Markov Chain Monte Carlo joint analysis of Chandra X-ray imaging spectroscopy and Sunyaev-Zeldovich Effect data

X-ray and Sunyaev-Zeldovich Effect data can be combined to determine the distance to galaxy clusters. High-resolution X-ray data are now available from the Chandra Observatory, which provides both spatial and spectral information, and Sunyaev-Zeldovich Effect data were obtained from the BIMA and OVR...

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Bibliographic Details
Published inarXiv.org
Main Authors Bonamente, Massimiliano, Joy, Marshall K, Carlstrom, John E, Reese, Erik D, LaRoque, Samuel J
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 21.06.2004
Subjects
Bayesian analysis
Computing time
Galactic clusters
Galaxies
Markov analysis
Markov chains
Monte Carlo simulation
Sunyaev-Zeldovich effect
X ray imagery
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Summary:X-ray and Sunyaev-Zeldovich Effect data can be combined to determine the distance to galaxy clusters. High-resolution X-ray data are now available from the Chandra Observatory, which provides both spatial and spectral information, and Sunyaev-Zeldovich Effect data were obtained from the BIMA and OVRO arrays. We introduce a Markov chain Monte Carlo procedure for the joint analysis of X-ray and Sunyaev-Zeldovich Effect data. The advantages of this method are the high computational efficiency and the ability to measure simultaneously the probability distribution of all parameters of interest, such as the spatial and spectral properties of the cluster gas and also for derivative quantities such as the distance to the cluster. We demonstrate this technique by applying it to the Chandra X-ray data and the OVRO radio data for the galaxy cluster Abell 611. Comparisons with traditional likelihood-ratio methods reveal the robustness of the method. This method will be used in follow-up papers to determine the distances to a large sample of galaxy clusters.
ISSN:2331-8422
DOI:10.48550/arxiv.0403016