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Smoothed particle inference: A kilo-parametric method for X-ray galaxy cluster modeling
Stockholm University, Faculty of Science, Department of Physics.
2007 (English)In: Astrophysical Journal, ISSN 0004-637X, E-ISSN 1538-4357, Vol. 655, no 1, 109-127 p.Article in journal (Refereed) Published
Abstract [en]

We propose an ambitious new method that models the intracluster medium in clusters of galaxies as a set of X-ray-emitting smoothed particles of plasma. Each smoothed particle is described by a handful of parameters including temperature, location, size, and elemental abundances. Hundreds to thousands of these particles are used to construct a model cluster of galaxies, with the appropriate complexity estimated from the data quality. This model is then compared iteratively with X-ray data in the form of adaptively binned photon lists via a two-sample likelihood statistic and iterated via Markov chain Monte Carlo. The complex cluster model is propagated through the X-ray instrument response using direct sampling Monte Carlo methods. With this approach, the method can reproduce many of the features observed in the X- ray emission in a less assumption-dependent way than traditional analyses, and it allows for a more detailed characterization of the density, temperature, and metal abundance structure of clusters. Multi-instrument X- ray analyses and simultaneous X- ray, Sunyaev-Zeldovich ( SZ), and lensing analyses are a straightforward extension of this methodology. Significant challenges still exist in understanding the degeneracy in these models and the statistical noise induced by the complexity of the models.

Place, publisher, year, edition, pages
2007. Vol. 655, no 1, 109-127 p.
Keyword [en]
methods, data analysis, X-rays, galaxies, clusters, zeldovich effect data, perseus cluster, chandra observations, joint analysis, xmm-newton, core, spectroscopy, merger, gas
National Category
Astronomy, Astrophysics and Cosmology
URN: urn:nbn:se:su:diva-57518DOI: 10.1086/509095ISI: 000243725400010OAI: diva2:416248
authorCount :3Available from: 2011-05-11 Created: 2011-05-11 Last updated: 2011-05-11Bibliographically approved

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