Source code for slugpy.cloudy.read_cloudy_linelist

Routine to read a cloudy line list output, produced by save last line list

import numpy as np
from collections import namedtuple

[docs]def read_cloudy_linelist(filename): """ Reads a cloudy line list output, produced by save last line list Parameters filename : string name of the file to be read Returns A namedtuple containing the following fields: labels : array, dtype 'S4' list of line labels wl : array array of line wavelengths, in Angstrom lum : array array of line luminosities; this will be in whatever units the cloudy output is in """ # Open file fp = open(filename, 'r') # Burn header lines fp.readline() fp.readline() # Read data labels=[] wl=[] lum=[] for line in fp: # Skip blank lines and lines that start with hash marks, which # are comments if len(line.strip()) == 0: continue if line.strip()[0] == '#': continue # First 4 characters are descriptor labels.append(line[:4]) # Characters from 5 to tab are wavelength; last character is unit; # handle special case of exactly 0 wavelength, which occurs for # reasons only Gary can fathom... wlstr = line[5:].split('\t')[0].strip() if (wlstr == '0'): labels = labels[:-1] continue wlnum = wlstr[:-1] wlunit = wlstr[-1] if wlunit == 'A': multiplier = 1.0 elif wlunit == 'm': multiplier = 1e4 else: raise ValueError("unknown unit in line "+line) wl.append(float(wlnum)*multiplier) # Quantity after tab is luminosity linesplit=line.split('\t') lum.append(float(linesplit[1])) # Close file fp.close() # Convert to arrays labels = np.array(labels) wl = np.array(wl) lum = np.array(lum) # Return out_type = namedtuple('cloudy_linelist', ['label', 'wl', 'lum']) return out_type(labels, wl, lum)