Astropy is a community-driven Python package intended to contain much
of the core functionality and common tools needed for astronomy and
New and improved major functionality in this release includes:
* A new class to compute Lomb-Scargle periodograms efficiently using
* A number of new statistics functions including those for Jackknife
resampling, circular statistics, and the Akaike and Bayesian
* Support for getting the positions of solar system bodies in the
* The ability to compute Barycentric and Heliocentric light-travel
* Support for offset coordinate frames, which can be used to define a
coordinate system relative to a known position and rotation.
* An implementation of the zscale algorithm to determine image limits
* Support for bolometric magnitudes in the units package.
* Improvements to the NDData class and subclasses.
* Auto-downloading of IERS tables as needed, which gives information
about Earth orientation parameters necessary for high precision
coordinate calculations and conversions to/from the UT1 scale.
In addition, hundreds of smaller improvements and fixes have been
made. An overview of the changes is provided at:
As a reminder, Astropy v1.0 (our long term support release) will
continue to be supported with bug fixes until Feb 19th 2017, so if you
need to use Astropy in a very stable environment, you may want to
consider staying on the v1.0.x set of releases (for which we have
recently released v1.0.10).
If you use Astropy directly for your work, or as a dependency to
another package, please remember to include the following
acknowledgment at the end of papers:
“This research made use of Astropy, a community-developed core Python
package for Astronomy (Astropy Collaboration, 2013).”
where (Astropy Collaboration, 2013) is a reference to the Astropy paper: