This package, described in detail in Baumer, et al. 2017, provides methods to fit models of distorted pixel grids to flat-field data, and compute their corresponding systematic impacts. For examples of how the code can be used, see the included demo notebook.
After cloning, there are two submodules to compile before the code is ready to use.
- Within
code/weak_sauce/r3d/, compile the pixel flux integration module with:
$> make
- Within
code/weak_sauce/adaptive_moments/, compile the adaptive moments module with:
$> python adaptive_moments_setup.py build_ext --inplace
- Make sure you have https://github.com/GalSim-developers/GalSim installed (easiest done with
conda).
$> conda install galsim
-
You'll also need to install
sklearn, scipy, numpy, matplotlib. -
Make sure that the path to
codeis on your$PYTHONPATH, or alternatively in your code add the following lines:
import sys sys.path.append("/path/to/weak_sauce/code")