Releases: HeloiseS/FUSS
Fully Python3! -- Bug Fixes
Fully Python3!
FUSS is now fully Python 3.7 compatible. Also backwards compatible to Python 2.7
Revamped Architecture in datred + bits and bobs
FUSS.datred as changed tremendously, in the hopes that the new data reduction pipeline is more user friendly.
A lot of old code was restructured and I've added panda dataframes compatibilities (although note I usually use a tab separated format rather than csv)
Also dosctrings improved and python 3 compatible (although not 100 per cent tested)
Used for the data reduction and analysis of WR93b and WR102 (http://adsabs.harvard.edu/abs/2018MNRAS.479.4535S)
Bug fix - works with numpy 1.12.1
Our code For Use with Supernova Spectropolarimetry is a package developed to assist data reduction handling and analysis of spectropolarimetric data.
This release is a fix of the code previously used as it broke when numpy updated to 1.12.1
We used our code to reduce and analyse our data of SN 2014ad (see https://arxiv.org/abs/1704.06270).
To install just do:
pip install fusspy
FUSS - Added License
Our code For Use with Supernova Spectropolarimetry is a package developed to assist data reduction handling and analysis of spectropolarimetric data.
This first release corresponds to the code we used to reduce and analyse our data of SN 2014ad (see https://arxiv.org/abs/1704.06270).
To install just do:
pip install fusspy
FUSS bugfix
Our code For Use with Supernova Spectropolarimetry is a package developed to assist data reduction handling and analysis of spectropolarimetric data.
This first release corresponds to the code we used to reduce and analyse our data of SN 2014ad (see https://arxiv.org/abs/1704.06270).
To install just do:
pip install fusspy
FUSS
Our code For Use with Supernova Spectropolarimetry is a package developed to assist data reduction handling and analysis of spectropolarimetric data.
This first release corresponds to the code we used to reduce and analyse our data of SN 2014ad (see https://arxiv.org/abs/1704.06270).
To install just do:
pip install fusspy