X-ray Spectral Classification of Sources in the Subaru XMM-Newton Deep Survey

Astronomy and Astrophysics – Astronomy

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Scientific paper

We present preliminary results from the application of a new X-ray spectral clustering algorithm to a deep XMM-Newton image, obtained as part of the Subaru XMM-Newton Deep Survey (SXDS). We found more than 100 X-ray sources in this field, using standard source detection techniques. The XMM/EPIC spectra for the detected sources have been extracted, and about 60 spectra with high S/N ratio have been selected for the purpose of classification. A hierarchical clustering algorithm, applied to the results of Independent Component Analysis (ICA) on the EPIC X-ray spectra, identifies a small group of X-ray sources that appear to be associated with moderate- to high-redshift active galaxies. Several of these objects have been identified as VLA radio sources, while the remainder do not have obvious radio counterparts. These results demonstrate the viability and potential broad applicability of X-ray spectral clustering methods to better understand the source populations detected in deep XMM and Chandra imaging.

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