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CLUSTER-LENSING: A PYTHON PACKAGE FOR GALAXY CLUSTERS AND MISCENTERING
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DOI：10.3847/1538-3881/152/6/228.png)
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Abstract
En 中文
We describe a new open source package for calculating properties of galaxy clusters, including Navarro, Frenk, and White 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 Sigma(R) and differential surface mass density Delta Sigma(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. Full documentation, source code, and installation instructions are available at http://jesford.github.io/cluster-lensing/.
Keywords:
dark matter
galaxies: clusters: general
gravitational lensing: weak
methods: data analysis
methods: numerical
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