本文整理汇总了Python中linetools.spectralline.AbsLine.analy["FLAGS"]方法的典型用法代码示例。如果您正苦于以下问题：Python AbsLine.analy["FLAGS"]方法的具体用法？Python AbsLine.analy["FLAGS"]怎么用？Python AbsLine.analy["FLAGS"]使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类linetools.spectralline.AbsLine的用法示例。
在下文中一共展示了AbsLine.analy["FLAGS"]方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: read_clmfile
# 需要导入模块: from linetools.spectralline import AbsLine [as 别名]
# 或者: from linetools.spectralline.AbsLine import analy["FLAGS"] [as 别名]
def read_clmfile(clm_file, linelist=None):
""" Read in a .CLM file in an appropriate manner
NOTE: If program breaks in this function, check the clm to see if it is properly formatted.
RETURNS two dictionaries CLM and LINEDIC. CLM contains the contents of CLM
for the given DLA. THe LINEDIC that is passed (when not None) is updated appropriately.
Keys in the CLM dictionary are:
INST - Instrument used
FITS - a list of fits files
ZABS - absorption redshift
ION - .ION file location
HI - THe HI column and error; [HI, HIerr]
FIX - Any abundances that need fixing from the ION file
VELS - Dictioanry of velocity limits, which is keyed by
FLAGS - Any measurment flags assosicated with VLIM
VLIM - velocity limits in km/s [vmin,vmax]
ELEM - ELement (from get_elem)
See get_elem for properties of LINEDIC
Parameters
----------
clm_file : str
Full path to the .clm file
linelist : LineList
can speed up performance
"""
clm_dict = {}
# Read file
f = open(clm_file, "r")
arr = f.readlines()
f.close()
nline = len(arr)
# Data files
clm_dict["flg_data"] = int(arr[1][:-1])
clm_dict["fits_files"] = {}
ii = 2
for jj in range(0, 6):
if (clm_dict["flg_data"] % (2 ** (jj + 1))) > (2 ** jj - 1):
clm_dict["fits_files"][2 ** jj] = arr[ii].strip()
ii += 1
# Redshift
clm_dict["zsys"] = float(arr[ii][:-1])
ii += 1
clm_dict["ion_fil"] = arr[ii].strip()
ii += 1
# NHI
tmp = arr[ii].split(",")
ii += 1
if len(tmp) != 2:
raise ValueError("ionic_clm: Bad formatting {:s} in {:s}".format(arr[ii - 1], clm_file))
clm_dict["NHI"] = float(tmp[0])
clm_dict["sigNHI"] = float(tmp[1])
# Abundances by hand
numhand = int(arr[ii][:-1])
ii += 1
clm_dict["fixabund"] = {}
if numhand > 0:
for jj in range(numhand):
# Atomic number
atom = int(arr[ii][:-1])
ii += 1
# Values
tmp = arr[ii].strip().split(",")
ii += 1
clm_dict["fixabund"][atom] = float(tmp[0]), float(tmp[1]), int(tmp[2])
# Loop on lines
clm_dict["lines"] = {}
while ii < (nline - 1):
# No empty lines allowed
if len(arr[ii].strip()) == 0:
break
# Read flag
ionflg = int(arr[ii].strip())
ii += 1
# Read the rest
tmp = arr[ii].split(",")
ii += 1
if len(tmp) != 4:
raise ValueError("ionic_clm: Bad formatting {:s} in {:s}".format(arr[ii - 1], clm_file))
vmin = float(tmp[1].strip())
vmax = float(tmp[2].strip())
key = float(tmp[0].strip()) # Using a numpy float not string!
# Generate
clm_dict["lines"][key] = AbsLine(key * u.AA, closest=True, linelist=linelist)
clm_dict["lines"][key].attrib["z"] = clm_dict["zsys"]
clm_dict["lines"][key].analy["FLAGS"] = ionflg, int(tmp[3].strip())
# By-hand
if ionflg >= 8:
clm_dict["lines"][key].attrib["N"] = 10.0 ** vmin / u.cm ** 2
clm_dict["lines"][key].attrib["sig_N"] = (10.0 ** (vmin + vmax) - 10.0 ** (vmin - vmax)) / 2 / u.cm ** 2
else:
clm_dict["lines"][key].analy["vlim"] = [vmin, vmax] * u.km / u.s
# Return
return clm_dict