Stile: the Systematics Tests In LEnsing pipeline
Stile is a pure python package, no compilation needed. You can install it using:
pip install stile
To run Stile, you must have:
- Python 2.7
- NumPy
We also recommend:
- TreeCorr, Mike Jarvis's 2-point correlation function code. All of our correlation function tests involve calls to this package.
- PyFITS/Astropy to handle FITS tables and images. Stile can run on ASCII tables, but is much slower.
- matplotlib to generate plots.
Note that these dependencies will be automatically installed by pip. More dependencies may be added in the future.
The documentation is available online at http://stile.readthedocs.io/. You can also build it using Sphinx in the doc/ directory.
Right now, Stile can:
- Generate an average shear signal around a set of points (if you've installed corr2), given two catalogs that you specify in a particular way, and plot the results (if you have matplotlib).
- Perform a number of basic statistics measurements and print the results.
- Make whisker plots.
- Make scatter plots with trendlines.
- Generate histograms.
- Perform any of the above tests for data with different binning schemes applied, using a simple method of specifying the bins.
- Interface with sufficiently recent versions of the HSC pipeline.
Over the upcoming months, we plan to add:
- A more flexible way of specifying your data set than hard-coding the file names in your script.
- Automatic drivers to run as many tests as your data set allows.
- A larger suite of example code.
- Tests on images, and the utilities to make those tests easier.