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Accurate predictions for the clustering of galaxies in redshift-space in Python

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pyRSD

DOI

pyRSD is a Python package for computing the theoretical predictions of the redshift-space power spectrum of galaxies. The package also includes functionality for fitting data measurements and finding the optimal model parameters, using both MCMC and nonlinear optimization techniques.

The software is compatible with Python versions 2.7, 3.5, and 3.6.

Testing is performed via the continuous integration service for Python version 2.7, 3.5, and 3.6. The build status of those tests is below.

Build Status

Installation

The package is installable via the conda utility as

conda install -c nickhand -c astropy pyrsd

Reference

The theoretical models used in this paper are described in more detail in Hand et al. 2017. Please cite this work if you use this package in your research.

Documentation

For installation instructions, examples, and full API documentation, please see Read the Docs.