def test_name_to_ion():
Zion = ions.name_to_ion('Si II')
assert Zion == (14, 2)
# bad input
with pytest.raises(ValueError):
aux = ions.name_to_ion(4) # not a string
# Deuterium
aux = ions.name_to_ion('DI')
def test_name_to_ion():
Zion = ions.name_to_ion('Si II')
assert Zion == (14,2)
# bad input
with pytest.raises(ValueError):
aux = ions.name_to_ion(4) # not a string
# Deuterium
aux = ions.name_to_ion('DI')
def component_tbl(self, Zion):
""" Generate a Table of line measurements for an input ion broken
down by component.
Parameters
----------
Zion : tuple or str
E.g., (8,6) or 'OVI'
Returns
-------
tbl : astropy.Table
"""
from linetools.abund.ions import name_to_ion
from linetools.isgm import utils as ltiu
from astropy.table import Table, vstack, Column
if isinstance(Zion, basestring):
Zion = name_to_ion(Zion)
newcomptab = Table()
rhos = []
names = []
for i, isys in enumerate(self.cgm_abs):
isys.igm_sys.update_component_vel()
comptab = ltiu.table_from_complist(isys.igm_sys._components)
comptab = comptab[(comptab['Z'] == Zion[0])
& (comptab['ion'] == Zion[1])]
if len(comptab) == 0:
continue
newcomptab = vstack([newcomptab, comptab])
rhos.extend([isys.rho.value] * len(comptab))
names.extend([isys.name] * len(comptab))
newcomptab.add_column(Column(names, name='cgm_name'))
newcomptab.add_column(Column(rhos * u.kpc, name='rho_impact'))
return newcomptab
def ion_tbl(self, Zion, fill_ion=True):
""" Generate a Table of Ionic column densities for an input ion
Parameters
----------
Zion : tuple or str
fill_ion : bool, optional
Fill each ionN table in the survey (a bit slow)
Returns
-------
tbl : astropy.Table
"""
from linetools.abund.ions import name_to_ion
if isinstance(Zion, basestring):
Zion = name_to_ion(Zion)
# Generate dummy IGMSurvey
dumb = GenericIGMSurvey()
names = []
for cgmabs in self.cgm_abs:
if fill_ion:
cgmabs.igm_sys.fill_ionN()
if cgmabs.igm_sys._ionN is not None:
dumb._abs_sys.append(cgmabs.igm_sys)
# Names
names.append(cgmabs.name)
# Run ions
tbl = dumb.ions(Zion)
# Add CGM name
tbl.add_column(Column(names, name='cgm_name'))
# Return
return tbl
def get_components(obj, ion, zrange=None):
"""Return list of components from AbsSystem or IGMSightline for given ion
Parameters
----------
obj : AbsSystem or IGMSightline
Object that has attribute 'Zion'
ion : tuple or str, optional
Zion tuple or ion name; e.g., (8,6) for OVI
zrange : tuple, optional
Range in redshift over which to look for components
Returns
-------
complist : list
List of components with given ion
"""
if isinstance(ion, str):
from linetools.abund.ions import name_to_ion
Zion = name_to_ion(ion)
else:
Zion = ion
if zrange is None:
complist = [comp for comp in obj._components if comp.Zion == Zion]
else:
complist = [
comp for comp in obj._components
if ((comp.Zion == Zion) & (comp.zcomp > zrange[0])
& (comp.zcomp < zrange))
]
return complist
def main(args=None):
pargs = parser(options=args)
if pargs.inp is None and pargs.all is False:
print("No option selected. Use -h for Help")
return
# Setup
from astropy import units as u
from astropy.table import Column
from linetools.lists.linelist import LineList
from linetools.abund import ions as ltai
import numpy as np
if pargs.llist in ['CO']:
cols = ['mol', 'label', 'wrest', 'f']
elif pargs.llist in ['H2']:
cols = ['mol', 'name', 'wrest', 'f']
else:
cols = ['name', 'wrest', 'f', 'A', 'Ref']
# LineList
llist = LineList(pargs.llist)
# Redshift?
if float(pargs.redshift) != 0.:
z = llist._data['wrest']*(1+float(pargs.redshift))
llist._data.add_column(Column(z, name='z'))
cols += ['z']
# All?
if pargs.all:
try:
llist._data[cols].pprint(99999)
except ValueError:
pdb.set_trace()
return
# Grab line(s)
if ustr(pargs.inp[0]).isdecimal(): # Input rest wavelength
wrest = float(pargs.inp)*u.AA
mtch = np.abs(wrest-llist.wrest) < pargs.toler*u.AA
llist._data[cols][mtch].pprint(99999)
else: # Either ion or transition
istrans = False
for jj,char in enumerate(pargs.inp):
if char.isdigit():
istrans = True
i0 = jj
break
if istrans:
trans = pargs.inp[0:i0]+' '+pargs.inp[i0:]
tdict = llist[trans]
for key,value in tdict.items():
if key in cols:
print('{:s}: {}'.format(key,value))
else: # Ion
Zion = ltai.name_to_ion(pargs.inp)
mtion = (llist.Z == Zion[0]) & (llist.ion == Zion[1])
llist._data[cols][mtion].pprint(99999)
def dict_to_ions(idict):
""" Manipulate dict into an ion astropy Table
Will likely be deprecated
Parameters
----------
idict : dict
Returns
-------
table : astropy.Table
"""
# Could probably use add_row or dict instantiation
table = None
for ion in idict.keys():
Zion = ltai.name_to_ion(ion)
if table is None:
tkeys = idict[ion].keys()
lst = [[idict[ion][tkey]] for tkey in tkeys]
table = Table(lst, names=tkeys)
# Extra columns
if 'Z' not in tkeys:
table.add_column(Column([Zion[0]], name='Z'))
table.add_column(Column([Zion[1]], name='ion'))
else:
tdict = idict[ion]
tkeys = idict[ion].keys()
if 'Z' not in tkeys:
tdict['Z'] = Zion[0]
tdict['ion'] = Zion[1]
# Add
table.add_row(tdict)
# Finish
try: # Historical keys
table.rename_column('clm', 'logN')
except:
pass
else:
table.rename_column('sig_clm', 'sig_logN')
table.rename_column('flg_clm', 'flag_N')
# Return
return table
def ion_tbl(self, Zion, fill_ion=True, vrange=None, **kwargs):
""" Generate a Table of Ionic column densities for an input ion
Parameters
----------
Zion : tuple or str
fill_ion : bool, optional
Fill each ionN table in the survey (a bit slow)
vrange : Quantity, optional
Velocity range of components to sum column densities
Returns
-------
tbl : astropy.Table
Returns None if there are no matches to input Zion
"""
from linetools.abund.ions import name_to_ion
if isinstance(Zion, basestring):
Zion = name_to_ion(Zion)
# Generate dummy IGMSurvey
dumb = GenericIGMSurvey()
names = []
rhos = []
for cgmabs in self.cgm_abs:
if fill_ion:
cgmabs.igm_sys.fill_ionN(vrange=vrange, summed_ion=True)
if cgmabs.igm_sys._ionN is not None:
dumb._abs_sys.append(cgmabs.igm_sys)
# Names
names.append(cgmabs.name)
# Impact parameters
rhos.append(cgmabs.rho.to(u.kpc).value)
# Run ions
tbl = dumb.ions(Zion, skip_null=False, **kwargs)
if tbl is None:
return None
tbl.add_column(Column(names, name='cgm_name'))
# Add impact parameter
tbl.add_column(Column(rhos * u.kpc, name='rho_impact'))
# Return
return tbl
def tripp2005():
'''Tripp, T. et al. 2005, ApJ, 2005, 619, 714
PG 1216+069 (LLS in Virgo)
HST/STIS, FUSE
Metal columns parsed from Tables 2 and 3
Total NHI from damping wings
M/H from O/H
'''
# Grab ASCII files from ApJ
tab_fils = [
pyigm_path + "/data/LLS/tripp2005.tb3.ascii",
pyigm_path + "/data/LLS/tripp2005.tb2.ascii"
]
urls = [
'http://iopscience.iop.org/0004-637X/619/2/714/fulltext/60797.tb3.txt',
'http://iopscience.iop.org/0004-637X/619/2/714/fulltext/60797.tb2.txt'
]
for jj, tab_fil in enumerate(tab_fils):
chk_fil = glob.glob(tab_fil)
if len(chk_fil) > 0:
tab_fil = chk_fil[0]
else:
url = urls[jj]
print('LLSSurvey: Grabbing table file from {:s}'.format(url))
f = urlopen(url)
with open(tab_fil, "wb") as code:
code.write(f.read())
# Setup
radec = '121920.9320+063838.476' # SIMBAD
lls = LLSSystem(name='PG1216+069_z0.006',
radec=radec,
zem=0.3313,
zabs=0.00632,
vlim=[-100., 100.] * u.km / u.s,
NHI=19.32,
ZH=-1.6,
sig_NHI=np.array([0.03, 0.03]))
# Columns
# Start with Table 3 (VPFIT)
with open(tab_fils[0], 'r') as f:
flines3 = f.readlines()
ion_dict = {}
for iline in flines3:
if (len(iline.strip()) == 0):
continue
isplit = iline.split('\t')
# Ion
flg = 2
if (len(isplit[0].strip()) > 0): # & (isplit[0][0] not in ['1','2']):
ipos = isplit[0].find('1')
ionc = isplit[0][0:ipos - 1].strip()
try:
Zion = ltai.name_to_ion(ionc)
except KeyError:
pdb.set_trace()
flg = 1
# Column
csplit = isplit[3].split(' ')
clm = float(csplit[0])
sig = float(csplit[2])
if flg == 1:
ion_dict[ionc] = dict(logN=clm,
sig_logN=sig,
flag_N=1,
Z=Zion[0],
ion=Zion[1])
else: # Add it in
tmp_dict = dict(logN=clm,
sig_logN=sig,
flag_N=1,
Z=Zion[0],
ion=Zion[1])
flagN, logN, siglogN = ltaa.sum_logN(ion_dict[ionc], tmp_dict)
ion_dict[ionc]['logN'] = logN
ion_dict[ionc]['sig_logN'] = siglogN
ions = ion_dict.keys()
# Now Table 2 for the extras
with open(tab_fils[1], 'r') as f:
flines2 = f.readlines()
# Trim the first 10 lines
flines2 = flines2[10:]
# Loop
for iline in flines2:
isplit = iline.split('\t')
#
ionc = isplit[0].strip()
if (len(ionc) == 0) or (ionc in ions):
continue
#
Zion = ltai.name_to_ion(ionc)
ion_dict[ionc] = dict(Z=Zion[0], ion=Zion[1], sig_logN=0.)
if isplit[4][0] == '<':
ion_dict[ionc]['logN'] = float(isplit[4][1:])
ion_dict[ionc]['flag_N'] = 3
else:
raise ValueError('Should not get here')
# Finish
lls._ionN = pyiau.dict_to_ions(ion_dict)
lls.Refs.append('Tri05')
return lls
def complist_from_table(table):
"""
Returns a list of AbsComponents from an input astropy.Table.
Parameters
----------
table : Table
Table with component information (each row must correspond
to a component). Each column is expecting a unit when
appropriate.
Returns
-------
complist : list
List of AbsComponents defined from the input table.
Notes
-----
Mandatory column names: 'RA', 'DEC', 'ion_name', 'z_comp', 'vmin', 'vmax'
These column are required.
Special column names: 'name', 'comment', 'logN', 'sig_logN', 'flag_logN'
These columns will fill internal attributes when corresponding.
In order to fill in the Ntuple attribute all three 'logN', 'sig_logN', 'flag_logN'
must be present. For convenience 'logN' and 'sig_logN' are expected to be floats
corresponding to their values in np.log10(1/cm^2).
Other columns: 'any_column_name'
These will be added as attributes within the AbsComponent.attrib dictionary,
with their respective units if given.
"""
# Convert to QTable to handle units in individual entries more easily
table = QTable(table)
# mandatory and optional columns
min_columns = ['RA', 'DEC', 'ion_name', 'z_comp', 'vmin', 'vmax']
special_columns = ['name', 'comment', 'logN', 'sig_logN', 'flag_logN']
for colname in min_columns:
if colname not in table.keys():
raise IOError(
'{} is a mandatory column. Please make sure your input table has it.'
.format(colname))
#loop over rows
complist = []
for row in table:
# mandatory
coord = SkyCoord(row['RA'].to('deg').value,
row['DEC'].to('deg').value,
unit='deg') # RA y DEC must both come with units
Zion = name_to_ion(row['ion_name'])
zcomp = row['z_comp']
vlim = [row['vmin'].to('km/s').value, row['vmax'].to('km/s').value
] * u.km / u.s # units are expected here too
# special columns
try:
Ntuple = (row['flag_logN'], row['logN'], row['sig_logN']
) # no units expected
except KeyError:
Ntuple = None
try:
comment = row['comment']
except KeyError:
comment = ''
try:
name = row['name']
except KeyError:
name = None
# define the component
comp = AbsComponent(coord,
Zion,
zcomp,
vlim,
Ntup=Ntuple,
comment=comment,
name=name)
# other columns will be filled in comp.attrib dict
for colname in table.keys():
if (colname not in special_columns) and (colname
not in min_columns):
kms_cols = ['b', 'sig_b']
if colname in kms_cols: # check units for parameters expected in velocity units
try:
val_aux = row[colname].to('km/s').value * u.km / u.s
except u.UnitConversionError:
raise IOError(
'If `{}` column is present, it must have velocity units.'
.format(colname))
comp.attrib[colname] = val_aux
# parameters we do not care about units much
else:
comp.attrib[colname] = row[colname]
# append
complist += [comp]
return complist
def dessauges09():
'''Dessauges-Zavadsky et al. 2009, MNRAS, 396, L96
SLLS with UVES
Zn,Fe abundances from Table 1 from astro-ph (LateX) by JXP [AODM]
Taken from the Zn/H and Fe/H assuming *no* ionization corrections
RA/DEC from the 'other' name
'''
# Solar abundances
eZn = 4.63
eFe = 7.45
sol = [eFe, eZn]
#
all_lls = []
# Table 1
tab_fil = pyigm_path + "/data/LLS/Literature/dessauges09.tb1.ascii"
with open(tab_fil, 'r') as f:
flines1 = f.readlines()
# Trim the first few lines
flines1 = flines1[3:]
for iline in flines1:
# Parse
isplit = iline.split('&')
# QSO
if iline[0:2] == 'QS':
# QSO, RA/DEC, zem
qso = isplit[0][4:].strip()
radec = isplit[1].strip()[1:].replace('$', '')
zem = float(isplit[3].strip())
# NHI, zabs
zabs = float(isplit[4].strip())
is2 = isplit[6].strip()
NHI = float(is2[1:6])
sigNHI = np.array([float(is2[10:14])] * 2)
# name
name = qso + 'z_{:.3f}'.format(zabs)
lls = LLSSystem(name=name,
radec=radec,
vlim=[-500, 500] * u.km / u.s,
zem=zem,
zabs=zabs,
NHI=NHI,
sig_NHI=sigNHI)
# ADOM Columns
ion_dict = {}
for kk, ion in enumerate(['Fe II', 'Zn II']):
Zion = ltai.name_to_ion(ion)
is2 = isplit[7 + kk].strip()
if is2[0:2] == '$>':
ion_dict[ion] = dict(sig_clm=0.,
flg_clm=2,
Z=Zion[0],
ion=Zion[1])
ion_dict[ion]['clm'] = float(is2[2:7]) + NHI - 12 + sol[kk]
elif is2[0:2] == '$<':
ion_dict[ion] = dict(sig_clm=0.,
flg_clm=3,
Z=Zion[0],
ion=Zion[1])
ion_dict[ion]['clm'] = float(is2[2:7]) + NHI - 12 + sol[kk]
elif is2[0:2] == '..':
pass
else:
ion_dict[ion] = dict(flg_clm=1, Z=Zion[0], ion=Zion[1])
ion_dict[ion]['clm'] = float(is2[1:6]) + NHI - 12 + sol[kk]
ion_dict[ion]['sig_clm'] = float(is2[10:14])
#xdb.set_trace()
# Finish
lls._ionN = pyiau.dict_to_ions(ion_dict)
lls.Refs.append('DZ09')
all_lls.append(lls)
# Return SLLS only
fin_slls = [ills for ills in all_lls if ills.NHI < 20.3]
return fin_slls
def tumlinson11():
"""Tumlinson, J. et al. 2011, ApJ, 733, 111
J1009+0713
HST/COS
Metal columns parsed from Table 1
NHI from LL+Lyman series (uncertain)
"""
# Grab ASCII file from ApJ
tab_fil = pyigm_path + "/data/LLS/Literature/tumlinson11.tb1.ascii"
url = 'http://iopscience.iop.org/0004-637X/733/2/111/suppdata/apj388927t1_ascii.txt'
chk_fil = glob.glob(tab_fil)
if len(chk_fil) > 0:
tab_fil = chk_fil[0]
else:
print('LLSSurvey: Grabbing table file from {:s}'.format(url))
f = urlopen(url)
with open(tab_fil, "wb") as code:
code.write(f.read())
# Setup
radec = '100902.06+071343.8' # From paper
lls = LLSSystem(name='J1009+0713_z0.356',
radec=radec,
zem=0.456,
zabs=0.3558,
vlim=[-200., 250.] * u.km / u.s,
NHI=18.4,
sig_NHI=np.array([0.41, 0.41]))
# Columns
# Start with Table 3 (VPFIT)
with open(tab_fil, 'r') as f:
flines1 = f.readlines()
# Trim
flines1 = flines1[18:]
#
ion_dict = {}
line_dict = dict(OI='1302',
OVI='1038',
MgII='2803^b',
SiII='1190',
CaII='3934',
FeII='2586')
ion = None
for iline in flines1:
isplit = iline.split('\t')
if ion == 'FeIII': # Last line
break
# Ion
is2 = isplit[0].split(' ')
ion = is2[0] + is2[1]
try:
gdl = line_dict[ion]
except:
pass
#print('Taking {:s}'.format(isplit[0]))
else:
if is2[2] != gdl:
continue
Zion = ltai.name_to_ion(ion)
ion_dict[ion] = dict(logN=0.,
sig_logN=0.,
flag_N=0,
Z=Zion[0],
ion=Zion[1])
# Combine components [could replace with SubSystems some day]
for iis in isplit[1:-1]:
# Upper limit
if (iis.strip()[0] == '<') & (ion_dict[ion]['flag_N'] == 0):
ion_dict[ion]['flag_N'] = 3
ion_dict[ion]['logN'] = float(iis[1:])
elif (iis.strip()[0] == '>'): # Saturated
ion_dict[ion]['flag_N'] = 2
ion_dict[ion]['logN'] = log_sum(
[ion_dict[ion]['logN'],
float(iis[1:5])])
elif iis.strip()[0] in ['.', '<']:
pass
else:
if ion_dict[ion]['flag_N'] == 2: # Add to saturated
ion_dict[ion]['logN'] = log_sum(
[ion_dict[ion]['logN'],
float(iis[0:4])])
else:
ion_dict[ion]['flag_N'] = 1
obj = dict(logN=float(iis[0:4]),
sig_logN=float(iis[-4:]),
flag_N=1)
# Add
flag, N, sig = ltaa.sum_logN(ion_dict[ion], obj)
ion_dict[ion]['logN'] = N
ion_dict[ion]['sig_logN'] = sig
# Finish
lls._ionN = pyiau.dict_to_ions(ion_dict)
lls.Refs.append('Tum11')
return lls
def meiring09():
'''Meiring et al. 2009, MNRAS, 393, 1513
SLLS with Magellan
Abundances from Table 3 from astro-ph (LateX) by JXP [AODM]
RA/DEC from Table 1
'''
all_lls = []
# Table 1
tab_fil = pyigm_path + "/data/LLS/Literature/meiring09.tb1.ascii"
with open(tab_fil, 'r') as f:
flines1 = f.readlines()
# Grab RA/DEC
qso_dict = {}
for iline in flines1:
if iline[0:3] in [' QS', '\hl', '$\\c', ' J2', ' ']:
continue
# Parse
isplit = iline.split('&')
#xdb.set_trace()
if '$' in isplit[3].strip():
isplit[3] = '-' + (isplit[3].strip())[3:]
radec = isplit[2].strip() + isplit[3].strip()
radec = radec.replace(':', '')
# zem
zem = float(isplit[5].strip())
# Save
qso_dict[isplit[0].strip()] = dict(radec=radec,
zem=zem,
vlim=[-500, 500.] * u.km / u.s)
# Abundances (AODM)
# Table 3
tab_fil = pyigm_path + "/data/LLS/Literature/meiring09.tb3.ascii"
with open(tab_fil, 'r') as f:
flines3 = f.readlines()
#
for iline in flines3:
if iline[0:2] in ['\h', ' ']:
continue
# Parse
isplit = iline.split('&')
# Ions
if iline[0:2] == 'QS':
ioncs = []
Zions = []
for iis in isplit[3:-1]: # Skipping HI
# Parse
#is2 = iis.split('\\')
#ip2 = is2[2].find('}')
ionc = iis.strip()
# Zion
Zion = ltai.name_to_ion(ionc)
# Append
ioncs.append(ionc)
Zions.append(Zion)
continue
if iline[0] == 'Q':
# QSO
qso = isplit[0].strip()
if qso[-1] in ['A', 'B', 'C']:
qso = qso[0:-1]
# zabs and name
zabs = float(isplit[1].strip())
qso_dict[qso]['name'] = qso + 'z_{:.3f}'.format(zabs)
qso_dict[qso]['zabs'] = zabs
# NHI
is2 = isplit[2].strip()
if is2[0] == '$':
qso_dict[qso]['NHI'] = 99.99 # THROW OUT Q1436-0051B
qso_dict[qso]['sig_NHI'] = np.array([0., 0.])
else:
qso_dict[qso]['NHI'] = float(is2[0:5])
qso_dict[qso]['sig_NHI'] = np.array([float(is2[10:])] * 2)
#if qso_dict[qso]['NHI'] >= 20.3:
# print('Uh oh. DLA')
# Generate LLS
lls = LLSSystem(**qso_dict[qso])
continue
else:
# ADOM Columns
ion_dict = {}
for kk, iis in enumerate(isplit[3:-1]):
is2 = iis.strip()
if is2[0:3] == '$>$':
ion_dict[ioncs[kk]] = dict(sig_clm=0.,
flg_clm=2,
Z=Zions[kk][0],
ion=Zions[kk][1])
ion_dict[ioncs[kk]]['clm'] = float(is2[3:])
elif is2[0:3] == '$<$':
ion_dict[ioncs[kk]] = dict(sig_clm=0.,
flg_clm=3,
Z=Zions[kk][0],
ion=Zions[kk][1])
ion_dict[ioncs[kk]]['clm'] = float(is2[3:])
elif len(is2) == 0:
pass
else:
ion_dict[ioncs[kk]] = dict(flg_clm=1,
Z=Zions[kk][0],
ion=Zions[kk][1])
ion_dict[ioncs[kk]]['clm'] = float(is2[0:5])
ion_dict[ioncs[kk]]['sig_clm'] = float(is2[10:])
# Finish
lls._ionN = pyiau.dict_to_ions(ion_dict)
lls.Refs.append('Mei09')
all_lls.append(lls)
# Return SLLS only
fin_slls = [ills for ills in all_lls if ills.NHI < 20.3]
return fin_slls
def meiring07():
"""Meiring et al. 2007, MNRAS, 376, 557
SLLS with Magellan
Abundances from Table 11 from astro-ph (LateX) by JXP [AODM]
RA/DEC from Table 1
"""
all_lls = []
# Table 1
tab_fil = pyigm_path + "/data/LLS/Literature/meiring07.tb1.ascii"
with open(tab_fil, 'r') as f:
flines1 = f.readlines()
# Grab RA/DEC
qso_dict = {}
for iline in flines1:
if iline[0:2] in ['QS', '\h', '$\\', 'J2']:
continue
# Parse
isplit = iline.split('&')
if '-' not in isplit[3]:
sgn = '+'
else:
sgn = ''
radec = isplit[2].strip() + sgn + isplit[3].strip()
radec = radec.replace(':', '')
# zem
if isplit[0].strip() != 'Q0826-2230':
zem = float(isplit[5].strip())
else:
zem = 0.911
# Save
qso_dict[isplit[0].strip()] = dict(radec=radec,
zem=zem,
vlim=[-500., 500] * u.km / u.s)
# Abundances (AODM)
# Table 11
tab_fil = pyigm_path + "/data/LLS/Literature/meiring07.tb11.ascii"
with open(tab_fil, 'r') as f:
flines11 = f.readlines()
#
for iline in flines11:
if iline[0:2] in ['\h', ' ']:
continue
# Parse
isplit = iline.split('&')
# Ions
if iline[0:2] == 'QS':
ioncs = []
Zions = []
for iis in isplit[3:-1]: # Skipping HI
# Parse
is2 = iis.split('\\')
ip2 = is2[2].find('}')
ionc = is2[1][2:].strip() + ' ' + is2[2][0:ip2].strip()
# Zion
Zion = ltai.name_to_ion(ionc)
# Append
ioncs.append(ionc)
Zions.append(Zion)
continue
if iline[0] == 'Q':
# QSO
qso = isplit[0].strip()
# zabs and name
zabs = float(isplit[1].strip())
qso_dict[qso]['name'] = qso + 'z_{:.3f}'.format(zabs)
qso_dict[qso]['zabs'] = zabs
# NHI
is2 = isplit[2].strip()
qso_dict[qso]['NHI'] = float(is2[0:5])
#if qso_dict[qso]['NHI'] >= 20.3:
# print('Uh oh. DLA')
qso_dict[qso]['sig_NHI'] = np.array([float(is2[10:])] * 2)
# Generate LLS
lls = LLSSystem(**qso_dict[qso])
continue
else:
# ADOM Columns
ion_dict = {}
for kk, iis in enumerate(isplit[3:-1]):
is2 = iis.strip()
if is2[0:3] == '$>$':
ion_dict[ioncs[kk]] = dict(sig_clm=0.,
flg_clm=2,
Z=Zions[kk][0],
ion=Zions[kk][1])
ion_dict[ioncs[kk]]['clm'] = float(is2[3:])
elif is2[0:3] == '$<$':
ion_dict[ioncs[kk]] = dict(sig_clm=0.,
flg_clm=3,
Z=Zions[kk][0],
ion=Zions[kk][1])
ion_dict[ioncs[kk]]['clm'] = float(is2[3:])
elif len(is2) == 0:
pass
else:
ion_dict[ioncs[kk]] = dict(flg_clm=1,
Z=Zions[kk][0],
ion=Zions[kk][1])
ion_dict[ioncs[kk]]['clm'] = float(is2[0:5])
ion_dict[ioncs[kk]]['sig_clm'] = float(is2[10:])
# Finish
lls._ionN = pyiau.dict_to_ions(ion_dict)
lls.Refs.append('Mei07')
all_lls.append(lls)
# Return SLLS only
fin_slls = [ills for ills in all_lls if ills.NHI < 20.3]
return fin_slls
def jenkins2005():
"""Jenkins, E. et al. 2005, ApJ, 2005, 623, 767
PHL 1811
HST/STIS, FUSE
Metals parsed from Table 1
OI taken from text
Had to input error on columns by hand (JXP)
Total NHI from Lyman series. see Fig 3
M/H from O/H
"""
# Grab ASCII file from ApJ
tab_fil = pyigm_path + "/data/LLS/Literature/jenkins2005.tb1.ascii"
chk_fil = glob.glob(tab_fil)
if len(chk_fil) > 0:
tab_fil = chk_fil[0]
else:
url = 'http://iopscience.iop.org/0004-637X/623/2/767/fulltext/61520.tb1.txt'
print('LLSSurvey: Grabbing table file from {:s}'.format(url))
f = urlopen(url)
with open(tab_fil, "wb") as code:
code.write(f.read())
# Setup
radec = '215501.5152-092224.688' # SIMBAD
lls = LLSSystem(name='PHL1811_z0.081',
radec=radec,
zem=0.192,
zabs=0.080923,
vlim=[-100., 100.] * u.km / u.s,
NHI=17.98,
ZH=-0.19,
sig_NHI=np.array([0.05, 0.05]))
lls.lines = [] # Probably not used
# AbsLines
ism = LineList('ISM')
Nsig = {
'C IV': 0.4,
'N II': 0.4,
'Si II': 0.05,
'Si IV': 0.25,
'S II': 0.2,
'Fe II': 0.12,
'H I': 0.05,
'S III': 0.06
}
# Parse Table
with open(tab_fil, 'r') as f:
flines = f.readlines()
ion_dict = {}
for iline in flines:
iline = iline.strip()
if (len(iline) == 0):
continue
# Split on tabs
isplit = iline.split('\t')
# Offset?
ioff = 0
if isplit[0][0] in ['1', '2']:
ioff = -1
# Catch bad lines
if (isplit[1 + ioff][0:6]
in ['1442.0', '1443.7',
'1120.9']): # Skip goofy CII line and CII*
continue
if len(isplit[2 + ioff]) == 0:
continue
# Ion
if (len(isplit[0].strip()) > 0) & (isplit[0][0] not in ['1', '2']):
ionc = isplit[0].strip()
try:
Zion = ltai.name_to_ion(ionc)
except (KeyError, RecursionError):
pdb.set_trace()
# Generate the Line
try:
newline = AbsLine(float(isplit[2 + ioff]) * u.AA,
linelist=ism,
closest=True)
except ValueError:
pdb.set_trace()
newline.attrib['z'] = lls.zabs
# Spectrum
newline.analy['datafile'] = 'STIS' if 'S' in isplit[1] else 'FUSE'
# EW
try:
EWvals = isplit[4 + ioff].split(' ')
except IndexError:
pdb.set_trace()
newline.attrib['EW'] = float(EWvals[0]) * u.AA / 1e3
newline.attrib['sig_EW'] = float(EWvals[2]) * u.AA / 1e3
newline.attrib['flag_EW'] = 1
if len(isplit) < (5 + ioff + 1):
continue
# Colm?
#xdb.set_trace()
newline.attrib['sig_logN'] = 0.
if (len(isplit[5 + ioff].strip()) > 0) & (isplit[5 + ioff].strip() !=
'\\ldots'):
if isplit[5 + ioff][0] == '\\':
ipos = isplit[5 + ioff].find(' ')
newline.attrib['logN'] = float(isplit[5 + ioff][ipos + 1:])
newline.attrib['flag_N'] = 2
elif isplit[5 + ioff][0] == '<':
ipos = 0
newline.attrib['logN'] = float(isplit[5 + ioff][ipos + 1:])
newline.attrib['flag_N'] = 3
elif isplit[5 + ioff][0] == '1':
try:
newline.attrib['logN'] = float(isplit[5 + ioff][0:5])
except ValueError:
pdb.set_trace()
newline.attrib['flag_N'] = 1
try:
newline.attrib['sig_logN'] = Nsig[ionc]
except KeyError:
print('No error for {:s}'.format(ionc))
else:
raise ValueError('Bad character')
# ion_dict
ion_dict[ionc] = dict(clm=newline.attrib['logN'],
sig_clm=newline.attrib['sig_logN'],
flg_clm=newline.attrib['flag_N'],
Z=Zion[0],
ion=Zion[1])
# Append
lls.lines.append(newline)
# Fix NI, OI
ion_dict['O I']['clm'] = 14.47
ion_dict['O I']['sig_clm'] = 0.05
ion_dict['N I']['flg_clm'] = 3
lls._ionN = pyiau.dict_to_ions(ion_dict)
lls.Refs.append('Jen05')
# Return
return lls
def complist_from_table(table):
"""
Returns a list of AbsComponents from an input astropy.Table.
Parameters
----------
table : Table
Table with component information (each row must correspond
to a component). Each column is expecting a unit when
appropriate.
Returns
-------
complist : list
List of AbsComponents defined from the input table.
Notes
-----
Mandatory column names: 'RA', 'DEC', 'ion_name', 'z_comp', 'vmin', 'vmax'
These column are required.
Special column names: 'name', 'comment', 'logN', 'sig_logN', 'flag_logN'
These columns will fill internal attributes when corresponding.
In order to fill in the Ntuple attribute all three 'logN', 'sig_logN', 'flag_logN'
must be present. For convenience 'logN' and 'sig_logN' are expected to be floats
corresponding to their values in np.log10(1/cm^2).
Other columns: 'any_column_name'
These will be added as attributes within the AbsComponent.attrib dictionary,
with their respective units if given.
"""
# Convert to QTable to handle units in individual entries more easily
table = QTable(table)
# mandatory and optional columns
min_columns = ['RA', 'DEC', 'ion_name', 'z_comp', 'vmin', 'vmax']
special_columns = ['name', 'comment', 'logN', 'sig_logN', 'flag_logN']
for colname in min_columns:
if colname not in table.keys():
raise IOError('{} is a mandatory column. Please make sure your input table has it.'.format(colname))
#loop over rows
complist = []
for row in table:
# mandatory
coord = SkyCoord(row['RA'].to('deg').value, row['DEC'].to('deg').value, unit='deg') # RA y DEC must both come with units
Zion = name_to_ion(row['ion_name'])
zcomp = row['z_comp']
vlim =[row['vmin'].to('km/s').value, row['vmax'].to('km/s').value] * u.km / u.s # units are expected here too
# special columns
try:
Ntuple = (row['flag_logN'], row['logN'], row['sig_logN']) # no units expected
except KeyError:
Ntuple = None
try:
comment = row['comment']
except KeyError:
comment = ''
try:
name = row['name']
except KeyError:
name = None
# define the component
comp = AbsComponent(coord, Zion, zcomp, vlim, Ntup=Ntuple, comment=comment, name=name)
# other columns will be filled in comp.attrib dict
for colname in table.keys():
if (colname not in special_columns) and (colname not in min_columns):
kms_cols = ['b', 'sig_b']
if colname in kms_cols: # check units for parameters expected in velocity units
try:
val_aux = row[colname].to('km/s').value * u.km / u.s
except u.UnitConversionError:
raise IOError('If `{}` column is present, it must have velocity units.'.format(colname))
comp.attrib[colname] = val_aux
# parameters we do not care about units much
else:
comp.attrib[colname] = row[colname]
# append
complist += [comp]
return complist
def battisti12():
'''Battisti, A. et al. 2012, ApJ, 744, 93
HST/COS
QSO info from Table 1
Metal columns parsed from Table 3
NHI from Lya
'''
all_lls = []
# Grab ASCII files from ApJ
tab_fils = [
pyigm_path + "/data/LLS/Literature/battisti12.tb1.ascii",
pyigm_path + "/data/LLS/Literature/battisti12.tb3.ascii"
]
urls = [
'http://iopscience.iop.org/0004-637X/744/2/93/suppdata/apj413924t1_ascii.txt',
'http://iopscience.iop.org/0004-637X/744/2/93/suppdata/apj413924t3_ascii.txt'
]
for jj, tab_fil in enumerate(tab_fils):
chk_fil = glob.glob(tab_fil)
if len(chk_fil) > 0:
tab_fil = chk_fil[0]
else:
url = urls[jj]
print('LLSSurvey: Grabbing table file from {:s}'.format(url))
f = urlopen(url)
with open(tab_fil, "wb") as code:
code.write(f.read())
# QSO info
with open(tab_fils[0], 'r') as f:
flines1 = f.readlines()
# Grab RA/DEC
all_idict = []
for iline in flines1:
if iline[0:2] != 'SD':
continue
# Parse
isplit = iline.split('\t')
name = isplit[0].split(' ')[1]
radec = name[1:]
zem = float(isplit[1].strip())
zabs = float(isplit[2].strip())
NHI = float(isplit[3].strip()[0:4])
sigNHI = np.array([float(isplit[3].strip()[11:])] * 2)
# Save
lls = LLSSystem(name=name,
radec=radec,
zem=zem,
zabs=zabs,
NHI=NHI,
sig_NHI=sigNHI,
vlim=[-500, 500] * u.km / u.s)
#
all_lls.append(lls)
all_idict.append({})
# Abundances
with open(tab_fils[1], 'r') as f:
flines3 = f.readlines()
flines3 = flines3[5:]
ion = None
for iline in flines3:
if ion == 'Ni II':
break
isplit = iline.split('\t')
if isplit[0] == 'C II*': # Skipping CII*
continue
# ion
ipos = -1
while (isplit[0][ipos] not in ['I', 'V']):
ipos -= 1
ion = isplit[0][0:ipos + 1 + len(isplit[0])]
Zion = ltai.name_to_ion(ion)
# Loop on systems
for kk, iis in enumerate(isplit[1:-1]):
if iis.strip()[0] == '.':
continue
all_idict[kk][ion] = dict(Z=Zion[0], ion=Zion[1], sig_clm=0.)
if iis[0] == '>':
all_idict[kk][ion]['flg_clm'] = 2
all_idict[kk][ion]['clm'] = float(iis[1:6])
elif iis[0] == '<':
all_idict[kk][ion]['flg_clm'] = 3
all_idict[kk][ion]['clm'] = float(iis[1:])
else:
all_idict[kk][ion]['flg_clm'] = 1
all_idict[kk][ion]['clm'] = float(iis[0:5])
all_idict[kk][ion]['sig_clm'] = float(iis[-4:])
# Return SLLS only
for kk, lls in enumerate(all_lls):
try:
lls._ionN = pyiau.dict_to_ions(all_idict[kk])
except ValueError:
pdb.set_trace()
lls.Refs.append('Bat12')
fin_slls = [ills for ills in all_lls if ills.NHI < 20.3]
return fin_slls
def stack_plot(self,
to_plot,
pvlim=None,
maxtrans=3,
return_fig=True,
add_missing_lines=False,
spec=None,
**kwargs):
'''Show a stack plot of the CGM absorption system
Parameters
----------
to_plot : List of AbsLines, AbsComponents, tuples, or strs
If AbsLines, pass list on to linetools.analysis.plots.stack_plot()
If not Abslines, will plot up to maxtrans of strongest transitions
covered by spectra for components of some species.
If tuples or strs, should be Zion value or ion name: (8,6) or 'OVI'
pvlim : Quantities, optional
Override system vlim for plotting
maxtrans : int, optional
Maximum number of lines per transition to plot
add_missing_lines : bool, optional
If True, plot transitions that do not have associated AbsLine objects
spec : XSpectrum1D, optional
Spectrum to plot in regions of requested lines; required if assoc.
AbsLine objects do not have their analy['specfile'] attributes set
Returns
-------
fig : matplotlib Figure, optional
Figure instance containing stack plot with subplots, axes, etc.
'''
from linetools.analysis import plots as ltap
from linetools.spectralline import AbsLine
from linetools.isgm.abscomponent import AbsComponent
from linetools.spectra.io import readspec
from linetools.lists.linelist import LineList
from linetools.abund import ions as ltai
from pyigm import utils as pu
ilist = LineList('ISM')
if not isinstance(to_plot[0], AbsLine):
lines2plot = [] # Master list of lines to plot
for i, tp in enumerate(to_plot):
if isinstance(tp, AbsComponent):
comp = to_plot
else: # Pick components in system closest to z_cgm
thesecomps = pu.get_components(self, tp)
if len(thesecomps) == 0:
if add_missing_lines is True:
# Add components
if isinstance(tp, str):
tup = ltai.name_to_ion(tp)
else:
tup = tp
comp = AbsComponent(self.coord,
tup,
zcomp=self.z,
vlim=[-100., 100.] * u.km /
u.s)
comp.add_abslines_from_linelist()
if spec is not None:
for al in comp._abslines:
al.analy['spec'] = spec
else:
raise ValueError('spec must be provided if '
'requesting species without'
' existing components.')
else:
continue
else:
# Find component with redshift closest to systemic
compvels = np.array(
[np.median(tc.vlim.value) for tc in thesecomps])
comp = thesecomps[np.argmin(np.abs(compvels))]
### Get strongest transitions covered
wmins = []
wmaxs = []
for j, al in enumerate(comp._abslines):
# Load spectrum if not already loaded
if al.analy['spec'] is None:
try:
if spec is not None:
al.analy['spec'] = spec
else:
al.analy['spec'] = readspec(
al.analy['spec_file'])
except:
raise LookupError("spec must be defined or "
"analy['specfile'] must be "
"declared for AbsLines")
# Get wavelength limits to know where to look
wmins.append(al.analy['spec'].wvmin.value)
wmaxs.append(al.analy['spec'].wvmax.value)
wlims = (np.min(np.array(wmins)), np.max(
np.array(wmaxs))) * u.Angstrom
# ID the strong transitions
strong = ilist.strongest_transitions(tp,
wvlims=wlims /
(1. + comp.zcomp),
n_max=maxtrans)
if strong is None: # No lines covered in the spectra
warnings.warn(
'No lines for {} are covered by the spectra'
'provided.'.format(tp))
continue
# Grab the AbsLines from this AbsComponent and their names
complines = comp._abslines
complines = np.array(complines) # For the indexing
compnames = np.array([ll.name for ll in complines])
### Add the lines found to the master list
if isinstance(strong, dict): # Only one line covered
lines2plot.append(
complines[compnames == strong['name']][0])
else: # Multiple lines covered
for i, sn in enumerate(strong['name']):
# Handle case where relevant components are defined
if sn in compnames:
tokeep = [complines[compnames == sn][0]]
lines2plot.extend(tokeep)
# Now case where components were not attached to sys
elif add_missing_lines is True:
# Add line to the existing comp to preserve z, etc.
compcopy = comp.copy(
) #Copy to add dummy lines
# Set up observed wavelength range
obswave = strong['wrest'][i] * (1. +
compcopy.zcomp)
wvrange = [obswave - 0.1, obswave + 0.1
] * u.Angstrom
# Add this line to the component
compcopy.add_abslines_from_linelist(
wvlim=wvrange)
al = compcopy._abslines[-1]
# Set the spectrum
if spec is not None:
al.analy['spec'] = spec
else:
al.analy['spec'] = comp._abslines[0].analy[
'spec']
# Add the line
lines2plot.append(al)
else:
warnings.warn(
'{} covered by spectra but not in'
'components list'.format(sn))
else:
lines2plot = to_plot
# Deal with velocity limits
if pvlim is not None:
vlim = pvlim
else:
vlim = self.vlim
### Make the plot!
fig = ltap.stack_plot(lines2plot,
vlim=vlim,
return_fig=return_fig,
zref=self.z,
**kwargs)
fig.subplots_adjust(bottom=0.,
left=0.1,
right=0.95,
hspace=0.,
wspace=0.35)
return fig
def peroux06b():
"""Peroux, C. et al. 2006b, A&A, 450, 53
SDSS J1323-0021
Metal rich
Metal columns copied by JXP from Table 1
Total NHI from damping wings
"""
# Setup
radec = '132323.78-002155.2' # SDSS Name
lls = LLSSystem(name='SDSSJ1323-0021_z0.716',
radec=radec,
zem=1.390,
zabs=0.716,
vlim=[-200., 200.] * u.km / u.s,
NHI=20.21,
sig_NHI=np.array([0.20, 0.20]))
# Parse table file
tab_fil = pyigm_path + "/data/LLS/Literature/peroux06b.tb1.ascii"
with open(tab_fil, 'r') as f:
flines = f.readlines()
ion_dict = {}
for iline in flines:
isplit = iline.split('\t')
if len(isplit[0]) == 0:
# Grab ions and init
ions = isplit[3:10]
for ion in ions:
Zion = ltai.name_to_ion(ion)
ion_dict[ion] = dict(clm=0.,
sig_clm=0.,
flg_clm=1,
Z=Zion[0],
ion=Zion[1])
continue
# Column or sigma?
if isplit[0][0] == 'N': # Column
for kk, iis in enumerate(isplit[3:10]):
ion = ions[kk]
if iis[0] == '>':
ion_dict[ion]['flg_clm'] = 2
ion_dict[ion]['clm'] += float(iis[1:])
elif iis[0] == '<':
pass
elif iis[0] == '.':
pass
else:
ion_dict[ion]['clm'] += float(iis)
else: # Sigma
for kk, iis in enumerate(isplit[3:10]):
ion = ions[kk]
if iis[0] == '.':
pass
else:
ion_dict[ion]['sig_clm'] += float(iis)**2
# Convert to log
for ion in ions:
N = ion_dict[ion]['clm']
sig = np.sqrt(ion_dict[ion]['sig_clm'])
#
ion_dict[ion]['clm'] = np.log10(N)
if ion_dict[ion]['flg_clm'] == 2:
ion_dict[ion]['sig_clm'] = 0.
else:
ion_dict[ion]['sig_clm'] = sig / N / np.log(10)
# Finish
lls._ionN = pyiau.dict_to_ions(ion_dict)
lls.Refs.append('Prx06b')
return lls