def main(flg_fig):
# Init
if flg_fig == 'all':
flg_fig = np.sum( np.array( [2**ii for ii in range(1)] )) # Skipping fig_chk_nhi
else:
flg_fig = int(flg_fig)
# COS-Dwarf Images
if (flg_fig % 2**1) >= 2**0:
fig_cos_dwarfs_images()
# LRG finder
if (flg_fig % 2**2) >= 2**1:
# LRG Finder (out of order to avoid PDF issues)
coord = xra.to_coord( (176.1888,7.24901) )
finder.main(['LRG', coord], imsize=1.*u.arcmin, show_circ=False)
# z~1 QPQ finder
if (flg_fig % 2**3) >= 2**2:
# LRG Finder (out of order to avoid PDF issues)
coord = xra.to_coord( (26.62542, 0.25583))
finder.main(['z1QPQ', coord], imsize=1.*u.arcmin, show_circ=False)
# All Halos
if (flg_fig % 2**4) >= 2**3:
fig_all_halo_images()
def __init__(self,
gal_ra,
gal_dec,
gal_z,
bg_ra,
bg_dec,
bg_z,
cosmo=None,
verbose=False):
# Galaxy
self.galaxy = Galaxy(gal_ra, gal_dec, z=gal_z)
# Name
self.name = (
'CGM' +
self.galaxy.coord.ra.to_string(unit=u.hour, sep='', pad=True) +
self.galaxy.coord.dec.to_string(sep='', pad=True, alwayssign=True))
# Absorption system
self.abs_sys = CGMAbs()
self.abs_sys.coord = xra.to_coord((bg_ra, bg_dec)) # Background source
self.abs_sys.zem = bg_z
# Calcualte rho
if cosmo is None:
from astropy.cosmology import WMAP9 as cosmo
if verbose is True:
print('cgm.core: Using WMAP9 cosmology')
ang_sep = self.abs_sys.coord.separation(self.galaxy.coord).to('arcmin')
kpc_amin = cosmo.kpc_comoving_per_arcmin(
self.galaxy.z) # kpc per arcmin
self.rho = ang_sep * kpc_amin / (1 + self.galaxy.z) # Physical
def __init__(self, ra, dec, z=None):
self.z = z
# Coord
self.coord = xra.to_coord( (ra,dec) )
# Name
self.name = ('J'+
self.coord.ra.to_string(unit=u.hour,sep='',pad=True)+
self.coord.dec.to_string(sep='',pad=True,alwayssign=True))
def __getitem__(self,k):
''' Passback a SdssQso object
k: Input to get_qso
'''
from xastropy.sdss.qso import SdssQso
row = self.get_qso(k)
if row is None:
return None
# Generate SdssQso
qso = SdssQso(z=row['Z'][0],database=self)
qso.coord = xor.to_coord((row['RAOBJ'][0]*u.deg,row['DECOBJ'][0]*u.deg))
# Return
return qso
def __init__(self, name, radec, cosmo=None,
verbose=False):
# Field
self.name = name
self.coord = xra.to_coord(radec)
# Cosmology
if cosmo is None:
from astropy.cosmology import WMAP9 as cosmo
if verbose is True:
print('IgmGalxyField: Using WMAP9 cosmology')
self.cosmo = cosmo
# Init
self.igm = None
self.targets = None
self.galaxies = None
self.observing = None
def __init__(self, gal_ra, gal_dec, gal_z, bg_ra, bg_dec, bg_z,
cosmo=None, verbose=False):
# Galaxy
self.galaxy = Galaxy(gal_ra, gal_dec, z=gal_z)
# Name
self.name = ('CGM'+
self.galaxy.coord.ra.to_string(unit=u.hour,sep='',pad=True)+
self.galaxy.coord.dec.to_string(sep='',pad=True,alwayssign=True))
# Absorption system
self.abs_sys = CGMAbs()
self.abs_sys.coord = xra.to_coord( (bg_ra,bg_dec) ) # Background source
self.abs_sys.zem = bg_z
# Calcualte rho
if cosmo is None:
from astropy.cosmology import WMAP9 as cosmo
if verbose is True:
print('cgm.core: Using WMAP9 cosmology')
ang_sep = self.abs_sys.coord.separation(self.galaxy.coord).to('arcmin')
kpc_amin = cosmo.kpc_comoving_per_arcmin( self.galaxy.z ) # kpc per arcmin
self.rho = ang_sep * kpc_amin / (1+self.galaxy.z) # Physical
def deimos_targets(field, path=None):
'''Generate files related to DEIMOS deimos_targets
Parameters:
-----------
field: tuple
(Name, ra, dec)
Returns:
----------
'''
if path is None:
path = '/Galx_Spectra/DEIMOS/'
# Loop on Fields
mask_path = field[0] + path + '/Masks/'
# SExtractor targeting
targetting_file = glob.glob(mask_path + '*targ.yaml')
if len(targetting_file) == 1:
sex_targ = parse_sex_file(field, targetting_file[0])
sex_targ.add_column(Column(['DEIMOS'] * len(sex_targ), name='INSTR'))
# Setup for mask matching
sex_coord = SkyCoord(ra=sex_targ['TARG_RA'] * u.deg,
dec=sex_targ['TARG_DEC'] * u.deg)
sex_msk_clms = {}
cnames = ['MASK_NAME', 'MASK_ID']
smsk = '--'
msk_val = [smsk] * len(cnames)
for kk, cname in enumerate(cnames):
sex_msk_clms[cname] = [msk_val[kk]] * len(sex_targ)
elif len(targetting_file) == 0:
print(
'WARNING: No SExtractor info for mask path {:s}'.format(mask_path))
xdb.set_trace()
sex_targ = None
else:
raise ValueError('Found multiple targ.yaml files!!')
# Mask info
all_masks = []
all_masktarg = []
all_obs = []
files = glob.glob(mask_path + '*.out')
for msk_file in files:
print('Reading DEIMOS mask file: {:s}'.format(msk_file))
# Parse
mask_dict, targ_tab, obs_tab = parse_deimos_mask_file(msk_file)
# Fill up SEx file
if sex_targ is not None:
for targ in targ_tab:
targ_coord = xra.to_coord((targ['RAS'], targ['DECS']))
sep = targ_coord.separation(sex_coord)
isep = np.argmin(sep)
if sep[isep] > 0.5 * u.arcsec:
raise ValueError('No match in SExtractor?!')
else: # Fill
if sex_msk_clms['MASK_NAME'][isep] == smsk:
sex_msk_clms['MASK_NAME'][isep] = mask_dict[
'MASK_NAME']
else: # Already full
sex_targ.add_row(sex_targ[isep])
sex_msk_clms['MASK_NAME'].append(
mask_dict['MASK_NAME'])
# Append
all_masks.append(mask_dict)
all_masktarg.append(targ_tab)
all_obs.append(obs_tab)
# Add columns to sex_targ
for tt, cname in enumerate(cnames):
# Mask
mask = np.array([False] * len(sex_targ))
bad = np.where(np.array(sex_msk_clms[cname]) == msk_val[tt])[0]
if len(bad) > 0:
mask[bad] = True
#
clm = MaskedColumn(sex_msk_clms[cname], name=cname, mask=mask)
sex_targ.add_column(clm)
# Return
return sex_targ, all_masks, all_obs, all_masktarg
def test_tocoord():
from astropy.coordinates import SkyCoord
radec = x_r.stod1('J103138.87+255902.3')
coord = x_r.to_coord(radec)
#
assert isinstance(coord,SkyCoord)
def test_tocoord():
from astropy.coordinates import SkyCoord
radec = x_r.stod1('J103138.87+255902.3')
coord = x_r.to_coord(radec)
#
assert isinstance(coord, SkyCoord)
def deimos_targets(field, obs_path, deimos_path=None):
"""Generate files related to DEIMOS deimos_targets
Parameters:
-----------
field : tuple
(Name, ra, dec)
Returns:
----------
sex_targ, all_masks, all_obs, all_masktarg
"""
if deimos_path is None:
deimos_path = '/Galx_Spectra/DEIMOS/'
# Loop on Fields
mask_path = obs_path+field[0]+deimos_path+'/Masks/'
# SExtractor targeting
targetting_file = glob.glob(mask_path+'*targ.yaml')
if len(targetting_file) == 1:
sex_targ = parse_sex_file(field, targetting_file[0])
sex_targ.add_column(Column(['DEIMOS']*len(sex_targ),name='INSTR'))
# Setup for mask matching
sex_coord = SkyCoord(ra=sex_targ['TARG_RA']*u.deg,
dec=sex_targ['TARG_DEC']*u.deg)
sex_msk_clms = {}
cnames = ['MASK_NAME', 'MASK_ID']
smsk = '--'
msk_val = [smsk]*len(cnames)
for kk,cname in enumerate(cnames):
sex_msk_clms[cname] = [msk_val[kk]]*len(sex_targ)
elif len(targetting_file) == 0:
print('WARNING: No SExtractor info for mask path {:s}'.format(mask_path))
print('Assuming no DEIMOS files')
return [None]*4
#sex_targ = None
else:
raise ValueError('Found multiple targ.yaml files!!')
# Mask info
all_masks = []
all_masktarg = []
all_obs = []
files = glob.glob(mask_path+'*.out')
for msk_file in files:
print('Reading DEIMOS mask file: {:s}'.format(msk_file))
# Parse
mask_dict, targ_tab, obs_tab = parse_deimos_mask_file(msk_file)
# Fill up SEx file
if sex_targ is not None:
for targ in targ_tab:
targ_coord = xra.to_coord((targ['RAS'], targ['DECS']))
sep = targ_coord.separation(sex_coord)
isep = np.argmin(sep)
if sep[isep] > 0.5*u.arcsec:
raise ValueError('No match in SExtractor?!')
else: # Fill
if sex_msk_clms['MASK_NAME'][isep] == smsk:
sex_msk_clms['MASK_NAME'][isep] = mask_dict['MASK_NAME']
else: # Already full
sex_targ.add_row(sex_targ[isep])
sex_msk_clms['MASK_NAME'].append(mask_dict['MASK_NAME'])
# Append
all_masks.append(mask_dict)
all_masktarg.append(targ_tab)
all_obs.append(obs_tab)
# Add columns to sex_targ
for tt, cname in enumerate(cnames):
# Mask
mask = np.array([False]*len(sex_targ))
bad = np.where(np.array(sex_msk_clms[cname])==msk_val[tt])[0]
if len(bad)>0:
mask[bad]=True
#
clm = MaskedColumn(sex_msk_clms[cname],name=cname,mask=mask)
sex_targ.add_column(clm)
# Return
return sex_targ, all_masks, all_obs, all_masktarg
def main(inp,
survey='2r',
radec=None,
deci=None,
fpath=None,
show_circ=True,
EPOCH=0.,
DSS=None,
BW=False,
imsize=5. * astrou.arcmin,
show_spec=False,
OUT_TYPE='PDF',
show_another=None):
'''
Parameters:
---------
inp: Input
string or List of strings or List of several items
'ra_dec_list.txt' -- ASCII file with columns of Name,RA,DEC and RA,DEC are string or float (deg)
['NAME_OF_TARG', '10:31:38.87', '+25:59:02.3']
['NAME_OF_TARG', 124.24*u.deg, -23.244*u.deg]
['NAME_OF_TARG', SkyCoord]
radec: integer (0) [DEPRECATED!]
Flag indicating type of input
0 = ASCII file with columns of Name,RA,DEC and RA,DEC are string or float (deg)
1 = List of string ['Name', 'RA', 'DEC']
2 = ['Name', ra_deg, dec_deg]
BW: bool (False)
B&W image?
show_circ: bool (True)
Show a yellow circle on the target
show_another : tuple, optional
RA,DEC for another target to circle (e.g. offset star)
show_spec: bool (False)
Try to grab and show an SDSS spectrum
imsize: Quantity, optional
Image size
OUT_TYPE: str, optional
File type -- 'PDF', 'PNG'
'''
reload(x_r)
reload(xgs)
import matplotlib.pyplot as plt
import matplotlib.cm as cm
# Init
if fpath is None:
fpath = './'
try:
imsize = imsize.to('arcmin').value
except AttributeError:
raise AttributeError('finder: Input imsize needs to be an Angle')
cradius = imsize / 50.
# Read in the Target list
if isinstance(inp, basestring):
raise NotImplementedError("No longer implemented")
#ra_tab = get_coord(targ_file, radec=radec)
else:
ira_tab = {}
ira_tab['Name'] = inp[0]
if isinstance(inp[1], basestring):
ra, dec = x_r.stod1((inp[1], inp[2]))
ira_tab['RA'] = ra
ira_tab['DEC'] = dec
elif isinstance(inp[1], float):
ira_tab['RA'] = inp[1] * astrou.deg
ira_tab['DEC'] = inp[2] * astrou.deg
elif isinstance(inp[1], SkyCoord):
ira_tab['RA'] = inp[1].ra.deg
ira_tab['DEC'] = inp[1].dec.deg
else: # Should check it is a Quantity
ira_tab['RA'] = inp[1]
ira_tab['DEC'] = inp[2]
# Strings
ras, decs = x_r.dtos1((ira_tab['RA'], ira_tab['DEC']))
ira_tab['RAS'] = ras
ira_tab['DECS'] = decs
# Make a list
ra_tab = [ira_tab]
# Grab ra, dec in decimal degrees
if deci is not None:
return
#xdb.set_trace()
#x_r.stod(ra_tab) #ra_tab['RA'][q], ra_tab['DEC'][q], TABL)
# Precess (as necessary)
if EPOCH > 1000.:
from astropy import units as u
from astropy.coordinates import FK5
from astropy.time import Time
# Precess to 2000.
tEPOCH = Time(EPOCH, format='jyear', scale='utc')
# Load into astropy
fk5c = FK5(ra=ra_tab['RA'],
dec=ra_tab['DEC'],
equinox=tEPOCH,
unit=(u.degree, u.degree))
# Precess
newEPOCH = Time(2000., format='jyear', scale='utc')
newfk5 = fk5c.precess_to(newEPOCH)
# Save
ra_tab['RA'] = newfk5.ra.degree
ra_tab['DEC'] = newfk5.dec.degree
# Strings too?
ra_tab['RAS'] = str(newfk5.ra.to_string(unit=u.hour, sep=':'))
ra_tab['DECS'] = str(newfk5.dec.to_string(unit=u.hour, sep=':'))
##
# Main Loop
for obj in ra_tab:
# Outfil
nm = "".join(obj['Name'].split())
if OUT_TYPE == 'PNG':
outfil = fpath + nm + '.png'
else:
outfil = fpath + nm + '.pdf'
print(outfil)
# Grab the Image
reload(xgs)
img, oBW = xgs.getimg(obj['RA'], obj['DEC'], imsize, BW=BW, DSS=DSS)
# Generate the plot
plt.clf()
fig = plt.figure(dpi=1200)
fig.set_size_inches(8.0, 10.5)
# Font
plt.rcParams['font.family'] = 'times new roman'
ticks_font = matplotlib.font_manager.FontProperties(
family='times new roman',
style='normal',
size=16,
weight='normal',
stretch='normal')
ax = plt.gca()
for label in ax.get_yticklabels():
label.set_fontproperties(ticks_font)
for label in ax.get_xticklabels():
label.set_fontproperties(ticks_font)
# Image
if oBW == 1:
cmm = cm.Greys_r
else:
cmm = None
plt.imshow(img,
cmap=cmm,
aspect='equal',
extent=(-imsize / 2., imsize / 2, -imsize / 2., imsize / 2))
# Axes
plt.xlim(-imsize / 2., imsize / 2.)
plt.ylim(-imsize / 2., imsize / 2.)
# Label
plt.xlabel('Relative ArcMin', fontsize=20)
xpos = 0.12 * imsize
ypos = 0.02 * imsize
plt.text(-imsize / 2. - xpos, 0., 'EAST', rotation=90., fontsize=20)
plt.text(0.,
imsize / 2. + ypos,
'NORTH',
fontsize=20,
horizontalalignment='center')
#import pdb; pdb.set_trace()
# Circle
if show_circ:
circle = plt.Circle((0, 0), cradius, color='y', fill=False)
plt.gca().add_artist(circle)
# Second Circle
if show_another is not None:
# Coordinates
cobj = x_r.to_coord((obj['RA'], obj['DEC']))
canother = x_r.to_coord(show_another)
# Offsets
off, PA = x_r.offsets(cobj, canother)
xanother = -1 * off[0].to('arcmin').value
yanother = off[1].to('arcmin').value
square = matplotlib.patches.Rectangle(
(xanother - cradius, yanother - cradius),
cradius * 2,
cradius * 2,
color='cyan',
fill=False)
plt.gca().add_artist(square)
plt.text(0.5,
1.24,
str(nm),
fontsize=32,
horizontalalignment='center',
transform=ax.transAxes)
plt.text(0.5,
1.18,
'RA (J2000) = ' + str(obj['RAS']) + ' DEC (J2000) = ' +
str(obj['DECS']),
fontsize=22,
horizontalalignment='center',
transform=ax.transAxes)
plt.text(0.5,
1.12,
'RA(offset) = {:s} DEC(offset) = {:s}'.format(
canother.ra.to_string(unit=astrou.hour,
pad=True,
sep=':',
precision=2),
canother.dec.to_string(pad=True,
alwayssign=True,
sep=':',
precision=1)),
fontsize=22,
horizontalalignment='center',
transform=ax.transAxes,
color='blue')
plt.text(
0.5,
1.06,
'RA(offset to obj) = {:g} DEC(offset to obj) = {:g}'.format(
-1 * off[0].to('arcsec'), -1 * off[1].to('arcsec')),
fontsize=18,
horizontalalignment='center',
transform=ax.transAxes)
else:
# Title
plt.text(0.5,
1.24,
str(nm),
fontsize=32,
horizontalalignment='center',
transform=ax.transAxes)
plt.text(0.5,
1.16,
'RA (J2000) = ' + str(obj['RAS']),
fontsize=28,
horizontalalignment='center',
transform=ax.transAxes)
plt.text(0.5,
1.10,
'DEC (J2000) = ' + str(obj['DECS']),
fontsize=28,
horizontalalignment='center',
transform=ax.transAxes)
# Spectrum??
if show_spec:
spec_img = xgs.get_spec_img(obj['RA'], obj['DEC'])
plt.imshow(spec_img,
extent=(-imsize / 2.1, imsize * (-0.1), -imsize / 2.1,
imsize * (-0.2)))
# Write
if show_spec:
plt.savefig(outfil, dpi=300)
else:
plt.savefig(outfil)
print 'finder: Wrote ' + outfil
plt.close()
#xdb.set_trace()
print 'finder: All done.'
return oBW
def deimos_targets(field, path=None):
"""Generate files related to DEIMOS deimos_targets
Parameters:
-----------
field: tuple
(Name, ra, dec)
Returns:
----------
"""
if path is None:
path = "/Galx_Spectra/DEIMOS/"
# Loop on Fields
mask_path = field[0] + path + "/Masks/"
# SExtractor targeting
targetting_file = glob.glob(mask_path + "*targ.yaml")
if len(targetting_file) == 1:
sex_targ = parse_sex_file(field, targetting_file[0])
sex_targ.add_column(Column(["DEIMOS"] * len(sex_targ), name="INSTR"))
# Setup for mask matching
sex_coord = SkyCoord(ra=sex_targ["TARG_RA"] * u.deg, dec=sex_targ["TARG_DEC"] * u.deg)
sex_msk_clms = {}
cnames = ["MASK_NAME", "MASK_ID"]
smsk = "--"
msk_val = [smsk] * len(cnames)
for kk, cname in enumerate(cnames):
sex_msk_clms[cname] = [msk_val[kk]] * len(sex_targ)
elif len(targetting_file) == 0:
print("WARNING: No SExtractor info for mask path {:s}".format(mask_path))
xdb.set_trace()
sex_targ = None
else:
raise ValueError("Found multiple targ.yaml files!!")
# Mask info
all_masks = []
all_masktarg = []
all_obs = []
files = glob.glob(mask_path + "*.out")
for msk_file in files:
print("Reading DEIMOS mask file: {:s}".format(msk_file))
# Parse
mask_dict, targ_tab, obs_tab = parse_deimos_mask_file(msk_file)
# Fill up SEx file
if sex_targ is not None:
for targ in targ_tab:
targ_coord = xra.to_coord((targ["RAS"], targ["DECS"]))
sep = targ_coord.separation(sex_coord)
isep = np.argmin(sep)
if sep[isep] > 0.5 * u.arcsec:
raise ValueError("No match in SExtractor?!")
else: # Fill
if sex_msk_clms["MASK_NAME"][isep] == smsk:
sex_msk_clms["MASK_NAME"][isep] = mask_dict["MASK_NAME"]
else: # Already full
sex_targ.add_row(sex_targ[isep])
sex_msk_clms["MASK_NAME"].append(mask_dict["MASK_NAME"])
# Append
all_masks.append(mask_dict)
all_masktarg.append(targ_tab)
all_obs.append(obs_tab)
# Add columns to sex_targ
for tt, cname in enumerate(cnames):
# Mask
mask = np.array([False] * len(sex_targ))
bad = np.where(np.array(sex_msk_clms[cname]) == msk_val[tt])[0]
if len(bad) > 0:
mask[bad] = True
#
clm = MaskedColumn(sex_msk_clms[cname], name=cname, mask=mask)
sex_targ.add_column(clm)
# Return
return sex_targ, all_masks, all_obs, all_masktarg
def main(inp, survey='2r', radec=None, deci=None, fpath=None, show_circ=True,
EPOCH=0., DSS=None, BW=False, imsize=5.*astrou.arcmin, show_spec=False,
OUT_TYPE='PDF', show_another=None):
'''
Parameters:
---------
inp: Input
string or List of strings or List of several items
'ra_dec_list.txt' -- ASCII file with columns of Name,RA,DEC and RA,DEC are string or float (deg)
['NAME_OF_TARG', '10:31:38.87', '+25:59:02.3']
['NAME_OF_TARG', 124.24*u.deg, -23.244*u.deg]
['NAME_OF_TARG', SkyCoord]
radec: integer (0) [DEPRECATED!]
Flag indicating type of input
0 = ASCII file with columns of Name,RA,DEC and RA,DEC are string or float (deg)
1 = List of string ['Name', 'RA', 'DEC']
2 = ['Name', ra_deg, dec_deg]
BW: bool (False)
B&W image?
show_circ: bool (True)
Show a yellow circle on the target
show_another : tuple, optional
RA,DEC for another target to circle (e.g. offset star)
show_spec: bool (False)
Try to grab and show an SDSS spectrum
imsize: Quantity, optional
Image size
OUT_TYPE: str, optional
File type -- 'PDF', 'PNG'
'''
reload(x_r)
reload(xgs)
import matplotlib.pyplot as plt
import matplotlib.cm as cm
# Init
if fpath is None:
fpath = './'
try:
imsize=imsize.to('arcmin').value
except AttributeError:
raise AttributeError('finder: Input imsize needs to be an Angle')
cradius = imsize / 50.
# Read in the Target list
if isinstance(inp,basestring):
raise NotImplementedError("No longer implemented")
#ra_tab = get_coord(targ_file, radec=radec)
else:
ira_tab = {}
ira_tab['Name'] = inp[0]
if isinstance(inp[1],basestring):
ra, dec = x_r.stod1((inp[1],inp[2]))
ira_tab['RA'] = ra
ira_tab['DEC'] = dec
elif isinstance(inp[1],float):
ira_tab['RA'] = inp[1] * astrou.deg
ira_tab['DEC'] = inp[2]* astrou.deg
elif isinstance(inp[1],SkyCoord):
ira_tab['RA'] = inp[1].ra.deg
ira_tab['DEC'] = inp[1].dec.deg
else: # Should check it is a Quantity
ira_tab['RA'] = inp[1]
ira_tab['DEC'] = inp[2]
# Strings
ras,decs = x_r.dtos1((ira_tab['RA'],ira_tab['DEC']))
ira_tab['RAS'] = ras
ira_tab['DECS'] = decs
# Make a list
ra_tab = [ira_tab]
# Grab ra, dec in decimal degrees
if deci is not None:
return
#xdb.set_trace()
#x_r.stod(ra_tab) #ra_tab['RA'][q], ra_tab['DEC'][q], TABL)
# Precess (as necessary)
if EPOCH > 1000.:
from astropy import units as u
from astropy.coordinates import FK5
from astropy.time import Time
# Precess to 2000.
tEPOCH = Time(EPOCH, format='jyear', scale='utc')
# Load into astropy
fk5c = FK5(ra=ra_tab['RA'], dec=ra_tab['DEC'], equinox=tEPOCH, unit=(u.degree,u.degree))
# Precess
newEPOCH = Time(2000., format='jyear', scale='utc')
newfk5 = fk5c.precess_to(newEPOCH)
# Save
ra_tab['RA'] = newfk5.ra.degree
ra_tab['DEC'] = newfk5.dec.degree
# Strings too?
ra_tab['RAS'] = str(newfk5.ra.to_string(unit=u.hour,sep=':'))
ra_tab['DECS'] = str(newfk5.dec.to_string(unit=u.hour,sep=':'))
##
# Main Loop
for obj in ra_tab:
# Outfil
nm = "".join(obj['Name'].split())
if OUT_TYPE=='PNG':
outfil = fpath+ nm + '.png'
else:
outfil = fpath+ nm + '.pdf'
print(outfil)
# Grab the Image
reload(xgs)
img, oBW = xgs.getimg(obj['RA'], obj['DEC'], imsize, BW=BW,DSS=DSS)
# Generate the plot
plt.clf()
fig = plt.figure(dpi=1200)
fig.set_size_inches(8.0,10.5)
# Font
plt.rcParams['font.family']= 'times new roman'
ticks_font = matplotlib.font_manager.FontProperties(family='times new roman',
style='normal', size=16, weight='normal', stretch='normal')
ax = plt.gca()
for label in ax.get_yticklabels() :
label.set_fontproperties(ticks_font)
for label in ax.get_xticklabels() :
label.set_fontproperties(ticks_font)
# Image
if oBW == 1:
cmm = cm.Greys_r
else:
cmm = None
plt.imshow(img,cmap=cmm,aspect='equal',extent=(-imsize/2., imsize/2, -imsize/2.,imsize/2))
# Axes
plt.xlim(-imsize/2., imsize/2.)
plt.ylim(-imsize/2., imsize/2.)
# Label
plt.xlabel('Relative ArcMin', fontsize=20)
xpos = 0.12*imsize
ypos = 0.02*imsize
plt.text(-imsize/2.-xpos, 0., 'EAST', rotation=90.,fontsize=20)
plt.text(0.,imsize/2.+ypos, 'NORTH', fontsize=20, horizontalalignment='center')
#import pdb; pdb.set_trace()
# Circle
if show_circ:
circle=plt.Circle((0,0),cradius,color='y', fill=False)
plt.gca().add_artist(circle)
# Second Circle
if show_another is not None:
# Coordinates
cobj = x_r.to_coord((obj['RA'],obj['DEC']))
canother = x_r.to_coord(show_another)
# Offsets
off, PA = x_r.offsets(cobj, canother)
xanother = -1*off[0].to('arcmin').value
yanother = off[1].to('arcmin').value
square=matplotlib.patches.Rectangle((xanother-cradius,
yanother-cradius),
cradius*2,cradius*2,color='cyan', fill=False)
plt.gca().add_artist(square)
plt.text(0.5, 1.24, str(nm), fontsize=32,
horizontalalignment='center',transform=ax.transAxes)
plt.text(0.5, 1.18, 'RA (J2000) = '+str(obj['RAS'])+
' DEC (J2000) = '+str(obj['DECS']), fontsize=22,
horizontalalignment='center',transform=ax.transAxes)
plt.text(0.5, 1.12, 'RA(offset) = {:s} DEC(offset) = {:s}'.format(
canother.ra.to_string(unit=astrou.hour,pad=True,sep=':', precision=2),
canother.dec.to_string(pad=True, alwayssign=True, sep=':', precision=1)),
fontsize=22, horizontalalignment='center',transform=ax.transAxes,
color='blue')
plt.text(0.5, 1.06, 'RA(offset to obj) = {:g} DEC(offset to obj) = {:g}'.format(
-1*off[0].to('arcsec'), -1*off[1].to('arcsec')),
fontsize=18, horizontalalignment='center',transform=ax.transAxes)
else:
# Title
plt.text(0.5,1.24, str(nm), fontsize=32,
horizontalalignment='center',transform=ax.transAxes)
plt.text(0.5,1.16, 'RA (J2000) = '+str(obj['RAS']), fontsize=28,
horizontalalignment='center',transform=ax.transAxes)
plt.text(0.5,1.10, 'DEC (J2000) = '+str(obj['DECS']), fontsize=28,
horizontalalignment='center',transform=ax.transAxes)
# Spectrum??
if show_spec:
spec_img = xgs.get_spec_img(obj['RA'], obj['DEC'])
plt.imshow(spec_img,extent=(-imsize/2.1, imsize*(-0.1), -imsize/2.1, imsize*(-0.2)))
# Write
if show_spec:
plt.savefig(outfil, dpi=300)
else:
plt.savefig(outfil)
print 'finder: Wrote '+outfil
plt.close()
#xdb.set_trace()
print 'finder: All done.'
return oBW
