smaret

(require 'polymode)

(defcustom pm-host/test
  (pm-bchunkmode "test"
		 :mode 'fundamental-mode)
  "Test host chunkmode"
  :group 'hostmodes
  :type 'object)

(defcustom  pm-inner/pytest

smaret

#!/usr/bin/env python
# convolve - convolve a FITS cube with a gaussian beam

import sys
import os
import getopt
import gzip
from numpy import *
from astropy.convolution import convolve_fft, Gaussian2DKernel
from astropy.io import fits as pyfits

smaret

#!/usr/bin/env python
# fitscat -- concatenate several FITS spectra together

import sys
import os
import getopt
from astropy.io import fits as pyfits
from numpy import *
from scipy import interpolate

smaret

wget -r --no-parent --cut-dirs=2 --no-host-directories --reject "index.html*" -N -e robots=off http://almasciencedl.eso.org/almadata/sciver/HLTauBand6

smaret

<?xml version="1.0" encoding="utf-8"?>
<style xmlns="http://purl.org/net/xbiblio/csl" class="in-text" version="1.0">
  <info>
    <title>Authorea</title>
    <id>http://www.authorea.com</id>
    <author>
      <name>Sébastien Maret</name>
      <email>sebastien.maret@icloud.com</email>
    </author>
    <category field="generic-base"/>

smaret

# vamdc_query.py -- Search for lines in the CDMS through VAMDC

import urllib2
import xml.etree.ElementTree as ET

species = "CO"
fmin = 109e9
fmax = 111e9
einstein = - 1
energy = -1

smaret

[files]
source = source.mdl
chem = osu2009.chm
# Physical paramaters
[phys]
grain_size = 0.1
grain_gas_mass_ratio = 0.0001
# Solver parameters
[solver]
ti = 1e-6

smaret

[files]
source = source.mdl
chem = network.chm
# Initial abundances
[abundances]
H2 = 0.5
CO = 1e-6
#grain = 1.0e-12
# Output
[output]

smaret

smaret

from astrochem.wrapper import *
import numpy as np

p = phys()
initial_abundances = {}
c = cell(av=20, nh=1e3, tgas=10, tdust=10)
s = solver(c,  "network.chm", p , 1e-15, 1e-6, initial_abundances, 1e3, 0)