cardiac 1.1.4

Code for Anisotropic Redshift Distributions in Angular Clustering

CARDiAC

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.

Installation

The code can be installed simply by running

 python -m pip install

Dependencies:

• numpy, scipy, matplotlib
• astropy
• healpy
• py3nj
• camb
• numba for 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.

Usage

See Tutorial.ipynb at the code's repository on Github.

Attribution

If you use the code, please cite Baleato Lizancos & White 2023.