Code for Anisotropic Redshift Distributions in Angular Clustering
CARDiAC is a python code that computes the impact of anisotropic redshift distributions on a wide class of angular clustering observables, following Baleato Lizancos & White 2023.
At present, the code supports auto- and cross-correlations of galaxy samples and cosmic shear maps, including galaxy -galaxy lensing. The anisotropy can be present in the mean redshift and/or width of Gaussian distributions, as well as in the fraction of galaxies in each component of multi-modal distributions. Templates of these variations can be provided by the user or simulated internally within the code.
numpy,scipy,matplotlibastropyhealpypy3njcambnumbafor JIT compilation of galaxy lensing kernels, which are slow to compute otherwise
Optionally, galaxy-galaxy and galaxy-matter spectra can be obtained from a Lagrangian bias expansion using the anzu
code if the user has it installed.
pip install cardiac==1.1.6
First, clone the repository
git clone https://github.com/abaleato/CARDiAC.git
and from within it run
python -m pip install -e .
See Tutorial.ipynb.
If you use the code, please cite Baleato Lizancos & White 2023.