) + '.mag')
print '###### new selection ' + str(x2), str(y2)
gggg = iraf.digiphot.daophot.phot(
lista2[i], "tmpone.coo", output='pippo.' + str(j) + '.mag', verify='no', interac='no', Stdout=1)
try:
float(string.split(gggg[0])[3])
answ = 'y'
except:
print '\n### warning'
answ = 'n'
os.system('ls pippo.*.mag > tempmag.lst')
tmptbl0 = iraf.txdump(textfile="@tempmag.lst",
fields="XCENTER,YCENTER,FLUX", expr='yes', Stdout=1)
ff = open('magnitudini', 'w')
for i in tmptbl0:
ff.write(i + '\n')
ff.close()
# delete the temporary images and files
delete("temp*.fits")
delete('temp*.lst')
delete(illum_frame)
print '\n### fitting the illumination surface...'
aaa = iraf.utilities.surfit('magnitudini', image=illum_frame, function="polynomial",
xorder=2, yorder=2, xterms="full", ncols=1024, nlines=1024, Stdout=1)
iraf.noao.imred.generic.normalize(illum_frame)
correctcard(lista[0])
data, hdr = pyfits.getdata(illum_frame, 0, header=True)
data0, hdr0 = pyfits.getdata(lista[0], 0, header=True)
delete(illum_frame)
pyfits.writeto(illum_frame, float32(data), hdr0)
flatfield0 = string.split(flatfield, '/')[-1]
ntt.util.updateheader(
illum_frame, 0, {'MKILLUM': [flatfield0, 'flat field']})
display_image(illum_frame, 1, '', '', False)
for i in range(0, len(lista)): # in lista:
img = lista[i]
delete('pippo.' + str(i) + '.mag')
delete('C' + img)
delete('C' + re.sub('.fits', '_sky.fits', img))
# delete('C*.fits.mag.1')
# iraf.hedit(illum_frame,'MKILLUM','Illum. corr. created '+flatfield,add='yes',update='yes',verify='no')
return illum_frame
def ecpsf(img, ofwhm, threshold, psfstars, distance, interactive, ds9, psffun='gauss', fixaperture=False, _catalog='', _datamax=None, show=False):
try:
import lsc, string
hdr = lsc.util.readhdr(img + '.fits')
instrument = lsc.util.readkey3(hdr, 'instrume')
print 'INSTRUMENT:', instrument
if 'PIXSCALE' in hdr:
scale = lsc.util.readkey3(hdr, 'PIXSCALE')
elif 'CCDSCALE' in hdr:
if 'CCDXBIN' in hdr:
scale = lsc.util.readkey3(hdr, 'CCDSCALE') * lsc.util.readkey3(hdr, 'CCDXBIN')
elif 'CCDSUM' in hdr:
scale = lsc.util.readkey3(hdr, 'CCDSCALE') * int(string.split(lsc.util.readkey3(hdr, 'CCDSUM'))[0])
if _datamax is None and 'kb' in instrument:
_datamax = 45000
elif _datamax is None:
_datamax = 65000
_wcserr = lsc.util.readkey3(hdr, 'wcserr')
print _wcserr
if float(_wcserr) == 0:
if 'L1FWHM' in hdr:
seeing = float(lsc.util.readkey3(hdr, 'L1FWHM'))
elif 'L1SEEING' in hdr:
seeing = float(lsc.util.readkey3(hdr, 'L1SEEING')) * scale
else:
seeing = 3
else:
seeing = 3
if 'PSF_FWHM' in hdr:
seeing = float(lsc.util.readkey3(hdr, 'PSF_FWHM'))
else:
sys.exit('astrometry not good')
#except: sys.exit('astrometry not good')
fwhm = seeing / scale
print 'FWHM[header] ', fwhm, ' in pixel'
if ofwhm: fwhm = float(ofwhm)
print ' FWHM[input] ', fwhm, ' in pixel'
xdim, ydim = iraf.hselect(img+'[0]', 'i_naxis1,i_naxis2', 'yes', Stdout=1)[0].split()
print img, fwhm, threshold, scale,xdim
#################################################################################
################### write file to compute psf _psf.coo ############
#################################################################################
if interactive:
iraf.display(img, 1, fill=True)
iraf.delete('tmp.lo?', verify=False)
print '_' * 80
print '>>> Mark reference stars with "a". Then "q"'
print '-' * 80
iraf.imexamine(img, 1, wcs='logical', logfile='tmp.log', keeplog=True)
xyrefer = iraf.fields('tmp.log', '1,2,6,15', Stdout=1)
xns, yns, _fws = [], [], []
############# write file for PSF #########################
ff = open('_psf.coo', 'w')
for i in range(len(xyrefer)):
xns.append(float(xyrefer[i].split()[0]))
yns.append(float(xyrefer[i].split()[1]))
_fws.append(float(xyrefer[i].split()[3]))
ff.write('%10.3f %10.3f %7.2f \n' % (xns[i], yns[i], float(_fws[i])))
ff.close()
fwhm = np.median(_fws)
elif _catalog:
print '\n#### use catalog to measure the psf'
ddd=iraf.wcsctran(input=_catalog,output='STDOUT',Stdout=1,image=img + '[0]',inwcs='world',outwcs='logical',
units='degrees degrees',columns='1 2',formats='%10.1f %10.1f',verbose='no')
ddd=[i for i in ddd if i[0]!='#']
ddd=[' '.join(i.split()[0:3]) for i in ddd]
line=''
for i in ddd:
a,b,c = string.split(i)
if float(a) < float(xdim) and float(b) < float(ydim) and float(b) > 0:
line = line + '%10s %10s %10s \n' % (a, b, c)
if line:
ff = open('_psf.coo', 'w')
ff.write(line)
ff.close()
else:
sys.exit('error: no catalog objects are in the field')
else:
############ run sextractor #####################################
xs, ys, ran, decn, magbest, classstar, fluxrad, bkg = runsex(img, fwhm, threshold, scale)
tot = np.compress(abs(np.array(fluxrad) * 1.6 - fwhm) / fwhm < .5, fluxrad)
if len(tot) < 5:
print 'warning: fwhm from sexractor different from fwhm computed during pre-reduction'
print 'try using option --fwhm xxx'
ff = open('tmp.cursor', 'w')
image_hdu = fits.open(img + '.fits')
for i in range(len(xs)):
_xs = np.delete(xs, i)
_ys = np.delete(ys, i)
dist2 = np.sqrt((_xs - xs[i]) ** 2 + (_ys - ys[i]) ** 2)
########### cut star, not near other object ##########################
if abs(fluxrad[i] * 1.6 - fwhm) / fwhm < .5 and min(dist2) > distance * fwhm:
x1, x2 = int(xs[i] - fwhm * 3), int(xs[i] + fwhm * 3)
y1, y2 = int(ys[i] - fwhm * 3), int(ys[i] + fwhm * 3)
if x1 < 1: x1 = 1
if y1 < 1: y1 = 1
if x2 > int(xdim):
x2 = int(xdim)
if y2 > int(ydim):
y2 = int(ydim)
fmax = np.max(image_hdu[0].data[y1-1:y2, x1-1:x2])
########## cut saturated object ########################
if float(fmax) < _datamax: # not saturated
ff.write('%10.3f %10.3f 1 m \n' % (xs[i], ys[i]))
ff.close()
image_hdu.close()
iraf.delete('tmp.lo?,tmp.sta?,tmp.gk?', verify=False)
iraf.psfmeasure(img+'[0]', imagecur='tmp.cursor', logfile='tmp.log', radius=int(fwhm), iter=3,
display=False, StdoutG='tmp.gki')
ff = open('tmp.log')
righe = ff.readlines()
xn = [float(righe[3].split()[1])]
yn = [float(righe[3].split()[2])]
_fw = [float(righe[3].split()[4])]
for r in righe[4:-2]:
if len(r) > 0:
xn.append(float(r.split()[0]))
yn.append(float(r.split()[1]))
_fw.append(float(r.split()[3]))
print 'FWHM: ', righe[-1].split()[-1]
print 80 * "#"
######
############## eliminate double object identification ###########################
xns, yns, _fws = [xn[0]], [yn[0]], [_fw[0]]
for i in range(1, len(xn)):
if abs(xn[i] - xn[i - 1]) > .2 and abs(yn[i] - yn[i - 1]) > .2:
xns.append(xn[i])
yns.append(yn[i])
_fws.append(_fw[i])
######### write clean file for PSF #########################
fw = []
ff = open('_psf.coo', 'w')
for i in range(len(xns)):
if abs(_fws[i] - fwhm) / fwhm < .3:
ff.write('%10.3f %10.3f %7.2f \n' % (xns[i], yns[i], float(_fws[i])))
fw.append(_fws[i])
ff.close() ## End automatic selection
######################################################################################
################### write file of object to store in fits table #############
######################################################################################
if interactive:
xs, ys, ran, decn, magbest, classstar, fluxrad, bkg = runsex(img, fwhm, threshold, scale)
ff = open('_psf2.coo', 'w')
for i in range(len(xs)):
ff.write('%10s %10s %10s \n' % (xs[i], ys[i], fluxrad[i]))
ff.close()
elif _catalog:
ddd=iraf.wcsctran(input=_catalog,output='STDOUT',Stdout=1,image=img + '[0]',inwcs='world',outwcs='logical',
units='degrees degrees',columns='1 2',formats='%10.1f %10.1f',verbose='no')
ddd=[i for i in ddd if i[0]!='#']
ddd=[' '.join(i.split()[0:3]) for i in ddd]
ff = open('_psf2.coo', 'w')
for i in ddd:
a,b,c = string.split(i)
ff.write('%10s %10s %10s \n' % (a, b, c))
ff.close()
else:
os.system('cp _psf.coo _psf2.coo')
# dflux = fluxrad - np.median(fluxrad)
# fstar = np.compress(dflux < np.std(fluxrad), fluxrad)
#################################################################################################################
print 80 * "#"
photmag, pst, fitmag = psffit(img, fwhm, psfstars, hdr, interactive, _datamax, psffun, fixaperture)
photmag2, fitmag2 = psffit2(img, fwhm, psfstars, hdr, _datamax, psffun, fixaperture)
radec = iraf.wcsctran(input='STDIN', output='STDOUT', Stdin=photmag,
Stdout=1, image=img + '[0]', inwcs='logical', outwcs='world', columns="1 2",
format='%13.3H %12.2h', min_sig=9, mode='h')[3:]
radec2 = iraf.wcsctran(input='STDIN', output='STDOUT', Stdin=photmag2,
Stdout=1, image=img + '[0]', inwcs='logical', outwcs='world', columns="1 2",
format='%13.3H %12.2h', min_sig=9, mode='h')[3:]
if ds9 == 0 and (interactive or show):
iraf.set(stdimage='imt1024')
iraf.display(img, 1, fill=True, Stdout=1)
iraf.tvmark(1, coords='STDIN', mark='circle', radii=15, label=True, Stdin=photmag, nxoffset=5, nyoffset=5, txsize=2)
iraf.tvmark(1, coords='STDIN', mark='circle', radii=35, label=False, Stdin=pst, color=208)
# iraf.tvmark(1, coords='STDIN', mark='cross', length=35, label=False, Stdin=fitmag2, color=204)
idpsf = []
for i in range(len(pst)):
idpsf.append(pst[i].split()[2])
dmag = []
for i in range(len(radec)):
ra, dec, idph, magp2, magp3, magp4, merrp2, merrp3, merrp4 = radec[i].split()
dmag.append(9.99)
for j in range(len(fitmag)):
raf, decf, idf, magf, magerrf = fitmag[j].split()
if idph == idf and idph in idpsf and \
magp3 != 'INDEF' and magf != 'INDEF':
dmag[i] = float(magp3) - float(magf)
break
_dmag = np.compress(np.array(dmag) < 9.99, np.array(dmag))
print '>>> Aperture correction (phot) %6.3f +/- %5.3f %3d ' % \
(np.mean(_dmag), np.std(_dmag), len(_dmag))
if len(_dmag) > 3:
_dmag = np.compress(np.abs(_dmag - np.median(_dmag)) < 2 * np.std(_dmag), _dmag)
print '>>> 2 sigma rejection) %6.3f +/- %5.3f %3d [default]' \
% (np.mean(_dmag), np.std(_dmag), len(_dmag))
print '>>> fwhm %s ' % (str(fwhm))
for i in range(len(dmag)):
if dmag[i] == 9.99:
dmag[i] = ''
else:
dmag[i] = '%6.3f' % (dmag[i])
exptime = lsc.util.readkey3(hdr, 'exptime')
object = lsc.util.readkey3(hdr, 'object').replace(' ', '')
filtro = lsc.util.readkey3(hdr, 'filter')
#######################################
rap, decp, magp2, magp3, magp4, smagf, merrp3, smagerrf = [], [], [], [], [], [], [], []
rap0, decp0 = [], []
for i in range(len(radec2)):
aa = radec2[i].split()
rap.append(aa[0])
decp.append(aa[1])
rap0.append(lsc.lscabsphotdef.deg2HMS(ra=aa[0]))
decp0.append(lsc.lscabsphotdef.deg2HMS(dec=aa[1]))
idp = aa[2]
magp2.append(aa[3])
magp3.append(aa[4])
magp4.append(aa[5])
merrp3.append(aa[7])
_smagf, _smagerrf = 9999, 9999
for j in range(len(fitmag2)):
raf, decf, idf, magf, magerrf = fitmag2[j].split()
if idf == idp:
_smagf = magf
_smagerrf = magerrf
break
smagf.append(_smagf)
smagerrf.append(_smagerrf)
tbhdu = fits.BinTableHDU.from_columns(fits.ColDefs([fits.Column(name='ra', format='20A', array=np.array(rap)),
fits.Column(name='dec', format='20A', array=np.array(decp)),
fits.Column(name='ra0', format='E', array=np.array(rap0)),
fits.Column(name='dec0', format='E', array=np.array(decp0)),
fits.Column(name='magp2', format='E',
array=np.array(np.where((np.array(magp2) != 'INDEF'),
np.array(magp2), 9999), float)),
fits.Column(name='magp3', format='E',
array=np.array(np.where((np.array(magp3) != 'INDEF'),
np.array(magp3), 9999), float)),
fits.Column(name='merrp3', format='E',
array=np.array(np.where((np.array(merrp3) != 'INDEF'),
np.array(merrp3), 9999), float)),
fits.Column(name='magp4', format='E',
array=np.array(np.where((np.array(magp4) != 'INDEF'),
np.array(magp4), 9999), float)),
fits.Column(name='smagf', format='E',
array=np.array(np.where((np.array(smagf) != 'INDEF'),
np.array(smagf), 9999), float)),
fits.Column(name='smagerrf', format='E',
array=np.array(np.where((np.array(smagerrf) != 'INDEF'),
np.array(smagerrf), 9999),
float)),
]))
hdu = fits.PrimaryHDU(header=hdr)
thdulist = fits.HDUList([hdu, tbhdu])
lsc.util.delete(img + '.sn2.fits')
thdulist.writeto(img + '.sn2.fits')
lsc.util.updateheader(img + '.sn2.fits', 0, {'APCO': [np.mean(_dmag), 'Aperture correction']})
lsc.util.updateheader(img + '.sn2.fits', 0, {'APCOERR': [np.std(_dmag), 'Aperture correction error']})
lsc.util.updateheader(img + '.sn2.fits', 0, {'XDIM': [lsc.util.readkey3(hdr, 'naxis1'), 'x number of pixels']})
lsc.util.updateheader(img + '.sn2.fits', 0, {'YDIM': [lsc.util.readkey3(hdr, 'naxis2'), 'y number of pixels']})
lsc.util.updateheader(img + '.sn2.fits', 0,
{'PSF_FWHM': [fwhm * scale, 'FWHM (arcsec) - computed with daophot']})
os.chmod(img + '.sn2.fits', 0664)
os.chmod(img + '.psf.fits', 0664)
result = 1
except:
result = 0
fwhm = 0.0
traceback.print_exc()
return result, fwhm * scale
def ecpsf(img, ofwhm, threshold, psfstars, distance, interactive, psffun='gauss', fixaperture=False, _catalog='', _datamax=None, show=False):
try:
import lsc, string
hdr = lsc.util.readhdr(img + '.fits')
instrument = lsc.util.readkey3(hdr, 'instrume')
print 'INSTRUMENT:', instrument
if 'PIXSCALE' in hdr:
scale = lsc.util.readkey3(hdr, 'PIXSCALE')
elif 'CCDSCALE' in hdr:
if 'CCDXBIN' in hdr:
scale = lsc.util.readkey3(hdr, 'CCDSCALE') * lsc.util.readkey3(hdr, 'CCDXBIN')
elif 'CCDSUM' in hdr:
scale = lsc.util.readkey3(hdr, 'CCDSCALE') * int(string.split(lsc.util.readkey3(hdr, 'CCDSUM'))[0])
if _datamax is None:
_datamax = lsc.util.readkey3(hdr, 'datamax')
_wcserr = lsc.util.readkey3(hdr, 'wcserr')
print _wcserr
if float(_wcserr) == 0:
if 'L1FWHM' in hdr:
seeing = float(lsc.util.readkey3(hdr, 'L1FWHM'))
elif 'L1SEEING' in hdr:
seeing = float(lsc.util.readkey3(hdr, 'L1SEEING')) * scale
else:
seeing = 3
else:
seeing = 3
if 'PSF_FWHM' in hdr:
seeing = float(lsc.util.readkey3(hdr, 'PSF_FWHM'))
else:
sys.exit('astrometry not good')
#except: sys.exit('astrometry not good')
fwhm = seeing / scale
print 'FWHM[header] ', fwhm, ' in pixel'
if ofwhm: fwhm = float(ofwhm)
print ' FWHM[input] ', fwhm, ' in pixel'
xdim, ydim = iraf.hselect(img+'[0]', 'i_naxis1,i_naxis2', 'yes', Stdout=1)[0].split()
print img, fwhm, threshold, scale,xdim
#################################################################################
################### write file to compute psf _psf.coo ############
#################################################################################
if _catalog:
print '\n#### use catalog to measure the psf'
ddd=iraf.wcsctran(input=_catalog,output='STDOUT',Stdout=1,image=img + '[0]',inwcs='world',outwcs='logical',
units='degrees degrees',columns='1 2',formats='%10.1f %10.1f',verbose='no')
ddd=[i for i in ddd if i[0]!='#']
ddd=[' '.join(i.split()[0:3]) for i in ddd]
line=''
for i in ddd:
a,b,c = string.split(i)
if float(a) < float(xdim) and float(b) < float(ydim) and float(b) > 0:
line = line + '%10s %10s %10s \n' % (a, b, c)
if line:
ff = open('_psf.coo', 'w')
ff.write(line)
ff.close()
else:
sys.exit('error: no catalog objects are in the field')
elif interactive:
iraf.display(img + '[0]', 1, fill=True)
iraf.delete('tmp.lo?', verify=False)
print '_' * 80
print '>>> Mark reference stars with "a". Then "q"'
print '-' * 80
iraf.imexamine(img, 1, wcs='logical', logfile='tmp.log', keeplog=True)
xyrefer = iraf.fields('tmp.log', '1,2,6,15', Stdout=1)
xns, yns, _fws = [], [], []
############# write file for PSF #########################
ff = open('_psf.coo', 'w')
for i in range(len(xyrefer)):
xns.append(float(xyrefer[i].split()[0]))
yns.append(float(xyrefer[i].split()[1]))
_fws.append(float(xyrefer[i].split()[3]))
ff.write('%10.3f %10.3f %7.2f \n' % (xns[i], yns[i], float(_fws[i])))
ff.close()
fwhm = np.median(_fws)
else:
############ run sextractor #####################################
xs, ys, ran, decn, magbest, classstar, fluxrad, bkg = runsex(img, fwhm, threshold, scale)
tot = np.compress(abs(np.array(fluxrad) * 1.6 - fwhm) / fwhm < .5, fluxrad)
if len(tot) < 5:
print 'warning: fwhm from sexractor different from fwhm computed during pre-reduction'
print 'try using option --fwhm xxx'
ff = open('tmp.cursor', 'w')
image_hdu = fits.open(img + '.fits')
for i in range(len(xs)):
_xs = np.delete(xs, i)
_ys = np.delete(ys, i)
dist2 = np.sqrt((_xs - xs[i]) ** 2 + (_ys - ys[i]) ** 2)
########### cut star, not near other object ##########################
if abs(fluxrad[i] * 1.6 - fwhm) / fwhm < .5 and min(dist2) > distance * fwhm:
x1, x2 = int(xs[i] - fwhm * 3), int(xs[i] + fwhm * 3)
y1, y2 = int(ys[i] - fwhm * 3), int(ys[i] + fwhm * 3)
if x1 < 1: x1 = 1
if y1 < 1: y1 = 1
if x2 > int(xdim):
x2 = int(xdim)
if y2 > int(ydim):
y2 = int(ydim)
fmax = np.max(image_hdu[0].data[y1-1:y2, x1-1:x2])
########## cut saturated object ########################
if float(fmax) < _datamax: # not saturated
ff.write('%10.3f %10.3f 1 m \n' % (xs[i], ys[i]))
ff.close()
image_hdu.close()
iraf.delete('tmp.lo?,tmp.sta?,tmp.gk?', verify=False)
iraf.psfmeasure(img+'[0]', imagecur='tmp.cursor', logfile='tmp.log', radius=int(fwhm), iter=3,
display=False, StdoutG='tmp.gki')
ff = open('tmp.log')
righe = ff.readlines()
xn = [float(righe[3].split()[1])]
yn = [float(righe[3].split()[2])]
_fw = [float(righe[3].split()[4])]
for r in righe[4:-2]:
if len(r) > 0:
xn.append(float(r.split()[0]))
yn.append(float(r.split()[1]))
_fw.append(float(r.split()[3]))
print 'FWHM: ', righe[-1].split()[-1]
print 80 * "#"
######
############## eliminate double object identification ###########################
xns, yns, _fws = [xn[0]], [yn[0]], [_fw[0]]
for i in range(1, len(xn)):
if abs(xn[i] - xn[i - 1]) > .2 and abs(yn[i] - yn[i - 1]) > .2:
xns.append(xn[i])
yns.append(yn[i])
_fws.append(_fw[i])
######### write clean file for PSF #########################
fw = []
ff = open('_psf.coo', 'w')
for i in range(len(xns)):
if abs(_fws[i] - fwhm) / fwhm < .3:
ff.write('%10.3f %10.3f %7.2f \n' % (xns[i], yns[i], float(_fws[i])))
fw.append(_fws[i])
ff.close() ## End automatic selection
######################################################################################
################### write file of object to store in fits table #############
######################################################################################
if _catalog:
ddd=iraf.wcsctran(input=_catalog,output='STDOUT',Stdout=1,image=img + '[0]',inwcs='world',outwcs='logical',
units='degrees degrees',columns='1 2',formats='%10.1f %10.1f',verbose='no')
ddd=[i for i in ddd if i[0]!='#']
ddd=[' '.join(i.split()[0:3]) for i in ddd]
ff = open('_psf2.coo', 'w')
for i in ddd:
a,b,c = string.split(i)
ff.write('%10s %10s %10s \n' % (a, b, c))
ff.close()
elif interactive:
xs, ys, ran, decn, magbest, classstar, fluxrad, bkg = runsex(img, fwhm, threshold, scale)
ff = open('_psf2.coo', 'w')
for i in range(len(xs)):
ff.write('%10s %10s %10s \n' % (xs[i], ys[i], fluxrad[i]))
ff.close()
else:
os.system('cp _psf.coo _psf2.coo')
# dflux = fluxrad - np.median(fluxrad)
# fstar = np.compress(dflux < np.std(fluxrad), fluxrad)
#################################################################################################################
print 80 * "#"
photmag, pst, fitmag = psffit(img, fwhm, psfstars, hdr, interactive, _datamax, psffun, fixaperture)
photmag2, fitmag2 = psffit2(img, fwhm, psfstars, hdr, _datamax, psffun, fixaperture)
radec = iraf.wcsctran(input='STDIN', output='STDOUT', Stdin=photmag,
Stdout=1, image=img + '[0]', inwcs='logical', outwcs='world', columns="1 2",
format='%13.3H %12.2h', min_sig=9, mode='h')[3:]
radec2 = iraf.wcsctran(input='STDIN', output='STDOUT', Stdin=photmag2,
Stdout=1, image=img + '[0]', inwcs='logical', outwcs='world', columns="1 2",
format='%13.3H %12.2h', min_sig=9, mode='h')[3:]
if interactive or show:
iraf.set(stdimage='imt1024')
iraf.display(img + '[0]', 1, fill=True, Stdout=1)
iraf.tvmark(1, coords='STDIN', mark='circle', radii=15, label=True, Stdin=photmag, nxoffset=5, nyoffset=5, txsize=2)
iraf.tvmark(1, coords='STDIN', mark='circle', radii=35, label=False, Stdin=pst, color=208)
# iraf.tvmark(1, coords='STDIN', mark='cross', length=35, label=False, Stdin=fitmag2, color=204)
idpsf = []
for i in range(len(pst)):
idpsf.append(pst[i].split()[2])
dmag = []
for i in range(len(radec)):
ra, dec, idph, magp2, magp3, magp4, merrp2, merrp3, merrp4 = radec[i].split()
dmag.append(9.99)
for j in range(len(fitmag)):
raf, decf, idf, magf, magerrf = fitmag[j].split()
if idph == idf and idph in idpsf and \
magp3 != 'INDEF' and magf != 'INDEF':
dmag[i] = float(magp3) - float(magf)
break
_dmag = np.compress(np.array(dmag) < 9.99, np.array(dmag))
print '>>> Aperture correction (phot) %6.3f +/- %5.3f %3d ' % \
(np.mean(_dmag), np.std(_dmag), len(_dmag))
if len(_dmag) > 3:
_dmag = np.compress(np.abs(_dmag - np.median(_dmag)) < 2 * np.std(_dmag), _dmag)
print '>>> 2 sigma rejection) %6.3f +/- %5.3f %3d [default]' \
% (np.mean(_dmag), np.std(_dmag), len(_dmag))
print '>>> fwhm %s ' % (str(fwhm))
for i in range(len(dmag)):
if dmag[i] == 9.99:
dmag[i] = ''
else:
dmag[i] = '%6.3f' % (dmag[i])
exptime = lsc.util.readkey3(hdr, 'exptime')
object = lsc.util.readkey3(hdr, 'object').replace(' ', '')
filtro = lsc.util.readkey3(hdr, 'filter')
#######################################
rap, decp, magp2, magp3, magp4, smagf, merrp3, smagerrf = [], [], [], [], [], [], [], []
rap0, decp0 = [], []
for i in range(len(radec2)):
aa = radec2[i].split()
rap.append(aa[0])
decp.append(aa[1])
rap0.append(lsc.lscabsphotdef.deg2HMS(ra=aa[0]))
decp0.append(lsc.lscabsphotdef.deg2HMS(dec=aa[1]))
idp = aa[2]
magp2.append(aa[3])
magp3.append(aa[4])
magp4.append(aa[5])
merrp3.append(aa[7])
_smagf, _smagerrf = 9999, 9999
for j in range(len(fitmag2)):
raf, decf, idf, magf, magerrf = fitmag2[j].split()
if idf == idp:
_smagf = magf
_smagerrf = magerrf
break
smagf.append(_smagf)
smagerrf.append(_smagerrf)
tbhdu = fits.BinTableHDU.from_columns(fits.ColDefs([fits.Column(name='ra', format='20A', array=np.array(rap)),
fits.Column(name='dec', format='20A', array=np.array(decp)),
fits.Column(name='ra0', format='E', array=np.array(rap0)),
fits.Column(name='dec0', format='E', array=np.array(decp0)),
fits.Column(name='magp2', format='E',
array=np.array(np.where((np.array(magp2) != 'INDEF'),
np.array(magp2), 9999), float)),
fits.Column(name='magp3', format='E',
array=np.array(np.where((np.array(magp3) != 'INDEF'),
np.array(magp3), 9999), float)),
fits.Column(name='merrp3', format='E',
array=np.array(np.where((np.array(merrp3) != 'INDEF'),
np.array(merrp3), 9999), float)),
fits.Column(name='magp4', format='E',
array=np.array(np.where((np.array(magp4) != 'INDEF'),
np.array(magp4), 9999), float)),
fits.Column(name='smagf', format='E',
array=np.array(np.where((np.array(smagf) != 'INDEF'),
np.array(smagf), 9999), float)),
fits.Column(name='smagerrf', format='E',
array=np.array(np.where((np.array(smagerrf) != 'INDEF'),
np.array(smagerrf), 9999),
float)),
]))
hdu = fits.PrimaryHDU(header=hdr)
thdulist = fits.HDUList([hdu, tbhdu])
lsc.util.delete(img + '.sn2.fits')
thdulist.writeto(img + '.sn2.fits')
lsc.util.updateheader(img + '.sn2.fits', 0, {'APCO': [np.mean(_dmag), 'Aperture correction']})
lsc.util.updateheader(img + '.sn2.fits', 0, {'APCOERR': [np.std(_dmag), 'Aperture correction error']})
lsc.util.updateheader(img + '.sn2.fits', 0, {'XDIM': [lsc.util.readkey3(hdr, 'naxis1'), 'x number of pixels']})
lsc.util.updateheader(img + '.sn2.fits', 0, {'YDIM': [lsc.util.readkey3(hdr, 'naxis2'), 'y number of pixels']})
lsc.util.updateheader(img + '.sn2.fits', 0,
{'PSF_FWHM': [fwhm * scale, 'FWHM (arcsec) - computed with daophot']})
os.chmod(img + '.sn2.fits', 0664)
os.chmod(img + '.psf.fits', 0664)
result = 1
except:
result = 0
fwhm = 0.0
traceback.print_exc()
return result, fwhm * scale
def pyDaoFind(filename, scidata, pixelscale, frame=1, debug=False, pymark=True,
display=True, imageSigma='default', saturation=65000, qa=False):
xyArray = []
if display:
# Redirecting the screen prints of stdout so they don't appear when
# the next couple iraf routines are used
SAVEOUT = sys.stdout
capture = StringIO.StringIO()
sys.stdout = capture
# Setting the image buffer to the size of GMOS image
iraf.set(stdimage='imtgmos')
# Displaying the image with iraf.display which sends the image to ds9
iraf.display(filename, frame=frame)
# Return stdout to normal so prints will show on the screen
sys.stdout = SAVEOUT
# Mask out stars to get a good measure of background deviation for daofind
if imageSigma == 'default':
maskedImage = starMask(scidata)
imageSigma = maskedImage.std()
# Use default FWHM of 0.8 arcsec
daoFWHM = 0.8/pixelscale
maxObjects = 100
(fileName, exten) = paramutil.checkFileFitExtension(filename)
#print "IU40:", imageSigma, daoFWHM, saturation
# Start time for detecting the sources in the data frame
st = time.time()
if qa:
# Use a grid of sub-windows for detecting the sources rather than the entire frame at once.
# I will be the first to admit this is very unfriendly and kluged.
# Hopefully, I will have enough time to improve it
ratio = 5
currentGrid = 0
searchPattern = [12,13,11,7,17,6,8,16,18]
gridSize = len(searchPattern)
height, width = scidata.shape
grid_width = width / ratio
grid_height = height / ratio
while len(xyArray) <= maxObjects and currentGrid < gridSize:
grid = searchPattern[currentGrid]
xoffset = (grid % ratio) * grid_width
yoffset = (grid / ratio) * grid_height
xyArray += detectSources.detSources( filename, sigma=imageSigma,
threshold=3.0, fwhm=daoFWHM,
window=[(xoffset,yoffset,grid_width,grid_height)],
exts=exten )
currentGrid += 1
else:
xyArray = detectSources.detSources( filename, sigma=imageSigma,
threshold=2.0, fwhm=daoFWHM,
exts=exten )
# End time for detecting the sources in the data frame
et = time.time()
if debug:
print 'Time detSources took to find the sources:'+str(et-st)
if pymark:
## Mark objects found with daofind with blue 'X'
# Create the temporary file name
tmpFileName = 'tmpCoordFile'+str(os.getpid())+'.temp'
# Creating normal type file with temp name
tmpFile = file(tmpFileName, 'w')
# Write locations of objects found to temp file
for xy in xyArray:
tmpcoo2 = '%5d%6d\n'%(xy[0]+1,xy[1]+1)
tmpFile.write(tmpcoo2)
tmpFile.close()
# Use tvmark to mark the objects listed in the temp file with a blue X
iraf.tvmark(frame=frame,coords=tmpFileName,
mark='cross', color=206, pointsize=6)
# Delete the temp file from the system
filesystem.deleteFile(tmpFileName)
if debug:
#print 'PYEXAM - DAOFIND outputs: '+str(xyArray)
print "Number of Objects = ", len(xyArray)
return xyArray
def main():
allfiles = ['mo_flatdiv_biassub_trim_gN20091027S0133.fits','N20020214S059.fits','N20020606S0141.fits',
'N20080927S0183.fits','N20091002S0219.fits','N20091027S0133.fits','rgN20031029S0132.fits',
'rgS20031031S0035.fits','S20080922S0100.fits']
files = allfiles
files = ['N20091002S0219.fits']#['N20030427S0092.fits']#['mo_flatdiv_biassub_trim_gN20091027S0133.fits']
paramset = [
{'threshold':2, 'window':None, 'verbose':True, 'timing':True,
'grid':False, 'rejection':None},
]
labelStrs = pyraf.iraf.no
time_dict = {}
frameForDisplay = 1
dispFrame = 0
numtimes = 1
drawWindows = True
display = True
tmpFilename = 'tmpfile.tmp'
iraf.set(stdimage='imtgmos')
pydisplay = pyDisplay.getDisplay()
sfilt = starFilter.starFilter()
for fil in files:
ext = 1
while ext < 2:
indi = 0
for param in paramset:
indi += 1
for i in range(numtimes):
ds9 = pydisplay.getDisplayTool( 'ds9', 'myds9' )
try:
print '-'*50
if display:
try:
iraf.display( fil+'['+str(ext)+']', frameForDisplay)
except:
break
else:
try:
pf.getdata( fil, ext )
except:
break
if frameForDisplay > 0:
dispFrame = frameForDisplay - 1
xyArray, filTime = ds.detSources( fil, dispFrame=dispFrame, drawWindows=drawWindows, exts=ext, **param )
end_time = time.time()
scidata = pf.getdata( fil, ext )
xyArray = sfilt.filterStars( scidata, xyArray)
key = fil +'['+str(ext)+'] P'+str(indi)
if not time_dict.has_key(key):
time_dict[key] = []
time_dict[key].append((filTime,len(xyArray)))
#print xyArray
if display:
tmpFile = open( tmpFilename, 'w' )
index = 0
toWrite = ''
for coords in xyArray:
toWrite += '%s %s %s\n' %(str(coords[0]), str(coords[1]), str(index))
index += 1
tmpFile.write( toWrite )
tmpFile.close()
iraf.tvmark( frame=dispFrame,coords=tmpFilename, mark='point',
pointsize=1, color=204, label=labelStrs )
#tutorExam( ds9, scidata, xyArray, ext)
except:
print "'" + fil + "': Failed"
raise
#frameForDisplay += 1
ext += 1
timelisting = sorted(time_dict.keys())
print timelisting
print 'Number of Runs:', numtimes
for entry in timelisting:
sum = 0
objsum = 0
for val in time_dict[entry]:
sum += val[0]
objsum += val[1]
print "'" + entry + "': Time was (" + str( sum/numtimes ) + ")\tsecs / Objects ("+str(objsum)+")"
# ds.markText( 0, 2200, dispText )
else:
# this was a kludge to mark the image with the metric
# The following i)s annoying IRAF file methodology.
tmpFilename = 'tmpfile.tmp'
tmpFile = open( tmpFilename, 'w' )
coords = '100 2100 fwhm=%(fwhm)s\n100 2050 elli=%(ell)s\n' %{'fwhm':str(rq.fwhmMean),
'ell':str(rq.ell_mean)}
tmpFile.write( coords )
tmpFile.close()
#print 'r165: importing iraf again'
import pyraf
from pyraf import iraf
iraf.tvmark( frame=dispFrame,coords=tmpFilename,
pointsize=0, color=204, label=pyraf.iraf.yes )
et = time.time()
#print 'RED422:', (et - st)
# note: will this throw away rq's, should throw exception? review
# why do this, better to assert it IS empty than empty it?
coi.clear_rqs()
#dump the reduction context object
if coi['rtf']:
results = open( "test.result", "a" )
#results.write( "\t\t\t<< CONTROL LOOP " + str(controlLoopCounter" >>\n")
#print "\t\t\t<< CONTROL LOOP ", controlLoopCounter," >>\n"
#print "#" * 80
#controlLoopCounter += 1
results.write( str( coi ) )
lll = [str(_ra) + ' ' + str(_dec)]
iraf.wcsctran('STDIN',
'tmp.pix',
img,
Stdin=lll,
inwcs='world',
units='degrees degrees',
outwcs='logical',
columns='1 2',
formats='%10.1f %10.1f')
if _show:
iraf.tvmark(1,
'tmp.pix',
mark="circle",
number='yes',
radii=10,
nxoffse=5,
nyoffse=5,
color=214,
txsize=2)
xx0, yy0 = string.split(
iraf.fields('tmp.pix', '1,2', Stdout=1)[2])
print xx0, yy0
os.system('rm -rf tmp.*')
else:
xx0, yy0 = '', ''
else:
xx0 = ''
if xx0 == '' and not _interactive: skip = 1
def ecpsf(img, ofwhm, threshold, psfstars, distance, interactive, ds9, psffun='gauss', fixaperture=False,_catalog='',_datamax=''):
try:
import agnkey
hdr = agnkey.util.readhdr(img + '.fits')
instrument = agnkey.util.readkey3(hdr, 'instrume')
print ('INSTRUMENT:', instrument)
if 'PIXSCALE' in hdr:
pixelscale = agnkey.util.readkey3(hdr, 'PIXSCALE')
elif 'CCDSCALE' in hdr:
if 'CCDXBIN' in hdr:
pixelscale = agnkey.util.readkey3(hdr, 'CCDSCALE') * agnkey.util.readkey3(hdr, 'CCDXBIN')
elif 'CCDSUM' in hdr:
pixelscale = agnkey.util.readkey3(hdr, 'CCDSCALE') * int(
string.split(agnkey.util.readkey3(hdr, 'CCDSUM'))[0])
if 'kb' in instrument:
scale = pixelscale
if not _datamax:
_datamax = 45000
elif 'fl' in instrument:
scale = pixelscale
if not _datamax:
_datamax = 60000
elif 'fa' in instrument:
scale = pixelscale
if not _datamax:
_datamax = 60000
elif 'fs' in instrument:
scale = pixelscale
if not _datamax:
_datamax = 65000
try:
#if 1==1:
if 'WCSERR' in hdr:
_wcserr = hdr['WCSERR']
elif 'WCS_ERR' in hdr:
_wcserr = hdr['WCS_ERR']
print _wcserr
if float(_wcserr) == 0:
if 'kb' in instrument:
seeing = float(agnkey.util.readkey3(hdr, 'L1FWHM')) * .75
elif 'fl' in instrument:
seeing = float(agnkey.util.readkey3(hdr, 'L1FWHM')) * .75
elif 'fa' in instrument:
seeing = float(agnkey.util.readkey3(hdr, 'L1FWHM')) * .75
elif 'fs' in instrument:
if 'L1FWHM' in hdr:
seeing = float(agnkey.util.readkey3(hdr, 'L1FWHM')) * .75
elif 'L1SEEING' in hdr:
seeing = float(agnkey.util.readkey3(hdr, 'L1SEEING')) * scale
else:
seeing = 3
else:
seeing = 3
else:
seeing = float(agnkey.util.readkey3(hdr, 'PSF_FWHM'))
sys.exit('astrometry not good')
except ValueError:
# except:
sys.exit('astrometry not good')
fwhm = seeing / scale
print 'FWHM[header] ', fwhm, ' in pixel'
if ofwhm: fwhm = float(ofwhm)
print ' FWHM[input] ', fwhm, ' in pixel'
xdim, ydim = iraf.hselect(img+'.fits[0]', 'i_naxis1,i_naxis2', 'yes', Stdout=1)[0].split()
print img, fwhm, threshold, scale
#################################################################################
################### write file to compute psf _psf.coo ############
#################################################################################
if interactive:
iraf.set(stdimage='imt1024')
iraf.display(img+'.fits[0]', 1, fill=True)
iraf.delete('tmp.lo?', verify=False)
print '_' * 80
print '>>> Mark reference stars with "a". Then "q"'
print '-' * 80
iraf.imexamine(img+'[0]', 1, wcs='logical', logfile='tmp.log', keeplog=True)
xyrefer = iraf.fields('tmp.log', '1,2,6,15', Stdout=1)
xns, yns, _fws = [], [], []
############# write file for PSF #########################
ff = open('_psf.coo', 'w')
for i in range(len(xyrefer)):
xns.append(float(xyrefer[i].split()[0]))
yns.append(float(xyrefer[i].split()[1]))
_fws.append(float(xyrefer[i].split()[3]))
ff.write('%10.3f %10.3f %7.2f \n' % (xns[i], yns[i], float(_fws[i])))
ff.close()
fwhm = np.median(_fws)
else:
############ run sextractor #####################################
xs, ys, ran, decn, magbest, classstar, fluxrad, bkg = runsex(img, fwhm, threshold, scale)
_ra1,_dec1,xx11,yy11,_mag,_dist = agnkey.agnastrodef.starsfields(img+'.fits',20,19)
if len(_ra1):
dist,pos0,pos1 = agnkey.agnastrodef.crossmatchxy(xs,ys,xx11,yy11,10)
if len(pos0):
xs = xs[pos0]
ys = ys[pos0]
ran = ran[pos0]
decn = decn[pos0]
magbest = magbest[pos0]
classstar = classstar[pos0]
fluxrad = fluxrad[pos0]
bkg = bkg[pos0]
ff = open('tmp.cursor', 'w')
for i in range(len(xs)):
x1, x2 = int(xs[i] - fwhm * 3), int(xs[i] + fwhm * 3)
y1, y2 = int(ys[i] - fwhm * 3), int(ys[i] + fwhm * 3)
sect = '[' + str(x1) + ':' + str(x2) + ',' + str(y1) + ':' + str(y2) + ']'
try:
fmax = iraf.imstat(img+'.fits[0]' + sect, fields='max', Stdout=1)[1]
########## cut saturated object ########################
if float(fmax) < _datamax: # not saturated
ff.write('%10.3f %10.3f 1 m \n' % (xs[i], ys[i]))
except:
print sect
# print 'problem here'
# pass
ff.close()
iraf.delete('tmp.lo?,tmp.sta?,tmp.gk?', verify=False)
iraf.psfmeasure(img+'[0]', imagecur='tmp.cursor', logfile='tmp.log', radius=int(fwhm), iter=3,
display=False, StdoutG='tmp.gki')
ff = open('tmp.log')
righe = ff.readlines()
xn = [float(righe[3].split()[1])]
yn = [float(righe[3].split()[2])]
_fw = [float(righe[3].split()[4])]
for r in righe[4:-2]:
if len(r) > 0:
xn.append(float(r.split()[0]))
yn.append(float(r.split()[1]))
_fw.append(float(r.split()[3]))
print 'FWHM: ', righe[-1].split()[-1]
print 80 * "#"
######
############## eliminate double object identification ###########################
xns, yns, _fws = [xn[0]], [yn[0]], [_fw[0]]
for i in range(1, len(xn)):
if abs(xn[i] - xn[i - 1]) > .2 and abs(yn[i] - yn[i - 1]) > .2:
xns.append(xn[i])
yns.append(yn[i])
_fws.append(_fw[i])
######### write clean file for PSF #########################
fw = []
ff = open('_psf.coo', 'w')
for i in range(len(xns)):
ff.write('%10.3f %10.3f %7.2f \n' % (xns[i], yns[i], float(_fws[i])))
fw.append(_fws[i])
ff.close() ## End automatic selection
######################################################################################
################### write file of object to store in fits table #############
######################################################################################
if interactive:
xs, ys, ran, decn, magbest, classstar, fluxrad, bkg = runsex(img, fwhm, threshold, scale)
ff = open('_psf2.coo', 'w')
for i in range(len(xs)):
ff.write('%10s %10s %10s \n' % (xs[i], ys[i], fluxrad[i]))
ff.close()
elif _catalog:
print '\n#### use catalog '
ddd=iraf.wcsctran(input=_catalog,output='STDOUT',Stdout=1,image=img,inwcs='world',outwcs='logical',
units='degrees degrees',columns='1 2',formats='%10.1f %10.1f',verbose='no')
ddd=[i for i in ddd if i[0]!='#']
ddd=[' '.join(i.split()[0:3]) for i in ddd]
ff = open('_psf2.coo', 'w')
for i in ddd:
a,b,c = string.split(i)
ff.write('%10s %10s %10s \n' % (a, b, c))
ff.close()
print 'use catalog'
else:
os.system('cp _psf.coo _psf2.coo')
# print '\n### use sextractor'
# xs, ys, ran, decn, magbest, classstar, fluxrad, bkg = runsex(img, fwhm, threshold, scale)
# ff = open('_psf2.coo', 'w')
# for i in range(len(xs)):
# ff.write('%10s %10s %10s \n' % (xs[i], ys[i], fluxrad[i]))
# ff.close()
###################################################################################
print 80 * "#"
photmag, pst, fitmag = psffit(img, fwhm, psfstars, hdr, interactive, _datamax, psffun, fixaperture)
photmag2, fitmag2 = psffit2(img, fwhm, psfstars, hdr, _datamax, psffun, fixaperture)
radec = iraf.wcsctran(input='STDIN', output='STDOUT', Stdin=photmag, \
Stdout=1, image=img+'.fits[0]', inwcs='logical', outwcs='world', columns="1 2", \
format='%13.3H %12.2h', min_sig=9, mode='h')[3:]
radec2 = iraf.wcsctran(input='STDIN', output='STDOUT', Stdin=photmag2, \
Stdout=1, image=img+'.fits[0]', inwcs='logical', outwcs='world', columns="1 2", \
format='%13.3H %12.2h', min_sig=9, mode='h')[3:]
if ds9 == 0 and interactive:
iraf.set(stdimage='imt1024')
iraf.display(img, 1, fill=True, Stdout=1)
iraf.tvmark(1, coords='STDIN', mark='circle', radii=15, label=False, Stdin=photmag)
iraf.tvmark(1, coords='STDIN', mark='rectangle', length=35, label=False, Stdin=pst)
iraf.tvmark(1, coords='STDIN', mark='cross', length=35, label=False, Stdin=fitmag2, color=204)
idpsf = []
for i in range(len(pst)):
idpsf.append(pst[i].split()[2])
dmag = []
for i in range(len(radec)):
ra, dec, idph, magp2, magp3, magp4, merrp2, merrp3, merrp4 = radec[i].split()
dmag.append(9.99)
for j in range(len(fitmag)):
raf, decf, idf, magf, magerrf = fitmag[j].split()
if idph == idf and idph in idpsf and \
magp3 != 'INDEF' and magf != 'INDEF':
dmag[i] = float(magp3) - float(magf)
break
_dmag = np.compress(np.array(dmag) < 9.99, np.array(dmag))
print '>>> Aperture correction (phot) %6.3f +/- %5.3f %3d ' % \
(np.mean(_dmag), np.std(_dmag), len(_dmag))
if len(_dmag) > 3:
_dmag = np.compress(abs(_dmag - np.median(_dmag)) < 2 * np.std(_dmag), _dmag)
print '>>> 2 sigma rejection) %6.3f +/- %5.3f %3d [default]' \
% (np.mean(_dmag), np.std(_dmag), len(_dmag))
print '>>> fwhm %s ' % (str(fwhm))
for i in range(len(dmag)):
if dmag[i] == 9.99:
dmag[i] = ''
else:
dmag[i] = '%6.3f' % (dmag[i])
exptime = agnkey.util.readkey3(hdr, 'exptime')
object = agnkey.util.readkey3(hdr, 'object').replace(' ', '')
filtro = agnkey.util.readkey3(hdr, 'filter')
#######################################
rap, decp, magp2, magp3, magp4, smagf = [], [], [], [], [], []
merrp2, merrp3, merrp4, smagerrf = [], [], [], []
rap0, decp0 = [], []
for i in range(len(radec2)):
aa = radec2[i].split()
rap.append(aa[0])
decp.append(aa[1])
rap0.append(agnkey.agnabsphotdef.deg2HMS(ra=aa[0]))
decp0.append(agnkey.agnabsphotdef.deg2HMS(dec=aa[1]))
idp = aa[2]
magp2.append(aa[3])
magp3.append(aa[4])
magp4.append(aa[5])
merrp2.append(aa[6])
merrp3.append(aa[7])
merrp4.append(aa[8])
_smagf, _smagerrf = 9999, 9999
for j in range(len(fitmag2)):
raf, decf, idf, magf, magerrf = fitmag2[j].split()
if idf == idp:
_smagf = magf
_smagerrf = magerrf
break
smagf.append(_smagf)
smagerrf.append(_smagerrf)
new_cols = pyfits.ColDefs([
pyfits.Column(name='ra', format='20A', array=np.array(rap)),
pyfits.Column(name='dec', format='20A', array=np.array(decp)),
pyfits.Column(name='ra0', format='E', array=np.array(rap0)),
pyfits.Column(name='dec0', format='E', array=np.array(decp0)),
pyfits.Column(name='magp2', format='E', array=np.array(np.where((np.array(magp2) != 'INDEF'),
np.array(magp2), 9999), float)),
pyfits.Column(name='magp3', format='E', array=np.array(np.where((np.array(magp3) != 'INDEF'),
np.array(magp3), 9999), float)),
pyfits.Column(name='magp4', format='E', array=np.array(np.where((np.array(magp4) != 'INDEF'),
np.array(magp4), 9999), float)),
pyfits.Column(name='merrp2', format='E', array=np.array(np.where((np.array(merrp2) != 'INDEF'),
np.array(merrp2), 9999), float)),
pyfits.Column(name='merrp3', format='E', array=np.array(np.where((np.array(merrp3) != 'INDEF'),
np.array(merrp3), 9999), float)),
pyfits.Column(name='merrp4', format='E', array=np.array(np.where((np.array(merrp4) != 'INDEF'),
np.array(merrp4), 9999), float)),
pyfits.Column(name='smagf', format='E', array=np.array(np.where((np.array(smagf) != 'INDEF'),
np.array(smagf), 9999), float)),
pyfits.Column(name='smagerrf', format='E', array=np.array(np.where((np.array(smagerrf) != 'INDEF'),
np.array(smagerrf), 9999), float)),
])
tbhdu = pyfits.BinTableHDU.from_columns(new_cols)
hdu = pyfits.PrimaryHDU(header=hdr)
thdulist = pyfits.HDUList([hdu, tbhdu])
agnkey.util.delete(img + '.sn2.fits')
thdulist.writeto(img + '.sn2.fits')
agnkey.util.updateheader(img + '.sn2.fits', 0, {'APCO': [np.mean(_dmag), 'Aperture correction']})
agnkey.util.updateheader(img + '.sn2.fits', 0, {'APCOERR': [np.std(_dmag), 'Aperture correction error']})
agnkey.util.updateheader(img + '.sn2.fits', 0,
{'XDIM': [agnkey.util.readkey3(hdr, 'naxis1'), 'x number of pixels']})
agnkey.util.updateheader(img + '.sn2.fits', 0,
{'YDIM': [agnkey.util.readkey3(hdr, 'naxis2'), 'y number of pixels']})
agnkey.util.updateheader(img + '.sn2.fits', 0,
{'PSF_FWHM': [fwhm * scale, 'FWHM (arcsec) - computed with daophot']})
os.chmod(img + '.sn2.fits', 0664)
os.chmod(img + '.psf.fits', 0664)
result = 1
except IOError as e:
print e
result = 0
fwhm = 0.0
traceback.print_exc()
return result, fwhm * scale
_dec= [_dec0]
else:
sys.exit('no box and sn coordinate ')
if _ra and _dec:
os.system('rm -rf tmp.*')
lll=[]
for jj in range(0,len(_ra)):
lll.append(str(_ra[jj]) + ' ' + str(_dec[jj]))
#lll = [str(_ra) + ' ' + str(_dec)]
iraf.wcsctran('STDIN', 'tmp.pix', img + '[0]', Stdin=lll, inwcs='world', units='degrees degrees',
outwcs='logical', columns='1 2', formats='%10.1f %10.1f')
if _show:
iraf.tvmark(1, 'tmp.pix', mark="circle", number='yes', radii=10, nxoffse=5, nyoffse=5,
color=214, txsize=2)
xxsn, yysn = [], []
for kk in iraf.fields('tmp.pix', '1,2', Stdout=1):
if kk:
xxsn.append(string.split(kk)[0])
yysn.append(string.split(kk)[1])
xxsn = array(xxsn,float)
yysn = array(yysn,float)
print 'SN coordinate ',xxsn, yysn
if _ra0 and _dec0:
os.system('rm -rf tmp.*')
lll = [str(_ra0) + ' ' + str(_dec0)]
def plot2masspos(im):
infile=open('fp_2mass.fp_psc1374.tbl','r')
dra=[]
ddec=[]
iraf.imgets(image=im,param='RA')#get RA of image
t=iraf.imgets.value
t1=t.split(':')
for i in range(len(t1)):#convert to floats
t1[i]=float(t1[i])
RAcenter=15.*(t1[0]+t1[1]/60.+t1[2]/3600.)#convert to degrees
iraf.imgets(image=im,param='DEC')#get RA of image
t=iraf.imgets.value
t1=t.split(':')
for i in range(len(t1)):#convert to floats
t1[i]=float(t1[i])
DECcenter=(t1[0]+t1[1]/60.+t1[2]/3600.)#convert to degrees
for line in infile:
if line.find('\\') > -1:
continue
if line.find('=') > -1:
continue
if line.find('|') > -1:
continue
t=line.split()
if (float(t[6]) >15.):
continue
ra=(float(t[1])-RAcenter)*N.cos(N.pi/180.*float(t[2]))#correct delta ra for cos declination
dec=(DECcenter-float(t[2]))#makes east to the left
ra=ra*3600.#convert to arcsec
dec=dec*3600.
dra.append(ra)#save offsets from center position
ddec.append(dec)#save offsets from center
dra=N.array(dra,'f')
ddec=N.array(ddec,'f')
infile.close()
xcenter=512
ycenter=512
plate=0.5#arcsec/pixel
#convert offsets to pixels on pisces at 90"
x=dra/plate
y=ddec/plate
#center at (512,512) in pixel coordinates
x=x+xcenter
y=y+ycenter
#reflect about y axis and then swap x & y to match the orientation of pisces
x=imxmax-x#reflect about x
yt=x#swap x & t
xt=y
xt=imxmax-xt
dy=-26.
dx=20.
for i in range(1000):
yt=yt+dy
xt=xt+dx
outfile=open('2masscoords.dat','w')
for i in range(len(x)):
s="%8.2f %8.2f \n"%(xt[i],yt[i])
outfile.write(s)
outfile.close()
iraf.display(im,2)
iraf.tvmark(2,'testxy.cat',color=207,radii=5)
iraf.tvmark(2,'2masscoords.dat',color=206,radii=7.)
try:
flag= raw_input("how does it look? 1=keep, 0=adjust positions \n")
flag=float(flag)
except ValueError:
print "Sorry, didn't get that. Let's try one more time."
flag= raw_input("how does it look? 1=keep, 0=adjust positions \n")
flag=float(flag)
if flag > .1:
break
dx=raw_input("enter new x offset for sdss coords\n")
dx=float(dx)
dy=raw_input("enter new y offset for sdss coords\n")
dy=float(dy)
def makeillumination(lista, flatfield): #,outputfile,illum_frame):
import os, glob, string, re
from astropy.io import fits as pyfits
import ntt
from ntt.util import readhdr, readkey3, delete, display_image, defsex, name_duplicate, correctcard
from numpy import compress, array, argmax, argmin, min, argsort, float32
import datetime
MJDtoday = 55927 + (datetime.date.today() -
datetime.date(2012, 01, 01)).days
_date = readkey3(readhdr(lista[0]), 'date-night')
_filter = readkey3(readhdr(lista[0]), 'filter')
illum_frame = name_duplicate(
lista[0], 'illum_' + _date + '_' + _filter + '_' + str(MJDtoday), '')
from pyraf import iraf
iraf.images(_doprint=0, Stdout=0)
iraf.imutil(_doprint=0, Stdout=0)
iraf.utilities(_doprint=0, Stdout=0)
iraf.noao(_doprint=0, Stdout=0)
iraf.imred(_doprint=0, Stdout=0)
iraf.ccdred(_doprint=0, Stdout=0)
iraf.digiphot(_doprint=0, Stdout=0)
iraf.daophot(_doprint=0, Stdout=0)
iraf.generic(_doprint=0, Stdout=0)
toforget = [
'digiphot.daophot', 'imutil.imarith', 'image', 'utilities.surfit'
]
for t in toforget:
iraf.unlearn(t)
n = len(lista)
# start loop to read image names from the input file
lista1 = []
iraf.ccdred.verbose = 'no'
ff = open('templist.lst', 'w')
for i in range(0, len(lista)):
ff.write('C' + lista[i] + '\n')
delete('C' + lista[i])
delete('C' + re.sub('.fits', '_sub.fits', lista[i]))
ntt.sofiphotredudef.crosstalk(lista[i], 'C' + lista[i])
iraf.noao.imred.ccdred.ccdproc('C' + lista[i],
output='',
overscan="no",
trim="yes",
ccdtype='',
darkcor='no',
fixpix='no',
zerocor="no",
flatcor='yes',
illumco='no',
trimsec='[1:1024,1:1007]',
biassec='',
flat=flatfield,
illum='')
correctcard('C' + lista[i])
lista1.append('C' + lista[i])
ff.close()
print '\n### prereducing STD frames to compute illumination correction ........'
lista2, skyfile = ntt.sofiphotredudef.skysub(
lista1, readkey3(readhdr(lista1[0]), 'ron'),
readkey3(readhdr(lista1[0]), 'gain'), True)
lista2 = ntt.sofiphotredudef.sortbyJD(lista2)
print '\n### use x on the star and q to continue....'
display_image(lista2[0], 2, '', '', False)
delete('tmpone.coo')
iraf.image.tv.imexamine(lista2[0],
2,
logfile='tmpone.coo',
keeplog='yes',
xformat='',
yformat='',
wcs='logical')
iraf.tvmark(2,
'tmpone.coo',
mark="circle",
number='yes',
label='no',
radii=8,
nxoffse=5,
nyoffse=5,
color=204,
txsize=2)
xycoo = iraf.proto.fields('tmpone.coo', '1,2', Stdout=1)
x0, y0 = string.split(xycoo[0])
x0 = float(x0)
y0 = float(y0)
xcum0 = readkey3(readhdr(lista2[0]), 'xcum')
ycum0 = readkey3(readhdr(lista2[0]), 'ycum')
iraf.digiphot(_doprint=0, Stdout=0)
iraf.daophot(_doprint=0, Stdout=0)
iraf.noao.digiphot.daophot.datapars.datamin = -1000
iraf.noao.digiphot.daophot.datapars.datamax = 60000
iraf.noao.digiphot.daophot.daopars.function = 'gauss'
iraf.noao.digiphot.daophot.photpars.zmag = 0
namesex = defsex('default.sex')
for i in range(0, len(lista2)):
j = i + 1
xcum = readkey3(readhdr(lista2[i]), 'xcum')
ycum = readkey3(readhdr(lista2[i]), 'ycum')
xx = x0 - xcum0 + xcum
yy = y0 - ycum0 + ycum
# sex objects
os.system('sex ' + lista2[i] + ' -c ' + namesex + '> _logsex')
delete('_logsex')
xpix = iraf.proto.fields('detections.cat', fields='2', Stdout=1)
ypix = iraf.proto.fields('detections.cat', fields='3', Stdout=1)
cm = iraf.proto.fields('detections.cat', fields='4', Stdout=1)
cm = compress((array(xpix) != ''), array(cm, float))
ypix = compress((array(xpix) != ''), array(ypix, float))
xpix = compress((array(xpix) != ''), array(xpix, float))
if len(xpix) > 300:
num = 300
else:
num = len(xpix) - 1
xpix = xpix[argsort(cm)][0:num]
ypix = ypix[argsort(cm)][0:num]
distance = (ypix - yy)**2 + (xpix - xx)**2
xx1, yy1 = xpix[argmin(distance)], ypix[argmin(distance)]
f = open('tmpone.coo', 'w')
f.write(str(xx1) + ' ' + str(yy1) + '\n')
f.close()
display_image(lista2[i], 1, '', '', False)
iraf.tvmark(1,
'tmpone.coo',
mark="circle",
number='yes',
label='no',
radii=8,
nxoffse=5,
nyoffse=5,
color=204,
txsize=2)
answ = 'n'
while answ != 'y':
answ = raw_input('selected the right one [[y]/n] ?')
if not answ:
answ = 'y'
if answ in ['y', 'YES', 'yes', 'Y']:
print lista2[i]
delete('pippo.' + str(j) + '.mag')
gggg = iraf.digiphot.daophot.phot(lista2[i],
"tmpone.coo",
output="pippo." + str(j) +
".mag",
verify='no',
interac='no',
Stdout=1)
try:
float(string.split(gggg[0])[3])
answ = 'y'
except:
print '\n### warning'
answ = 'n'
else:
print '\n### select the std star'
display_image(lista2[i], 1, '', '', False)
iraf.image.tv.imexamine(lista2[i],
1,
logfile='tmpone.coo',
keeplog='yes',
xformat='',
yformat='',
wcs='logical')
xycoo = iraf.proto.fields('tmpone.coo', '1,2', Stdout=1)
x2, y2 = string.split(xycoo[0])
f = open('tmpone.coo', 'w')
f.write(str(x2) + ' ' + str(y2) + '\n')
f.close()
delete('pippo.' + str(j) + '.mag')
print '###### new selection ' + str(x2), str(y2)
gggg = iraf.digiphot.daophot.phot(lista2[i],
"tmpone.coo",
output='pippo.' + str(j) +
'.mag',
verify='no',
interac='no',
Stdout=1)
try:
float(string.split(gggg[0])[3])
answ = 'y'
except:
print '\n### warning'
answ = 'n'
os.system('ls pippo.*.mag > tempmag.lst')
tmptbl0 = iraf.txdump(textfile="@tempmag.lst",
fields="XCENTER,YCENTER,FLUX",
expr='yes',
Stdout=1)
ff = open('magnitudini', 'w')
for i in tmptbl0:
ff.write(i + '\n')
ff.close()
# delete the temporary images and files
delete("temp*.fits")
delete('temp*.lst')
delete(illum_frame)
print '\n### fitting the illumination surface...'
aaa = iraf.utilities.surfit('magnitudini',
image=illum_frame,
function="polynomial",
xorder=2,
yorder=2,
xterms="full",
ncols=1024,
nlines=1024,
Stdout=1)
iraf.noao.imred.generic.normalize(illum_frame)
correctcard(lista[0])
data, hdr = pyfits.getdata(illum_frame, 0, header=True)
data0, hdr0 = pyfits.getdata(lista[0], 0, header=True)
delete(illum_frame)
pyfits.writeto(illum_frame, float32(data), hdr0)
flatfield0 = string.split(flatfield, '/')[-1]
ntt.util.updateheader(illum_frame, 0,
{'MKILLUM': [flatfield0, 'flat field']})
display_image(illum_frame, 1, '', '', False)
for i in range(0, len(lista)): # in lista:
img = lista[i]
delete('pippo.' + str(i) + '.mag')
delete('C' + img)
delete('C' + re.sub('.fits', '_sky.fits', img))
# delete('C*.fits.mag.1')
# iraf.hedit(illum_frame,'MKILLUM','Illum. corr. created '+flatfield,add='yes',update='yes',verify='no')
return illum_frame
def manusn(img, imgpsf, dmag0, apori1, apori2, apori3, apmag1, apmag2, apmag3,
fitmag, truemag, magerr, centx, centy, z11, z22, midpt, size, fwhm0,
x1, y1, arterr):
from pyraf import iraf
import lsc
import string, re, sys, os
from numpy import zeros
a2 = int(2. * fwhm0 + .5)
fdmag = 10**(-0.4 * float(dmag0))
lsc.util.delete(",_snfit.fit?,skyfit.fit?,_snfit.ar?")
if truemag[0] == 'INDEF':
print 'ACTUNG'
magerr[0] = 0.0
lsc.util.delete('test.fits')
os.system('echo ' +
str(iraf.field(img + '.sn.coo', field='1,2', Stdout=1)[0]) +
' ' + dmag0 + ' > dddd')
iraf.addstar("snfit",
"dddd",
imgpsf,
"_snfit",
nstar=1,
veri='no',
simple='yes',
verb='yes')
lsc.util.delete('dddd')
else:
iraf.imarith("snfit.fits", "*", fdmag, "_snfit.fits")
iraf.imarith("original.fits", "-", "_snfit.fits", "skyfit.fits")
_tmp1, _tmp2, goon = lsc.util.display_image('original.fits',
1,
z11,
z22,
False,
_xcen=.25,
_ycen=.25,
_xsize=.3,
_ysize=.3)
print z11, z22, midpt
z01 = float(z11) - float(midpt)
z02 = float(z22) - float(midpt)
s1 = 1
s2 = -int(fwhm0)
lsc.util.delete("tmptbl")
ff = open('tmptbl', 'w')
ff.write(str(s1) + ' ' + str(s2) + " ORIGINAL")
ff.close()
iraf.tvmark(1,
"tmptbl",
autol='yes',
mark="none",
inter='no',
label='yes',
txsize=2)
_tmp1, _tmp2, goon = lsc.util.display_image('_snfit.fits',
1,
z01,
z02,
False,
_xcen=.25,
_ycen=.75,
_xsize=.3,
_ysize=.3,
_erase='no')
lsc.util.delete("tmptbl")
tmptbl = iraf.txdump(img + ".sn.als", "xcen,ycen", expr='yes', Stdout=1)
ff = open('tmptbl', 'w')
for i in tmptbl:
ff.write(i)
ff.close()
lra = int((2 * size * fwhm0) * 2)
iraf.tvmark(1,
"tmptbl",
autol='no',
mark="circle",
number='yes',
nyoffset=lra,
radi=a2,
txsize=2,
inter='no')
s1 = 1
s2 = -int(fwhm0)
lsc.util.delete("tmptbl")
ff = open('tmptbl', 'w')
ff.write(str(s1) + ' ' + str(s2) + " FITTED")
ff.close()
iraf.tvmark(1,
"tmptbl",
autol='no',
mark="none",
inter='no',
label='yes',
txsize=2)
_tmp1, _tmp2, goon = lsc.util.display_image('skyfit.fits',
1,
z11,
z22,
False,
_xcen=.75,
_ycen=.25,
_xsize=.3,
_ysize=.3,
_erase='no')
s1 = 1
s2 = -int(fwhm0)
lsc.util.delete("tmptbl")
ff = open('tmptbl', 'w')
ff.write(str(s1) + ' ' + str(s2) + " RESIDUAL")
ff.close()
iraf.tvmark(1,
"tmptbl",
autol='no',
mark="none",
inter='no',
label='yes',
txsize=2)
newmag = list(zeros(len(truemag)))
for i in range(0, len(truemag)):
try:
newmag[i] = float(truemag[i]) + float(dmag0)
except:
newmag[i] = float(dmag0)
magerr[i] = 0.0
print truemag
print newmag
print "***************************************************************************"
print "#id x_ori y_ori x y ap_ori ap_bgsub fit_mag err_art err_fit"
for i in range(len(fitmag)):
print "SN", i, str(centx[i] + x1), str(centy[i] + y1), str(
centx[i]), str(centy[i]), " ", str(apori3[i]), " ", str(
apmag3[i]), " ", str(newmag[i]), " ", str(arterr), " ", str(
magerr[i])
print "**************************************************************************"
return apori1, apori2, apori3, apmag1, apmag2, apmag3, fitmag, truemag, magerr, centx, centy, newmag
N += 1
meanmag = []
for i in range(0,len(magfiles)):
meanmag.append(numpy.mean(magarray[i]))
itera += 1
print len(magarray[0]),'calibration stars left after',itera,'iterations'
# Write the coordinates if the calibration stars to file, display and check them
f = open('calibcoords-final','w')
for i in coordarray:
f.write('%s' % i)
f.close()
iraf.display('../SCIENCE/' + image0,1)
iraf.tvmark(1,'calibcoords-final',col=204, mark='circle', radii=12, number='yes')
# Errors from the calibration stars
norm_magarray = []
for i in range(0,len(magarray[0])):
norm_magarray.append(list(magarray[:,i]-numpy.mean(magarray[:,i])))
cerr = []
norm_magarray = numpy.transpose(norm_magarray)
for i in range(0,len(magfiles)):
cerr.append(numpy.std(norm_magarray[i,:]))
# Asteroid photometry
astercoords = numpy.loadtxt('astrcoords')
os.system('rm *.mag.2')
for i in range(0,len(magfiles)):
f = open('tmpcoords','w')
def fitsn(img,
imgpsf,
coordlist,
_recenter,
fwhm0,
original,
sn,
residual,
_show,
_interactive,
z11='',
z22='',
midpt='',
size=7,
apco0=0,
dmax=51000,
dmin=-500):
import lsc
lsc.util.delete("apori")
lsc.util.delete(img + ".sn.mag")
#################################
from pyraf import iraf
import string
iraf.imcoords(_doprint=0)
iraf.digiphot(_doprint=0)
iraf.daophot(_doprint=0)
from iraf import digiphot
from iraf import daophot
from iraf import ptools
a1 = int(fwhm0)
a2 = int(2. * fwhm0 + .5)
a3 = int(3. * fwhm0 + .5)
a4 = int(4. * fwhm0 + .5)
ap = str(a1) + "," + str(a2) + "," + str(a3)
########################################
if _recenter: answ = 'yes'
else: answ = 'no'
#########################################
hdr = lsc.util.readhdr(img + '.fits')
_gain = lsc.util.readkey3(hdr, 'gain')
_ron = lsc.util.readkey3(hdr, 'ron')
_exptime = lsc.util.readkey3(hdr, 'exptime')
_datamin = dmin
_datamax = dmax
iraf.noao.digiphot.daophot.photpars.zmag = 0
iraf.noao.digiphot.daophot.datapars.readnoi = _gain #1.4 #_ron
iraf.noao.digiphot.daophot.datapars.epadu = _ron # 13 #_gain
iraf.noao.digiphot.daophot.datapars.datamin = _datamin # -100 #_datamin
iraf.noao.digiphot.daophot.datapars.datamax = _datamax
iraf.noao.daophot.fitskypars.annulus = a3
iraf.noao.daophot.photpars.apertures = ap
iraf.noao.digiphot.daophot.datapars.exposure = 'exptime'
iraf.noao.digiphot.daophot.datapars.airmass = 'airmass'
iraf.noao.digiphot.daophot.datapars.filter = 'filter2'
iraf.noao.digiphot.daophot.daopars.psfrad = a4
# modify fitrad to 3 fwhm to see if works better
iraf.noao.digiphot.daophot.daopars.fitrad = fwhm0 #* 3
iraf.noao.digiphot.daophot.daopars.sannulus = int(a4)
iraf.noao.digiphot.daophot.daopars.recenter = answ
iraf.noao.digiphot.daophot.daopars.fitsky = 'yes'
# iraf.noao.digiphot.daophot.centerpars.cbox = 0
iraf.noao.digiphot.daophot.centerpars.cbox = 4
iraf.noao.digiphot.daophot.centerpars.calgori = 'gauss'
# fitskypars.salgorithm = "constant"
# fitskypars.skyvalue = 0
print '\n### recentering: ' + str(answ)
if _show:
iraf.noao.digiphot.daophot.phot(original,
coordlist,
"apori",
veri='no')
iraf.noao.digiphot.daophot.phot(sn,
coordlist,
img + ".sn.mag",
veri='no')
else:
iraf.noao.digiphot.daophot.phot(original,
coordlist,
"apori",
veri='no',
verb='no')
iraf.noao.digiphot.daophot.phot(sn,
coordlist,
img + ".sn.mag",
veri='no',
verb='no')
lsc.util.delete(img + ".sn.als")
print sn, imgpsf, img
iraf.allstar(sn,
img + ".sn.mag",
imgpsf,
img + ".sn.als",
"",
residual,
veri='no',
verb='no')
lsc.util.delete("snfit.fits")
iraf.imarith(sn + '.fits', "-", residual + '.fits', "snfit.fits")
lsc.util.delete("skyfit.fits")
iraf.imarith(original + '.fits', "-", "snfit.fits", "skyfit.fits")
iraf.txsort(img + ".sn.als", "ID")
tmptbl = iraf.txdump(img + ".sn.als",
"mag,merr,xcenter,ycenter",
expr='yes',
Stdout=1)
magerr, fitmag, centx, centy = [], [], [], []
for i in tmptbl:
try:
fitmag.append(float(string.split(i)[0])) #-2.5*log10(_exptime))
except:
fitmag.append(string.split(i)[0])
try:
magerr.append(float(string.split(i)[1]))
except:
magerr.append(string.split(i)[1])
centx.append(float(string.split(i)[2]))
centy.append(float(string.split(i)[3]))
tmptbl = iraf.txdump("apori", "mag", expr='yes', Stdout=1)
apori1, apori2, apori3 = [], [], []
for i in tmptbl:
try:
apori1.append(float(string.split(i)[0])) #-2.5*log10(_exptime))
except:
apori1.append(string.split(i)[0])
try:
apori2.append(float(string.split(i)[1])) #-2.5*log10(_exptime))
except:
apori2.append(string.split(i)[1])
try:
apori3.append(float(string.split(i)[2])) #-2.5*log10(_exptime))
except:
apori3.append(string.split(i)[2])
iraf.txsort(img + ".sn.mag", "YCENTER")
tmptbl = iraf.txdump(img + ".sn.mag", "mag,magerr", expr='yes', Stdout=1)
if _show:
print "********************************************************************"
print "ID <apmag on original> <apmag on bgsubt> fitmag truemag err_fit"
print " ", a1, " ", a2, " ", a3, " ", a1, " ", a2, " ", a3
apmag1, apmag2, apmag3, truemag = [], [], [], []
for i in range(len(tmptbl)):
try:
apmag1.append(float(string.split(
tmptbl[i])[0])) #-2.5*log10(_exptime))
except:
apmag1.append(9999)
try:
apmag2.append(float(string.split(
tmptbl[i])[1])) #-2.5*log10(_exptime))
except:
apmag2.append(9999)
try:
apmag3.append(float(string.split(
tmptbl[i])[2])) #-2.5*log10(_exptime))
except:
apmag3.append(9999)
try:
truemag.append(fitmag[i] + float(apco0))
except:
truemag.append('INDEF')
if _show:
print i, apori1[i], apori2[i], apori3[i], apmag1[i], apmag2[
i], apmag3[i], fitmag[i], truemag[i], magerr[i]
if _show:
print "********************************************************************"
if _show:
print midpt, z11, z22
_tmp1, _tmp2, goon = lsc.util.display_image(original + '.fits',
1,
z11,
z22,
False,
_xcen=.25,
_ycen=.25,
_xsize=.3,
_ysize=.3)
z01 = float(z11) - float(midpt)
z02 = float(z22) - float(midpt)
s1 = 1
s2 = -int(fwhm0)
lsc.util.delete("tmptbl")
ff = open('tmptbl', 'w')
ff.write(str(s1) + ' ' + str(s2) + " ORIGINAL")
ff.close()
iraf.tvmark(1,
"tmptbl",
autol='no',
mark="none",
inter='no',
label='yes',
txsize=2)
_tmp1, _tmp2, goon = lsc.util.display_image('snfit.fits',
1,
z01,
z02,
False,
_xcen=.25,
_ycen=.75,
_xsize=.3,
_ysize=.3,
_erase='no')
lsc.util.delete("tmptbl")
tmptbl0 = iraf.txdump(img + ".sn.als",
"xcen,ycen",
expr='yes',
Stdout=1)
ff = open('tmptbl', 'w')
for i in tmptbl0:
ff.write(i + '\n')
ff.close()
lra = int((2 * float(size) * float(fwhm0)) * 2)
iraf.tvmark(1,
"tmptbl",
autol='no',
mark="circle",
number='yes',
nyoffset=lra,
radi=a2,
txsize=2,
inter='no')
s1 = 1
s2 = -1 * int(fwhm0)
lsc.util.delete("tmptbl")
ff = open('tmptbl', 'w')
ff.write(str(s1) + ' ' + str(s2) + " FITTED")
ff.close()
iraf.tvmark(1,
"tmptbl",
autol='no',
mark="none",
inter='no',
label='yes',
txsize=2)
_tmp1, _tmp2, goon = lsc.util.display_image('skyfit.fits',
1,
z11,
z22,
False,
_xcen=.75,
_ycen=.25,
_xsize=.3,
_ysize=.3,
_erase='no')
s1 = 1
s2 = -1 * int(fwhm0)
lsc.util.delete("tmptbl")
ff = open('tmptbl', 'w')
ff.write(str(s1) + ' ' + str(s2) + " RESIDUAL")
ff.close()
iraf.tvmark(1,
"tmptbl",
autol='no',
mark="none",
inter='no',
label='yes',
txsize=2)
return apori1, apori2, apori3, apmag1, apmag2, apmag3, fitmag, truemag, magerr, centx, centy
def manu(dmag0, apori1, apori2, apori3, apmag1, apmag2, apmag3, fitmag,
truemag, magerr, centx, centy, z22, z11, midpt, size, fwhm0, img, x1,
y1, arterr):
from pyraf import iraf
import string, os, sys
from numpy import array
a1 = int(fwhm0 + .5)
a2 = int(2. * fwhm0 + .5)
a3 = int(3. * fwhm0 + .5)
a4 = int(4. * fwhm0 + .5)
a5 = int(5. * fwhm0 + .5)
ap = str(a1) + "," + str(a2) + "," + str(a3)
fdmag = 10**(-0.4 * float(dmag0))
iraf.delete(",_snfit.fit?,skyfit.fit?", ve='no')
iraf.imarith("snfit", "*", fdmag, "_snfit")
iraf.imarith("original", "-", "_snfit", "skyfit")
iraf.display("original",
1,
fill='yes',
xcen=.25,
ycen=.25,
xsize=.3,
ysize=.3,
zscal='no',
zrang='no',
z2=z22,
z1=z11)
z01 = z11 - midpt
z02 = z22 - midpt
s1 = 1
s2 = -int(fwhm0)
iraf.delete("tmptbl", ve='no')
ff = open('tmptbl', 'w')
ff.write(str(s1) + ' ' + str(s2) + " ORIGINAL")
ff.close()
iraf.tvmark(1,
"tmptbl",
autol='yes',
mark="none",
inter='no',
label='yes',
txsize=2)
iraf.display("_snfit",
1,
erase='no',
fill='yes',
xcen=.25,
ycen=.75,
xsize=.3,
ysize=.3,
zscal='no',
zrang='no',
z2=z02,
z1=z01)
iraf.delete("tmptbl", ve='no')
tmptbl = iraf.txdump(img + ".sn.als", "xcen,ycen", expr='yes', Stdout=1)
ff = open('tmptbl', 'w')
for i in tmptbl:
ff.write(i)
ff.close()
lra = int((2 * size * fwhm0) * 2)
iraf.tvmark(1,
"tmptbl",
autol='no',
mark="circle",
number='yes',
nyoffset=lra,
radi=a2,
txsize=2,
inter='no')
s1 = 1
s2 = -int(fwhm0)
iraf.delete("tmptbl", ve='no')
ff = open('tmptbl', 'w')
ff.write(str(s1) + ' ' + str(s2) + " FITTED")
ff.close()
iraf.tvmark(1,
"tmptbl",
autol='no',
mark="none",
inter='no',
label='yes',
txsize=2)
iraf.display("skyfit",
1,
erase='no',
fill='yes',
xcen=.75,
ycen=.25,
xsize=.3,
ysize=.3,
zscal='no',
zrang='no',
z2=z22,
z1=z11)
s1 = 1
s2 = -int(fwhm0)
iraf.delete("tmptbl", ve='no')
ff = open('tmptbl', 'w')
ff.write(str(s1) + ' ' + str(s2) + " RESIDUAL")
ff.close()
iraf.tvmark(1,
"tmptbl",
autol='no',
mark="none",
inter='no',
label='yes',
txsize=2)
# newmag=truemag
# for i in range(0,len(truemag)):
# try:
# newmag[i]=float(truemag[i])+float(dmag0)
# except:
# newmag[i]=float(dmag0)
newmag = list(array(truemag) + float(dmag0))
print "***************************************************************************"
print "#id x_ori y_ori x y ap_ori ap_bgsub fit_mag err_art err_fit"
for i in range(len(fitmag)):
print "SN", i, str(centx[i] + x1), str(centy[i] + y1), str(
centx[i]), str(centy[i]), " ", str(apori3[i]), " ", str(
apmag3[i]), " ", str(newmag[i]), " ", str(arterr), " ", str(
magerr[i])
print "**************************************************************************"
return apori1, apori2, apori3, apmag1, apmag2, apmag3, fitmag, truemag, magerr, centx, centy, newmag
def transformcoords(im1, im2):
checkxy = 1
infile = '/Users/rfinn/clusters/spitzer/Mastertables/' + prefix + 'mastertable24.dat'
input = open(infile, 'r')
i = 0
k = 0
era = [] #ediscs ra
edec = [] #ediscs dec
excorr = [] #ediscs x pixel position
eycorr = [] #ediscs y pixel position
for line in input:
if line.find('#') > -1: #skip lines with '#' in them
continue
if line.find('\\') > -1: #skip lines with '#' in them
continue
if line.find('|') > -1: #skip lines with '#' in them
continue
t = line.split() #break up columns & save ra and dec
era.append(float(t[1]))
edec.append(float(t[2]))
excorr.append(float(t[3]))
eycorr.append(float(t[4]))
input.close()
era = N.array(era, 'd')
edec = N.array(edec, 'd')
excorr = N.array(excorr, 'd')
eycorr = N.array(eycorr, 'd')
output = prefix + 'radec.dat'
out1 = open(output, 'w')
for i in range(len(era)):
s = "%14.10f %14.10f \n" % (era[i], edec[i])
out1.write(s)
out1.close()
output = prefix + '-ediscsxy.dat' #now contains xcorr, ycorr
out1 = open(output, 'w')
for i in range(len(era)):
s = "%14.10f %14.10f \n" % (excorr[i], eycorr[i])
out1.write(s)
out1.close()
#transform ra and dec to x and y coords on ediscs image using ediscs i band image
#write era and edec to a file
outfile = output
#outfile=prefix+'-ediscsxy.dat'#file containing x and y pixels values on ediscs iband image
#iraf.wcsctran(output,outfile,image=im2,inwcs='world',outwcs='physical',columns='1 2', verbose='no')
if checkxy > 0:
iraf.display(im2, 1, fill='yes')
iraf.tvmark(1, outfile, color=204, radii=15)
#iraf.tvmark(1,output,color=204,radii=15)#plot xcorr and ycorr instead of transformed coordinates
flag = raw_input("Enter 0 to terminate now or 1 to continue \n")
if flag < 0.1:
return
dbase = prefix + '-match-geomap'
outfile2 = prefix + '-GMOSxy.dat' #file containing x and y pixels values on gmos image
iraf.geoxytran(outfile,
output=outfile2,
database=dbase,
transform='gmos',
direction='backward')
if checkxy > 0:
iraf.display(im1, 2, fill='yes')
iraf.tvmark(2, outfile2, color=204, radii=15)
im3 = 'g' + im2
iraf.display(im3, 3, fill='yes')
iraf.tvmark(3, outfile2, color=204, radii=15)
flag = raw_input("Enter anything to continue \n")
def ecpsf(img, ofwhm, threshold, psfstars, distance, interactive, ds9, psffun='gauss', fixaperture=False,_catalog='',_datamax=''):
try:
import agnkey
hdr = agnkey.util.readhdr(img + '.fits')
instrument = agnkey.util.readkey3(hdr, 'instrume')
print 'INSTRUMENT:', instrument
if 'PIXSCALE' in hdr:
pixelscale = agnkey.util.readkey3(hdr, 'PIXSCALE')
elif 'CCDSCALE' in hdr:
if 'CCDXBIN' in hdr:
pixelscale = agnkey.util.readkey3(hdr, 'CCDSCALE') * agnkey.util.readkey3(hdr, 'CCDXBIN')
elif 'CCDSUM' in hdr:
pixelscale = agnkey.util.readkey3(hdr, 'CCDSCALE') * int(
string.split(agnkey.util.readkey3(hdr, 'CCDSUM'))[0])
if 'kb' in instrument:
scale = pixelscale
if not _datamax:
_datamax = 45000
elif 'fl' in instrument:
scale = pixelscale
if not _datamax:
_datamax = 60000
elif 'fs' in instrument:
scale = pixelscale
if not _datamax:
_datamax = 65000
try:
#if 1==1:
if 'WCSERR' in hdr:
_wcserr = hdr['WCSERR']
elif 'WCS_ERR' in hdr:
_wcserr = hdr['WCS_ERR']
print _wcserr
if float(_wcserr) == 0:
if 'kb' in instrument:
seeing = float(agnkey.util.readkey3(hdr, 'L1FWHM')) * .75
elif 'fl' in instrument:
seeing = float(agnkey.util.readkey3(hdr, 'L1FWHM')) * .75
elif 'fs' in instrument:
if 'L1FWHM' in hdr:
seeing = float(agnkey.util.readkey3(hdr, 'L1FWHM')) * .75
elif 'L1SEEING' in hdr:
seeing = float(agnkey.util.readkey3(hdr, 'L1SEEING')) * scale
else:
seeing = 3
else:
seeing = 3
else:
seeing = float(agnkey.util.readkey3(hdr, 'PSF_FWHM'))
sys.exit('astrometry not good')
except ValueError:
# except:
sys.exit('astrometry not good')
fwhm = seeing / scale
print 'FWHM[header] ', fwhm, ' in pixel'
if ofwhm: fwhm = float(ofwhm)
print ' FWHM[input] ', fwhm, ' in pixel'
xdim, ydim = iraf.hselect(img+'.fits[0]', 'i_naxis1,i_naxis2', 'yes', Stdout=1)[0].split()
print img, fwhm, threshold, scale
#################################################################################
################### write file to compute psf _psf.coo ############
#################################################################################
if interactive:
iraf.set(stdimage='imt1024')
iraf.display(img+'.fits[0]', 1, fill=True)
iraf.delete('tmp.lo?', verify=False)
print '_' * 80
print '>>> Mark reference stars with "a". Then "q"'
print '-' * 80
iraf.imexamine(img+'[0]', 1, wcs='logical', logfile='tmp.log', keeplog=True)
xyrefer = iraf.fields('tmp.log', '1,2,6,15', Stdout=1)
xns, yns, _fws = [], [], []
############# write file for PSF #########################
ff = open('_psf.coo', 'w')
for i in range(len(xyrefer)):
xns.append(float(xyrefer[i].split()[0]))
yns.append(float(xyrefer[i].split()[1]))
_fws.append(float(xyrefer[i].split()[3]))
ff.write('%10.3f %10.3f %7.2f \n' % (xns[i], yns[i], float(_fws[i])))
ff.close()
fwhm = np.median(_fws)
else:
############ run sextractor #####################################
xs, ys, ran, decn, magbest, classstar, fluxrad, bkg = runsex(img, fwhm, threshold, scale)
_ra1,_dec1,xx11,yy11,_mag,_dist = agnkey.agnastrodef.starsfields(img+'.fits',20,19)
if len(_ra1):
dist,pos0,pos1 = agnkey.agnastrodef.crossmatchxy(xs,ys,xx11,yy11,10)
if len(pos0):
xs = xs[pos0]
ys = ys[pos0]
ran = ran[pos0]
decn = decn[pos0]
magbest = magbest[pos0]
classstar = classstar[pos0]
fluxrad = fluxrad[pos0]
bkg = bkg[pos0]
ff = open('tmp.cursor', 'w')
for i in range(len(xs)):
x1, x2 = int(xs[i] - fwhm * 3), int(xs[i] + fwhm * 3)
y1, y2 = int(ys[i] - fwhm * 3), int(ys[i] + fwhm * 3)
sect = '[' + str(x1) + ':' + str(x2) + ',' + str(y1) + ':' + str(y2) + ']'
try:
fmax = iraf.imstat(img+'.fits[0]' + sect, fields='max', Stdout=1)[1]
########## cut saturated object ########################
if float(fmax) < _datamax: # not saturated
ff.write('%10.3f %10.3f 1 m \n' % (xs[i], ys[i]))
except:
print sect
# print 'problem here'
# pass
ff.close()
iraf.delete('tmp.lo?,tmp.sta?,tmp.gk?', verify=False)
iraf.psfmeasure(img+'[0]', imagecur='tmp.cursor', logfile='tmp.log', radius=int(fwhm), iter=3,
display=False, StdoutG='tmp.gki')
ff = open('tmp.log')
righe = ff.readlines()
xn = [float(righe[3].split()[1])]
yn = [float(righe[3].split()[2])]
_fw = [float(righe[3].split()[4])]
for r in righe[4:-2]:
if len(r) > 0:
xn.append(float(r.split()[0]))
yn.append(float(r.split()[1]))
_fw.append(float(r.split()[3]))
print 'FWHM: ', righe[-1].split()[-1]
print 80 * "#"
######
############## eliminate double object identification ###########################
xns, yns, _fws = [xn[0]], [yn[0]], [_fw[0]]
for i in range(1, len(xn)):
if abs(xn[i] - xn[i - 1]) > .2 and abs(yn[i] - yn[i - 1]) > .2:
xns.append(xn[i])
yns.append(yn[i])
_fws.append(_fw[i])
######### write clean file for PSF #########################
fw = []
ff = open('_psf.coo', 'w')
for i in range(len(xns)):
ff.write('%10.3f %10.3f %7.2f \n' % (xns[i], yns[i], float(_fws[i])))
fw.append(_fws[i])
ff.close() ## End automatic selection
######################################################################################
################### write file of object to store in fits table #############
######################################################################################
if interactive:
xs, ys, ran, decn, magbest, classstar, fluxrad, bkg = runsex(img, fwhm, threshold, scale)
ff = open('_psf2.coo', 'w')
for i in range(len(xs)):
ff.write('%10s %10s %10s \n' % (xs[i], ys[i], fluxrad[i]))
ff.close()
elif _catalog:
print '\n#### use catalog '
ddd=iraf.wcsctran(input=_catalog,output='STDOUT',Stdout=1,image=img,inwcs='world',outwcs='logical',
units='degrees degrees',columns='1 2',formats='%10.1f %10.1f',verbose='no')
ddd=[i for i in ddd if i[0]!='#']
ddd=[' '.join(i.split()[0:3]) for i in ddd]
ff = open('_psf2.coo', 'w')
for i in ddd:
a,b,c = string.split(i)
ff.write('%10s %10s %10s \n' % (a, b, c))
ff.close()
print 'use catalog'
else:
os.system('cp _psf.coo _psf2.coo')
# print '\n### use sextractor'
# xs, ys, ran, decn, magbest, classstar, fluxrad, bkg = runsex(img, fwhm, threshold, scale)
# ff = open('_psf2.coo', 'w')
# for i in range(len(xs)):
# ff.write('%10s %10s %10s \n' % (xs[i], ys[i], fluxrad[i]))
# ff.close()
###################################################################################
print 80 * "#"
photmag, pst, fitmag = psffit(img, fwhm, psfstars, hdr, interactive, _datamax, psffun, fixaperture)
photmag2, fitmag2 = psffit2(img, fwhm, psfstars, hdr, _datamax, psffun, fixaperture)
radec = iraf.wcsctran(input='STDIN', output='STDOUT', Stdin=photmag, \
Stdout=1, image=img+'.fits[0]', inwcs='logical', outwcs='world', columns="1 2", \
format='%13.3H %12.2h', min_sig=9, mode='h')[3:]
radec2 = iraf.wcsctran(input='STDIN', output='STDOUT', Stdin=photmag2, \
Stdout=1, image=img+'.fits[0]', inwcs='logical', outwcs='world', columns="1 2", \
format='%13.3H %12.2h', min_sig=9, mode='h')[3:]
if ds9 == 0 and interactive:
iraf.set(stdimage='imt1024')
iraf.display(img, 1, fill=True, Stdout=1)
iraf.tvmark(1, coords='STDIN', mark='circle', radii=15, label=False, Stdin=photmag)
iraf.tvmark(1, coords='STDIN', mark='rectangle', length=35, label=False, Stdin=pst)
iraf.tvmark(1, coords='STDIN', mark='cross', length=35, label=False, Stdin=fitmag2, color=204)
idpsf = []
for i in range(len(pst)):
idpsf.append(pst[i].split()[2])
dmag = []
for i in range(len(radec)):
ra, dec, idph, magp2, magp3, magp4, merrp2, merrp3, merrp4 = radec[i].split()
dmag.append(9.99)
for j in range(len(fitmag)):
raf, decf, idf, magf, magerrf = fitmag[j].split()
if idph == idf and idph in idpsf and \
magp3 != 'INDEF' and magf != 'INDEF':
dmag[i] = float(magp3) - float(magf)
break
_dmag = np.compress(np.array(dmag) < 9.99, np.array(dmag))
print '>>> Aperture correction (phot) %6.3f +/- %5.3f %3d ' % \
(np.mean(_dmag), np.std(_dmag), len(_dmag))
if len(_dmag) > 3:
_dmag = np.compress(abs(_dmag - np.median(_dmag)) < 2 * np.std(_dmag), _dmag)
print '>>> 2 sigma rejection) %6.3f +/- %5.3f %3d [default]' \
% (np.mean(_dmag), np.std(_dmag), len(_dmag))
print '>>> fwhm %s ' % (str(fwhm))
for i in range(len(dmag)):
if dmag[i] == 9.99:
dmag[i] = ''
else:
dmag[i] = '%6.3f' % (dmag[i])
exptime = agnkey.util.readkey3(hdr, 'exptime')
object = agnkey.util.readkey3(hdr, 'object').replace(' ', '')
filtro = agnkey.util.readkey3(hdr, 'filter')
#######################################
rap, decp, magp2, magp3, magp4, smagf = [], [], [], [], [], []
merrp2, merrp3, merrp4, smagerrf = [], [], [], []
rap0, decp0 = [], []
for i in range(len(radec2)):
aa = radec2[i].split()
rap.append(aa[0])
decp.append(aa[1])
rap0.append(agnkey.agnabsphotdef.deg2HMS(ra=aa[0]))
decp0.append(agnkey.agnabsphotdef.deg2HMS(dec=aa[1]))
idp = aa[2]
magp2.append(aa[3])
magp3.append(aa[4])
magp4.append(aa[5])
merrp2.append(aa[6])
merrp3.append(aa[7])
merrp4.append(aa[8])
_smagf, _smagerrf = 9999, 9999
for j in range(len(fitmag2)):
raf, decf, idf, magf, magerrf = fitmag2[j].split()
if idf == idp:
_smagf = magf
_smagerrf = magerrf
break
smagf.append(_smagf)
smagerrf.append(_smagerrf)
new_cols = pyfits.ColDefs([
pyfits.Column(name='ra', format='20A', array=np.array(rap)),
pyfits.Column(name='dec', format='20A', array=np.array(decp)),
pyfits.Column(name='ra0', format='E', array=np.array(rap0)),
pyfits.Column(name='dec0', format='E', array=np.array(decp0)),
pyfits.Column(name='magp2', format='E', array=np.array(np.where((np.array(magp2) != 'INDEF'),
np.array(magp2), 9999), float)),
pyfits.Column(name='magp3', format='E', array=np.array(np.where((np.array(magp3) != 'INDEF'),
np.array(magp3), 9999), float)),
pyfits.Column(name='magp4', format='E', array=np.array(np.where((np.array(magp4) != 'INDEF'),
np.array(magp4), 9999), float)),
pyfits.Column(name='merrp2', format='E', array=np.array(np.where((np.array(merrp2) != 'INDEF'),
np.array(merrp2), 9999), float)),
pyfits.Column(name='merrp3', format='E', array=np.array(np.where((np.array(merrp3) != 'INDEF'),
np.array(merrp3), 9999), float)),
pyfits.Column(name='merrp4', format='E', array=np.array(np.where((np.array(merrp4) != 'INDEF'),
np.array(merrp4), 9999), float)),
pyfits.Column(name='smagf', format='E', array=np.array(np.where((np.array(smagf) != 'INDEF'),
np.array(smagf), 9999), float)),
pyfits.Column(name='smagerrf', format='E', array=np.array(np.where((np.array(smagerrf) != 'INDEF'),
np.array(smagerrf), 9999), float)),
])
tbhdu = pyfits.BinTableHDU.from_columns(new_cols)
hdu = pyfits.PrimaryHDU(header=hdr)
thdulist = pyfits.HDUList([hdu, tbhdu])
agnkey.util.delete(img + '.sn2.fits')
thdulist.writeto(img + '.sn2.fits')
agnkey.util.updateheader(img + '.sn2.fits', 0, {'APCO': [np.mean(_dmag), 'Aperture correction']})
agnkey.util.updateheader(img + '.sn2.fits', 0, {'APCOERR': [np.std(_dmag), 'Aperture correction error']})
agnkey.util.updateheader(img + '.sn2.fits', 0,
{'XDIM': [agnkey.util.readkey3(hdr, 'naxis1'), 'x number of pixels']})
agnkey.util.updateheader(img + '.sn2.fits', 0,
{'YDIM': [agnkey.util.readkey3(hdr, 'naxis2'), 'y number of pixels']})
agnkey.util.updateheader(img + '.sn2.fits', 0,
{'PSF_FWHM': [fwhm * scale, 'FWHM (arcsec) - computed with daophot']})
os.chmod(img + '.sn2.fits', 0664)
os.chmod(img + '.psf.fits', 0664)
result = 1
except IOError as e:
print e
result = 0
fwhm = 0.0
traceback.print_exc()
return result, fwhm * scale
def marksn2(img, fitstab, frame=1, fitstab2='', verbose=False):
from pyraf import iraf
from numpy import array #,log10
import lsc
iraf.noao(_doprint=0)
iraf.digiphot(_doprint=0)
iraf.daophot(_doprint=0)
iraf.images(_doprint=0)
iraf.imcoords(_doprint=0)
iraf.proto(_doprint=0)
iraf.set(stdimage='imt1024')
hdr = lsc.util.readhdr(fitstab)
_filter = lsc.util.readkey3(hdr, 'filter')
column = lsc.lscabsphotdef.makecatalogue([fitstab])[_filter][fitstab]
rasex = array(column['ra0'], float)
decsex = array(column['dec0'], float)
if fitstab2:
hdr = lsc.util.readhdr(fitstab2)
_filter = lsc.util.readkey3(hdr, 'filter')
_exptime = lsc.util.readkey3(hdr, 'exptime')
column = lsc.lscabsphotdef.makecatalogue([fitstab2])[_filter][fitstab2]
rasex2 = array(column['ra0'], float)
decsex2 = array(column['dec0'], float)
iraf.set(stdimage='imt1024')
iraf.display(img + '[0]', frame, fill=True, Stdout=1)
vector = []
for i in range(0, len(rasex)):
vector.append(str(rasex[i]) + ' ' + str(decsex[i]))
xy = iraf.wcsctran('STDIN',output="STDOUT",Stdin=vector,Stdout=1,image=img+'[0]',inwcs='world',units='degrees degrees',outwcs='logical',\
formats='%10.1f %10.1f',verbose='yes')[3:]
iraf.tvmark(frame,
'STDIN',
Stdin=list(xy),
mark="circle",
number='yes',
label='no',
radii=10,
nxoffse=5,
nyoffse=5,
color=207,
txsize=2)
if verbose:
# print 2.5*log10(_exptime)
for i in range(0, len(column['ra0'])):
print xy[i], column['ra0'][i], column['dec0'][i], column['magp3'][
i], column['magp4'][i], column['smagf'][i], column['magp2'][i]
if fitstab2:
vector2 = []
for i in range(0, len(rasex2)):
vector2.append(str(rasex2[i]) + ' ' + str(decsex2[i]))
xy1 = iraf.wcsctran('STDIN',output="STDOUT",Stdin=vector2,Stdout=1,image=img+'[0]',inwcs='world',units='degrees degrees',outwcs='logical',\
formats='%10.1f %10.1f',verbose='yes')[3:]
iraf.tvmark(frame,
'STDIN',
Stdin=list(xy1),
mark="cross",
number='yes',
label='no',
radii=10,
nxoffse=5,
nyoffse=5,
color=205,
txsize=2)
def fitsn(_recenter, img, imgpsf, fwhm0, apco0, z22, z11, midpt, size, nor,
_values, DM):
from pyraf import iraf
import string, os, sys
from numpy import log10
a1 = int(fwhm0 + .5)
a2 = int(2. * fwhm0 + .5)
a3 = int(3. * fwhm0 + .5)
a4 = int(4. * fwhm0 + .5)
a5 = int(5. * fwhm0 + .5)
ap = str(a1) + "," + str(a2) + "," + str(a3)
iraf.digiphot(_doprint=0)
iraf.daophot(_doprint=0)
from iraf import digiphot
from iraf import daophot
from iraf import ptools
zmag = 0
iraf.noao.digiphot.daophot.photpars.zmag = zmag
iraf.delete("apori", verify='no')
iraf.delete(img + ".sn.mag", verify='no')
iraf.noao.digiphot.daophot.phot("original",
img + ".sn.coo",
"apori",
veri='no')
iraf.noao.digiphot.daophot.phot("sn",
img + ".sn.coo",
img + ".sn.mag",
veri='no')
iraf.noao.digiphot.daophot.daopars.psfrad = a4
iraf.noao.digiphot.daophot.daopars.fitrad = fwhm0
iraf.noao.digiphot.daophot.daopars.fitsky = 'no'
iraf.noao.digiphot.daophot.daopars.sannulus = int(a4)
if _recenter:
answ = raw_input(">>> recentering for targets [yes/no] ? [yes] ")
if not answ: answ = 'yes'
else:
answ = 'yes'
iraf.noao.digiphot.daophot.daopars.recenter = answ
iraf.noao.digiphot.daophot.daopars.fitsky = 'yes'
iraf.delete(img + ".sn.als", verify='no')
iraf.allstar("sn",
img + ".sn.mag",
imgpsf,
img + ".sn.als",
"",
"residual",
veri='no',
verb='no')
iraf.delete("snfit.fits", verify='no')
iraf.imarith("sn", "-", "residual", "snfit")
iraf.delete("skyfit.fits", verify='no')
iraf.imarith("original", "-", "snfit", "skyfit")
iraf.txsort(img + ".sn.als", "ID")
tmptbl = iraf.txdump(img + ".sn.als",
"mag,merr,xcenter,ycenter",
expr='yes',
Stdout=1)
magerr, fitmag, centx, centy = [], [], [], []
for i in tmptbl:
try:
fitmag.append(float(string.split(i)[0])) #+2.5*log10(nor))
except:
fitmag.append('INDEF')
try:
magerr.append(float(string.split(i)[1]))
except:
magerr.append('INDEF')
centx.append(float(string.split(i)[2]))
centy.append(float(string.split(i)[3]))
tmptbl = iraf.txdump("apori", "mag", expr='yes', Stdout=1)
apori1, apori2, apori3 = [], [], []
for i in tmptbl:
try:
apori1.append(
float(string.split(i)[0]) - float(_values) -
float(DM)) #+2.5*log10(nor)
except:
apori1.append('INDEF')
try:
apori2.append(
float(string.split(i)[1]) - float(_values) -
float(DM)) #+2.5*log10(nor)
except:
apori2.append('INDEF')
try:
apori3.append(
float(string.split(i)[2]) - float(_values) -
float(DM)) #+2.5*log10(nor)
except:
apori3.append('INDEF')
iraf.txsort(img + ".sn.mag", "YCENTER")
tmptbl = iraf.txdump(img + ".sn.mag", "mag,magerr", expr='yes', Stdout=1)
print "********************************************************************"
print "ID <apmag on original> <apmag on bgsubt> fitmag truemag err_fit"
print " ", a1, " ", a2, " ", a3, " ", a1, " ", a2, " ", a3
apmag1, apmag2, apmag3, truemag = [], [], [], []
for i in range(len(tmptbl)):
try:
apmag1.append(
float(string.split(tmptbl[i])[0]) - float(_values) -
float(DM)) #+2.5*log10(nor)
except:
apmag1.append('INDEF')
try:
apmag2.append(
float(string.split(tmptbl[i])[1]) - float(_values) -
float(DM)) #+2.5*log10(nor)
except:
apmag2.append('INDEF')
try:
apmag3.append(
float(string.split(tmptbl[i])[2]) - float(_values) -
float(DM)) #+2.5*log10(no)
except:
apmag3.append('INDEF')
try:
truemag.append(
float(fitmag[i]) + float(apco0) + 2.5 * log10(nor) -
float(_values) - float(DM))
except:
truemag.append('INDEF')
print i, apori1[i], apori2[i], apori3[i], apmag1[i], apmag2[i], apmag3[
i], fitmag[i], truemag[i], magerr[i]
print "********************************************************************"
iraf.display("original",
1,
fill='yes',
xcen=.25,
ycen=.25,
xsize=.3,
ysize=.3,
zscal='no',
zrang='no',
z2=z22,
z1=z11)
z01 = z11 - midpt
z02 = z22 - midpt
s1 = 1
s2 = -int(fwhm0)
iraf.delete("tmptbl", ve='no')
ff = open('tmptbl', 'w')
ff.write(str(s1) + ' ' + str(s2) + " ORIGINAL")
ff.close()
iraf.tvmark(1,
"tmptbl",
autol='no',
mark="none",
inter='no',
label='yes',
txsize=2)
iraf.display("snfit",
1,
erase='no',
fill='yes',
xcen=.25,
ycen=.75,
xsize=.3,
ysize=.3,
zscal='no',
zrang='no',
z2=z02,
z1=z01)
iraf.delete("tmptbl", ve='no')
tmptbl0 = iraf.txdump(img + ".sn.als", "xcen,ycen", expr='yes', Stdout=1)
ff = open('tmptbl', 'w')
for i in tmptbl0:
ff.write(i + '\n')
ff.close()
lra = int((2 * float(size) * float(fwhm0)) * 2)
iraf.tvmark(1,
"tmptbl",
autol='no',
mark="circle",
number='yes',
nyoffset=lra,
radi=a2,
txsize=2,
inter='no')
s1 = 1
s2 = -1 * int(fwhm0)
iraf.delete("tmptbl", ve='no')
ff = open('tmptbl', 'w')
ff.write(str(s1) + ' ' + str(s2) + " FITTED")
ff.close()
iraf.tvmark(1,
"tmptbl",
autol='no',
mark="none",
inter='no',
label='yes',
txsize=2)
iraf.display("skyfit",
1,
erase='no',
fill='yes',
xcen=.75,
ycen=.25,
xsize=.3,
ysize=.3,
zscal='no',
zrang='no',
z2=z22,
z1=z11)
s1 = 1
s2 = -1 * int(fwhm0)
iraf.delete("tmptbl", ve='no')
ff = open('tmptbl', 'w')
ff.write(str(s1) + ' ' + str(s2) + " RESIDUAL")
ff.close()
iraf.tvmark(1,
"tmptbl",
autol='no',
mark="none",
inter='no',
label='yes',
txsize=2)
print '###'
print '### magnitude scaled to target exposure time using: ' + str(
2.5 * log10(nor))
print '### fit magnitude corrected with aperture correction: ' + str(
float(apco0))
print '### magnitude scaled to target using DM: ' + str(DM)
print '###'
return apori1, apori2, apori3, apmag1, apmag2, apmag3, fitmag, truemag, magerr, centx, centy
xpa('catalog save sb "' + userPath + '/tmp.catsel"')
xpa('raise')
iraf.fields('tmp.catsel', '1,2', Stdout='tmp.tv')
answ = 'no'
while answ != 'yes':
print '>> Identify (minimum 2, preferably 3) reference stars (mark with "a") in your image'
iraf.imexamine(img, 1, logfile='tmp.coo', keeplog='yes')
iraf.tvmark(1,
'tmp.coo',
mark="circle",
number='yes',
radii=10,
nxoffse=10,
nyoffse=10,
color=214,
txsize=2)
xycoo = iraf.fields('tmp.coo', '1,2,13', Stdout=1)
print '>> Identify reference stars'
idcat = []
for i in range(len(xycoo)):
idcat.append(int(raw_input('Star ' + str(i + 1) + '= ? ')))
ff = open('tmp.catsel')
rr = ff.readlines()
ff.close()
for i in range(len(rr)):
if rr[i].split('\t')[0] == '_RAJ2000': istart = i
def register_module(img, _system, coordinatelist, interactive, logincl,
_filter):
from snoopy2 import src
import snoopy2
import string, os
# logincl=src.open_program()
from pyraf import iraf
iraf.astcat(_doprint=0)
iraf.imcoords(_doprint=0)
iraf.set(stdimage='imt1024')
iraf.tv.rimexam.backgrou = 'yes'
subdirectory = ['optical/', 'infrared/', 'sloan/']
iraf.delete(coordinatelist + ".tv", verify='no')
iraf.delete(coordinatelist + "_templ.coo", verify='no')
iraf.delete("_templ.*", verify='no')
try:
dir_system = subdirectory[_system]
iraf.fields('home$coordinate_std/' + dir_system + coordinatelist +
'.list',
'2,3,1',
Stdout=coordinatelist + '.tv')
iraf.fields('home$coordinate_std/' + dir_system + coordinatelist +
'.list',
'1',
Stdout='_templ.coo')
iraf.wcsctran(coordinatelist + '.tv',
'_templ.coo2',
'home$coordinate_std/' + dir_system + coordinatelist +
'_templ.fits',
inwcs='world',
units='degrees degrees',
outwcs='logical',
columns='1 2',
formats='%10.1f %10.1f')
a = iraf.fields('_templ.coo', '1', Stdout=1)
b = iraf.fields('_templ.coo2', '1,2', Stdout=1)[2:]
ff = open(coordinatelist + '_templ.coo', 'w')
for i in range(len(a)):
ff.write(b[i] + '\t' + a[i] + ' \n')
ff.close()
if _system == 0 or _system == 2:
standard = iraf.fields('home$coordinate_std/' + dir_system +
coordinatelist + '.list',
'1,4,5,6,7,8',
Stdout=1)
else:
standard = iraf.fields('home$coordinate_std/' + dir_system +
coordinatelist + '.list',
'1,4,5,6',
Stdout=1)
except Exception as e:
print e
print "WARNING: no coordinate " + coordinatelist + " file found in " + snoopy2.__path__[
0] + '/coordinate_std/' + dir_system + ' !!! '
src.close_program(logincl)
stars = []
for i in standard:
nome = string.split(i)
stars.append(nome[0])
# _filter='XXX'
src.delete("tmp." + img + ".coo")
iraf.wcsctran(coordinatelist + '.tv',
'tmp.' + img + '.coo',
img,
inwcs='world',
units='degrees degrees',
outwcs='logical',
columns='1 2',
formats='%10.1f %10.1f')
if interactive:
print '######### Select FRAME TILE on your DS9 !!!!!'
_z1, _z2, goon = src.display_image(
snoopy2.__path__[0] + '/coordinate_std/' + dir_system +
coordinatelist + '_templ.fits', 2, '', '', False)
if not goon: src.close_program(logincl)
iraf.tvmark(2,
coordinatelist + '_templ.coo',
mark="circle",
number='no',
label='yes',
radii=20,
nxoffse=15,
nyoffse=15,
color=214,
txsize=4)
_z1, _z2, goon = src.display_image(img, 1, '', '', False)
if not goon: src.close_program(logincl)
iraf.tvmark(1,
'tmp.' + img + '.coo',
mark="circle",
number='no',
label='yes',
radii=20,
nxoffse=15,
nyoffse=15,
color=205,
txsize=2)
answ = raw_input(
'is the astrometry of the field good ? \n [y/n] ? [y] ')
if not answ: answ = 'y'
if answ == 'n':
try:
src.delete('tmp.' + img + '.coo')
src.delete('tmp.ccdb')
iraf.ccmap('_first.ccmap',
'tmp.ccdb',
images=img,
fitgeome='rscale',
lngunit='degrees',
update='yes',
interact=False)
iraf.wcsctran('_first_image.tv',
'tmp.' + img + '.coo',
img,
inwcs='world',
units='degrees degrees',
outwcs='logical',
columns='1 2',
formats='%10.1f %10.1f')
iraf.tvmark(1,
'tmp.' + img + '.coo',
mark="circle",
number='no',
label='yes',
radii=20,
nxoffse=15,
nyoffse=15,
color=206,
txsize=4)
answ = raw_input(
'AND NOW, is the astrometry of the field good [y/n] ? [y] '
)
if not answ: answ = 'y'
except:
pass
while answ == 'n':
_z1, _z2, goon = src.display_image(img, 1, '', '', False)
if not goon: src.close_program(logincl)
print '>> Identify (minimum 2, preferably 3) reference stars (mark with "a")'
iraf.delete('tmp.coo', verify='no')
iraf.imexamine(img, 1, logfile='tmp.coo', keeplog='yes')
iraf.tvmark(1,
'tmp.coo',
mark="circle",
number='yes',
label='no',
radii=15,
nxoffse=15,
nyoffse=15,
color=214,
txsize=4)
xycoo = iraf.fields('tmp.coo', '1,2,13', Stdout=1)
print '>> Identify reference stars'
idcat = []
for i in range(len(xycoo)):
idcat.append(raw_input('Star ' + str(i + 1) + '= ? '))
ff = open(coordinatelist + '.tv', 'r')
rr = ff.readlines()
ff.close()
gg = open('tmp.ccmap', 'w')
fw = []
for i in range(len(idcat)):
idpos = stars.index(idcat[i])
_rr = string.split(rr[idpos])
_x, _y, _fw = string.split(xycoo[i])
gg.write(_x + ' ' + _y + ' ' + _rr[0] + ' ' + _rr[1] + ' \n')
fw.append(float(_fw))
gg.close()
iraf.delete('_first_image.tv', verify='no')
iraf.delete('_first.ccmap', verify='no')
os.system('cp ' + coordinatelist + '.tv _first_image.tv')
os.system('cp tmp.ccmap _first.ccmap')
iraf.ccmap('tmp.ccmap',
'tmp.ccdb',
images=img,
fitgeome='rscale',
lngunit='degrees',
update='yes',
interact=False)
_z1, _z2, goon = src.display_image(img, 1, '', '', False)
if not goon: src.close_program(logincl)
iraf.delete('tmp.' + img + '.coo', verify='no')
iraf.wcsctran(coordinatelist + '.tv',
'tmp.' + img + '.coo',
img,
inwcs='world',
units='degrees degrees',
outwcs='logical',
columns='1 2',
formats='%10.1f %10.1f')
iraf.tvmark(1,
'tmp.' + img + '.coo',
mark="circle",
number='yes',
label='no',
radii=20,
nxoffse=15,
nyoffse=15,
color=205,
txsize=4)
iraf.delete("tmp.ccmap", verify='no')
iraf.delete("tmp.coo", verify='no')
iraf.delete("tmp.ccdb", verify='no')
answ = raw_input(
'is the astrometry of the field good [y/n] ? [y]')
if not answ: answ = 'y'
iraf.delete("tmp.star", verify='no')
iraf.ccfind('home$coordinate_std/' + dir_system + coordinatelist + '.list',
'tmp.star',
img,
lngcolu=2,
latcolu=3,
lngunit='degrees',
usewcs='yes')
iraf.ccmap('tmp.star',
'tmp.ccdb',
images=img,
fitgeome='rscale',
xcolum=9,
ycolum=10,
lngcolum=2,
latcolumn=3,
lngunit='degrees',
update='yes',
interact=False)
iraf.delete('tmp.' + img + '.coo', verify='no')
iraf.wcsctran(coordinatelist + '.tv',
'tmp.' + img + '.coo',
img,
inwcs='world',
units='degrees degrees',
outwcs='logical',
columns='1 2',
formats='%10.1f %10.1f')
iraf.delete("tmp.ccdb", verify='no')
iraf.delete("tmp.star", verify='no')
iraf.delete("tmp.coo", verify='no')
return stars, 'tmp.' + img + '.coo'
def completeness():#measure completeness on final image
#combinepath=bcdpath+'pbcd/Combine/output_apex_step2'
combinepath=bcdpath+'pbcd/Combine/apex_1frame_step2'
os.chdir(combinepath)
file='mosaic_extract_final.tbl'
input=open(file,'r')
xgal=[]#positions of previous detections with snr > 3
ygal=[]
fap4gal=[]
for line in input:
if line.find('#') > -1: #skip lines with '#' in them
continue
if line.find('\\') > -1: #skip lines with '#' in them
continue
if line.find('|') > -1: #skip lines with '#' in them
continue
t=line.split()
xgal.append(float(t[8]))
ygal.append(float(t[10]))
fap4gal.append(float(t[28]))
input.close()
xgal=N.array(xgal,'f')
ygal=N.array(ygal,'f')
fsimall=[]
matchflagsimall=[]
f2all=[]
f3all=[]
f4all=[]
deblendsimall=[]
snrsimall=[]
myminmag=24.75
mymaxmag=27.4
myfmin=10.**((25.-mymaxmag)/2.5)#ZP=25
myfmax=10.**((25.-myminmag)/2.5)#ZP=25
#below is loop to create image w/artificial sources, extract, and compare
for k in range(100):
createflag=1.#create image w/artificial sources?
detectflag=1.#detect sources in image?
if createflag > 0.1:
xnoise=[]
ynoise=[]
infile=open('noisecoords.dat','r')
for line in infile:
t=line.split()
xnoise.append(float(t[0]))
ynoise.append(float(t[1]))
infile.close()
nstar=10
xsim=N.zeros(nstar,'d')
ysim=N.zeros(nstar,'d')
msim=N.zeros(nstar,'d')
outfile=open('stars.coords.dat','w')
for i in range(nstar):
#j=int(round(1.*len(xnoise)*random.uniform(0,1)))
#xsim[i]=xnoise[j]
#ysim[i]=ynoise[j]
j=0
for j in range(10000):
xt=int(round(random.uniform(5.,125.)))
yt=int(round(random.uniform(5.,140.)))
d=pylab.sqrt((xt-xgal)**2+(yt-ygal)**2)#make sure sim galaxies are not near real galaxies
if min(d) > -1.:
d2=pylab.sqrt((xt-xsim)**2+(yt-ysim)**2)#make sure sim points are not on top of each other
if min(d2) > 5.:
print i,'got a good point after ',j,' tries',xt,yt
break
j=j+1
xsim[i]=xt
ysim[i]=yt
k=random.uniform(myfmin,myfmax)
msim[i]=25.-2.5*pylab.log10(k)
#print k,msim[i]
s='%8.2f %8.2f %8.2f \n' % (xsim[i],ysim[i],msim[i])
outfile.write(s)
outfile.close()
#os.system('rm stars.coords.dat')
#iraf.starlist('stars.coords.dat',nstars=100,spatial='uniform',xmax=130,ymax=145,luminosity='uniform',minmag=22.,maxmag=30.0,mzero=22.0,sseed='INDEF',power=0.6,alpha=0.74,lseed='INDEF')
os.system('rm mosaic-completeness.fits')
#iraf.mkobjects(input='mosaic_minus_median_extract.fits',output='mosaic-completeness.fits',objects='stars.coords.dat',radius=1.13,magzero=25.,background=0.,gain=5.,rdnoise=0.,poisson='no')#don't convolve w/PRF
#os.system('cp ../cal/MIPS24_PRF_HD_center.fits .')#convolve star w/SSC PRF
os.system('cp ../cal/mips24_prf_mosaic_2.45_4x.fits .')#convolve star w/SSC PRF
iraf.mkobjects(input='mosaic_minus_median_extract.fits',output='mosaic-completeness.fits',objects='stars.coords.dat',radius=14,star='mips24_prf_mosaic_2.45_4x.fits',magzero=25.,background=0.,gain=5.,rdnoise=0.,poisson='no')
#os.system('cp ../cal/PRF_estimate.fits .')#convolve gaussian w/measured PRF
#iraf.mkobjects(input='mosaic_minus_median_extract.fits',output='mosaic-completeness.fits',objects='stars.coords.dat',radius=15,star='PRF_estimate.fits',magzero=25.,background=0.,gain=5.,rdnoise=0.,poisson='no')
os.system('ls *.fits')
os.system('pwd')
iraf.display('mosaic_minus_median_extract.fits',1,contrast=0.01)
iraf.display('mosaic-completeness.fits',2,contrast=0.01)
iraf.tvmark(1,'stars.coords.dat')
iraf.tvmark(2,'stars.coords.dat')
fsim=10.**((25.-msim)/2.5)#ZP=25
if createflag < .1:#read in positions and magnitudes of artdata sources
xsim=[]
ysim=[]
msim=[]
infile=open('stars.coords.dat','r')
for line in infile:
if line.find('#') > -1:
continue
t=line.split()
xsim.append(float(t[0]))
ysim.append(float(t[1]))
msim.append(float(t[2]))
infile.close()
xsim=N.array(xsim,'f')
ysim=N.array(ysim,'f')
msim=N.array(msim,'f')
fsim=10.**((25.-msim)/2.5)#ZP=25
if detectflag > 0.1:#now run detection on mosaic-completeness.fits
combinepath=bcdpath+'pbcd/Combine/'
os.chdir(combinepath)
print combinepath
#os.system('apex_1frame.pl -n apex_1frame_MIPS24_step2.nl -i output_apex_step2/mosaic-completeness.fits')
#combinepath=bcdpath+'pbcd/Combine/output_apex_step2'
os.system('apex_1frame.pl -n apex_1frame_step2all.nl -i apex_1frame_step2/mosaic-completeness.fits')
combinepath=bcdpath+'pbcd/Combine/apex_1frame_step2'
os.chdir(combinepath)
print combinepath
file='mosaic-completeness_extract_raw.tbl'
input=open(file,'r')
ngal=0
for line in input:
if line.find('Conversion') > -1:
t=line.split('=')
convfactor=float(t[1])#conversion from ADU to uJy
#aperr=aveaperr*convfactor #convert noise in ADU to uJy using conv factor from apex
print "Conversion Factor = ",convfactor
#print "aveaperr = ",aveaperr
#print "aperr = ",aperr
continue
if line.find('#') > -1: #skip lines with '#' in them
continue
if line.find('\\') > -1: #skip lines with '#' in them
continue
if line.find('|') > -1: #skip lines with '#' in them
continue
ngal=ngal+1
input.close()
id24 = N.zeros(ngal,'f')
imagex24 = N.zeros(ngal,'f')
imagey24 = N.zeros(ngal,'f')
ra24 = N.zeros(ngal,'f')
dec24 = N.zeros(ngal,'f')
f24 = N.zeros(ngal,'d')#flux
errf24 = N.zeros(ngal,'d')
fap1 = N.zeros(ngal,'d')#flux in aperture 1 (1,1.5,2,2.6,3,3.5,4,4.5,5.,5.5) pixels
fap2 = N.zeros(ngal,'d')#flux
fap3 = N.zeros(ngal,'d')#flux
fap4 = N.zeros(ngal,'d')#flux in ap 4 - this is one w/ap cor of 1.67 (Calzetti et al 2007)
fap5 = N.zeros(ngal,'d')#flux
fap6 = N.zeros(ngal,'d')#flux
fap7 = N.zeros(ngal,'d')#flux
fap8 = N.zeros(ngal,'d')#flux
fap9 = N.zeros(ngal,'d')#flux
fap10 = N.zeros(ngal,'d')#flux
snr24 = N.zeros(ngal,'d')#SNR calculated by mopex
deblend = N.zeros(ngal,'f')#SNR calculated by mopex
input=open(file,'r')
i=0
output=open('xy24raw.dat','w')
for line in input:
if line.find('#') > -1: #skip lines with '#' in them
continue
if line.find('\\') > -1: #skip lines with '#' in them
continue
if line.find('|') > -1: #skip lines with '#' in them
continue
t=line.split()
#print "length of t = ",len(t)
#print (t[8]),(t[10]),(t[13]),(t[14]),(t[18]),(t[2]),(t[23]),(t[24]),(t[25]),(t[26]),(t[27]),(t[28]),(t[29]),(t[30]),(t[31]),(t[32])
(imagex24[i],imagey24[i],f24[i],errf24[i],snr24[i],deblend[i],fap1[i],fap2[i],fap3[i],fap4[i],fap5[i],fap6[i],fap7[i],fap8[i],fap9[i],fap10[i])=(float(t[8]),float(t[10]),float(t[13]),float(t[14]),float(t[18]),float(t[2]),float(t[25]),float(t[26]),float(t[27]),float(t[28]),float(t[29]),float(t[30]),float(t[31]),float(t[32]),float(t[33]),float(t[34]))
s='%6.2f %6.2f \n'%(imagex24[i],imagey24[i])
output.write(s)
i=i+1
input.close()#44 -> 43
output.close()
iraf.tvmark(1,'xy24raw.dat',color=204,radi=2)
iraf.tvmark(2,'xy24raw.dat',color=204,radi=2)
delta=1.#max number of pixels for a match
#get rid of objects that were detected in original image. Otherwise, matching will think any object near a sim galaxy is the sim galaxy. A faint galaxy placed on type of a pre-existing bright galaxy will be detected.
newgalflag=N.ones(len(imagex24),'i')
for i in range(len(imagex24)):
(imatch, matchflag,nmatch)=findnearest(imagex24[i],imagey24[i],xgal,ygal,delta)
if matchflag > 0.:
dflux=abs(fap4gal[imatch] - fap4[i])/fap4[i]
if dflux < .1:#position of real galaxy, flux difference less than 10% -> not a new galaxy
newgalflag[i] = 0
#keep only galaxies that are new
imagex24 = N.compress(newgalflag,imagex24)
imagey24 = N.compress(newgalflag,imagey24)
fap1 = N.compress(newgalflag,fap1)
fap2 = N.compress(newgalflag,fap2)
fap3 = N.compress(newgalflag,fap3)
fap4 = N.compress(newgalflag,fap4)
fap5 = N.compress(newgalflag,fap5)
fap6 = N.compress(newgalflag,fap6)
fap7 = N.compress(newgalflag,fap7)
fap8 = N.compress(newgalflag,fap8)
fap9 = N.compress(newgalflag,fap9)
fap10 =N.compress(newgalflag,fap10)
snr24 =N.compress(newgalflag,snr24)
deblend = N.compress(newgalflag,deblend)
delta=2.#max number of pixels for a match
matchflagsim=N.zeros(len(xsim),'i')
fmeas1=N.zeros(len(xsim),'f')
fmeas2=N.zeros(len(xsim),'f')
fmeas3=N.zeros(len(xsim),'f')
fmeas4=N.zeros(len(xsim),'f')
fmeas5=N.zeros(len(xsim),'f')
fmeas6=N.zeros(len(xsim),'f')
fmeas7=N.zeros(len(xsim),'f')
fmeas8=N.zeros(len(xsim),'f')
fmeas9=N.zeros(len(xsim),'f')
fmeas10=N.zeros(len(xsim),'f')
fmeas24=N.zeros(len(xsim),'f')
deblendsim=N.zeros(len(xsim),'f')
snrsim=N.zeros(len(xsim),'f')
for i in range(len(xsim)):
(imatch, matchflag,nmatch)=findnearest(xsim[i],ysim[i],imagex24,imagey24,delta)
matchflagsim[i]=matchflag
if matchflag > .1:
fmeas1[i]=fap1[int(imatch)]
fmeas2[i]=fap2[int(imatch)]
fmeas3[i]=fap3[int(imatch)]
fmeas4[i]=fap4[int(imatch)]
fmeas5[i]=fap5[int(imatch)]
fmeas6[i]=fap6[int(imatch)]
fmeas7[i]=fap7[int(imatch)]
fmeas8[i]=fap8[int(imatch)]
fmeas9[i]=fap9[int(imatch)]
fmeas10[i]=fap10[int(imatch)]
fmeas24[i]=f24[int(imatch)]
deblendsim[i]=deblend[int(imatch)]
snrsim[i]=snr24[int(imatch)]
fsimall=fsimall+list(fsim)
matchflagsimall=matchflagsimall+list(matchflagsim)
f2all=f2all+list(fmeas2)
f3all=f3all+list(fmeas3)
f4all=f4all+list(fmeas4)
deblendsimall=deblendsimall+list(deblendsim)
snrsimall=snrsimall+list(snrsim)
fsim=N.array(fsimall,'f')
matchflagsim=N.array(matchflagsimall,'f')
fmeas2=N.array(f2all,'f')
fmeas3=N.array(f3all,'f')
fmeas4=N.array(f4all,'f')
deblendsim=N.array(deblendsimall,'f')
snrsim=N.array(snrsimall,'f')
#make plots using all realizations
pylab.cla()
pylab.clf()
fsim=fsim*convfactor
fs=pylab.compress((matchflagsim > 0.1) & (deblendsim < 1.5),fsim)
#f1=pylab.compress((matchflagsim > 0.1) & (deblendsim < 1.5),fmeas1)
f2=pylab.compress((matchflagsim > 0.1) & (deblendsim < 1.5),fmeas2)
f3=pylab.compress((matchflagsim > 0.1) & (deblendsim < 1.5),fmeas3)
f4=pylab.compress((matchflagsim > 0.1) & (deblendsim < 1.5),fmeas4)
#f242=pylab.compress((matchflagsim > 0.1) & (deblendsim < 1.5),fmeas24)
r4=pylab.median(fs/f4)
r3=pylab.median(fs/f3)
r2=pylab.median(fs/f2)
print "average ratios ap 4",pylab.average(fs/f4),r4,pylab.std((fs/f4)/pylab.average(fs/f2))
print "average ratios ap 3",pylab.average(fs/f3),pylab.median(fs/f3),pylab.std((fs/f3)/pylab.average(fs/f3))
print "average ratios ap 2",pylab.average(fs/f2),pylab.median(fs/f2),pylab.std((fs/f2)/pylab.average(fs/f2))
s='f4 w/apcor = %3.2f(%4.2f)'%(r4,pylab.average(abs(fs-f4*r4)/fs))
pylab.plot(fs,f4*r4,'b.',label=s)
pylab.plot(fs,f4,'bo',label='f4')
s='f3 w/apcor = %3.2f(%4.2f)'%(r3,pylab.average(abs(fs-f3*r3)/fs))
pylab.plot(fs,f3*r3,'g.',label=s)
pylab.plot(fs,f3,'go',label='f3')
s='f2 w/apcor = %3.2f(%4.2f)'%(r2,pylab.average(abs(fs-f2*r2)/fs))
pylab.plot(fs,f2*r2,'r.',label=s)
pylab.plot(fs,f2,'ro',label='f2')
#pylab.plot(fs,f1,'co',label='f1')
#pylab.plot(fs,f242,'k.',label='f24')
pylab.legend(loc='best')
x=N.arange(0.,max(fs),10.)
y=x
pylab.plot(x,y,'k-')
#y=2.*x
#pylab.plot(x,y,'k--')
#y=3.*x
#pylab.plot(x,y,'k--')
#y=4.*x
#pylab.plot(x,y,'k--')
#y=5.*x
#pylab.plot(x,y,'k--')
pylab.xlabel('F(24) Input')
pylab.ylabel('F(24) measured')
#pylab.axis([0.,50.,0.,50.])
s=str(prefix)+'fluxcomp.eps'
pylab.savefig(s)
pylab.cla()
pylab.clf()
nbins=20
fmin=10.#min(fsim)
fmax=max(fsim)
df=5.#(fmax-fmin)/(1.*nbins)
bins=N.arange(fmin,(fmax+df),df)
(xbin,ybin,ybinerr)=mystuff.completeness(bins,fsim,matchflagsim)
s=str(prefix)+'FracComplvsFlux.dat'
outdat=open(s,'w')
print "Completeness vs Input Flux"
for i in range(len(xbin)):
print i, xbin[i],ybin[i],ybinerr[i]
t='%8.2f %8.4f %8.4f\n'%(xbin[i],ybin[i],ybinerr[i])
outdat.write(t)
outdat.close()
#for i in range(len(fsim)):
#if snrsim[i] > 3.:
# print i, fsim[i],matchflagsim[i],deblendsim[i],abs(fsim[i]-fmeas4[i]*1.67)/fsim[i],snrsim[i]
#(xbin,ybin2,ybin2err)=mystuff.scipyhist2(bins,fmeas4)
#pylab.plot(xbin,ybin,'bo')
#pylab.plot(xbin,ybin2,'ro')
#s=str(prefix)+'NDetectvsFlux.eps'
#pylab.savefig(s)
pylab.cla()
pylab.clf()
pylab.plot(xbin,ybin,'ko')
pylab.errorbar(xbin,ybin,yerr=ybinerr,fmt=None,ecolor='k')
s=str(prefix)+'FracComplvsFlux.eps'
pylab.axhline(y=1.0,ls='-')
pylab.axhline(y=.8,ls='--')
pylab.axvline(x=80.0,ls=':',color='b')
pylab.xlabel('Input Flux (uJy)')
pylab.ylabel('Completeness')
pylab.axis([0.,max(xbin)+df,-.05,1.05])
pylab.savefig(s)
os.system('cp *.eps /Users/rfinn/clusters/spitzer/completeness/.')
os.system('cp *vsFlux.dat /Users/rfinn/clusters/spitzer/completeness/.')
def manusn(img,imgpsf,dmag0,apori1,apori2,apori3,apmag1,apmag2,apmag3,fitmag,truemag,magerr,centx,centy,z11,z22,midpt,size,fwhm0,x1,y1,arterr):
from pyraf import iraf
import lsc
import string,re,sys,os
from numpy import zeros
a2 = int(2.*fwhm0+.5)
fdmag = 10**(-0.4*float(dmag0))
lsc.util.delete(",_snfit.fit?,skyfit.fit?,_snfit.ar?")
if truemag[0]=='INDEF':
print 'ACTUNG'
magerr[0]=0.0
lsc.util.delete('test.fits')
os.system('echo '+str(iraf.field(img+'.sn.coo', field='1,2', Stdout=1)[0])+' '+dmag0+' > dddd')
iraf.addstar("snfit","dddd",imgpsf,"_snfit",nstar=1,veri='no',simple='yes',verb='yes')
lsc.util.delete('dddd')
else:
iraf.imarith("snfit.fits","*",fdmag,"_snfit.fits")
iraf.imarith("original.fits","-","_snfit.fits","skyfit.fits")
_tmp1,_tmp2,goon=lsc.util.display_image('original.fits',1, z11, z22, False, _xcen=.25, _ycen=.25, _xsize=.3, _ysize=.3)
print z11,z22,midpt
z01 = float(z11)-float(midpt)
z02 = float(z22)-float(midpt)
s1 = 1
s2 = -int(fwhm0)
lsc.util.delete("tmptbl")
ff=open('tmptbl','w')
ff.write(str(s1)+' '+str(s2)+" ORIGINAL")
ff.close()
iraf.tvmark(1,"tmptbl",autol='yes',mark="none",inter='no',label='yes',txsize=2)
_tmp1,_tmp2,goon=lsc.util.display_image('_snfit.fits',1, z01, z02, False, _xcen=.25, _ycen=.75, _xsize=.3, _ysize=.3, _erase='no')
lsc.util.delete("tmptbl")
tmptbl=iraf.txdump(img+".sn.als","xcen,ycen",expr='yes', Stdout=1)
ff=open('tmptbl','w')
for i in tmptbl:
ff.write(i)
ff.close()
lra = int((2*size*fwhm0)*2)
iraf.tvmark(1,"tmptbl",autol='no',mark="circle", number='yes',nyoffset=lra,radi=a2,txsize=2,inter='no')
s1 = 1
s2 = -int(fwhm0)
lsc.util.delete("tmptbl")
ff=open('tmptbl','w')
ff.write(str(s1)+' '+str(s2)+" FITTED")
ff.close()
iraf.tvmark(1,"tmptbl",autol='no',mark="none",inter='no',label='yes',txsize=2)
_tmp1,_tmp2,goon=lsc.util.display_image('skyfit.fits',1, z11, z22, False, _xcen=.75, _ycen=.25, _xsize=.3, _ysize=.3, _erase='no')
s1 = 1
s2 = -int(fwhm0)
lsc.util.delete("tmptbl")
ff=open('tmptbl','w')
ff.write(str(s1)+' '+str(s2)+" RESIDUAL")
ff.close()
iraf.tvmark(1,"tmptbl",autol='no',mark="none",inter='no',label='yes',txsize=2)
newmag=list(zeros(len(truemag)))
for i in range(0,len(truemag)):
try:
newmag[i]=float(truemag[i])+float(dmag0)
except:
newmag[i]=float(dmag0)
magerr[i]=0.0
print truemag
print newmag
print "***************************************************************************"
print "#id x_ori y_ori x y ap_ori ap_bgsub fit_mag err_art err_fit"
for i in range(len(fitmag)):
print "SN",i,str(centx[i]+x1),str(centy[i]+y1),str(centx[i]),str(centy[i])," ",str(apori3[i])," ",str(apmag3[i])," ",str(newmag[i])," ",str(arterr)," ",str(magerr[i])
print "**************************************************************************"
return apori1,apori2,apori3,apmag1,apmag2,apmag3,fitmag,truemag,magerr,centx,centy,newmag
def sn_coordinate(imgl, _interactive):
from math import sqrt
from snoopy2 import src
import snoopy2
from pyraf import iraf
import string
import os
imgl = src.replace_directory(imgl)
if imgl[-5:] != '.fits':
imgllong = imgl + '.fits'
else:
imgllong = imgl
listastandard = snoopy2.__path__[
0] + '/standard/fluxstandard/supernovaelist.txt'
f = open(listastandard, 'r')
liststd = f.readlines()
f.close()
star, ra, dec = [], [], []
for i in liststd:
vector = string.split(i)
star.append(vector[0])
#print vector
ra.append(
float(vector[1]) + ((float(vector[2]) +
(float(vector[3]) / 60.)) / 60.))
if float(vector[4]) > 0:
dec.append(
float(vector[4]) + ((float(vector[5]) +
(float(vector[6]) / 60.)) / 60.))
else:
aa = -1 * ((abs(float(vector[4]))) +
((float(vector[5]) + (float(vector[6]) / 60.)) / 60.))
dec.append(aa)
print ra[-1], dec[-1], star[-1]
_telescope = src.telescope(imgllong)
_system = src.check_system(_telescope, imgllong, Stdout=True)
_header = src.read_parameter(_telescope, _system)
if _telescope == 'other':
print 'other'
_xdimen = src.xdimen(imgllong, _telescope)
_ydimen = src.ydimen(imgllong, _telescope)
xcenter = int(float(_xdimen) / 2)
ycenter = int(float(_ydimen) / 2)
f = open('_tmp.tv', 'w')
f.write(str(xcenter) + ' ' + str(ycenter) + '\n')
f.close()
iraf.delete('tmp.coo')
iraf.wcsctran('_tmp.tv',
'tmp.coo',
imgl,
inwcs='logical',
units='degrees degrees',
outwcs='world',
columns='1 2',
formats='%10.8f %10.8f')
sss = iraf.fields('tmp.coo', '1,2', Stdout=1)
_RA, _DEC = string.split(sss[2])
_RA = float(_RA) / 15.
_DEC = float(_DEC)
else:
_RA = src.RA(imgllong, _header, _telescope)
_DEC = src.DEC(imgllong, _header, _telescope)
print _RA, _DEC
ra0 = ''
if _RA and _DEC:
for st in range(len(star)):
distance = sqrt((float(_RA) - float(ra[st]))**2 +
(float(_DEC) - float(dec[st]))**2)
print st, distance
if distance <= 0.5:
print str(star[st]), str(_RA), str(_DEC), str(distance)
refstar = string.split(star[st])[0]
ra0, dec0 = ra[st], dec[st]
if _interactive:
print ''
print '############################################'
question = raw_input(
'Is this the right object ? [y/n] [y]')
print '############################################'
print ''
if not question: question = 'y'
if question in ['Yes', 'Y', 'y', 'YES', 'yes']:
break
else:
ra0, dec0 = '', ''
else:
print '############################################'
print ' object found ' + str(refstar)
print '############################################'
break
if ra0:
os.system('rm -rf tmp.*')
ff = open('tmp.tv', 'w')
ff.write(str(ra0 * 15.) + ' ' + str(dec0))
ff.close()
iraf.wcsctran('tmp.tv',
'tmp.pix',
imgl,
inwcs='world',
units='degrees degrees',
outwcs='logical',
columns='1 2',
formats='%10.1f %10.1f')
iraf.tvmark(1,
'tmp.pix',
mark="circle",
number='yes',
radii=10,
nxoffse=5,
nyoffse=5,
color=214,
txsize=2)
xx, yy = string.split(iraf.fields('tmp.pix', '1,2', Stdout=1)[2])
print xx, yy
os.system('rm -rf tmp.*')
else:
xx, yy = '', ''
print '### WARNING: no object in the list'
return xx, yy
outwcs='logical',
columns='1 2',
formats='%10.1f %10.1f')
if interactive:
print '######### Select FRAME TILE on your DS9 !!!!!'
_z1, _z2, goon = src.display_image(
snoopy2.__path__[0] + '/coordinate_std/' + dir_system +
coordinatelist + '_templ.fits', 2, '', '', False)
if not goon: src.close_program(logincl)
iraf.tvmark(2,
coordinatelist + '_templ.coo',
mark="circle",
number='no',
label='yes',
radii=5,
nxoffse=5,
nyoffse=5,
color=214,
txsize=4)
_z1, _z2, goon = src.display_image(img, 1, '', '', False)
if not goon: src.close_program(logincl)
iraf.tvmark(1,
'tmp.' + _filter + '.coo',
mark="circle",
number='no',
label='yes',
radii=5,
nxoffse=5,
def absphot(img,_field,_catalogue,_fix,_color,rejection,_interactive,_type='fit',redo=False,show=False,cutmag=-1,database='dataredulco',_calib='sloan'):
from astropy.io import fits
import lsc
import math
import sys,re,string,os
from lsc.util import readkey3, readhdr
from numpy import array, compress, zeros, median, std, asarray, isfinite,mean
from pyraf import iraf
if show:
from pylab import ion,plot,draw,clf
import time
iraf.noao(_doprint=0)
iraf.digiphot(_doprint=0)
iraf.daophot(_doprint=0)
iraf.images(_doprint=0)
iraf.imcoords(_doprint=0)
iraf.proto(_doprint=0)
t = fits.open(img)
tbdata = t[1].data
hdr2=t[1].header
hdr=lsc.util.readhdr(img)
_cat=readkey3(hdr,'catalog')
_telescope=lsc.util.readkey3(hdr,'telescop')
_instrume=lsc.util.readkey3(hdr,'instrume')
_filter=lsc.util.readkey3(hdr,'filter')
_airmass=lsc.util.readkey3(hdr,'airmass')
_exptime=lsc.util.readkey3(hdr,'exptime')
_date=lsc.util.readkey3(hdr,'date-obs')
_object=lsc.util.readkey3(hdr,'object')
_ra=lsc.util.readkey3(hdr,'RA')
_dec=lsc.util.readkey3(hdr,'DEC')
print _filter
if _telescope in ['lsc','1m0-04','1m0-05','1m0-09']: kk=lsc.sites.extintion('ctio')
elif _telescope in ['elp','1m0-08']: kk=lsc.sites.extintion('mcdonald')
elif _telescope in ['cpt','1m0-12','1m0-10','1m0-13']: kk=lsc.sites.extintion('southafrica')
elif _telescope in ['ftn','Faulkes Telescope North']: kk=lsc.sites.extintion('mauna')
elif _telescope in ['1m0-03','1m0-11','coj','fts','Faulkes Telescope South']: kk=lsc.sites.extintion('siding')
if _calib not in ['sloan','sloanprime','natural','apass','']: colorefisso=lsc.sites.colfix(_instrume)
else: colorefisso=lsc.sites.colfix(_instrume,_calib)
print redo
print _cat
if _cat and not redo:
print 'already calibrated'
else:
try:
lsc.mysqldef.updatevalue(database,'zcat','X',string.split(re.sub('.sn2.fits','.fits',img),'/')[-1])
if os.path.isfile(string.split(re.sub('.diff.sn2.fits','.fits',img),'/')[-1]):
lsc.mysqldef.updatevalue(database,'zcat','X',string.split(re.sub('.diff.sn2.fits','.fits',img),'/')[-1])
except: print 'module mysqldef not found'
column=makecatalogue([img])[_filter][img]
rasex=array(column['ra0'],float)
decsex=array(column['dec0'],float)
if _type=='fit':
magsex=array(column['smagf'],float)
magerrsex=array(column['smagerrf'],float)
elif _type=='ph':
magsex=array(column['magp3'],float)
magerrsex=array(column['merrp3'],float)
else: sys.exit(_type+' not valid (ph or fit)')
print len(rasex)
if not cutmag: cutmag=99
#else: cutmag= cutmag-2.5*math.log10(float(_exptime))
if len(compress( array(magsex) < float(cutmag) , magsex)) < 5 : cutmag=99 # not cut if only few object
rasex = compress(array(magsex,float)<=cutmag,rasex)
decsex = compress(array(magsex,float)<=cutmag,decsex)
magerrsex = compress(array(magsex,float)<=cutmag,magerrsex)
magsex = compress(array(magsex,float)<=cutmag,array(magsex))
print len(rasex)
if _interactive:
iraf.set(stdimage='imt1024')
iraf.display(re.sub('.sn2','',img),1,fill=True,Stdout=1)
vector=[]
for i in range(0,len(rasex)):
vector.append(str(rasex[i])+' '+str(decsex[i]))
xy = iraf.wcsctran('STDIN',output="STDOUT",Stdin=vector,Stdout=1,image=img,inwcs='world',units='degrees degrees',outwcs='logical',\
formats='%10.1f %10.1f',verbose='yes')[3:]
iraf.tvmark(1,'STDIN',Stdin=list(xy),mark="circle",number='yes',label='no',radii=10,nxoffse=5,nyoffse=5,color=207,txsize=2)
# raw_input('here')
if _catalogue:
######## use external catalogue
if _catalogue[0]=='/': stdcooC=lsc.lscastrodef.readtxt(_catalogue)
else: stdcooC=lsc.lscastrodef.readtxt(lsc.__path__[0]+'/standard/cat/'+_catalogue)
rastdC,decstdL=array(stdcooC['ra'],float),array(stdcooC['dec'],float)
lsc.util.delete('tmp.stdL.pix')
colonne=str(stdcooC['rapos'])+' '+str(stdcooC['decpos'])
if _catalogue[0]=='/':
iraf.wcsctran(_catalogue,'tmp.stdL.pix',img,inwcs='world',units='degrees degrees',outwcs='logical',\
columns=colonne,formats='%10.1f %10.1f',verbose='no')
else:
iraf.wcsctran(lsc.__path__[0]+'/standard/cat/'+_catalogue,'tmp.stdL.pix',img,inwcs='world',units='degrees degrees',outwcs='logical',\
columns=colonne,formats='%10.1f %10.1f',verbose='no')
standardpixC=lsc.lscastrodef.readtxt('tmp.stdL.pix')
if _interactive:
iraf.tvmark(1,'tmp.stdL.pix',mark="circle",number='yes',label='no',radii=8,nxoffse=5,nyoffse=5,color=204,txsize=2)
xstdC=standardpixC['ra']
ystdC=standardpixC['dec']
idstdC=standardpixC['id']
xstdC=compress((array(xstdC,float)<readkey3(hdr,'XDIM'))&(array(xstdC,float)>0)&(array(ystdC,float)>0)&(array(ystdC,float)<readkey3(hdr,'YDIM')),xstdC)
xstdL=xstdLL=xstdS=xstdC
standardpixL=standardpixLL=standardpixS=standardpixC
stdcooL=stdcooLL=stdcooS=stdcooC
else:
######## check if it is landolt field
stdcooL=lsc.lscastrodef.readtxt(lsc.__path__[0]+'/standard/cat/landolt.cat')
rastdL,decstdL=array(stdcooL['ra'],float),array(stdcooL['dec'],float)
lsc.util.delete('tmp.stdL.pix')
iraf.wcsctran(lsc.__path__[0]+'/standard/cat/landolt.cat','tmp.stdL.pix',img,inwcs='world',units='degrees degrees',outwcs='logical',\
columns='1 2',formats='%10.1f %10.1f',verbose='no')
standardpixL=lsc.lscastrodef.readtxt('tmp.stdL.pix')
if _interactive:
iraf.tvmark(1,'tmp.stdL.pix',mark="circle",number='yes',label='no',radii=8,nxoffse=5,nyoffse=5,color=204,txsize=2)
print 'yelow circles sextractor'
xstdL=standardpixL['ra']
ystdL=standardpixL['dec']
idstdL=standardpixL['id']
xstdL=compress((array(xstdL,float)<readkey3(hdr,'XDIM'))&(array(xstdL,float)>0)&(array(ystdL,float)>0)&(array(ystdL,float)<readkey3(hdr,'YDIM')),xstdL)
######## check if it is Stetson field
stdcooLL=lsc.lscastrodef.readtxt(lsc.__path__[0]+'/standard/cat/StetsonCat.dat')
ww=asarray([i for i in range(len(stdcooLL['ra'])) if ( abs(float(stdcooLL['ra'][i])-float(_ra))<.2 and abs(float(stdcooLL['dec'][i])-_dec)<.2 )])
if len(ww)>0:
for hh in stdcooLL.keys():
if type(stdcooLL[hh])!=int:
if hh not in ['id','ra','dec']:
stdcooLL[hh]=array(array(stdcooLL[hh])[ww],float)
else:
stdcooLL[hh]=array(stdcooLL[hh])[ww]
lll=[]
for i in range(0,len(stdcooLL['ra'])): lll.append(stdcooLL['ra'][i]+' '+stdcooLL['dec'][i])
rastdLL,decstdLL=array(stdcooLL['ra'],float),array(stdcooLL['dec'],float)
lsc.util.delete('tmp.stdLL.pix')
iraf.wcsctran('STDIN','tmp.stdLL.pix',img,inwcs='world',Stdin=lll,units='degrees degrees',outwcs='logical',\
columns='1 2',formats='%10.1f %10.1f',verbose='no')
if _interactive:
iraf.tvmark(1,'tmp.stdLL.pix',mark="cross",number='yes',label='no',radii=8,nxoffse=5,nyoffse=5,color=204,txsize=2)
print 'red crosses Stetson'
standardpixLL={}
for ii in stdcooLL.keys(): standardpixLL[ii]=stdcooLL[ii]
standardpixLL['ra']=array(iraf.proto.fields('tmp.stdLL.pix',fields='1',Stdout=1),float) #standardpixLL['ra']
standardpixLL['dec']=array(iraf.proto.fields('tmp.stdLL.pix',fields='2',Stdout=1),float) #standardpixLL['dec']
xstdLL=array(iraf.proto.fields('tmp.stdLL.pix',fields='1',Stdout=1),float) #standardpixLL['ra']
ystdLL=array(iraf.proto.fields('tmp.stdLL.pix',fields='2',Stdout=1),float) #standardpixLL['dec']
idstdLL=standardpixLL['id']
xstdLL=compress((array(xstdLL,float)<readkey3(hdr,'XDIM'))&(array(xstdLL,float)>0)&(array(ystdLL,float)>0)&(array(ystdLL,float)<readkey3(hdr,'YDIM')),xstdLL)
######## check if it is sloan field
magsel0,magsel1=12,18
_ids=lsc.lscastrodef.sloan2file(_ra,_dec,20,float(magsel0),float(magsel1),'_tmpsloan.cat')
ascifile='_tmpsloan.cat'
stdcooS=lsc.lscastrodef.readtxt(ascifile)
rastdS,decstdS=array(stdcooS['ra'],float),array(stdcooS['dec'],float)
lsc.util.delete('tmp.stdS.pix')
iraf.wcsctran(ascifile,'tmp.stdS.pix',img,inwcs='world',units='degrees degrees',outwcs='logical',columns='1 2',formats='%10.1f %10.1f',verbose='no')
standardpixS=lsc.lscastrodef.readtxt('tmp.stdS.pix')
if _interactive:
iraf.tvmark(1,'tmp.stdS.pix',mark="cross",number='yes',label='no',radii=8,nxoffse=5,nyoffse=5,color=205,txsize=2)
print 'green cross sloan'
xstdS=standardpixS['ra']
ystdS=standardpixS['dec']
idstdS=standardpixS['id']
xstdS=compress((array(xstdS,float)<readkey3(hdr,'XDIM'))&(array(xstdS,float)>0)&(array(ystdS,float)>0)&(array(ystdS,float)<readkey3(hdr,'YDIM')),xstdS)
##############################################3
if not _catalogue and len(xstdLL)>0:
xstdL=xstdLL
standardpixL=standardpixLL
stdcooL=stdcooLL
if _filter in ['U', 'B', 'V', 'R','I','Bessell-B','Bessell-V','Bessell-R','Bessell-I']:
filters={'U':'U', 'B':'B', 'V':'V', 'R':'R', 'I':'I','Bessell-B':'B','Bessell-V':'V','Bessell-R':'R','Bessell-I':'I'}
if _color:
colors=lsc.myloopdef.chosecolor(_color,False)
if not colors: colors={'U':['UB'],'B':['UB','BV'],'V':['BV','VR'],'R':['VR','RI'],'I':['RI']}
else:
colors={'U':['UB'],'B':['UB','BV'],'V':['BV','VR'],'R':['VR','RI'],'I':['RI']}
if _field=='sloan':
standardpix,stdcoo={'ra':[9999],'dec':[9999],'id':[1]},{'ra':[9999],'dec':[9999]}
print 'filters and field selected do not match'
else:
_field='landolt'
if len(xstdL)>=1:
standardpix=standardpixL
stdcoo=stdcooL
if not _catalogue:
if len(xstdLL)>0: _catalogue='StetsonCat.dat'
else: _catalogue='landolt.dat'
elif len(xstdS)>=1:
if not _catalogue: _catalogue='sdss8'
standardpix=standardpixS
stdcoo=stdcooS
stdcoo=lsc.lscastrodef.transformsloanlandolt(stdcoo)
if not _catalogue: _catalogue='sdss8'
print '\n### transform sloan in landolt'
else:
print 'landolt, but catalogue not found'
standardpix,stdcoo={'ra':[9999],'dec':[9999],'id':[1]},{'ra':[9999],'dec':[9999]}
elif _filter in ['up','gp','rp','ip','zs','SDSS-G','SDSS-R','SDSS-I','Pan-Starrs-Z']:
filters={'up':'u','ip':'i','gp':'g','rp':'r','zs':'z','SDSS-G':'g','SDSS-R':'r','SDSS-I':'i','Pan-Starrs-Z':'z'}
if _color:
colors=lsc.myloopdef.chosecolor(_color,False)
if not colors: colors={'i':['ri','iz'],'r':['gr','ri'],'g':['ug','gr'],'z':['iz'],'u':['ug']}
else:
colors={'i':['ri','iz'],'r':['gr','ri'],'g':['ug','gr'],'z':['iz'],'u':['ug']}
if _field=='landolt':
standardpix,stdcoo={'ra':[9999],'dec':[9999],'id':[1]},{'ra':[9999],'dec':[9999]}
print 'filters and field selected do not match'
else:
_field='sloan'
if len(xstdS)>=1:
if not _catalogue: _catalogue='sdss8'
standardpix=standardpixS
stdcoo=stdcooS
elif len(xstdL)>=1:
standardpix=standardpixL
stdcoo=stdcooL
stdcoo=lsc.lscastrodef.transformlandoltsloan(stdcoo)
if not _catalogue: _catalogue='landolt.dat'
print '\n### transform landolt to sloan'
else:
print 'sloan, but not in the sdss footprint'
standardpix,stdcoo={'ra':[9999],'dec':[9999],'id':[1]},{'ra':[9999],'dec':[9999]}
xstd=standardpix['ra']
ystd=standardpix['dec']
idstd=standardpix['id']
rastd,decstd=array(stdcoo['ra'],float),array(stdcoo['dec'],float)
xstd0=compress((array(xstd,float)<readkey3(hdr,'XDIM'))&(array(xstd,float)>0)&(array(ystd,float)>0)&(array(ystd,float)<readkey3(hdr,'YDIM')),xstd)
if len(xstd0)>1: ######## go only if standard stars are in the field ##########
magstd0={}
airmass0={}
result={}
fileph={}
print '\n### standard field: '+str(_field)
ystd0=compress((array(xstd,float)<readkey3(hdr,'XDIM'))&(array(xstd,float)>0)&(array(ystd,float)>0)\
&(array(ystd,float)<readkey3(hdr,'YDIM')),ystd)
rastd0=compress((array(xstd,float)<readkey3(hdr,'XDIM'))&(array(xstd,float)>0)&(array(ystd,float)>0)\
&(array(ystd,float)<readkey3(hdr,'YDIM')),rastd)
decstd0=compress((array(xstd,float)<readkey3(hdr,'XDIM'))&(array(xstd,float)>0)&(array(ystd,float)>0)\
&(array(ystd,float)<readkey3(hdr,'YDIM')),decstd)
idstd0=compress((array(xstd,float)<readkey3(hdr,'XDIM'))&(array(xstd,float)>0)&(array(ystd,float)>0)\
&(array(ystd,float)<readkey3(hdr,'YDIM')),idstd)
stdcoo0={}
for key in stdcoo.keys():
if key in 'ugrizUBVRI':
stdcoo0[key]=compress((array(xstd,float)<readkey3(hdr,'XDIM'))&(array(xstd,float)>0)&(array(ystd,float)>0)\
&(array(ystd,float)<readkey3(hdr,'YDIM')),stdcoo[key])
###############################################################
# pos0 = standard pos1 = sextractor
distvec,pos0,pos1=lsc.lscastrodef.crossmatch(array(rastd0),array(decstd0),array(rasex),array(decsex),10)
for key in stdcoo0.keys(): stdcoo0[key]=stdcoo0[key][pos0]
rastd0=rastd0[pos0]
decstd0=decstd0[pos0]
idstd0=idstd0[pos0]
rasex=rasex[pos1]
decsex=decsex[pos1]
# after change in may 2013 mag in sn2.fits file are already at 1s
magsex=magsex[pos1]-kk[filters[_filter]]*float(_airmass) # - K x airmass
# magsex=magsex[pos1]+2.5*math.log10(float(_exptime))-kk[filters[_filter]]*float(_airmass) # mag exptime - K x airmass
#################################################################################
if _field=='landolt':
print '\n### landolt system'
for _filtlandolt in 'UBVRI':
if _filtlandolt==filters[_filter]: airmass0[_filtlandolt]= 0 #_airmass
else: airmass0[_filtlandolt]= 0
magstd0[_filtlandolt]=stdcoo0[_filtlandolt]
fileph['mU']=zeros(len(rastd0))+999
fileph['mB']=zeros(len(rastd0))+999
fileph['mV']=zeros(len(rastd0))+999
fileph['mR']=zeros(len(rastd0))+999
fileph['mI']=zeros(len(rastd0))+999
fileph['V']=magstd0['V']
fileph['BV']=array(array(magstd0['B'],float)-array(magstd0['V'],float),str)
fileph['UB']=array(array(magstd0['U'],float)-array(magstd0['B'],float),str)
fileph['VR']=array(array(magstd0['V'],float)-array(magstd0['R'],float),str)
fileph['RI']=array(array(magstd0['R'],float)-array(magstd0['I'],float),str)
elif _field=='sloan':
for _filtsloan in 'ugriz':
if _filtsloan==filters[_filter]: airmass0[_filtsloan]= 0 # _airmass
else: airmass0[_filtsloan]=0
magstd0[_filtsloan]=stdcoo0[_filtsloan]
fileph['mu']=zeros(len(rastd0))+999
fileph['mg']=zeros(len(rastd0))+999
fileph['mr']=zeros(len(rastd0))+999
fileph['mi']=zeros(len(rastd0))+999
fileph['mz']=zeros(len(rastd0))+999
fileph['r']=magstd0['r']
fileph['gr']=array(array(magstd0['g'],float)-array(magstd0['r'],float),str)
fileph['ri']=array(array(magstd0['r'],float)-array(magstd0['i'],float),str)
fileph['ug']=array(array(magstd0['u'],float)-array(magstd0['g'],float),str)
fileph['iz']=array(array(magstd0['i'],float)-array(magstd0['z'],float),str)
########################################################################################
zero=[]
magcor=[]
fil = open(re.sub('.fits','.ph',img),'w')
fil.write(str(_instrume)+' '+str(_date)+'\n')
fil.write('*** '+_object+' '+str(len(magsex))+'\n')
if _field=='landolt':
fil.write('%6.6s\t%6.6s\t%6.6s\t%6.6s\t%6.6s\n' % (str(1),str(1),str(1),str(1),str(1))) # exptime
fil.write('%6.6s\t%6.6s\t%6.6s\t%6.6s\t%6.6s\n' % (str(airmass0['U']),str(airmass0['B']),str(airmass0['V']),str(airmass0['R']),str(airmass0['I'])))
elif _field=='sloan':
fil.write('%6.6s\t%6.6s\t%6.6s\t%6.6s\t%6.6s\n' % (str(1),str(1),str(1),str(1),str(1))) # exptime
fil.write('%6.6s\t%6.6s\t%6.6s\t%6.6s\t%6.6s\n' % (str(airmass0['u']),str(airmass0['g']),str(airmass0['r']),str(airmass0['i']),str(airmass0['z'])))
for i in range(0,len(magsex)):
fileph['m'+filters[_filter]][i]=magsex[i] # instrumental mangitude of std in pos0[i]
if _field=='landolt':
stringastandard='%12.12s\t%7.7s\t%7.7s\t%7.7s\t%7.7s\t%7.7s' % (idstd0[i],fileph['V'][i],fileph['BV'][i],fileph['UB'][i],\
fileph['VR'][i],fileph['RI'][i])
fil.write('%7.7s\t%7.7s\t%7.7s\t%7.7s\t%7.7s\t%60.60s\n' \
% (str(fileph['mU'][i]),str(fileph['mB'][i]),str(fileph['mV'][i]),str(fileph['mR'][i]),str(fileph['mI'][i]),str(stringastandard)))
elif _field=='sloan':
stringastandard='%12.12s\t%7.7s\t%7.7s\t%7.7s\t%7.7s\t%7.7s' % (idstd0[i],fileph['r'][i],fileph['gr'][i],fileph['ug'][i],\
fileph['ri'][i],fileph['iz'][i])
fil.write('%7.7s\t%7.7s\t%7.7s\t%7.7s\t%7.7s\t%60.60s\n' \
% (str(fileph['mu'][i]),str(fileph['mg'][i]),str(fileph['mr'][i]),str(fileph['mi'][i]),str(fileph['mz'][i]),str(stringastandard)))
zero.append(float(float(magstd0[filters[_filter]][i]))-float(magsex[i]))
magcor.append(magsex[i])
fil.close()
if show:
import time
from pylab import ion,plot,draw
ion()
aa=mean(compress(abs(array(zero))<99,zero))
xxx=compress((abs(array(magcor))<99)&(abs(array(zero))<99),magcor)
yyy=compress((abs(array(zero))<99)&(abs(array(magcor))<99),zero)
plot(xxx,yyy,'or')
plot([min(compress(abs(array(magcor))<99,magcor)),max(compress(abs(array(magcor))<99,magcor))],[aa,aa],'-b')
draw()
print std(compress(abs(array(zero))<99,zero))
time.sleep(5)
colorvec=colors[filters[_filter]]
for col in colorvec:
col0=magstd0[col[0]]
col1=magstd0[col[1]]
colstd0=array(col0,float)-array(col1,float)
################## sex ######################
colore=[]
for i in range(0,len(pos1)): colore.append(colstd0[i])
colore1=compress(abs(array(zero))<50,array(colore))
zero1=compress(abs(array(zero))<50,array(zero))
zero2=compress(abs(array(colore1))<2,array(zero1))
colore2=compress(abs(array(colore1))<2,array(colore1))
if _fix: fisso=colorefisso[filters[_filter]+col]
else: fisso=''
if len(colore2)==0:
print 'no calibration, '+_filter+' '+_field
b,a,sa,sb=9999,9999,0,0
else:
if _interactive: a,sa,b,sb=fitcol(colore2,zero2,_filter,col,fisso)
else: a,sa,b,sb=fitcol2(colore2,zero2,_filter,col,fisso,show,rejection)
print a,sa,b,sb
result[filters[_filter]+col]=[a,sa,b,sb]
if result:
print '\n### zeropoint ..... done at airmass 0'
if _catalogue:
lsc.util.updateheader(img,0,{'CATALOG':[str(string.split(_catalogue,'/')[-1]),'catalogue source']})
stringa=''
for ll in result:
for kk in range(0,len(result[ll])):
if not isfinite(result[ll][kk]): result[ll][kk]=0.0
valore='%3.3s %6.6s %6.6s %6.6s %6.6s' % (str(ll),str(result[ll][0]),str(result[ll][2]),str(result[ll][1]),str(result[ll][3]))
print '### ',valore
lsc.util.updateheader(img,0,{'zp'+ll:[str(valore),'a b sa sb in y=a+bx']})
if ll[0]==ll[2]: num=2
elif ll[0]==ll[1]: num=1
else: sys.exit('somthing wrong with color '+ll)
print ll,num
try:
print 'zcol'+str(num),ll[1:],string.split(re.sub('.sn2.fits','.fits',img),'/')[-1]
lsc.mysqldef.updatevalue(database,'zcol'+str(num),ll[1:],string.split(re.sub('.sn2.fits','.fits',img),'/')[-1])
lsc.mysqldef.updatevalue(database,'z'+str(num),result[ll][0],string.split(re.sub('.sn2.fits','.fits',img),'/')[-1])
lsc.mysqldef.updatevalue(database,'c'+str(num),result[ll][2],string.split(re.sub('.sn2.fits','.fits',img),'/')[-1])
lsc.mysqldef.updatevalue(database,'dz'+str(num),result[ll][1],string.split(re.sub('.sn2.fits','.fits',img),'/')[-1])
lsc.mysqldef.updatevalue(database,'dc'+str(num),result[ll][3],string.split(re.sub('.sn2.fits','.fits',img),'/')[-1])
if os.path.isfile(string.split(re.sub('.diff.sn2.fits','.fits',img),'/')[-1]):
lsc.mysqldef.updatevalue(database,'zcol'+str(num),ll[1:],string.split(re.sub('.diff.sn2.fits','.fits',img),'/')[-1])
lsc.mysqldef.updatevalue(database,'z'+str(num),result[ll][0],string.split(re.sub('.diff.sn2.fits','.fits',img),'/')[-1])
lsc.mysqldef.updatevalue(database,'c'+str(num),result[ll][2],string.split(re.sub('.diff.sn2.fits','.fits',img),'/')[-1])
lsc.mysqldef.updatevalue(database,'dz'+str(num),result[ll][1],string.split(re.sub('.diff.sn2.fits','.fits',img),'/')[-1])
lsc.mysqldef.updatevalue(database,'dc'+str(num),result[ll][3],string.split(re.sub('.diff.sn2.fits','.fits',img),'/')[-1])
if result[ll][0]!=9999:
print _catalogue
lsc.mysqldef.updatevalue(database,'zcat',string.split(_catalogue,'/')[-1],string.split(re.sub('.sn2.fits','.fits',img),'/')[-1])
if os.path.isfile(string.split(re.sub('.diff.sn2.fits','.fits',img),'/')[-1]):
lsc.mysqldef.updatevalue(database,'zcat',string.split(_catalogue,'/')[-1],string.split(re.sub('.diff.sn2.fits','.fits',img),'/')[-1])
else:
lsc.mysqldef.updatevalue(database,'zcat','X',string.split(re.sub('.sn2.fits','.fits',img),'/')[-1])
if os.path.isfile(string.split(re.sub('.diff.sn2.fits','.fits',img),'/')[-1]):
lsc.mysqldef.updatevalue(database,'zcat','X',string.split(re.sub('.diff.sn2.fits','.fits',img),'/')[-1])
except: print 'module mysqldef not found'
decsn = ''
if rasn and decsn:
from pyraf import iraf
iraf.astcat(_doprint=0)
iraf.imcoords(_doprint=0)
iraf.digiphot(_doprint=0)
iraf.daophot(_doprint=0)
lll = [str(rasn) + ' ' + str(decsn)]
sss = iraf.wcsctran('STDIN', 'STDOUT', re.sub('sn2.','',img)+'[0]', Stdin=lll, inwcs='world', units='degrees degrees',
outwcs='logical', columns='1 2', formats='%10.1f %10.1f', Stdout=1)
if _verbose:
iraf.display(re.sub('sn2.','',img)+'[0]',fill='yes',frame=1)
iraf.tvmark(1, 'STDIN', Stdin = list(sss) ,mark = "circle" , number = 'yes' ,label = 'no' ,
radii = 10, nxoffse = 5, nyoffse = 5, color = 204, txsize = 2)
if 'diff' in img:
diffimg = re.sub('diff.sn2.','',img)
iraf.display(diffimg+'[0]',fill='yes',frame=2)
iraf.tvmark(2, 'STDIN', Stdin = list(sss) ,mark = "circle" , number = 'yes' ,label = 'no' ,
radii = 10, nxoffse = 5, nyoffse = 5, color = 204, txsize = 2)
_gain = agnkey.util.readkey3(hdr, 'gain')
_ron = agnkey.util.readkey3(hdr, 'ron')
_exptime = agnkey.util.readkey3(hdr, 'exptime')
_pixelscale = agnkey.util.readkey3(hdr, 'PIXSCALE')
a1, a2, a3, a4, = float(5. / _pixelscale), float(5. / _pixelscale), float(8. / _pixelscale), float(
10. / _pixelscale)
zmag= 0 #25
