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arXiv · 1605.05700

Cluster-lensing: A Python Package for Galaxy Clusters & Miscentering

Jes Ford·Jake VanderPlas
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Abstract

We describe a new open source package for calculating properties of galaxy clusters, including NFW halo profiles with and without the effects of cluster miscentering. This pure-Python package, cluster-lensing, provides well-documented and easy-to-use classes and functions for calculating cluster scaling relations, including mass-richness and mass-concentration relations from the literature, as well as the surface mass density $Σ(R)$ and differential surface mass density $ΔΣ(R)$ profiles, probed by weak lensing magnification and shear. Galaxy cluster miscentering is especially a concern for stacked weak lensing shear studies of galaxy clusters, where offsets between the assumed and the true underlying matter distribution can lead to a significant bias in the mass estimates if not accounted for. This software has been developed and released in a public GitHub repository, and is licensed under the permissive MIT license. The cluster-lensing package is archived on Zenodo (Ford 2016). Full documentation, source code, and installation instructions are available at http://jesford.github.io/cluster-lensing/.

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Jes Ford, Jake VanderPlas. 2016-05-18. Cluster-lensing: A Python Package for Galaxy Clusters & Miscentering. https://doi.org/10.3847/1538-3881%2F152%2F6%2F228

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