def neeleman13():
""" Build a summary file for the Neeleman+13 sample
"""
prefix = 'H100'
outpath = os.getenv('DROPBOX_DIR') + '/Public/DLA/' + prefix + '/'
dlasurvey = DLASurvey.from_flist('Lists/Neeleman13.lst',
tree=os.environ.get('DLA'))
dlasurvey.ref = 'Neeleman+13'
# Reset vlim
for dla in dlasurvey._abs_sys:
dla.vlim = [-1000., 1000.] * u.km / u.s
# Mask
dlasurvey.mask = dlasurvey.NHI == dlasurvey.NHI
# Json file for ions
dlasurvey.fill_ions(use_Nfile=True)
mk_json_ions(dlasurvey, prefix, outpath + prefix + '_DLA_ions.json')
# Json files for .clm files
mk_json_clms(dlasurvey, outpath + 'CLMS/', prefix)
print('It is likely you wish to tarball the CLMS folder for distribution')
# JSON SYS files (preferred)
mk_json_sys(dlasurvey, outpath, prefix)
# Summary file and spectra
mk_summary(dlasurvey,
prefix,
outpath + prefix + '_DLA.fits',
specpath=outpath + '/Spectra/',
htmlfil=outpath + prefix + '_DLA.html')
def neeleman13():
""" Build a summary file for the Neeleman+13 sample
"""
prefix = "H100"
outpath = os.getenv("DROPBOX_DIR") + "/Public/DLA/" + prefix + "/"
dlasurvey = DLASurvey.from_flist("Lists/Neeleman13.lst", tree=os.environ.get("DLA"))
dlasurvey.ref = "Neeleman+13"
# Reset vlim
for dla in dlasurvey._abs_sys:
dla.vlim = [-1000.0, 1000.0] * u.km / u.s
# Mask
dlasurvey.mask = dlasurvey.NHI == dlasurvey.NHI
# Json file for ions
dlasurvey.fill_ions(use_Nfile=True)
mk_json_ions(dlasurvey, prefix, outpath + prefix + "_DLA_ions.json")
# Json files for .clm files
mk_json_clms(dlasurvey, outpath + "CLMS/", prefix)
print("It is likely you wish to tarball the CLMS folder for distribution")
# JSON SYS files (preferred)
mk_json_sys(dlasurvey, outpath, prefix)
# Summary file and spectra
mk_summary(
dlasurvey,
prefix,
outpath + prefix + "_DLA.fits",
specpath=outpath + "/Spectra/",
htmlfil=outpath + prefix + "_DLA.html",
)
def neeleman13():
""" Build a summary file for the Neeleman+13 sample
"""
prefix = 'H100'
outpath = os.getenv('DROPBOX_DIR')+'/Public/DLA/'+prefix+'/'
dlasurvey = DLASurvey.from_flist('Lists/Neeleman13.lst',
tree=os.environ.get('DLA'))
dlasurvey.ref = 'Neeleman+13'
# Json file for ions
dlasurvey.fill_ions(use_Nfile=True)
mk_json_ions(dlasurvey, prefix, outpath+prefix+'_DLA_ions.json')
# Json files for .clm files
mk_json_clms(dlasurvey, outpath+'CLMS/', prefix)
print('It is likely you wish to tarball the CLMS folder for distribution')
# Summary file and spectra
mk_summary(dlasurvey, prefix, outpath+prefix+'_DLA.fits',
specpath=outpath+'/Spectra/',
htmlfil=outpath+prefix+'_DLA.html')
def neeleman13():
""" Build a summary file for the Neeleman+13 sample
"""
prefix = 'H100'
outpath = os.getenv('DROPBOX_DIR') + '/Public/DLA/' + prefix + '/'
dlasurvey = DLASurvey.from_flist('Lists/Neeleman13.lst',
tree=os.environ.get('DLA'))
dlasurvey.ref = 'Neeleman+13'
# Json file for ions
dlasurvey.fill_ions(use_Nfile=True)
mk_json_ions(dlasurvey, prefix, outpath + prefix + '_DLA_ions.json')
# Json files for .clm files
mk_json_clms(dlasurvey, outpath + 'CLMS/', prefix)
print('It is likely you wish to tarball the CLMS folder for distribution')
# Summary file and spectra
mk_summary(dlasurvey,
prefix,
outpath + prefix + '_DLA.fits',
specpath=outpath + '/Spectra/',
htmlfil=outpath + prefix + '_DLA.html')
