Пример #1
0
    def viewCube(self, cube, **kwargs):

        print "\nDISPLAYING DATA CUBE"

        iraf.gfdisplay(cube, **kwargs)

        return
Пример #2
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    def viewCube(self, cubeFile, frameNo=1, z1=0., z2=0., ext="SCI", \
     version="*"):

        iraf.gfdisplay(cubeFile, frame=frameNo, z1=z1, z2=z2, extname=ext, \
         version=version)

        return
Пример #3
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iraf.imdelete('rg@' + ic.lst_flat)
iraf.imdelete('erg@' + ic.lst_flat)

for flat in iraf.type(ic.lst_flat, Stdout=1):
    flat = flat.strip()
    iraf.gfreduce(flat,
                  rawpath=ic.rawdir,
                  fl_extract='yes',
                  bias=ic.bias,
                  fl_over='yes',
                  fl_trim='yes',
                  mdffile=ic.nmdf,
                  mdfdir='./',
                  slits='both',
                  line=1400,
                  fl_fluxcal='no',
                  fl_gscrrej='no',
                  fl_wavtran='no',
                  fl_skysub='no',
                  fl_inter='no',
                  fl_vardq='yes')

os.system('ds9 &')
iraf.sleep(5.0)
for flat in iraf.type(ic.lst_flat, Stdout=1):
    flat = flat.strip()
    iraf.gfdisplay('erg' + flat, 1)

# Printing the running time
print('--- %s seconds ---' % (time.time() - start_time))
Пример #4
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# ---------- Trace reference ---------- #
flat = np.loadtxt(ic.lst_flat, dtype=str)
if (flat.size > 1):
	raise ValueError("Please check if there is only one flat image for the standard star.")
flat0 = flat.item(0)

iraf.imdelete('g@'+ic.lst_flat)
iraf.imdelete('rg@'+ic.lst_flat)
iraf.imdelete('erg@'+ic.lst_flat)

iraf.gfreduce(flat0, rawpath=ic.rawdir, fl_extract='yes', bias=ic.caldir+ic.procbias,
	          fl_over='yes', fl_trim='yes', mdffile=ic.nmdf, mdfdir='./',
	          slits=ic.cslit, line=pk_line, fl_fluxcal='no', fl_gscrrej='no',
	          fl_wavtran='no', fl_skysub='no', fl_inter='no', fl_vardq='yes')


# ----- Displaying the results ----- #
if (ic.nslit == 1):
	vkw = '1'
if (ic.nslit == 2):
	vkw = '*'
os.system('ds9 &')
iraf.sleep(5.0)
iraf.gfdisplay('erg'+flat0, 1, version=vkw)


# Printing the running time
print('--- %.4f seconds ---' %(time.time()-start_time))
Пример #5
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iraf.imdelete('qbrg@'+ic.lst_flat)
iraf.imdelete('eqbrg@'+ic.lst_flat)
iraf.gfreduce('brg@'+ic.lst_flat, recenter='no', reference='erg'+flat0,
              fl_extract='yes', fl_qecorr='yes', qe_refim='erg'+arc0,
              fl_addmdf='no', fl_bias='no', fl_over='no', fl_trim='no',
              mdffile=ic.nmdf, mdfdir='./',
              slits=ic.cslit, line=pk_line, fl_fluxcal='no', fl_gscrrej='no',
              fl_wavtran='no', fl_skysub='no', fl_inter='no', fl_vardq='yes')

if (ic.nslit == 1):
    vkw = '1'
if (ic.nslit == 2):
    vkw = '*'
os.system('ds9 &')
iraf.sleep(5.0)
iraf.gfdisplay('eqbrg'+flat0, 1, version=vkw)


# ---------- Response function ---------- #
iraf.imdelete(flat0+'_resp')
iraf.gfresponse('eqbrg'+flat0, outimage=flat0+'_resp', sky='', 
	            order=45, func='spline3', sample='*', 
	            fl_fit='yes', fl_inter='no')


# os.system('ds9 &')
# iraf.sleep(5.0)
iraf.gfdisplay(flat0+'_resp', 1, version=vkw)


# Printing the running time
Пример #6
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import glob, os
import g0_init_cfg as ic


# ----- Importing IRAF from the root directory ----- #
current_dir = os.getcwd()
os.chdir(ic.dir_iraf)

from pyraf import iraf
from pyraf.iraf import gemini, gmos

os.chdir(current_dir)
iraf.chdir(current_dir)


# ----- Spectrophotometric calibration ----- #
iraf.imdelete('cstxeqxbrg@'+ic.lst_sci, verify='no')
for sci in iraf.type(ic.lst_sci, Stdout=1):
	sci = sci.strip()
	iraf.gscalibrate('stxeqxbrg'+sci, sfunction=ic.caldir+ic.sensfunc,
		             obs=ic.obs_site, extinction=ic.extinction,
		             fl_ext='yes', fl_vardq='yes')

os.system('ds9 &')
iraf.sleep(5.0)
for sci in iraf.type(ic.lst_sci, Stdout=1):
	iraf.gfdisplay('cstxeqxbrg'+sci, 1, version=1)


# Printing the running time
print('--- %s seconds ---' %(time.time()-start_time))
Пример #7
0
iraf.unlearn('gfextract')
iraf.unlearn('gfdisplay')


# ---------- QE correction and extraction of the science ---------- #
flat0 = iraf.type(ic.lst_flat, Stdout=1)[0].strip()
response = flat0+'_resp'
ref_flat0 = 'eqbrg'+flat0

arc0 = iraf.type(ic.lst_arc, Stdout=1)[0].strip()

iraf.imdelete('qxbrg@'+ic.lst_sci)
iraf.imdelete('eqxbrg@'+ic.lst_sci)

for sci in iraf.type(ic.lst_sci, Stdout=1):
    sci = sci.strip()
    iraf.gqecorr('xbrg'+sci, refimage='erg'+arc0, fl_correct='yes',
                 fl_vardq='yes', verbose='yes')
    iraf.gfextract('qxbrg'+sci, response=response, recenter='no',
                   trace='no', reference=ref_flat0, weights='none',
                   fl_vardq='yes', line=1400)

os.system('ds9 &')
iraf.sleep(5.0)
for sci in iraf.type(ic.lst_sci, Stdout=1):
	sci = sci.strip()
	iraf.gfdisplay('eqxbrg'+sci, 1)


# Printing the running time
print('--- %s seconds ---' %(time.time()-start_time))
Пример #8
0
iraf.imdelete('qbrg@'+ic.lst_flat)
iraf.imdelete('eqbrg@'+ic.lst_flat)
iraf.gfreduce('brg@'+ic.lst_flat, recenter='no', reference='erg'+flatref,
              fl_extract='yes', fl_qecorr='yes', qe_refim='erg'+arc0,
              fl_addmdf='no', fl_bias='no', fl_over='no', fl_trim='no',
              mdffile=ic.nmdf, mdfdir='./',
              slits='both', line=1400, fl_fluxcal='no', fl_gscrrej='no',
              fl_wavtran='no', fl_skysub='no', fl_inter='no',
              fl_vardq='yes')

os.system('ds9 &')
iraf.sleep(5.0)
for flat in iraf.type(ic.lst_flat, Stdout=1):
	flat = flat.strip()
	iraf.gfdisplay('eqbrg'+flat, 1)


# ---------- Response function ---------- #
for flat in iraf.type(ic.lst_flat, Stdout=1):
    flat = flat.strip()
    iraf.imdelete(flat+'_resp')
    iraf.gfresponse('eqbrg'+flat, outimage=flat+'_resp', sky='', 
    	            order=45, func='spline3', sample='*', 
    	            fl_fit='yes', fl_inter='no')

# os.system('ds9 &')
# iraf.sleep(5.0)
for flat in iraf.type(ic.lst_flat, Stdout=1):
    flat = flat.strip()
    iraf.gfdisplay(flat+'_resp', 1)
Пример #9
0
iraf.imdelete('qxbrg@'+ic.lst_std)
iraf.imdelete('eqxbrg@'+ic.lst_std)
iraf.gqecorr('xbrg'+std0, refimage='erg'+arc0, fl_correct='yes',
             fl_vardq='yes', verbose='yes')
iraf.gfextract('qxbrg'+std0, response=response, recenter='no',
               trace='no', reference=ref_flat0, weights='none',
               fl_vardq='yes', line=pk_line, exslits=ic.eslit)

if (ic.nslit == 1):
    vkw = '1'
if (ic.nslit == 2):
    vkw = '*'
os.system('ds9 &')
iraf.sleep(5.0)
iraf.gfdisplay('eqxbrg'+std0, 1, version=vkw)


# ----- Displaying the extracted data for checking bad columns ----- #
# fits.open('eqxbrg'+std0+'.fits').info()

if (glob.glob("badcol/") == []):
	os.system("mkdir badcol")
# ---> making a directory for bad column masking region files
# ("badcol/std{}_slit{}.reg", with DS9 saoimage format)

dt1, hd1 = fits.getdata('eqxbrg'+std0+'.fits', ext=2, header=True)
z1l, z1u = np.percentile(dt1, [15, 85])
# 2-slit mode
if (ic.nslit == 2):
	dt2, hd2 = fits.getdata('eqxbrg'+std0+'.fits', ext=5, header=True)