Decoding Dark Matter: A Dynamical Code for the Joint Analysis of Cluster Observations

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Scientific paper

Here I present a new module that adds a dynamical component to the JACO (Joint Analysis of Cluster Observations). JACO is a massively parallel codebase for deriving constraints on the structure of galaxy clusters using X-ray, weak gravitational lensing, and Sunyaev-Zel'dovich data. The new module augments the existing codebase by calculating line-of-sight velocity dispersion profiles through solutions of the Jeans equation for arbitrary spherical mass and velocity anisotropy profiles. The resulting dynamical constraints will allow us to probe the dark matter distribution in a cluster of galaxies using line-width spectroscopy of the Brightest Cluster Galaxy as well as redshift surveys of member galaxies at large radii. Dynamical observations are expected to be the most robust mass indicators (other than rarely occurring strong lenses) in the innermost regions of clusters where steep central dark matter profiles are expected.

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