Intrinsic Alignments

This is a project to measure and model the intrinsic alignments of galaxies in both observations and simulations.

Specifically, this is my fork of Duncan's intrinsic_alignments package with fixes to some of the errors encountered while trying to run.

Requirements

This project requires the following Python packages be installed:

numpy
scipy
astropy
The alignments_devel branch of Duncan's fork of halotools
My fork of rotations
watson_dist

Installation Instructions for Anaconda

I am currently working on simplifying the installation process for rotations.

Conda install is available for all except the specific version of halotools, rotations, and watson_dist. To install these from github using conda, do the following:

conda install git
conda install pip
To install rotations:
- Activate your conda environment
- Run: pip install git+https://github.com/nvanalfen/rotations
To install the proper fork of halotools:
- Make sure you have gcc version 5.3 or later. This is very important. The newest version will be the best option.
- Activate your conda environment
- Within your environment, run: pip install git+https://github.com/duncandc/halotools@alignments_devel
To install watson_dist there are several options:
- Run: pip install git+https://github.com/duncandc/watson_dist
- OR clone the repo and in the directory with setup.py and run: conda develop .

Alignment correlation functions are in development in Duncan's personal halotools fork in a dedicated branch. In addition to Duncan, this branch has contributions by:

Patricia Larson
Andrew Hearin
Simon Samuroff

Simulation Products

Hydrodynics Simualtions

This propject uses the results of an independent repository, Illustris_Shapes, for simulated galaxy/halo shapes and orientation catalogs.

Dark Matter Only Simulations

In addition to the Illustris DMO simulations, this project uses the dark matter only simualtions:

Bolshoi Planck