Computer Science
Scientific paper
Jul 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008hst..prop11689d&link_type=abstract
HST Proposal ID #11689. Cycle 17
Computer Science
Scientific paper
Vigorous cluster mergers provide a unique opportunity to directly "see" dark matter and to probe its properties through the analysis of the segregation of the baryonic and non-baryonic components. This is accomplished through detailed comparison of the mass distributions as traced by X-ray emitting gas and by gravitational lensing. This condition is rare and so far only one cluster has met these requirements, the so-called "bullet" cluster, producing exciting results and placing constraints to the properties of dark matter. These constraints have a broad impact on models for formation of structure and on galaxy evolution. This multi-wavelength analysis has the potential confront alternative gravity models such as MOND. Therefore, it is crucial to find new ?bullet clusters? to corroborate and improve previous measurements. This is the most direct way to constrain dark matter properties and A2744 is ideal for corroborating this study since it maximizes all the requirements for this analysis. Here, we propose to carry out such analysis through combined ACS and Chandra observations of the cluster merger Abell 2744.;
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