The United States Naval Observatory NOVAS astronomy library
NOVAS is an integrated package of functions for computing various commonly needed quantities in positional astronomy. The package can supply, in one or two function calls, the instantaneous coordinates of any star or solar system body in a variety of coordinate systems. At a lower level, NOVAS also provides astrometric utility transformations, such as those for precession, nutation, aberration, parallax, and gravitational deflection of light. The computations are accurate to better than one milliarcsecond. The NOVAS library is an easy-to-use facility that can be incorporated into data reduction programs, telescope control systems, and simulations. The U.S. parts of The Astronomical Almanac are prepared using NOVAS.
This Python package includes both the NOVAS library and the Python wrapper that are available from the NOVAS home page at the United States Naval Observatory. This version includes a few bug fixes and packaging adjustments that are not in the most recent June 2011 release of the software from the Naval Observatory itself. You can find these changes described at the bottom of this page in the Changelog, and you can also review them yourself at the project repository on GitHub.
This package has been uploaded to the Python Package Index by Brandon Rhodes <firstname.lastname@example.org>. Please contact me, and not the busy folks at the Naval Observatory, about any problems you encounter when trying to install it — any problems with how it has been packaged are my fault, not theirs! For questions about how to use the library, you can also ask for help on Stack Overflow, where I watch for questions that involve Python and astronomy.
Importing the library and opening the planetary ephemeris:
>>> from novas import compat as novas >>> from novas.compat import eph_manager >>> jd_start, jd_end, number = eph_manager.ephem_open()
Converting a calendar date to a Julian date:
>>> jd_tt = novas.julian_date(2012, 10, 2, 12.0) >>> jd_tt 2456203.0
Asking where Mars is located in the sky on a given date, in “astrometric” coordinates of the kind that are used in printed sky atlases:
>>> mars = novas.make_object(0, 4, 'Mars', None) >>> ra, dec, dis = novas.astro_planet(jd_tt, mars) >>> print 'R.A. %d:%02f' % (ra, abs(ra) % 1. * 60.) R.A. 15:36.176177 >>> print 'dec. %d:%02f' % (dec, abs(dec) % 1. * 60.) dec. -20:11.951841 >>> print 'distance %f AU' % (dis,) distance 1.947674 AU
There is more information at the NOVAS home page and in particular a full PDF manual that includes a “Sample Calculations” chapter. Even though the manual is for the C version, you can generally puzzle out how to make the same calls from Python if you compare the sample code to the way that similar calculations are done in the test package included inside of novas!
Like other packages listed here on the Python Package Index, this package can be installed with the pip command. You will need to install both the library itself as well as a high-accuracy ephemeris data set, with the DE405 ephemeris being the current default:
$ pip install novas $ pip install novas_de405
Note that the second command may take several minutes to run, depending on your Internet connection, because the JPL ephemeris that it has to download is 55 MB in size!
If you are managing a Python project that has a setup.py or a requirements.txt file, then instead of running these pip commands manually you can simply list these two package names alongside the other packages that you depend on, and let them be installed as part of your normal project install.
Once the package is installed, you can run its tests with the new test-discovery feature built-in to Python 2.7. If the tests pass to extremely high accuracy, then the result should be:
$ python -m unittest discover novas ........................................ ........................................ ........... ---------------------------------------- Ran 191 tests in 0.022s OK
If you are using an older version of Python, then you can run the tests with the unittest2 compatibility package instead:
$ pip install unittest2 $ unit2 discover novas
Running the tests this way should also result in a pretty field of dots, followed by the message “OK.”
Successful installation will produce a novas package that contains several namespaces full of functions:
You can find more information and documentation on the project’s official NOVAS home page at the Naval Observatory.
Further fixes have been provided by users, so I am making this interim release while the official version still sits at 3.1.
The Naval Observatory has not released a new version of NOVAS since June 2011, but reports and requests from users convinced me to make several small fixes to the code and make an interim release here on the Python Package Index:
To examine the code changes yourself, you can visit the project repository on GitHub.
Initial release of the library on the Python Package Index.
This software was produced by the United States Naval Observatory at the expense of United States taxpayers, and is therefore not suseptible to copyright, because a copyright would place taxpayer property under private ownership. Since it is not copyrighted, it cannot be licensed; it is simply free.
To credit the authors, you are invited to cite their work as follows:
Barron, E. G., Kaplan, G. H., Bangert, J., Bartlett, J. L., Puatua, W., Harris, W., & Barrett, P. (2011) “Naval Observatory Vector Astrometry Software (NOVAS) Version 3.1, Introducing a Python Edition,” Bull. AAS, 43, 2011.
The authors of NOVAS ask that if you use their software in your work, that you let them know at email@example.com since a record of who is using their software helps them justify the excellent work that they are doing by making the software available to the public.