cine is a command-line tool for calculating infrared pumping efficiencies.
At large nucleocentric distances, one of the main mechanisms for molecular
excitation in comets is the fluorescence by the solar radiation followed by
radiative decay to the ground vibrational state. This code calculates the
effective pumping rates for rotational levels in the ground vibrational state
scaled by the heliocentric distance of the comet. These coefficients are
useful for modeling rotational emission lines observed in cometary spectra at
sub-millimeter wavelengths.
Code releases are available on PyPI, and development happens in the github project page.
The code requires the standard scientific Python packages (numpy, scipy, and pandas) and astropy's affiliated package astroquery to access the HITRAN and Lamda databases. Running the tests requires nose.
cine can be installed using pip:
$ pip install cineor by cloning the github repository:
$ # If you have a github account:
$ git clone git@github.com:migueldvb/cine.git
$ # If you do not:
$ git clone https://github.com/migueldvb/cine.git
$ cd cine
$ python setup.py install
$ # Or if you do not have root privileges:
$ python setup.py install --userWhen the package is installed using either method, the cine script will be
copied to a directory in the PATH environment variable and will be available
for general use.
cine is a command-line tool that is included in the package to generate
pumping rates for several molecules. For example, to obtain the effective
pumping rates between the seven lowest rotational levels in the ground
vibrational state of HDO you can run the following command once CINE has
been installed:
$ cine --mol HDO --nlevels 7This should create a file named G_HDO.dat which contains the pumping rates
G ij in units of s -1 between the rotational levels
i and j shown in the first two columns. Note that the levels use zero-based
indexing.
0 3 2.568872e-05
0 4 2.570305e-05
0 5 1.552757e-05
1 2 6.253229e-05
1 6 2.987896e-05
2 1 6.196215e-05
2 6 4.410062e-05
3 0 7.547422e-05
3 4 3.103947e-05
3 5 5.048423e-05
4 0 1.253741e-04
4 3 5.128064e-05
4 5 4.679292e-05
5 0 7.481781e-05
5 3 8.287649e-05
5 4 4.643613e-05
6 1 4.820172e-05
6 2 7.201329e-05To include more levels in the calculation, change the -n/-nlevels command-line
option to a larger value. cine has a -h/--help argument that presents an
usage explanation describing each optional argument.
These coefficients are useful for deriving molecular production rates from cometary lines observed at sub-millimeter wavelengths combined with a code that solves the radiative transfer equations such as LIME.
To download the molecular data cine uses the astroquery.hitran and
astroquery.lamda tools. Set the LAMDA_DATA and HITRAN_DATA
environment variables (otherwise, the default
~/.astropy/cache/astroquery/Lamda and
~/.astropy/cache/astroquery/hitran will be used),
If nose is installed the tests can be run from the root of the repository as:
$ python setup.py testAny questions or bug reports can be raised in github's issue tracker or pull requests.
If you wish to cite this work, please use this reference from NASA's Astrophysics Data System:
@ARTICLE{2017JOSS....2..182D,
author = {{de Val-Borro}, Miguel and {Cordiner}, Martin A. and {Milam}, Stefanie
N. and {Charnley}, Steven B.},
title = "{Cine: Line excitation by infrared fluorescence in cometary atmospheres}",
journal = {The Journal of Open Source Software},
year = 2017,
month = Mar,
volume = {2},
pages = {182},
doi = {10.21105/joss.00182},
adsurl = {https://ui.adsabs.harvard.edu/#abs/2017JOSS....2..182D},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}Copyright 2017-2018 Miguel de Val-Borro
CINE is free software made available under the MIT License.
For details see the LICENSE file.