Stile

Stile: the Systematics Tests In LEnsing pipeline

Installation instructions

Stile is a pure python package, no compilation needed. You can install it using:

pip install stile

Dependencies

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.

Documentation

The documentation is available online at http://stile.readthedocs.io/. You can also build it using Sphinx in the doc/ directory.

Current functionality

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.

Wishlist

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.