This repository contains tools for measuring intrinsic alignments of galaxies and galaxy groups in spectroscopic data.

spec-IA requires Python and the following libraries:

• NumPy
• Matplotlib
• Pandas
• SciPy
• Astropy
• Corrfunc (optional, for correlation functions)

These can be installed through pip:

bash pip install numpy matplotlib pandas scipy astropy

or conda:

bash conda install numpy matplotlib pandas scipy astropy

The repository can be cloned via

bash git clone https://github.com/cmlamman/spec-IA

gal_groups.py contains functions for identifying and measuring the alignment of galaxy multiplets. The alignment estimator is defined as the projected orienation of groups relative to a tracer sample, $\cos(2\Theta)$, as a function of projected separation $R$. A high-level example of this for a galaxy catalog can be found in basic_multiplet_alignment.ipynb. A quick version for simulation data can be round in basic_multiplet_alignment-sims.ipynb

The minimum to run these basic functions is a catalog with the columns RA, DEC (in degrees) and Z (redshift) or 3D comoving coordinates (in Mpc/h).