Enabling simple gravitational lens modeling in the browser, using IPython notebooks and extended source modeling code adapted from Birrer et al (2015).

For an introduction to the lens modeling library method, check out Birrer et al (2015). EasyLens has an IPython Notebook "worksheet," that walks you through the lens modeling process. All images are assumed to be in color, which is to say that images in all available bandpasses are used.

The above link shows you the example worksheet IPython notebook. To run it, you will need to fork this repository, and clone it to your local machine. Then, do

python setup.py install

in a terminal window, from the top level directory. This will put all the EasyLens python code on your PYTHONPATH. macOS-users: Possible error with the installation of fastell4py. Make sure, gcc is linked with the full gcc Compiler (not clang, e.g. gcc6 via MacPorts): Try port select --list gcc and ```sudo port select --set gcc ``

This is research in progress. All content is Copyright 2016 The Authors, and the python code is available for re-use under the MIT License (which basically means you can do anything you like with it but you can't blame us if it doesn't work). If you end up using any of the ideas or code in this repository in your own research, please cite (Birrer et al 2015), and provide a link to this repo's URL: https://github.com/DES-SL/EasyLens. However, long before you get to that point, we'd love it if you got in touch with us! You can write to us with comments or questions any time using this repo's issues. We welcome new collaborators!

People working on this project:

• Simon Birrer (ETH Zurich, DES SL: @sibirrer)
• Tom Diehl (Fermilab, DES SL)
• Phil Marshall (KIPAC, DES Space Warps @drphilmarshall))
• Adam Amara (ETH Zurich, DES SL)
• Felix A. Kuhn (ETH Zurich, @kuhnfe)