Monte Carlo approach to Dark Matter Mapping

Astronomy and Astrophysics – Astronomy

Scientific paper

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Scientific paper

We present an an analysis method of constructing dark matter maps based on weak lensing using a Markov Chain Monte Carlo technique. The dark matter in a cluster can be modeled as a collection of massive blobs that bend light according to gravitational lensing. We move these dark matter blobs in RA, Dec and redshift and as a result perturb the ellipticities of subsequent background galaxies. With this method we have looked at images of Abell 2218 from the Subaru archive, which have been analyzed by our wavelet source detection algorithm and all the ellipticities calculated using second moments. From this we have been able to reconstruct a mass map. With the ability to reconstruct dark matter distributions in redshift as well as projected on the sky, we may be able to more accurately reconstruct the dark matter web.

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