def daddi():
"""
"""
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME + 'DADDI')
#### Copy necessary files from PREP_FLT to DATA
os.chdir('PREP_FLT')
grism_asn = glob.glob('HIGHZ-CLUSTER-?-G141_asn.fits')
files = glob.glob('HIGHZ-CLUSTER-?-G141_shifts.txt')
files.extend(grism_asn)
files.extend(glob.glob('*tweak.fits'))
for file in files:
status = os.system('cp ' + file + ' ../DATA')
#shutil.copy(file, '../DATA')
os.chdir('../')
#### Initialize parameters
go.set_parameters(direct='F140W', LIMITING_MAGNITUDE=24.5)
threedhst.options['OTHER_BANDS'] = []
#### Main loop for reduction
for i in range(len(grism_asn)):
asn = grism_asn[i]
threedhst.options[
'PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/' + asn.replace(
'asn', 'drz').replace('G141', 'F140W')
proc.reduction_script(asn_grism_file=asn)
#unicorn.analysis.make_SED_plots(grism_root=asn.split('_asn.fits')[0])
go.clean_up()
def sn_tile41():
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME+'SN-TILE41')
#### Copy necessary files from PREP_FLT to DATA
os.chdir('PREP_FLT')
grism_asn = glob.glob('TILE41*-G1*_asn.fits')
files=glob.glob('TILE41*-G1*_shifts.txt')
files.extend(grism_asn)
files.extend(glob.glob('TILE41*tweak.fits'))
for file in files:
status = os.system('cp '+file+' ../DATA')
#shutil.copy(file, '../DATA')
os.chdir('../')
#### Initialize parameters
go.set_parameters(direct='F160W', LIMITING_MAGNITUDE=23)
#### Main loop for reduction
for i, asn in enumerate(grism_asn):
threedhst.options['PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/TILE41-F160W_drz.fits'
threedhst.options['OTHER_BANDS'] = [['TILE41-F105W_sci.fits', 'F105W' , 1055.2, 26.27], ['TILE41-F125W_sci.fits', 'F125W' , 1248.6, 26.25]]
proc.reduction_script(asn_grism_file=asn)
#unicorn.analysis.make_SED_plots(grism_root=asn.split('_asn.fits')[0])
go.clean_up()
def GN20():
from threedhst.prep_flt_files import process_3dhst_pair as pair
import threedhst.prep_flt_files
import glob
import os
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME + 'GOODS-N/PREP_FLT')
#### Make detection image
direct_files = glob.glob('GOODS-N-18-F140W_asn.fits')
threedhst.utils.combine_asn_shifts(direct_files,
out_root='GN20-F140W',
path_to_FLT='./',
run_multidrizzle=False)
#
direct_files = glob.glob('GOODS-N-18-G141_asn.fits')
threedhst.utils.combine_asn_shifts(direct_files,
out_root='GN20-G141',
path_to_FLT='./',
run_multidrizzle=False)
SCALE = 0.06
threedhst.prep_flt_files.startMultidrizzle('GN20-F140W_asn.fits',
use_shiftfile=True,
skysub=False,
final_scale=SCALE,
pixfrac=0.6,
driz_cr=False,
updatewcs=False,
clean=True,
median=False,
ra=189.30047,
dec=62.368959,
final_outnx=960,
final_outny=800) #,
#### Copy necessary files from PREP_FLT to DATA
grism_asn = glob.glob('GN20-G141_asn.fits')
files = glob.glob('GN20-G141_shifts.txt')
files.extend(grism_asn)
files.extend(glob.glob('GN20-F140W_tweak.fits'))
for file in files:
status = os.system('cp ' + file + ' ../DATA')
#shutil.copy(file, '../DATA')
os.chdir('../')
#### Initialize parameters
go.set_parameters(direct='F140W', LIMITING_MAGNITUDE=27.5)
#### Main loop for reduction
asn = 'GN20-G141_asn.fits'
threedhst.options[
'PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/GN20-F140W_drz.fits'
proc.reduction_script(asn_grism_file=asn)
unicorn.analysis.make_SED_plots(grism_root=asn.split('_asn.fits')[0])
go.clean_up()
def daddi():
"""
"""
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME+'DADDI')
#### Copy necessary files from PREP_FLT to DATA
os.chdir('PREP_FLT')
grism_asn = glob.glob('HIGHZ-CLUSTER-?-G141_asn.fits')
files=glob.glob('HIGHZ-CLUSTER-?-G141_shifts.txt')
files.extend(grism_asn)
files.extend(glob.glob('*tweak.fits'))
for file in files:
status = os.system('cp '+file+' ../DATA')
#shutil.copy(file, '../DATA')
os.chdir('../')
#### Initialize parameters
go.set_parameters(direct='F140W', LIMITING_MAGNITUDE=24.5)
threedhst.options['OTHER_BANDS'] = []
#### Main loop for reduction
for i in range(len(grism_asn)):
asn = grism_asn[i]
threedhst.options['PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/'+asn.replace('asn','drz').replace('G141', 'F140W')
proc.reduction_script(asn_grism_file=asn)
#unicorn.analysis.make_SED_plots(grism_root=asn.split('_asn.fits')[0])
go.clean_up()
def sn_tile41():
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME + 'SN-TILE41')
#### Copy necessary files from PREP_FLT to DATA
os.chdir('PREP_FLT')
grism_asn = glob.glob('TILE41*-G1*_asn.fits')
files = glob.glob('TILE41*-G1*_shifts.txt')
files.extend(grism_asn)
files.extend(glob.glob('TILE41*tweak.fits'))
for file in files:
status = os.system('cp ' + file + ' ../DATA')
#shutil.copy(file, '../DATA')
os.chdir('../')
#### Initialize parameters
go.set_parameters(direct='F160W', LIMITING_MAGNITUDE=23)
#### Main loop for reduction
for i, asn in enumerate(grism_asn):
threedhst.options[
'PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/TILE41-F160W_drz.fits'
threedhst.options['OTHER_BANDS'] = [[
'TILE41-F105W_sci.fits', 'F105W', 1055.2, 26.27
], ['TILE41-F125W_sci.fits', 'F125W', 1248.6, 26.25]]
proc.reduction_script(asn_grism_file=asn)
#unicorn.analysis.make_SED_plots(grism_root=asn.split('_asn.fits')[0])
go.clean_up()
def GOODS_SMG():
from threedhst.prep_flt_files import process_3dhst_pair as pair
import threedhst.prep_flt_files
import glob
import os
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME+'GOODS-N/PREP_FLT')
#### Make detection image
direct_files = glob.glob('GOODS-N-34-F140W_asn.fits')
threedhst.utils.combine_asn_shifts(direct_files, out_root='G850.1-F140W',
path_to_FLT='./', run_multidrizzle=False)
#
direct_files = glob.glob('GOODS-N-34-G141_asn.fits')
threedhst.utils.combine_asn_shifts(direct_files, out_root='G850.1-G141',
path_to_FLT='./', run_multidrizzle=False)
SCALE = 0.06
threedhst.prep_flt_files.startMultidrizzle('G850.1-F140W_asn.fits',
use_shiftfile=True, skysub=False,
final_scale=SCALE, pixfrac=0.6, driz_cr=False,
updatewcs=False, clean=True, median=False,
ra=189.21663, dec=62.207175, final_outnx = 1960, final_outny = 1800) #,
#### Copy necessary files from PREP_FLT to DATA
grism_asn = glob.glob('G850.1-G141_asn.fits')
files=glob.glob('G850.1-G141_shifts.txt')
files.extend(grism_asn)
files.extend(glob.glob('G850.1-F140W_tweak.fits'))
for file in files:
status = os.system('cp '+file+' ../DATA')
#shutil.copy(file, '../DATA')
os.chdir('../')
#### Initialize parameters
import unicorn.go_3dhst as go
import unicorn
os.chdir(unicorn.GRISM_HOME+'GOODS-N')
import threedhst.process_grism as proc
import threedhst
import unicorn.analysis
go.set_parameters(direct='F140W', LIMITING_MAGNITUDE=25)
threedhst.options['AXE_EDGES'] = "180,0,0,0"
threedhst.options['USE_TAXE'] = True
threedhst.plotting.USE_PLOT_GUI = False
#### Main loop for reduction
asn='G850.1-G141_asn.fits'
threedhst.options['PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/G850.1-F140W_drz.fits'
proc.reduction_script(asn_grism_file=asn)
unicorn.analysis.make_SED_plots(grism_root=asn.split('_asn.fits')[0])
go.clean_up()
def stanford():
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME + 'STANFORD')
#### Copy necessary files from PREP_FLT to DATA
os.chdir('PREP_FLT')
grism_asn = glob.glob('ISCS*G141_asn.fits')
files = glob.glob('ISCS*G141_shifts.txt')
files.extend(grism_asn)
files.extend(glob.glob('ISCS*F160W_tweak.fits'))
for file in files:
status = os.system('cp ' + file + ' ../DATA')
#shutil.copy(file, '../DATA')
os.chdir('../')
#### Initialize parameters
go.set_parameters(direct='F160W', LIMITING_MAGNITUDE=23)
#### Main loop for reduction
# threedhst.options['PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/ISCSJ1425.3+3250-F160W_drz.fits'
# proc.reduction_script(asn_grism_file='ISCSJ1425.3+3250-G141_asn.fits')
# go.clean_up()
#
# threedhst.options['PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/ISCSJ1426.5+3339-F160W_drz.fits'
# proc.reduction_script(asn_grism_file='ISCSJ1426.5+3339-G141_asn.fits')
# go.clean_up()
threedhst.options[
'PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/ISCSJ1429.2+3357-F160W_drz.fits'
proc.reduction_script(asn_grism_file='ISCSJ1429.2+3357-G141_asn.fits')
go.clean_up()
threedhst.options[
'PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/ISCSJ1429.3+3437-F160W_drz.fits'
proc.reduction_script(asn_grism_file='ISCSJ1429.3+3437-G141_asn.fits')
go.clean_up()
threedhst.options[
'PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/ISCSJ1431.1+3459-F160W_drz.fits'
proc.reduction_script(asn_grism_file='ISCSJ1431.1+3459-G141_asn.fits')
go.clean_up()
threedhst.options[
'PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/ISCSJ1432.4+3250-F160W_drz.fits'
proc.reduction_script(asn_grism_file='ISCSJ1432.4+3250-G141_asn.fits')
go.clean_up()
threedhst.options[
'PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/ISCSJ1434.5+3427-F160W_drz.fits'
proc.reduction_script(asn_grism_file='ISCSJ1434.5+3427-G141_asn.fits')
go.clean_up()
def stanford():
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME+'STANFORD')
#### Copy necessary files from PREP_FLT to DATA
os.chdir('PREP_FLT')
grism_asn = glob.glob('ISCS*G141_asn.fits')
files=glob.glob('ISCS*G141_shifts.txt')
files.extend(grism_asn)
files.extend(glob.glob('ISCS*F160W_tweak.fits'))
for file in files:
status = os.system('cp '+file+' ../DATA')
#shutil.copy(file, '../DATA')
os.chdir('../')
#### Initialize parameters
go.set_parameters(direct='F160W', LIMITING_MAGNITUDE=23)
#### Main loop for reduction
# threedhst.options['PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/ISCSJ1425.3+3250-F160W_drz.fits'
# proc.reduction_script(asn_grism_file='ISCSJ1425.3+3250-G141_asn.fits')
# go.clean_up()
#
# threedhst.options['PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/ISCSJ1426.5+3339-F160W_drz.fits'
# proc.reduction_script(asn_grism_file='ISCSJ1426.5+3339-G141_asn.fits')
# go.clean_up()
threedhst.options['PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/ISCSJ1429.2+3357-F160W_drz.fits'
proc.reduction_script(asn_grism_file='ISCSJ1429.2+3357-G141_asn.fits')
go.clean_up()
threedhst.options['PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/ISCSJ1429.3+3437-F160W_drz.fits'
proc.reduction_script(asn_grism_file='ISCSJ1429.3+3437-G141_asn.fits')
go.clean_up()
threedhst.options['PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/ISCSJ1431.1+3459-F160W_drz.fits'
proc.reduction_script(asn_grism_file='ISCSJ1431.1+3459-G141_asn.fits')
go.clean_up()
threedhst.options['PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/ISCSJ1432.4+3250-F160W_drz.fits'
proc.reduction_script(asn_grism_file='ISCSJ1432.4+3250-G141_asn.fits')
go.clean_up()
threedhst.options['PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/ISCSJ1434.5+3427-F160W_drz.fits'
proc.reduction_script(asn_grism_file='ISCSJ1434.5+3427-G141_asn.fits')
go.clean_up()
def cosmos():
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME + 'COSMOS')
#### Copy necessary files from PREP_FLT to DATA
os.chdir('PREP_FLT')
grism_asn = glob.glob('COSMOS-[0-9]*-G141_asn.fits')
files = glob.glob('COSMOS-[0-9]*-G141_shifts.txt')
files.extend(grism_asn)
files.extend(glob.glob('COSMOS-[0-9]*-F140W_tweak.fits'))
for file in files:
status = os.system('cp ' + file + ' ../DATA')
#shutil.copy(file, '../DATA')
os.chdir('../')
#### Initialize parameters
go.set_parameters(direct='F140W', LIMITING_MAGNITUDE=25.5)
#threedhst.options['DRZRESOLA'] = '100.0'
grism_asn = grism_asn
#### Main loop for reduction
for i in range(len(grism_asn))[0:]:
asn = grism_asn[i]
threedhst.options[
'PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/' + asn.replace(
'G141_asn', 'F140W_drz')
# threedhst.options['PIXFRAC'] = 0.8
# threedhst.options['DRZRESOLA'] = '35'
# threedhst.options['DRZSCALE'] = '0.10'
#### Images for a better fluxcube
root = asn.replace('_asn.fits', '')
threedhst.options['OTHER_BANDS'] = []
# for wave in [1.1e4,1.25e4,1.6e4]:
# out = unicorn.analysis.make_fluximage(grism_root=root,
# wavelength=wave)
# threedhst.options['OTHER_BANDS'].append([os.path.basename(out), 'F%03dW' %(wave/100), wave/10., 26.46])
proc.reduction_script(asn_grism_file=asn)
unicorn.analysis.make_SED_plots(grism_root=asn.split('_asn.fits')[0])
go.clean_up()
def sn_primo():
from pyraf import iraf
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME + 'SN-PRIMO')
#### Copy necessary files from PREP_FLT to DATA
os.chdir('PREP_FLT')
grism_asn = glob.glob('PRIMO-1???-G141_asn.fits')
files = glob.glob('PRIMO-1???-G141_shifts.txt')
files.extend(grism_asn)
files.append('PRIMO-1026-F160W_tweak.fits')
for file in files:
status = os.system('cp ' + file + ' ../DATA')
#shutil.copy(file, '../DATA')
try:
iraf.imcopy(
'/Users/gbrammer/CANDELS/GOODS-S/PREP_FLT/PRIMO-F125W_drz.fits[1]',
'../DATA/f125w.fits')
except:
os.remove('../DATA/f125w.fits')
iraf.imcopy(
'/Users/gbrammer/CANDELS/GOODS-S/PREP_FLT/PRIMO-F125W_drz.fits[1]',
'../DATA/f125w.fits')
os.chdir('../')
#### Initialize parameters
go.set_parameters(direct='F160W', LIMITING_MAGNITUDE=26)
#### Main loop for reduction
for i, asn in enumerate(grism_asn):
threedhst.options[
'PREFAB_DIRECT_IMAGE'] = '/Users/gbrammer/CANDELS/GOODS-S/PREP_FLT/PRIMO-F160W_drz.fits'
threedhst.options['OTHER_BANDS'] = [[
'f125w.fits', 'F125W', 1248.6, 26.25
]]
proc.reduction_script(asn_grism_file=asn)
unicorn.analysis.make_SED_plots(grism_root=asn.split('_asn.fits')[0])
go.clean_up()
def cosmos():
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME+'COSMOS')
#### Copy necessary files from PREP_FLT to DATA
os.chdir('PREP_FLT')
grism_asn = glob.glob('COSMOS-[0-9]*-G141_asn.fits')
files=glob.glob('COSMOS-[0-9]*-G141_shifts.txt')
files.extend(grism_asn)
files.extend(glob.glob('COSMOS-[0-9]*-F140W_tweak.fits'))
for file in files:
status = os.system('cp '+file+' ../DATA')
#shutil.copy(file, '../DATA')
os.chdir('../')
#### Initialize parameters
go.set_parameters(direct='F140W', LIMITING_MAGNITUDE=25.5)
#threedhst.options['DRZRESOLA'] = '100.0'
grism_asn = grism_asn
#### Main loop for reduction
for i in range(len(grism_asn))[0:]:
asn = grism_asn[i]
threedhst.options['PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/' + asn.replace('G141_asn','F140W_drz')
# threedhst.options['PIXFRAC'] = 0.8
# threedhst.options['DRZRESOLA'] = '35'
# threedhst.options['DRZSCALE'] = '0.10'
#### Images for a better fluxcube
root=asn.replace('_asn.fits','')
threedhst.options['OTHER_BANDS'] = []
# for wave in [1.1e4,1.25e4,1.6e4]:
# out = unicorn.analysis.make_fluximage(grism_root=root,
# wavelength=wave)
# threedhst.options['OTHER_BANDS'].append([os.path.basename(out), 'F%03dW' %(wave/100), wave/10., 26.46])
proc.reduction_script(asn_grism_file=asn)
unicorn.analysis.make_SED_plots(grism_root=asn.split('_asn.fits')[0])
go.clean_up()
def UDF():
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME + 'UDF')
#### Copy necessary files from PREP_FLT to DATA
os.chdir('PREP_FLT')
files = []
files.extend(glob.glob('UDF-*F140W_tweak.fits'))
files.extend(glob.glob('UDF-*G141_shifts.txt'))
files.extend(glob.glob('UDF-*G141_asn.fits'))
for file in files:
status = os.system('cp ' + file + ' ../DATA')
#shutil.copy(file, '../DATA')
os.chdir('../')
### UDF
go.set_parameters(direct='F140W', LIMITING_MAGNITUDE=25)
#### Run various test combinations (Nov 9, 2011)
files = glob.glob('PREP_FLT/UDF*F140W_drz.fits')
for file in files:
threedhst.options['PREFAB_DIRECT_IMAGE'] = '../' + file
proc.reduction_script(asn_grism_file=os.path.basename(file).replace(
'F140W_drz', 'G141_asn'))
unicorn.analysis.make_SED_plots(grism_root=os.path.basename(
file).replace('F140W_drz.fits', 'G141'))
go.clean_up()
#threedhst.options['OTHER_BANDS'] = [['../PREP_FLT/udf-candels-f125w.fits', 'F125W' , 1248.6, 26.25], ['../PREP_FLT/udf-candels-f160w.fits', 'F160W' , 1537.6, 25.96]]
#### Use a detection image that has the candels imaging filling in the perimeter
#### of the 3D-HST pointing
threedhst.options[
'PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/UDF-fill-F140W_drz.fits'
proc.reduction_script(asn_grism_file='UDF-G141_asn.fits')
unicorn.analysis.make_SED_plots(grism_root='UDF-G141')
go.clean_up()
def sn_marshall():
"""
"""
from pyraf import iraf
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME + 'SN-MARSHALL')
#### Copy necessary files from PREP_FLT to DATA
os.chdir('PREP_FLT')
grism_asn = glob.glob('MARSHALL-2??-G141_asn.fits')
files = glob.glob('MARSHALL-2*-G141_shifts.txt')
files.extend(grism_asn)
for file in files:
status = os.system('cp ' + file + ' ../DATA')
#shutil.copy(file, '../DATA')
try:
iraf.imcopy('MARSHALL-F125W_drz.fits[1]', '../DATA/f125w_sci.fits')
except:
os.remove('../DATA/f125w_sci.fits')
iraf.imcopy('MARSHALL-F125W_drz.fits[1]', '../DATA/f125w_sci.fits')
os.chdir('../')
#### Initialize parameters
go.set_parameters(direct='F160W', LIMITING_MAGNITUDE=26)
threedhst.options[
'PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/MARSHALL-F160W_drz.fits'
threedhst.options['OTHER_BANDS'] = [[
'f125w_sci.fits', 'F125W', 1248.6, 26.25
]]
#### Main loop for reduction
for i in range(len(grism_asn)):
asn = grism_asn[i]
proc.reduction_script(asn_grism_file=asn)
unicorn.analysis.make_SED_plots(grism_root=asn.split('_asn.fits')[0])
go.clean_up()
def uds():
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME + 'UDS')
#### Copy necessary files from PREP_FLT to DATA
os.chdir('PREP_FLT')
grism_asn = glob.glob('UDS-[0-9]*-G141_asn.fits')
files = glob.glob('UDS-[0-9]*-G141_shifts.txt')
files.extend(grism_asn)
files.extend(glob.glob('UDS-[0-9]*-F140W_tweak.fits'))
for file in files:
status = os.system('cp ' + file + ' ../DATA')
#shutil.copy(file, '../DATA')
os.chdir('../')
#### Initialize parameters
go.set_parameters(direct='F140W', LIMITING_MAGNITUDE=23.5)
#### Main loop for reduction
threedhst.options[
'PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/UDS-5-F140W_drz.fits'
proc.reduction_script(asn_grism_file='UDS-5-G141_asn.fits')
unicorn.analysis.make_SED_plots(grism_root='UDS-5-G141')
go.clean_up()
threedhst.options[
'PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/UDS-23-F140W_drz.fits'
proc.reduction_script(asn_grism_file='UDS-23-G141_asn.fits')
unicorn.analysis.make_SED_plots(grism_root='UDS-23-G141')
go.clean_up()
go.set_parameters(direct='F140W', LIMITING_MAGNITUDE=26)
threedhst.options[
'PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/UDS-18-F140W_drz.fits'
proc.reduction_script(asn_grism_file='UDS-18-G141_asn.fits')
unicorn.analysis.make_SED_plots(grism_root='UDS-18-G141')
go.clean_up()
def sn_marshall():
"""
"""
from pyraf import iraf
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME+'SN-MARSHALL')
#### Copy necessary files from PREP_FLT to DATA
os.chdir('PREP_FLT')
grism_asn = glob.glob('MARSHALL-2??-G141_asn.fits')
files=glob.glob('MARSHALL-2*-G141_shifts.txt')
files.extend(grism_asn)
for file in files:
status = os.system('cp '+file+' ../DATA')
#shutil.copy(file, '../DATA')
try:
iraf.imcopy('MARSHALL-F125W_drz.fits[1]', '../DATA/f125w_sci.fits')
except:
os.remove('../DATA/f125w_sci.fits')
iraf.imcopy('MARSHALL-F125W_drz.fits[1]', '../DATA/f125w_sci.fits')
os.chdir('../')
#### Initialize parameters
go.set_parameters(direct='F160W', LIMITING_MAGNITUDE=26)
threedhst.options['PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/MARSHALL-F160W_drz.fits'
threedhst.options['OTHER_BANDS'] = [['f125w_sci.fits', 'F125W' , 1248.6, 26.25]]
#### Main loop for reduction
for i in range(len(grism_asn)):
asn = grism_asn[i]
proc.reduction_script(asn_grism_file=asn)
unicorn.analysis.make_SED_plots(grism_root=asn.split('_asn.fits')[0])
go.clean_up()
def UDF():
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME+'UDF')
#### Copy necessary files from PREP_FLT to DATA
os.chdir('PREP_FLT')
files = []
files.extend(glob.glob('UDF-*F140W_tweak.fits'))
files.extend(glob.glob('UDF-*G141_shifts.txt'))
files.extend(glob.glob('UDF-*G141_asn.fits'))
for file in files:
status = os.system('cp '+file+' ../DATA')
#shutil.copy(file, '../DATA')
os.chdir('../')
### UDF
go.set_parameters(direct='F140W', LIMITING_MAGNITUDE=25)
#### Run various test combinations (Nov 9, 2011)
files = glob.glob('PREP_FLT/UDF*F140W_drz.fits')
for file in files:
threedhst.options['PREFAB_DIRECT_IMAGE'] = '../'+file
proc.reduction_script(asn_grism_file= os.path.basename(file).replace('F140W_drz', 'G141_asn'))
unicorn.analysis.make_SED_plots(grism_root=os.path.basename(file).replace('F140W_drz.fits','G141'))
go.clean_up()
#threedhst.options['OTHER_BANDS'] = [['../PREP_FLT/udf-candels-f125w.fits', 'F125W' , 1248.6, 26.25], ['../PREP_FLT/udf-candels-f160w.fits', 'F160W' , 1537.6, 25.96]]
#### Use a detection image that has the candels imaging filling in the perimeter
#### of the 3D-HST pointing
threedhst.options['PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/UDF-fill-F140W_drz.fits'
proc.reduction_script(asn_grism_file='UDF-G141_asn.fits')
unicorn.analysis.make_SED_plots(grism_root='UDF-G141')
go.clean_up()
def goods_ers():
"""
"""
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME + 'ERS')
#### Copy necessary files from PREP_FLT to DATA
os.chdir('PREP_FLT')
grism_asn = glob.glob('WFC3*-G1??_asn.fits')
files = glob.glob('WFC3*-G1??_shifts.txt')
files.extend(grism_asn)
files.extend(glob.glob('WFC3*tweak.fits'))
for file in files:
status = os.system('cp ' + file + ' ../DATA')
# try:
# iraf.imcopy('GEORGE-F125W_drz.fits[1]', '../DATA/f125w.fits')
# except:
# os.remove('f125w.fits')
# iraf.imcopy('GEORGE-F125W_drz.fits[1]', '../DATA/f125w.fits')
os.chdir('../')
#### Initialize parameters
go.set_parameters(direct='F140W', LIMITING_MAGNITUDE=25.5)
#### Run aXe
asn = 'WFC3-ERSII-G01-G141_asn.fits'
threedhst.options[
'PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/WFC3-ERSII-G01-F140W_drz.fits'
#threedhst.options['OTHER_BANDS'] = [['f125w.fits', 'F125W' , 1248.6, 26.25]]
proc.reduction_script(asn_grism_file=asn)
unicorn.analysis.make_SED_plots(grism_root=asn.split('_asn.fits')[0])
go.clean_up()
def goods_ers():
"""
"""
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME+'ERS')
#### Copy necessary files from PREP_FLT to DATA
os.chdir('PREP_FLT')
grism_asn = glob.glob('WFC3*-G1??_asn.fits')
files=glob.glob('WFC3*-G1??_shifts.txt')
files.extend(grism_asn)
files.extend(glob.glob('WFC3*tweak.fits'))
for file in files:
status = os.system('cp '+file+' ../DATA')
# try:
# iraf.imcopy('GEORGE-F125W_drz.fits[1]', '../DATA/f125w.fits')
# except:
# os.remove('f125w.fits')
# iraf.imcopy('GEORGE-F125W_drz.fits[1]', '../DATA/f125w.fits')
os.chdir('../')
#### Initialize parameters
go.set_parameters(direct='F140W', LIMITING_MAGNITUDE=25.5)
#### Run aXe
asn = 'WFC3-ERSII-G01-G141_asn.fits'
threedhst.options['PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/WFC3-ERSII-G01-F140W_drz.fits'
#threedhst.options['OTHER_BANDS'] = [['f125w.fits', 'F125W' , 1248.6, 26.25]]
proc.reduction_script(asn_grism_file=asn)
unicorn.analysis.make_SED_plots(grism_root=asn.split('_asn.fits')[0])
go.clean_up()
def uds():
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME+'UDS')
#### Copy necessary files from PREP_FLT to DATA
os.chdir('PREP_FLT')
grism_asn = glob.glob('UDS-[0-9]*-G141_asn.fits')
files=glob.glob('UDS-[0-9]*-G141_shifts.txt')
files.extend(grism_asn)
files.extend(glob.glob('UDS-[0-9]*-F140W_tweak.fits'))
for file in files:
status = os.system('cp '+file+' ../DATA')
#shutil.copy(file, '../DATA')
os.chdir('../')
#### Initialize parameters
go.set_parameters(direct='F140W', LIMITING_MAGNITUDE=23.5)
#### Main loop for reduction
threedhst.options['PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/UDS-5-F140W_drz.fits'
proc.reduction_script(asn_grism_file='UDS-5-G141_asn.fits')
unicorn.analysis.make_SED_plots(grism_root='UDS-5-G141')
go.clean_up()
threedhst.options['PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/UDS-23-F140W_drz.fits'
proc.reduction_script(asn_grism_file='UDS-23-G141_asn.fits')
unicorn.analysis.make_SED_plots(grism_root='UDS-23-G141')
go.clean_up()
go.set_parameters(direct='F140W', LIMITING_MAGNITUDE=26)
threedhst.options['PREFAB_DIRECT_IMAGE'] = '../PREP_FLT/UDS-18-F140W_drz.fits'
proc.reduction_script(asn_grism_file='UDS-18-G141_asn.fits')
unicorn.analysis.make_SED_plots(grism_root='UDS-18-G141')
go.clean_up()
def sn_primo():
from pyraf import iraf
import unicorn.go_3dhst as go
import threedhst.process_grism as proc
import unicorn.analysis
os.chdir(unicorn.GRISM_HOME+'SN-PRIMO')
#### Copy necessary files from PREP_FLT to DATA
os.chdir('PREP_FLT')
grism_asn = glob.glob('PRIMO-1???-G141_asn.fits')
files=glob.glob('PRIMO-1???-G141_shifts.txt')
files.extend(grism_asn)
files.append('PRIMO-1026-F160W_tweak.fits')
for file in files:
status = os.system('cp '+file+' ../DATA')
#shutil.copy(file, '../DATA')
try:
iraf.imcopy('/Users/gbrammer/CANDELS/GOODS-S/PREP_FLT/PRIMO-F125W_drz.fits[1]', '../DATA/f125w.fits')
except:
os.remove('../DATA/f125w.fits')
iraf.imcopy('/Users/gbrammer/CANDELS/GOODS-S/PREP_FLT/PRIMO-F125W_drz.fits[1]', '../DATA/f125w.fits')
os.chdir('../')
#### Initialize parameters
go.set_parameters(direct='F160W', LIMITING_MAGNITUDE=26)
#### Main loop for reduction
for i, asn in enumerate(grism_asn):
threedhst.options['PREFAB_DIRECT_IMAGE'] = '/Users/gbrammer/CANDELS/GOODS-S/PREP_FLT/PRIMO-F160W_drz.fits'
threedhst.options['OTHER_BANDS'] = [['f125w.fits', 'F125W' , 1248.6, 26.25]]
proc.reduction_script(asn_grism_file=asn)
unicorn.analysis.make_SED_plots(grism_root=asn.split('_asn.fits')[0])
go.clean_up()
