SACC - the LSST/DESC summary statistic data format library
SACC (Save All Correlations and Covariances) is a format and reference library for general storage of summary statistic measurements for the Dark Energy Science Collaboration (DESC) within the Large Synoptic Survey Telescope (LSST) project.
You can install sacc with the command:
pip install sacc
(For local installation you might need to add
Or for development versions you can download the repository with git and install from there using
python setup.py install
Documentation & Examples
Documentation can be found on ReadTheDocs.
The examples directory on github contains ipython notebooks showing various ways of constructing and using sacc data files.
If you have a problem you've not been able to debug, or a feature request/suggestion the you can open an issue to discuss it.
The current release is version 0.4.2.
You can find a list of previous releases here. The releases above 0.2 are all compatible; 0.1 is a previous version of the format.
The master branch includes more recent (non-released) development changes.
Sacc has been submitted to the Astrophysics Source Code Library; follow the link that will appear there to NASA ADS to export a bibtex citation.
The core developers of Sacc are Joe Zuntz (maintainer), David Alonso, and Matt Becker.
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size sacc-0.4.5.tar.gz (31.9 kB)||File type Source||Python version None||Upload date||Hashes View|